Triboro Ecodistrict Energy Baseline Study

TRIBORO ECODISTRICT

ENERGY BASELINE STUDY

with New Sun Rising and support from The Henry L. Hillman Foundation August 2022

TRIBORO ECODISTRICT

ENERGY BASELINE STUDY

New Sun Rising Brian Wolovich, Triboro Ecodistrict Director Zaheen Hussain, Director of Sustainability Elias Smolcic Larson, Americorps VISTA evolve environment::architecture Anna Rosenblum, Associate Nico Azel, Technical Analyst Harisa Martinos, Technical Analyst with Sarah SanGiovanni Green Building Alliance Duquesne Light Peoples Gas Penn State University with support from The Henry L. Hillman Foundation Photos and images provided by evolveEA and the Triboro Ecodistrict unless otherwise noted.

August 2022 4

TABLE OF CONTENTS Energy in the Triboro Ecodistrict

7

Introduction

13

1 | Building Energy Characteristics

17

2 | Utility Data Analysis

29

3 | Resident Survey Results

39

Scenario Modeling

53

Appendix

60

Energy Context The Energy Challenge Triboro Ecodistrict Energy Successes Energy Baseline Study Executive Summary

Methodology Precedent Research Study Limitations Recommended Next Steps

Triboro Ecodistrict Residential Snapshot Millvale Residential Snapshot Etna Residential Snapshot Sharpsburg Residential Snapshot

Dwelling Type Square Footage Condition Year Built Systems Exterior Finish

A. Precedent Research B. Hierarchy and Ranking of Characteristics Based on Research C. Energy Analysis Assumptions and Comparison D. Building Characteristic Maps and Analysis E. Resident Survey Questions and Results

Triboro Ecodistrict Energy Baseline Study | 5

TRIBORO ECODISTRICT 2030 ENERGY VISION STATEMENTS

Millvale is a self reliant urban solar village.

Etna is an innovative community that takes collective action to provide smart energy solutions.

Sharpsburg is an energy independent community.

6

ENERGY IN THE TRIBORO ECODISTRICT The Triboro Ecodistrict promotes coordinated sustainable community development throughout the Boroughs of Millvale, Etna, and Sharpsburg, which earned the honor of being the first three EcoDistricts certified communities in the world.

ENERGY CONTEXT With over 10,000 residents combined, these Allegheny River Towns are building on a strong collaborative history to improve quality of life through the shared lenses of Equity, Food, Water, Energy, Air Quality, and Mobility.

The Triboro Ecodistrict partners help to reduce and mitigate the impacts of climate change by centering the community’s voice through an ecodistricts approach. Together, they are building healthier, inclusive, and sustainable communities for current and future generations.

Energy was selected as one of the three key quality of life areas to address during the establishment of the Millvale Ecodistrict in 2012.

The concept has been revisited as part of the Millvale Pivot 2.0 Plan in 2015, the Sharpsburg Community Vision Plan in 2017, and the Etna EcoDistrict Plan in 2019. With each planning effort, the three communities have found ways to reduce their community’s carbonbased energy consumption through beautiful and high performing places, programs, and initiatives.

Every energy-related effort has been carefully considered for its potential to provide cost savings, reduce energy consumption, increase adoption of renewable energy, increase community resilience, and to achieve equitable outcomes by reducing the energy burden for community members.

The Triboro Ecodistrict has established vision statements for each of the three communities that describes the energy future they would like to see by the year 2030. These guiding statements, along with an energy hierarchy that prioritizes energy conservation, solarization, and resilience, has guided their efforts.

The Triboro Ecodistrict helps residents and institutions gain access to the resources and information necessary to learn about and implement affordable and clean energy projects. They also provide project technical assistance and implementation guidance to help their communities achieve their energy vision statements.

TRIBORO ECODISTRICT ENERGY HIERARCHY CONSERVE

reduce energy consumption

PRODUCE

renewable energy production

RESILIENCE self-sufficient energy hubs

Triboro Ecodistrict Energy Baseline Study | 7

THE ENERGY CHALLENGE High risk of flooding, poor air quality, and household energy costs put unnecessarily strain on residents in the Triboro Ecodistrict.

In Pennsylvania, 63% of energy comes from extractive, fossil fuels such as coal, natural gas, and petroleum. Continued reliance on these carbonbased sources contributes to poor respiratory health and cancer rates.

These emissions not only make us less healthy, but contribute to a rapidly changing climate as evidenced by the frequency of severe storms and supposed “100 year floods”.

How we choose to produce and consume our energy will largely dictate the sustainability of communities like Millvale, Etna, and Sharpsburg. By prioritizing clean and affordable options like solar energy, we can reduce these negative impacts while keeping more money in the pockets of residents and key partners who support them.

PENNSYLVANIA’S ENERGY GENERATION CONSISTS OF ONLY 0.001% SOLAR ENERGY 0.001%

NUCLEAR

19.43%

HYDRO

0.007%

ELECTRICITY GENERATION 48.40%

0.006%

GEOTHERMAL 0.0005%

NATURAL GAS

COMMERCIAL 0.08%

37.36%

COAL

12.72%

BIOMASS

3.44%

PETROLEUM

25.51%

ENERGY LOST 68.73%

RESIDENTIAL 13.24%

END USERS

PRIMARY ENERGY

WIND

SECONDARY ENERGY

ELECTRICITY EXPORTS SOLAR

INDUSTRIAL 25.79%

ENERGY USED 31.27%

TRANSPORTATION 21.54%

Source: Pennsylvania’s Energy Consumption by Source and Sector (2019), Lawrence Livermore National Laboratory

SOLAR ENERGY HAS ECONOMIC, ENVIRONMENTAL, AND HEALTH BENEFITS Amount of global energy derived from renewables in 2019

Increase in the clean energy job industry versus the overall economy

Medical costs from premature births due to fossil fuel emissions

Increase of U.S. renewable energy investment in 2019

18%

+70%

$5 billion

29%

Amount of solar energy generated in the U.S. in 2020

Over the last five years, drop in price of photovoltaic modules

Amount that Americans would save annually if 100% renewable energy was used

Average increase of home value with solar panels

132.63 Twh

77%

$321 billion

$15,000

Source: Triboro Ecodistrict Data Story Report, New Sun Rising

8

TRIBORO ECODISTRICT ENERGY SUCCESSES The Triboro Ecodistrict has secured considerable funding from the Pennsylvania Department of Environmental Protection, the Henry L. Hillman Foundation, and the Heinz Endowments that has allowed them to bring several energy-related projects to fruition. A selection of these projects include:

Millvale Food + Energy Hub | Solarization + Resiliency This 10,000 square foot former Moose Lodge has been transformed into a solar powered facility that serves as a cafe, food rescue, co-working space, public and private event space, job training space, and gathering space for enhanced community resilience. The building contains a Solar DC Microgrid System that serves as a learning tool, as well as the beginnings of a future energy hub.

Solar Arrays on Key Community Buildings | Solarization The Triboro Ecodistrict has installed solar arrays on key community buildings, including the Sharpsburg Sustainability & Civic Engagement Center, Millvale Community Library, Etna Community Garden (including an electric vehicle charging station), and soon, the Etna Center for Community.

Solar Workforce Development & Education Program | Solarization The program consists of 1) Solar Energy Workforce program, with training, certification, and hands-on experience with a professional solar installer to prepare participants for entry into the growing clean energy industry.

2) Teen Solar Fellowship that introduces students to the technical skills, career experiences, and valuable connections that can help them to succeed in the installation industry. 3) Energy Discovery Zone, which provides educational opportunities.

Energy Audits | Conservation The Sharpsburg Neighborhood Organization (SNO) was awarded a 6-year grant to perform residential energy audits throughout the Triboro Ecodistrict and provide funding for homeowners to implement recommendations from the audits.

Artful Energy Demonstrations w/ LAGI Studio | Solarization HELIOStudio, a Carnegie Mellon University architecture studio that took place in collaboration with Land Art Generator Inc. (LAGI) in the fall of 2021, examined the reciprocal relationship between landscape, urban form, and distributed infrastructure in the pivot between carbon-based energy and renewable energy. The studio explored these concepts in Etna, PA through generalized urban integrated typologies, urban solar capacity analyses, and tools for community engagement and empowerment.

Accelerating Solar Investment Study | Solarization This study seeks to increase the rate of solar adoption in the Triboro Ecodistrict by quantifying and promoting investment opportunities for solar across the three communities. This study found that there is almost 1.4 million square feet of viable roof area for solar panels across the Triboro Ecodistrict.

Triboro Ecodistrict Energy Baseline Study | 9

TRIBORO ECODISTRICT ENERGY BASELINE STUDY EXECUTIVE SUMMARY

The initiatives described on the previous spread are working to achieve the Triboro Ecodistrict’s energy goals in different ways. This report, the Triboro Ecodistrict Energy Baseline Study, helps the three communities to better understand residential energy consumption in Millvale, Etna, and Sharpsburg to inform future 2030 Energy Action Plan and goal creation. This study, and the scenarios modeled at the conclusion of the study, can inform decision making about how to most impactfully, cost efficiently, and/or equitably implement initiatives that will continue to help the Triboro Ecodistrict meet their energy goals. The recommendations on the adjacent page were informed by the findings from this report and have varying impacts, cost, and effort to implement.

10

SUMMARY OF KEY RECOMMENDATIONS RECOMMENDATION

IMPACT

COST

EFFORT

1. Increase internal capacity to implement energy-related recommendations by hiring a Triboro Ecodistrict coordinator.

2. Acquire funding to support additional solarization efforts throughout the communities, which will also create more jobs.

3. Encourage participation in existing government rebate and financial assistance programs to upgrade HVAC systems to all-electric, energy efficient models that protect from poor outdoor air quality and improve thermal comfort.

4. Encourage residents to adjust their water heater temperature and retire their second refrigerator (if they have one).

5. Implement weatherization programs, with targeted recruitment of houses with building characteristics that account for a significant proportion of total community energy consumption and with high EUIs. This could include single family detached houses, smaller houses, houses that are described as often being “drafty”, and houses in average condition.

6. Recruit resident energy ambassadors to develop and distribute a list of resident behavior recommendations for how to reduce energy consumption, including programming a setback thermostat, changing lightbulbs, unplugging appliances when not in use, etc.

7. Encourage community-wide advocacy at all levels of governance, that promotes incentives for and reduces barriers to solar adoption.

8. Implement insulation programs including cavity-filled insulation for houses with frame construction and exterior rigid insulation for houses with siding that is nearing its end of life.

9. Implement a green power purchase campaign to encourage broader adoption of green power purchase, including inviting representatives from Green Mountain Energy and other companies to public events and energy-themed programs.

10. Host a lightbulb giveaway program to encourage residents to change their lightbulbs to LEDs. 11. Encourage residents to purchase programmable thermostats and train high school students to help install and program them.

12. Perform an assessment and/or develop a checklist specific to the Triboro Ecodistrict to better assess building envelope condition and perform improvements on building envelopes in poor condition.

13. Encourage energy efficiency best practices for housing renovations, and density, dwelling types with shared walls, and high insulation levels for new construction.

Triboro Ecodistrict Energy Baseline Study | 11

12

INTRODUCTION The purpose of the Triboro Energy Baseline Study is to better understand residential site energy consumption in Millvale, Etna, and Sharpsburg to inform future 2030 Energy Action Plan and goal creation.

METHODOLOGY

The Triboro Ecodistrict seeks to reduce greenhouse gas (GHG) emissions, therefore lessening their contribution to the climate crisis. The Millvale Pivot 2.0 Plan, Sharpsburg Community Vision Plan, and Etna EcoDistrict Plan describe strategies that contribute to this goal, including strategies that reduce site energy consumption and increase on-site renewable energy production. The results of this study will inform a future prioritized 2030 Energy Action Plan and goals and will be used to evaluate progress as future energy strategies are implemented.

The Triboro Energy Baseline Study consists of three components:

1 | BUILDING ENERGY CHARACTERISTICS Analysis of the number of residential units, dwelling type, square footage, building age, condition, presence of heating and air conditioning systems, and exterior finish.

2 | UTILITY DATA COLLECTION & ANALYSIS Collection and analysis of actual energy consumption data, analyzed according to the building energy characteristics.

3 | RESIDENT SURVEY Resident survey to understand behaviors and perceptions related to residential energy consumption.

Triboro Ecodistrict Energy Baseline Study | 13

1 | Building Energy Characteristics Millvale Borough Boundary 1820 - 1900 1901 - 1920 1921 - 1970 1971 or later

County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, Intermap, USGS, EPA, Esri, HERE

Year Built (Millvale) Count

594

500

1

0

0

2

4

1

5

4

91 68 66 86

Mean : 1908 45 15 7 24 33 30 6

2

7

5

7

8

1

18 2 18 0 2 18 6 3 18 3 3 18 9 4 18 5 52 18 58 18 6 18 4 7 18 1 7 18 7 8 18 3 9 18 0 9 19 6 0 19 2 0 19 9 1 19 5 2 19 1 2 19 8 3 19 4 4 19 0 4 19 7 5 19 3 5 19 9 6 19 6 7 19 2 7 19 8 85 19 9 19 1 9 20 7 0 20 4 10

0

70 80 17 53

Median : 1900 Normal Dist.

Year Built

The consultant team performed research on building characteristics and their impact on energy consumption. Following this, evolveEA performed an analysis of the residential building stock in each of the three communities using publicly available information from the Allegheny County Property Assessments. The analysis focused on building characteristics from the research that were identified as having an impact on energy consumption, characteristics that can be changed, and characteristics that can be analyzed based on publicly available data. The analysis included mapping of the dwelling type, square footage, age, condition, presence of heating and air conditioning systems, and exterior finish.

These building energy characteristics served as the basis for the data collection efforts performed in collaboration with Duquesne Light and Peoples Gas.

2 | Energy Utility Data Collection & Analysis

In collaboration with the Green Building Alliance, evolveEA and the Triboro Ecodistrict worked with Duquesne Light and Peoples Gas to acquire actual residential energy consumption data for all residential properties in the three communities in 2017. Due to privacy concerns, the acquired data was not associated with specific properties, but instead is organized based on the building energy characteristics. This data was then analyzed to understand trends in energy consumption based on the various building characteristics.

The results informed the Energy Use Analysis, which includes the consultant team’s initial hypothesis, findings, and energy conservation recommendations for residential properties, organized by building characteristic.

_____________________________________________________________________________________ SHARPSBURG ENERGY USE SURVEY Thank you for your interest in the Sharpsburg Energy Use Survey! This survey will help show current energy use and costs in Sharpsburg. With this information, the Triboro Ecodistrict will implement programs to reduce energy use and help you save money on your energy bills. It should take 10 minutes to complete this survey and those who participate will be entered into a raffle to win four $25 VISA gift cards.

An additional two $50 VISA gift cards will be raffled off among volunteers willing to share their January 2019 – January 2020 energy bills (gas and electric). Sharing energy bills will provide more detailed energy use and expense information for Sharpsburg. Your personal information will not be shared and participating will not affect your eligibility for utility assistance programs now or in the future.

To enter the raffle(s), indicate whether you are interested in sharing your energy bill, and submit your survey, please fill out the bottom portion of this page and return it with your completed survey by dropping it off in person or mailing it to either: The Sharpsburg Community Library 1212 Main Street, Pittsburgh, PA, 15215

3 | Resident Survey

The Sharpsburg Neighborhood Organization 511 S. Main Street, Pittsburgh, PA, 15215 Submit your survey by the deadline of July 31, 2020.

If you would prefer, you can fill out and submit this survey online instead by visiting: https://tinyurl.com/SharpsburgEnergyUse

I HAVE COMPLETED THE SHARPSBURG ENERGY SURVEY! Name: _______________________________________________________________________________ Email: _______________________________________________________________________________ Phone: _______________________________________________________________________________ Home address in Sharpsburg: ____________________________________________________________ Are you interested in learning more about sharing your January 2019 – January 2020 energy bill? A Triboro Ecodistrict organizer will contact you to follow up if you select “Yes”

o Yes

o No

What is the best way to reach you about the raffle result and/or sharing your energy bills?

oPhone call

oEmail

o Letter home

This survey is a project of the Triboro Ecodistrict, a coordinated sustainable development initiative across The Boroughs of Millvale, Etna, and Sharpsburg. To learn more, see: https://www.newsunrising.org/project/triboro-ecodistrict/

14

In addition to the energy use analysis, the consultant team wanted to understand residential energy consumption behaviors that cannot be easily understood through utility data. In collaboration with Sarah SanGiovanni, the consultant team issued an Energy Use Survey to residents in the Triboro Ecodistrict, which included questions about the residents’ homes, energy use, energy costs, alternative energy and sustainability, and demographic information. Analysis of the survey results provides additional findings and recommendations to reduce energy consumption in the three communities.

PRECEDENT RESEARCH

Prior to the implementation of the Triboro Energy Baseline Study, Sarah SanGiovanni performed precedent research to understand the methodology pursued by other community energy studies. A detailed analysis of this precedent research can be found in Appendix A. While no single precedent directly informed the methodology of this study, the precedent research provided useful findings that informed aspects of this methodology.

STUDY LIMITATIONS

While the Triboro Energy Baseline Study was performed with the best available data and methods available to the consultant team at the time, there are limitations to this study. The consultant team compared the residential data collection results to the energy analysis performed as part of the ICLEI Climate Action Plan efforts conducted by Penn State University Students and noticed varying discrepancies in residential energy consumption between the two efforts. This is likely due to differing “data cleaning” methods between the two efforts. For this study, properties listed with 0 square footage in area, “N/A” listed for energy consumption, and dwelling types of 5 housing units or more were excluded from this analysis.

Further detail regarding these discrepancies can be found in Appendix C. While the data analysis was performed with the best available data and methods available to the consultant team at the time, there are limitations.

Home energy consumption is influenced by a variety of factors and is not limited to the six building characteristics analyzed in this study. Additional factors include resident behavior, appliances, payment responsibility for utility bills, number of household members, primary heating fuel, and much more that was not analyzed as part of this study.

There are also limitations to the Resident Survey. The respondents were self-selected as opposed to a pre-determined representative sample of residents. Survey respondents may have had more time, interest, and previous history of involvement with civic initiatives compared to those who did not complete the survey.

RECOMMENDED NEXT STEPS

These next steps are recommended to advance the findings from this study: 1.

To have greater confidence in the data analysis, it is recommended that actual utility bills are acquired from a representative sample of houses in the Triboro Ecodistrict. The energy consumption could be analyzed in relation to building characteristics at a granular level to determine if the trends found in this study align.

2.

The findings from this report should inform development of an energy action plan that begins with energy conservation, solarization, and then resilience. The action plan should be prioritized using first cost, energy savings, return on investment, and social equity considerations.

3.

The Triboro Ecodistrict should complete the feasibility study and business plan and seek investment in “Accelerating Solar Investment Study” to advance solarization in the Triboro Ecodistrict.

4.

New Sun Rising should continue to grow the Solar Workforce Development program and align with community installations.

Triboro Ecodistrict Energy Baseline Study | 15

BUILDING CHARACTERISTICS Building Characteristic Subcategories

DWELLING TYPE Single Family House

Two-Family House; Rowhouse; Townhouse

SQUARE FOOTAGE

Three-Family; Four-Family House

<1,000 ft.2

BUILDING CONDITION Very Good, Good

Average

Fair

Poor

HVAC SYSTEMS Central Heat

16

Central Heat w/AC

1,000 2,000 ft.2

>2,000 ft.2

YEAR BUILT 1900 or earlier

1901 to 1920

1921 to 1970

1970 or later

EXTERIOR FINISH Unit Heat

Frame

Brick

Masonry Frame

Other

1 | BUILDING ENERGY CHARACTERISTICS The consultant team performed research on building characteristics and their impact on energy consumption. Following this, evolveEA performed an analysis of the residential building stock in each of the three communities using publicly available information from the Allegheny County Property Assessments. The analysis focused on building characteristics that were identified as having an impact on energy consumption, characteristics that can be changed, and characteristics that can be analyzed based on publicly available data. The building energy characteristics included dwelling type, square footage, age, condition, presence of heating and air conditioning systems, and exterior finish of residential properties in the three communities. The prevalence of these building characteristics in the Triboro Ecodistrict informed the definition of the building characteristic subcategories.

There are six building characteristics (listed previously), with three or four subcategories each, for a total of 22 building characteristic subcategories.

These building characteristic subcategories served as the basis for the data collection efforts by Duquesne Light and Peoples Gas. Due to privacy concerns, utility data cannot be acquired for specific properties or groups of properties that would sacrifice anonymity. Instead, the utility data was provided to the consultant team organized by building characteristic subcategories. This allowed the consultant team to perform analysis and understand which building characteristics most impact building energy consumption, and to understand which building characteristic subcategories tend to consume more energy per square foot, making them good candidates for targeted energy conservation projects and programs.

BUILDING ENERGY CHARACTERISTICS Analysis of the number of residential units, dwelling type, square footage, building age, condition, presence of heating and air conditioning systems, and exterior finish.

The six building characteristics and related subcategories can be seen on the adjacent page, and example analysis maps for Millvale, Etna, and Sharpsburg are shown on the following spread. These maps are also included in Appendix D.

HOUSES IN SHARPSBURG AND ETNA

Triboro Ecodistrict Energy Baseline Study | 17

MILLVALE | DWELLING TYPE

MILLVALE | SQUARE FOOTAGE

MILLVALE | BUILDING CONDITION

Millvale Borough Boundary Millvale Borough Boundary

VERY GOOD GOOD

SINGLE FAMILY

AVERAGE

ROWHOUSE

FAIR

TOWNHOUSE

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

ETNA | DWELLING TYPE

.6

.2

28

5,3

01

75

4,6

48

.8

Mean : 1,568.14485 Median : 1,450

617

200

Normal Dist.

0

Building Square Footage

ETNA | SQUARE FOOTAGE

617

400

Count

3 3 0 0 2 1 1

5,0

0

4,3

.6

.4

.2

96

22

4,0

3,6

69

3,3

.8

5 12 13 3 3 5 0 4

43

16

.4

25 26

3,0

.6

90

64

51 50

2,3

.2

72

2,0

.8

37

1,7

8.4

Building Condition (Millvale) 600

100

11

84

0

134

TWO FAMILY

75

16

TOWNHOUSE

2

35

THREE FAMIL...

Type

37

121

1,4

SINGLE FAMI...

9

67

1,0

ROWHOUSE

43

20

FOUR FAMILY

100

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

Square Footage (Millvale)

182194 160 142

200

Count

Count

955

2,7

Dwelling Type (Millvale)

0

UNSOUND

2500 - 5328 sf

FOUR FAMILY

172

VERY POOR

1509 - 2499 sf

THREE FAMILY

500

POOR

432 - 1508 sf

TWO FAMILY

61

1

24

VERY GOOD

GOOD

AVERAGE

FAIR

Building Condition

POOR

10

2

VERY POOR

UNSOUND

ETNA | BUILDING CONDITION

Etna Borough Boundary

Etna Borough Boundary

SINGLE FAMILY

VERY GOOD

ROWHOUSE

GOOD

TOWNHOUSE

AVERAGE

TWO FAMILY

FAIR POOR

THREE FAMILY

VERY POOR

FOUR FAMILY

Etna Borough Boundary 432 - 1434 1435 - 2268 2269 - 5249 Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

1,106

SHARPSBURG | DWELLING TYPE

Square Footage (Etna)

Building Condition (Etna)

590

49

5,2

.9 27

.6

.7

85

06

4,2

4,6

4,9

.5

.3

3,9

43

3,6

0 5 0 5 1 0 0 0 0 2

64

.2

.1

22

3,3

3,0

2,6

79

.9

23 16 6 8 6 2 4

01

.8

.7

2,3

37

56 38 39

58

.5

.4

.3

3.1

16

2,0

TWO FAMILY

95

TOWNHOUSE

74

THREE FAMIL...

Dwelling Type

19 29

1,7

SINGLE FAMI...

100 0

130

75

ROWHOUSE

7

272 228 215 181 122102

154

1,3

FOUR FAMILY

25

76

1,0

Count 22

2

0

18

43

Count

500

200

Mean : 1,517.39652 Median : 1,412 Normal Dist.

200

149

52

0

GOOD

Square Footage

SHARPSBURG | SQUARE FOOTAGE

482

400

Count

Dwelling Type (Etna) 1,000

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, Intermap, USGS, EPA, Esri, HERE

AVERAGE

FAIR

36

POOR

Building Condition

VERY POOR

SHARPSBURG | BLDG CONDITION

SINGLE FAMILY ROWHOUSE TOWNHOUSE

342 - 1000 sf

VERY GOOD

TWO FAMILY

1001 - 2000 sf

GOOD

THREE FAMILY

2001 - 5300 sf

AVERAGE

FOUR FAMILY

FAIR

APART: 5-19 UNITS

POOR

APART:20-39 UNITS

VERY POOR

INDEPENDENT LIVING (SENIORS)

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

Square Footage (Sharpsburg)

18

Building Square Footage

00

5,3

69

4,9

78

4,3

08

1 3 0 0 0 0 1

39

6 4

Median : 1,665 Normal Dist.

Count

Mean : 1,773

4,6

47

3,6

3,9

17

86

15 19 3 7 9 4

2,9

56

25

2,6

95

2,3

1,9

64

Count

Building Condition (Sharpsburg) 614

600 89 84 37 25 34

34

0

171 154 149 119 109

1,3

TWO FAMILY

88

1,6

TOWNHOUSE

15

1 2

3

THREE FAMIL...

Dwelling Type

2

SINGLE FAMI...

154

03

ROWHOUSE

36

67

FOUR FAMILY

23

48

1,0

0

86

100

34

Count

759

3,3

Dwelling Type (Sharpsburg) 500 15

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

400

326

200 0

1

6

VERY GOOD

GOOD

108

AVERAGE

FAIR

Building Condition

POOR

13

5

VERY POOR

UNSOUND

MILLVALE | YEAR BUILT

MILLVALE | HVAC SYSTEMS

MILLVALE | EXTERIOR FINISH

Millvale Borough Boundary

Millvale Borough Boundary

Millvale Borough Boundary

1820 - 1900

Central Heat with AC

<Null>

1901 - 1920

Central Heat

Log

1921 - 1970

Floor Furnace

Brick

1971 or later

Unit Heat

Concrete Block

Other

Frame

None

Masonry FRAME

<Null>

Count

313

it

H

O th

ea t

er

on e

0

Un

Fu

N

rn

a.. .

ea ...

500

HVAC Systems

Year Built

ETNA | YEAR BUILT

953

4

or

Normal Dist.

Exterior Finish (Millvale) 9

3

Flo

1

ra lH

2

Median : 1900

nt

1

8

ea ...

4

7

5

2

Ce

2

7

219

0 ra lH

0

45 15 7 24 33 30 6

18 2 18 0 2 18 6 3 18 3 3 18 9 4 18 5 52 18 5 18 8 6 18 4 7 18 1 7 18 7 8 18 3 9 18 0 9 19 6 0 19 2 0 19 9 1 19 5 2 19 1 28 19 3 19 4 4 19 0 4 19 7 5 19 3 5 19 9 6 19 6 7 19 2 7 19 8 85 19 9 19 1 9 20 7 0 20 4 10

0

91 68 66 86

70 80

53 4 17

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

HVAC Systems (Millvale)

1,095

1,000

nt

1

0

5

Mean : 1908

Ce

Count

594

Count

Year Built (Millvale) 500

Stone

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, Intermap, USGS, EPA, Esri, HERE

ETNA | HVAC SYSTEMS

53

5

7

Masonry FRA...

Stone

Stucco

1

Brick

Concrete Bl...

Frame

Exterior FInish

ETNA | EXTERIOR FINISH

Etna Borough Boundary 1820 - 1900 1901 - 1920 1921 - 1970

Etna Borough Boundary

Etna Borough Boundary

Central Heat with AC

<Null>

Central Heat

Log

Floor Furnace

Brick

Unit Heat

Concrete Block

Other

Frame

None

Masonry FRAME

1971 or later

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, Intermap, USGS, EPA, Esri, HERE

... ac

ea

th

500

Fu

6

0

W all

N

416

rn

H

O

it Un

ea

Count

6

t

er

e

...

N

tb

ut

on

um tP ea

H

H

827

o

or Flo

Exterior Finish (Etna) 19

12

6

1

p

. a..

ct

Fu

Ele

rn

Count

Normal Dist.

5

1

ric

...

2

ea

2

lH

3

1

ra

1

Median : 1920

nt

18 11 5

2

Ce

39

282

0

...

66

500

ea

3

37 43

Mean : 1919

lH

1

47

HVAC Systems (Etna)

975

83

18 3 18 0 3 18 6 4 18 2 4 18 8 5 18 4 6 18 1 6 18 7 7 18 3 7 18 9 8 18 5 9 18 1 9 19 7 0 19 3 0 19 9 1 19 5 2 19 2 2 19 8 3 19 4 4 19 0 4 19 6 5 19 2 5 19 8 6 19 4 7 19 0 7 19 6 8 19 3 8 19 9 9 20 5 0 20 1 0 20 7 13

3

68 61

156161 135 78

ra

2

0

40

4 11 8 14

Year Built (Etna)

nt

Count

100

Ce

206

200

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

Brick

HVAC Systems

Year Built

SHARPSBURG | YEAR BUILT

SHARPSBURG | HVAC SYSTEMS

56

1

Concrete Bl...

Frame

Log

Masonry FRA...

Exterior FInish

2

1

Stone

Stucco

SHARPSBURG | EXTERIOR FINISH

Sharpsburg Borough Boundary Sharpsburg Borough Boundary

<Null>

Sharpsburg Borough Boundary

Log Brick

1820 - 1900

Central Heat with AC

Concrete Block

1901 - 1920

Central Heat

Frame

1921 - 1970

Floor Furnace

1971 or later

Unit Heat

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

Year Built

Stucco

W all

Fu

rn a

c..

.

1

.

t

c.. rn a Fu

W all

ea

er th

H it

O

HVAC Systems

1

Count

768

5

Un

... w

on e

p um

N

. a..

Fu rn or

tP ea

Flo

Exterior Finish (Sharpsburg)

50

2

1

H

Count

2

...

...

ea lH ra Ce nt

ea lH

Normal Dist.

ra

Median : 1900

232

0

Ce nt

92

83

73

19

64

19

54

19

45

19

19

35

5 2 7 6 24 13 10 15 11 1 16 15 6

19

07

45

8

19

97

16

90

19

17

19

88

12

19

78

11

18

69

18

59

18

18

18

50

0

49

9 0 2 13 37 20

3 4

Stone Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

HVAC Systems (Sharpsburg)

779

Mean : 1910

26

181

200

18

Count

Year Built (Sharpsburg)

440

400

Masonry FRAME

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

500 0

257 3

Brick

Concrete Bl...

Frame

41

1

3

Masonry FRA...

Stone

Stucco

Exterior FInish

Triboro Ecodistrict Energy Baseline Study | 19

TRIBORO ECODISTRICT RESIDENTIAL SNAPSHOT Through this study it was found that Millvale, Etna, and Sharpsburg share many similarities in their building stock.

However, there are notable differences that can be seen in the statistics below.

NOTE: The following statistics only include the properties that were analyzed as part of this study. These statistics are associated with the actual properties for which Duquesne Light and Peoples Gas provided utility data.

There may be residential properties that were not included in the data analysis and are therefore not included in the following statistics.

74%

1,613 ft.2

1,028

53 300

814

1,882,402 ft.2

277

1,061 buildings

161 1,160 buildings

69

1,932,411 ft.2

58

1,247 buildings

is the average house size

1,780,528 ft.2

of houses are single family detached houses

65%

of houses are in below average condition

16 454 26 565

6 162

779 570

708

525

207 114 44

Millvale

Etna

Sharpsburg

Single Family Two-Family; Rowhouse; Townhouse Three-Family; Four-Family

dwelling type 20

Millvale

Etna

Number of buildings Area of buildings

Sharpsburg

Millvale

Etna

Very Good, Good Average Fair Poor, Unsound, Very Poor

building condition properties included in this analysis

Sharpsburg

3,468 households in the Triboro Ecodistrict 5,595,341 ft.2 total square footage ~ 87,942 MMBTU of electricity consumption ~ 318,954 MMBTU of natural gas consumption

109 years

is the average house age (in 2022)

16 555

79%

of houses have heat with no central air conditioning

12

28 224

47 274

of houses have a frame exterior

14 51

206 58

45 142

8 41 259

281

920

297

814 765 698

7 49 403

237 941

210

68%

787

753

302 577

374

Millvale 1971 or later 1901 to 1920

building age

Etna

Sharpsburg 1921 to 1970 1900 or earlier

Millvale

Etna

Sharpsburg

Unit Heat Central Heat w/AC Central Heat

Heating & Air Conditioning

Millvale

Etna

Frame Brick Masonry Frame

Sharpsburg

Other

exterior finish Triboro Ecodistrict Energy Baseline Study | 21

MILLVALE RESIDENTIAL SNAPSHOT IN TOTAL

1,160 households 1,780,528 ft.2 total square footage ~ 32,846 MMBTU of electricity consumption ~ 102,108 MMBTU of natural gas consumption THE AVERAGE HOME

1908

average year built

1,535 ft.2 average size

76

average energy use intensity (kBTU/sf)

22

49% of houses are in below average condition

Millvale Borough Boundary VERY GOOD GOOD AVERAGE FAIR POOR VERY POOR UNSOUND Triboro Ecodistrict Energy Baseline Study | 23

ETNA RESIDENTIAL SNAPSHOT IN TOTAL

1,247 households 1,932,411 ft.2 total square footage ~ 29,262 MMBTU of electricity consumption ~ 116,328 MMBTU of natural gas consumption THE AVERAGE HOME

1918

average year built

1,550 ft.2 average size

75

average energy use intensity (kBTU/sf)

24

67% of houses are in below average condition

Etna Borough Boundary GOOD AVERAGE FAIR POOR VERY POOR

Triboro Ecodistrict Energy Baseline Study | 25

SHARPSBURG RESIDENTIAL SNAPSHOT IN TOTAL

1,061 households 1,882,402 ft.2 total square footage ~ 25,834 MMBTU of electricity consumption ~ 100,518 MMBTU of natural gas consumption THE AVERAGE HOME

1910

average year built

1,774 ft.2 average size

67

average energy use intensity (kBTU/sf)

26

Sharpsburg Borough Boundary

84% of houses are in below average condition

VERY GOOD GOOD AVERAGE FAIR POOR VERY POOR UNSOUND

Triboro Ecodistrict Energy Baseline Study | 27

What is the EUI of the

45.2

average home in the northeast United States?

average energy use intensity (kBTU/sf)

What is the EUI of the

72.7

average home in the Triboro Ecodistrict?

average energy use intensity (kBTU/sf)

That is 60% higher than the average northeast U.S. home!

28

MILLVALE

ETNA

SHARPSBURG

76

75

67

average energy use intensity

average energy use intensity

average energy use intensity

(kBTU/sf)

(kBTU/sf)

(kBTU/sf)

2 | UTILITY DATA ANALYSIS INTRODUCTION

The charts on the following pages summarize the Duquesne Light and Peoples Gas utility data analysis performed by the consultant team. The top part of the charts indicate the average energy use per square foot (EUI) for houses that possess the listed building characteristic subcategories, organized by the three communities. Energy use per square foot per year, also known as Energy Use Intensity (EUI) is a useful indicator to compare energy consumption in different buildings because it normalizes energy consumption across buildings of varying sizes. The average EUI for homes located in the northeast United States according to the EIA 2015 Residential Energy Consumption Survey is 45.2 kBTU/sf/yr. The average EUI for homes in the Triboro Ecodistrict is 72.7 kBTU/sf/yr, 60% higher than the average home in the northeast.

UTILITY DATA COLLECTION & ANALYSIS Collection and analysis of actual energy consumption data, analyzed according to the building energy characteristics.

The following pages include charts with average EUI summaries and percent of total residential site energy consumption by building characteristic subcategory and community. This is followed by hypotheses developed by the consultant team and the Triboro Ecodistrict at the onset of the project. The hypotheses are focused on which building characteristic subcategories would consume the most energy per square foot, and would therefore be good candidates for targeted energy conservation improvements. These hypotheses were informed by previous high-level analysis, on-the-ground observations, personal experience, and logical reasoning. This is followed by the data analysis findings that tested the hypothesis, and the resulting consultant recommendations.

While the data analysis was performed with the best available data and methods available to the consultant team at the time, there are limitations.

Home energy consumption is influenced by a variety of factors and is not limited to the six building characteristics analyzed in this study. Additional factors include resident behavior, appliances, payment responsibility for utility bills, number of household members, primary heating fuel, and much more that was not analyzed as part of this study.

What is

EUI?

EUI stands for “Energy Use Intensity”.

It is the energy consumed per square foot, per year (kBTU/sf/yr).

A

A

EUI means...

EUI means...

the home consumes MORE energy than its peers.

the home consumes LESS energy than its peers, and is closer to the Triboro Ecodistrict’s goal of net zero carbon-based energy by 2050.

HIGHER

LOWER

Triboro Ecodistrict Energy Baseline Study | 29

ENERGY USE INTENSITY (EUI) & PERCENT TOTAL SITE ENERGY CONSUMPTION SUMMARY Average EUIs for building characteristic subcategories that exceed the average EUI for the Triboro Ecodistrict by 10% are highlighted in red below and on the following pages. These houses have the biggest opportunity to reduce their annual energy consumption, from an EUI perspective.

P or oor Ve , U ry nso Po u or nd,

r Fa i

Si

ng

le

Fa m

ily R De or ow ta Tw ho ch o- use ed Fa , T Ho m ow us Th ily n h e Fo re Ho o u ur eu s F se e, -F a am m i l y ily o le ss Ho r th us an e 1, 00 1, 0 00 ft. 2 0 -2 ,0 00 gr ft. 2 ea te rt ha n Ve 2, 00 ry 0 Go ft. 2 od ,G Av oo er d ag e

The bottom portion of the charts indicate what percentage of the total residential site energy consumption can be attributed to buildings with the indicated building characteristic subcategories. Percentages for building characteristic subcategories that exceed 50% are highlighted in green. The Triboro Ecodistrict has the most opportunity to reduce community-wide energy consumption by targeting those specific building characteristic subcategories with energy conservation initiatives.

EUI (kBTU/sf/yr)

DWELLING TYPE

SQUARE FOOTAGE

CONDITION

Millvale

84.4

66.8

47.7

117.9

79.0

90.9

75.6

76.0

76.2

76.5

Etna

86.7

39.1

35.4

118.3

82.4

50.8

70.0

85.4

76.0

60.1

Sharpsburg

78.2

54.6

35.1

123.6

75.1

52.2

52.6

81.7

64.3

66.9

% of Total Residential Site Energy Consumption

30

Millvale

71.4%

21.6%

7.0%

11.4%

57.2%

31.4%

2.2%

50.1%

43.8%

3.8%

Etna

86.7%

8.5%

4.8%

10.9%

70.5%

18.7%

1.0%

36.5%

47.1%

15.5%

Sharpsburg

69.9%

25.4%

4.7%

4.8%

63.9%

31.3%

0.4%

17.8%

70.4%

11.4%

Building characteristic subcategories with the biggest opportunity for improvement

(EUI is at least 10% greater than the Triboro Ecodistrict average)

e St nc on re e, te or Bl St oc uc k, co

Fr am ry on as

e M

Ai

SYSTEMS

Fr am

nt

la

Ce

or 71 19

YEAR BUILT

Co

r r C ra on l H di ea tio t w Ce ni ith nt ng ra lH ea t Fl oo rF ur na ce Br ,U ic ni k tH e

te

70 19 to

19

21

to 01 19

19

00

or

ea

19

rli

20

er

at

,o

rO

th

er

Building characteristic subcategories that account for more than 50% of total energy consumption

EXTERIOR FINISH

72.5

78.0

89.4

59.1

78.1

75.7

53.0

76.1

75.1

80.9

70.9

69.8

73.2

83.3

44.9

79.1

7.5

42.5

78.1

75.6

65.3

75.2

64.6

68.8

77.5

63.7

70.2

65.3

80.5

65.9

67.1

74.3

65.4

59.5%

18.7%

19.9%

2.0%

16.4%

82.8%

0.8%

24.6%

69.3%

4.9%

1.1%

31.3%

25.1%

43.0%

0.7%

20.7%

75.9%

3.4%

32.5%

63.3%

3.6%

0.6%

54.7%

29.8%

12.4%

3.2%

21.4%

71.8%

6.8%

23.9%

71.5%

4.0%

0.6%

Triboro Ecodistrict Energy Baseline Study | 31

DWELLING TYPE

Single Family Detached House

Rowhouse, Townhouse, or Two-Family House

Three-Family or Four-Family House

Millvale

84.4

66.8

47.7

Etna

86.7

39.1

35.4

Sharpsburg

78.2

54.6

35.1

EUI (kBTU/sf/yr)

% of Total Residential Site Energy Consumption Millvale

71.4%

21.6%

7.0%

Etna

86.7%

8.5%

4.8%

Sharpsburg

69.9%

25.4%

4.7%

Hypothesis: Single family detached houses will have the highest EUI. Findings: • The EUI for single family detached houses is consistently higher than other dwelling types across the Triboro Ecodistrict. Rowhouses, townhouses, and two-family houses have the second highest EUI, with 3+ family houses having the lowest EUI. •

The majority of houses in the Triboro Ecodistrict are single family detached houses, with Etna containing the highest proportion of single family detached houses.

Recommendations: • Houses that share a wall with another household presumably consume less energy per square foot because heat loss through shared walls is minimized. Encourage density and dwelling types with shared walls for future housing development to minimize heat loss and EUI. •

32

Weatherization programs should focus on tightening up the building envelope for single family detached houses to reduce heat loss. This will make a big impact considering that the majority of houses in the Triboro Ecodistrict are single family detached houses.

SQUARE FOOTAGE

less than 1,000 ft.2

1,000 - 2,000 ft.2

greater than 2,000 ft.2

Millvale

117.9

79.0

90.9

Etna

118.3

82.4

50.8

Sharpsburg

123.6

75.1

52.2

EUI (kBTU/sf/yr)

% of Total Residential Site Energy Consumption Millvale

11.4%

57.2%

31.4%

Etna

10.9%

70.5%

18.7%

Sharpsburg

4.8%

63.9%

31.3%

Hypothesis: Smaller houses will have the highest EUI. Findings: • The EUI for houses under 1,000 ft.2 are consistently higher than larger houses.

•

In Etna and Sharpsburg, medium houses have the second highest EUI and large houses have the lowest EUI. In Millvale, this is reversed, with houses between 1,000 - 2,000 ft.2 having the second highest EUI.

•

The majority of houses in the Triboro Ecodistrict are between 1,000 to 2,000 ft.2, with Etna having the highest proportion of houses in this range.

Recommendations: • Small houses typically have a smaller building envelope, meaning it is less costly to insulate the building envelope compared to a larger house. Weatherization programs should focus on tightening up the building envelope for small houses, especially single family detached houses, where improvements could have a significant impact.

Triboro Ecodistrict Energy Baseline Study | 33

CONDITION

Very Good, Good

Average

Fair

Poor, Unsound, or Very Poor

Millvale

75.6

76.0

76.2

76.5

Etna

70.0

85.4

76.0

60.1

Sharpsburg

52.6

81.7

64.3

66.9

EUI (kBTU/sf/yr)

% of Total Residential Site Energy Consumption Millvale

2.2%

50.1%

43.8%

3.8%

Etna

1.0%

36.5%

47.1%

15.5%

Sharpsburg

0.4%

17.8%

70.4%

11.4%

Hypothesis: Houses in very good and good condition will have the lowest EUI. Findings: • The EUI for houses in Millvale are fairly consistent independent of building condition. This shows that housing condition may not be a significant factor influencing energy consumption in Millvale.

• In Etna and Sharpsburg, houses in average condition have the highest EUI. In Etna, houses in poor, very poor, or unsound condition have the lowest EUI and in Sharpsburg, houses in very good and good condition have the lowest EUI. Similar to Millvale, this shows that housing condition may not be a significant factor influencing energy consumption.

• The majority of the houses in the Triboro Ecodistrict are in average or fair condition, where average EUIs are within a 21 kBTU/sf/yr range.

Recommendations: • Energy conservation and weatherization programs should focus on houses in below average condition, because they make up a significant proportion of total residential site energy consumption (especially in Sharpsburg).

This will not only reduce energy consumption but will improve quality of life for those living in houses whose conditions can be improved.

•

34

Building condition as defined by the Allegheny County Property Assessments may not be an accurate judgment of building envelope condition as related to heat loss. The Triboro Ecodistrict could perform it’s own assessment or develop a checklist to assess building envelope condition, which would be a more accurate categorization.

YEAR BUILT

1900 or earlier

1901 to 1920

1921 to 1970

1971 or later

Millvale

72.5

78.0

89.4

59.1

Etna

69.8

73.2

83.3

44.9

Sharpsburg

64.6

68.8

77.5

63.7

EUI (kBTU/sf/yr)

% of Total Residential Site Energy Consumption Millvale

59.5%

18.7%

19.9%

2.0%

Etna

31.3%

25.1%

43.0%

0.7%

Sharpsburg

54.7%

29.8%

12.4%

3.2%

Hypothesis: Older buildings will have the highest EUI. Findings: •

Houses built between 1921 and 1970 have the highest EUI, and houses built since 1970 have the lowest EUI across the three communities.

•

The majority of houses in the Triboro Ecodistrict were built prior to 1920, with Millvale containing the highest proportion of pre-1920 houses. Etna comes closest to an equal number of houses built prior to and after 1920.

Recommendations: • The findings indicate that a certain dwelling type or construction practice may have been more prevalent prior to 1920, such as dwellings that share a wall, which has contributed to these houses having a lower EUI. Further investigation may provide greater insights.

Energy efficiency initiatives should focus on reducing energy consumption in older homes, especially those built from 1921 to 1970.

•

While they only compose a small proportion of the total energy consumption and number of houses in the Triboro Ecodistrict, houses built since 1970 have likely employed construction practices that have contributed to their lower EUI. Energy efficiency best practices, high insulation levels, density, and dwelling units with shared walls are all recommended for future new construction and significant renovations.

Triboro Ecodistrict Energy Baseline Study | 35

HEATING AND AIR CONDITIONING SYSTEMS

Central Heat with Air Conditioning

Central Heat

Floor Furnace, Unit Heat, or Other

Millvale

78.1

75.7

53.0

Etna

79.1

77.5

42.5

Sharpsburg

70.2

65.3

80.5

EUI (kBTU/sf/yr)

% of Total Residential Site Energy Consumption Millvale

16.4%

82.8%

0.8%

Etna

20.7%

75.9%

3.4%

Sharpsburg

21.4%

71.8%

6.8%

Hypothesis: Homes with central heat and air conditioning will have a higher EUI. Findings: • Houses with central heat and air conditioning have a higher EUI than houses with just central heat, although the increase is minor in Millvale and Etna. The majority of houses in the Triboro Ecodistrict have central heat only.

•

A small number of houses have a floor furnace, unit heat, or other heating system. In Millvale and Etna, those homes had the lowest EUI. Sharpsburg had the greatest number of houses heated by these systems, which had the highest EUI across system types.

Recommendations: • Houses that have central heat but no central air conditioning in southwestern Pennsylvania either use window or standalone air conditioning units, or do not have air conditioning at all. System upgrade programs or incentives could be used to upgrade homes to energy-efficient systems with central heat and air conditioning, that will also improve thermal comfort.

•

36

As a heating-dominated climate, Pittsburgh homes consume more energy with heating than air conditioning over the course of the year, although the energy consumed for air conditioning will continue to increase as the climate changes. Energy conservation programs should focus on improving the efficiency of HVAC systems, improving thermal comfort by ensuring houses are equipped with air conditioning, and improving system filtration to protect from poor outdoor air quality.

EXTERIOR FINISH

Brick

Frame

Masonry Frame

Concrete Block, Stone, or Stucco

Millvale

76.1

75.1

80.9

70.9

Etna

78.1

75.6

65.3

75.2

Sharpsburg

65.9

67.1

74.3

65.4

EUI (kBTU/sf/yr)

% of Total Residential Site Energy Consumption Millvale

24.6%

69.3%

4.9%

1.1%

Etna

32.5%

63.3%

3.6%

0.6%

Sharpsburg

23.9%

71.5%

4.0%

0.6%

Hypothesis: Frame houses will have the lowest EUI. Findings: • There appears to be no pattern with the relationship between house exterior finish and EUI. All average EUIs were within 15 kBTU/sf/yr of one another.

•

The majority of houses in the Triboro Ecodistrict are frame.

Recommendations: • While exterior finish does not necessarily have a significant impact on energy consumption, the consultant team believed it could provide insights into building construction practices.

This does not appear to be the case and further investigation into housing construction practices is recommended.

•

Weatherization initiatives that involve cavity-filled insulation should focus on houses with frame construction, because they will have the most area that can be filled with insulation.

Initiatives that involve exterior rigid insulation should focus on houses with siding that is nearing it’s end of life. Houses with brick finishes are not good candidates for exterior rigid insulation.

Triboro Ecodistrict Energy Baseline Study | 37

EXAMPLE SURVEY _____________________________________________________________________________________

Instructions: Please answer each question on this survey to the best of your knowledge for your home in Sharpsburg. If you do not know the answer or prefer not to answer, please leave the question blank.

o 1 person o 2 – 3 people

o 4 – 5 people o More than 5 people

Q2. How many bedrooms are in your home?

o 1 Bedroom o 2 Bedrooms o 3 Bedrooms

The Sharpsburg Community Library 1212 Main Street, Pittsburgh, PA, 15215 The Sharpsburg Neighborhood Organization 511 S. Main Street, Pittsburgh, PA, 15215

If you would prefer, you can fill out and submit this survey online instead by visiting: https://tinyurl.com/SharpsburgEnergyUse

walls, ceilings, baseboards, or floors

o Built-in floor/wall pipe-less furnace

o I do not have air conditioning o I have central AC o I have 1 window unit or portable AC o No, I do not have laundry machines o Yes, I have laundry machines in my

PART 2. ENERGY USE

Phone: _______________________________________________________________________________

Electric

Fuel oil

Propane

Other

N/A

o o

o o

o o

o o

o o

o o

Air conditioning

Are you interested in learning more about sharing your January 2019 – January 2020 energy bill? A Triboro Ecodistrict organizer will contact you to follow up if you select “Yes”

o No

Water heating

What is the best way to reach you about the raffle result and/or sharing your energy bills?

oEmail

home/apartment unit

Natural gas Heating

Home address in Sharpsburg: ____________________________________________________________

o Letter home

Other

o o

o o

o o

o

o

o

o I have 2 window units or portable ACs

o I have 3+ window units or portable ACs

Q7. Do you have laundry machines in your home? If your home is in an apartment building, please indicate whether you have access to laundry machines in your building or unit.

Q4. What sources of energy do you use in your home?

Email: _______________________________________________________________________________

coke

o Portable electric heaters o Fireplace o Other (write in):

Q6. Do you have air conditioning in your home? If so, please specify the type of equipment you use and the number of units you own:

o Some of the time o Never

I HAVE COMPLETED THE SHARPSBURG ENERGY SURVEY! Name: _______________________________________________________________________________

or kerosene

o Heating stove burning wood, coal, or

radiators or pipes

o 4 Bedrooms o 5+ Bedrooms

o All the time o Most of the time

o Built-in room heater burning gas, oil,

o Built-in electric units installed in

Q3. When it’s cold outside, how often do members of your household find your home to be too drafty? Drafty means you feel cold air coming into the house under the doors, near the windows, or in other places in your home.

Submit your survey by the deadline of July 31, 2020.

o

o Laundry machines are available in my apartment building (Write in number of machines available) ___________

Q8. During the following seasons/times of day, what is the typical temperature in your home?

o o

Summer

Winter

Daytime when people are home: _____

Daytime when people are home: _____

Daytime when no one is home: _____

Daytime when no one is home: _____

Over night: _____

Over night: _____

PAGE 1

This survey is a project of the Triboro Ecodistrict, a coordinated sustainable development initiative across The Boroughs of Millvale, Etna, and Sharpsburg. To learn more, see: https://www.newsunrising.org/project/triboro-ecodistrict/

PAGE 2

_____________________________________________________________________________________

_____________________________________________________________________________________

_____________________________________________________________________________________

Q9. About how old are the following appliances in your home?

Q12. A home energy audit is when a trained professional examines how energy is used in all parts of a home. After examining a home, the energy auditor will provide a list of ways to reduce energy use and save money on energy bills. Has your home ever had a home energy audit, and if so were changes made to your home based on the audit’s results?

Q16. In the last year, how many months did your household keep your home at a temperature you felt was unsafe or unhealthy?

Heating system Not sure Replaced in last 5 years Older than 5 years N/A

Air conditioning system

Water heater

Refrigerator

Stove/oven

o o

o o

o o

o o

o o

o

o

o

o

o

o

o

o

o

o Not sure o No, my home has not had an energy audit

o Yes, my home has had an energy

Incandescent bulbs

Incandescent CFL LED

CFL bulbs All

Most

About half

Some

o o o

o o o

o o o

o o o

o o o

o Tax credit for new appliance or

o Free or subsidized home energy audit o Utility or energy supplier rebate for new

o Home winterizing/weatherization kits

o Recycling of old appliance or equipment

________________________________

appliance equipment

o o o

o I am not interested in energy

equipment

o Almost every month o Some months

o Landlord o Other (write in) _______________

o I purchase green energy through my

o I am part of a solar co-op

o I use other types of renewable energy

energy supplier

(write in) _______________

PART 5. DEMOGRAPHIC QUESTIONS Q23. Do you own or rent your home?

o Own o Rent

o Other (write in):___________________

Q24. For how long have you lived at your current address?

o 1 year or less o 2 – 3 years o 4 – 5 years

o 6 – 10 years o 11 – 14 years o 15 – 19 years

Q25. In what range does your typical annual household income fall?

o Less than $25,000 o $25,000 to $34,999 o $35,000 to $49,999

o $50,000 to $74,999 o $75,000 to $99,999 o $100,000 to

o Always

$149,999

Q26. What is your highest attained level of education?

o High school diploma

o Some college

o Associates degree

o College degree

or equivalent

o Always

o Very interested

_____________________________________________________________________________________

An additional two $50 VISA gift cards will be raffled off among volunteers willing to share their January 2019 – January 2020 energy bills (gas and electric). Sharing energy bills will provide more detailed energy use and expense information for Sharpsburg. Your personal information will not be shared and participating will not affect your eligibility for utility assistance programs now or in the future.

To enter the raffle(s), indicate whether you are interested in sharing your energy bill, and submit your survey, please fill out the bottom portion of this page and return it with your completed survey by dropping it off in person or mailing it to either: The Sharpsburg Community Library 1212 Main Street, Pittsburgh, PA, 15215

Submit your survey by the deadline of July 31, 2020.

If you would prefer, you can fill out and submit this survey online instead by visiting: https://tinyurl.com/SharpsburgEnergyUse

$199,999

I HAVE COMPLETED THE SHARPSBURG ENERGY SURVEY! Name: _______________________________________________________________________________ Email: _______________________________________________________________________________

o Graduate degree o Other (write in) _________

Phone: _______________________________________________________________________________ Home address in Sharpsburg: ____________________________________________________________ Are you interested in learning more about sharing your January 2019 – January 2020 energy bill? A Triboro Ecodistrict organizer will contact you to follow up if you select “Yes”

o Yes

Q27. With what gender do you identify?

Please write in: ________________________ Q28. With what race(s) do you identify?

Please write in: __________________________

THANK YOU FOR YOUR TIME SPENT TAKING THIS SURVEY! If you did not previously provide the following contact information one the first page of this survey, please do so now! Thank you for your interest in the Sharpsburg Energy Use Survey! This survey will help show current energy use and costs in Sharpsburg. With this information, the Triboro Ecodistrict will implement programs to reduce energy use and help you save money on your energy bills. It should take 10 minutes to complete this survey and those who participate will be entered into a raffle to win four $25 VISA gift cards.

The Sharpsburg Neighborhood Organization 511 S. Main Street, Pittsburgh, PA, 15215

o $200,000 or higher

o No

What is the best way to reach you about the raffle result and/or sharing your June 2019 energy bill?

PAGE 6

o Sometimes

o Never

o Sometimes

o Never

Q21. How interested are you in learning about or expanding your use of renewable energy through energy assistance programs, cooperative models, or community projects in Sharpsburg?

o 20+ years

o $150,000 to

in my home for other reasons (write in) _______________________

Q20. How often do you use cold water instead of hot water for tasks such as laundry or washing the dishes?

o 1 or 2 months o Never

Q22. Do you use any of the following renewable energy options? Check all that apply house

in my home for both cost-savings and environmental reasons

Q19. How often do you turn off the lights when a room is not in use?

PAGE 4

o Solar panels have been installed on my

o I am interested in energy conservation

in my home primarily because of environmental concerns

o Grassroots Greenhomes o Other (write in) __________________

PAGE 3

____________________________________________________________________________________________________________________________________________________________

o I am interested in energy conservation

in my home primarily to save money on energy bills

o I am interested in energy conservation

Q15. In the last year, how many months did your household reduce or forgo expenses for basic household necessities, such as medicine or food, in order to pay an energy bill?

Q11. Who is responsible for paying energy bills in your household? Please check all that apply:

conservation in my home

o I am interested in energy conservation

or materials

o Other (write in)

Q14. Has your household worked with any of the following organizations to implement energy efficiency programs for your home?

o No o Duquesne Light o People’s Natural Gas

o No

PART 4. ALTERNATIVE ENERGY AND SUSTAINABILITY Q18. Which of the following statements best describes your interest in energy conservation in your home?

(e. g., a refrigerator)

None

o Some months in the winter o Never

Q17. In the last year, did anyone in your household receive medical attention because your home was either too hot or too cold?

o Yes

o Free or subsidized energy-efficient light bulbs

PART 3. ENERGY COSTS AND ASSISTANCE

o Self o Family members or roommates

audit. Changes WERE NOT made to my house based on the audit’s results

Q13. Has your household received any of the following energy-related benefits or assistance for your home? Please check all that apply.

LED bulbs

Not sure

o Almost every month o Some months in the summer

o Yes, my home has had an energy

audit. Changes WERE made to my house based on the audit’s results

o

Q10. Please indicate what portion of the light bulbs inside your home are of each type:

38

o My home is not heated o Central furnace o Heat pump o Steam or hot water system with

PART 1. YOUR HOME

To enter the raffle(s), indicate whether you are interested in sharing your energy bill, and submit your survey, please fill out the bottom portion of this page and return it with your completed survey by dropping it off in person or mailing it to either:

oPhone call

Q5. What is the main type of heating equipment used to heat your home?

Q1. How many people live in this home on a daily basis?

An additional two $50 VISA gift cards will be raffled off among volunteers willing to share their January 2019 – January 2020 energy bills (gas and electric). Sharing energy bills will provide more detailed energy use and expense information for Sharpsburg. Your personal information will not be shared and participating will not affect your eligibility for utility assistance programs now or in the future.

o Yes

_____________________________________________________________________________________

____________________________________________________________________________________________________________________________________________________________

SHARPSBURG ENERGY USE SURVEY Thank you for your interest in the Sharpsburg Energy Use Survey! This survey will help show current energy use and costs in Sharpsburg. With this information, the Triboro Ecodistrict will implement programs to reduce energy use and help you save money on your energy bills. It should take 10 minutes to complete this survey and those who participate will be entered into a raffle to win four $25 VISA gift cards.

oPhone call

oEmail

o Letter home

o Somewhat interested

o Not interested PAGE 5

3 | RESIDENT SURVEY RESULTS In collaboration with Sarah SanGiovanni, the consultant team and the Triboro Ecodistrict issued an energy use survey in the three communities in the summer of 2020. Response rates varied by community, and in total the survey received 75 responses. The majority of survey respondents own their home (72%), have lived in the community for more than 5 years (59%), identify as female (69%), and are white (98%). The survey respondents represent a range of household incomes and education levels. Key takeaways from the survey can be found below, and the complete survey responses can be found in Appendix E.

RESIDENT SURVEY Resident survey to understand behaviors and perceptions related to residential energy consumption.

SURVEY RESPONDENT DEMOGRAPHICS

Triboro Ecodistrict Energy Baseline Study | 39

Q1. HOW MANY PEOPLE LIVE IN THIS HOME ON A DAILY BASIS?

On average, two people live in each household.

Q3. WHEN IT’S COLD OUTSIDE, HOW OFTEN DO MEMBERS OF YOUR HOUSEHOLD FIND YOUR HOME TO BE TOO DRAFTY?

Almost half of survey respondents feel their homes are too drafty at least “most of the time” when it is cold outside.

40

Q4. WHAT SOURCES OF ENERGY DO YOU USE IN YOUR HOME?

Natural gas is the most prevalent fuel source across the Triboro Ecodistrict, especially for heating and water heating.

Some households do not have air conditioning.

Q22. DO YOU USE ANY OF THE FOLLOWING RENEWABLE ENERGY OPTIONS? CHECK ALL THAT APPLY.

Millvale survey respondents are more likely to purchase green energy compared to Etna and Sharpsburg respondents.

Triboro Ecodistrict Energy Baseline Study | 41

Q10. PLEASE INDICATE WHAT PORTION OF THE LIGHT BULBS INSIDE YOUR HOME ARE OF EACH TYPE:

TRIBORO (ALL) Sharpsburg survey respondents lead in percentage of incandescent and LED bulbs, and Millvale leads in owning the highest percentage of CFL bulbs.

MILLVALE Millvale survey respondents have fairly consistent use across the three lightbulb types, with slightly more CFL use.

ETNA Etna survey respondents use mostly CFL and LED bulbs, but at least half have some incandescent bulbs in their homes.

SHARPSBURG Sharpsburg survey respondents use mostly LED and incandescent bulbs.

They also have the highest percentage of LED use out of the three Boroughs.

42

LEAST EFFICIENT

MOST EFFICIENT Triboro Ecodistrict Energy Baseline Study | 43

Q18. WHICH OF THE FOLLOWING STATEMENTS BEST DESCRIBES YOUR INTEREST IN ENERGY CONSERVATION IN YOUR HOME?

88% of survey respondents are interested in energy conservation to save money on energy bills in addition to environmental concerns.

44

Q15. IN THE LAST YEAR, HOW MANY MONTHS DID YOUR HOUSEHOLD REDUCE OR FORGO EXPENSES FOR BASIC HOUSEHOLD NECESSITIES, SUCH AS MEDICINE OR FOOD, IN ORDER TO PAY AN ENERGY BILL?

Millvale survey respondents are more likely to forgo expenses to pay an energy bill, and for a longer period, than Etna and Sharpsburg respondents.

Q16. IN THE LAST YEAR, HOW MANY MONTHS DID YOUR HOUSEHOLD KEEP YOUR HOME AT A TEMPERATURE YOU FELT WAS UNSAFE OR UNHEALTHY?

Select Sharpsburg survey respondents have found their homes’ temperature to feel unsafe in the summer.

Select Etna respondents have found their homes’ temperature to feel unsafe in the winter.

Select Millvale respondents have found their homes’ temperature to feel unsafe in both summer and winter.

Triboro Ecodistrict Energy Baseline Study | 45

Q8. DURING THE FOLLOWING SEASONS/TIMES OF DAY, WHAT IS THE TYPICAL TEMPERATURE IN YOUR HOME?

On average, Triboro Ecodistrict households increase their thermostats by 2 degrees in the summer when no one is home.

46

Sharpsburg survey respondents keep their home temperatures on average 3 degrees cooler in the summer compared to Millvale and Etna respondents.

Millvale survey respondents are more likely to keep their thermostats at a more uncomfortable temperature during summer nights.

On average, Sharpsburg residents keep their thermostats 2 degrees cooler during summer nights, compared to summer days.

Triboro Ecodistrict Energy Baseline Study | 47

On average, Triboro Ecodistrict households decrease their thermostats by 2 degrees in the winter when no one is home.

48

On average, Millvale survey respondents adjust their thermostats to much lower temperatures when no one is home during the winter months, compared to Etna and Sharpsburg.

On average, Triboro Ecodistrict households decrease their thermostats by 1 degree during winter nights.

Triboro Ecodistrict Energy Baseline Study | 49

RECOMMENDATIONS The results of the resident energy use survey have led to several energy conservation findings and recommendations, including:

50

•

More than half of the survey respondents have reported that their homes feel too drafty at times. The Triboro Ecodistrict has a large proportion of older homes, which tend to have greater air infiltration.

Weatherization programs and incentives can be low cost, and will result in reduced infiltration and heat loss, as well as more comfortable indoor environments. According to Rebuilding Together Pittsburgh, air sealing can reduce air leakage by 50% and on average provides less than a 5 year return on investment.

•

The predominant fuel source in the Triboro Ecodistrict is natural gas.

Guidance and incentives for households that are upgrading their heating, air conditioning, and water heating systems (or their systems are nearing end of life) should encourage a transition to electric systems.

Electric systems can be more efficient, save money, and could be fueled by solar power in the future, in addition to preparing the homeowner for future energy transition. Triboro Ecodistrict residents should work with local organizations to advocate for government rebates and financial assistance to upgrade to more energy efficient systems.

•

A small percentage of survey respondents are currently purchasing green energy through their energy supplier. Lack of information regarding green energy purchase could be a major barrier to participation. A green power purchase campaign and assistance could encourage more households to sign up, especially if there is minimal if any additional cost to participate.

Millvale survey respondents were more likely to purchase green energy than respondents in Sharpsburg and Etna. Existing programs in Millvale, such as inviting representatives from Green Mountain Energy and other companies to public events and hosting energy-themed programs, could increase participation in Etna and Sharpsburg.

•

When discussing how to conserve energy at home, many individuals point to changing their lightbulbs as one of the easiest and most obvious ways to reduce energy consumption. While the true impact of changing your lightbulbs varies depending on the household, it is at the least an intentional demonstration of one’s participation and belief in energy conservation. According to the survey responses, there are still several households that have not made the switch to energy efficient bulbs. A lightbulb giveaway program could be an easy first step for residents to participate in energy conservation, while improving lighting quality and reducing their energy bills. According to Rebuilding Together Pittsburgh, upgrading to LED lightbulbs costs $192 for the average household and can produce average annual savings of $169, which is less than a 1.5 year return on investment.

•

The significant number of survey respondents who indicated that energy conservation is important to them due to environmental concerns as well as cost savings shows that when implementing energy conservation initiatives, it is important that the messaging includes both of these benefits.

•

The fact that select survey respondents indicated that they forgo expenses to pay energy bills and/or have kept their home temperature at an unsafe or unhealthy level demonstrates the cost burden that exists for many households in the Triboro Ecodistrict. Implementing energy conservation initiatives is both an environmental issue and a social equity and health issue.

•

The survey results have shown that on average, Triboro Ecodistrict survey respondents adjust their thermostat depending on the season, time of day, and presence of people at home. Encouraging households to install programmable thermostats could encourage further energy conservation and cost savings. According to Rebuilding Together Pittsburgh, installing a programmable thermostat with setback temperatures costs about $194 on average and can produce $80 in annual energy savings, which is a 2.5 year return on investment.

•

Resident behavior can significantly impact energy consumption. The Triboro Ecodistrict could have energy ambassadors develop and distribute a list of resident behavior recommendations for how to reduce energy consumption, including programming a setback thermostat, changing lightbulbs, unplugging appliances when not in use, etc.

•

Two energy conservation measures that were not addressed in the utility data analysis or resident behavior survey, but are no-cost with significant energy savings are adjusting the water heater temperature and retiring a second refrigerator (if the home has one). These adjustments cost nothing to implement, and according to Rebuilding Together Pittsburgh, can produce annual every cost savings of $32 and $83 respectively.

Triboro Ecodistrict Energy Baseline Study | 51

CONSERVE

1 What if we

air sealed and insulated all of the eligible houses in Sharpsburg?

It would reduce community-wide energy consumption by

37,977 MMBTU

PRODUCE

2 What if we

installed a solar array on the roof of the Etna Center for Community?

It would reduce community-wide energy consumption by

48

MMBTU

RESILIENCE

3 What if we

established a resilience cluster in Millvale?

52

It would reduce community-wide energy consumption by

1,353 MMBTU

SCENARIO MODELING INTRODUCTION The Triboro Energy Baseline Study is intended to inform future 2030 Energy Action Plan and goal creation. More specifically, the findings in this report can help the Triboro Ecodistrict understand how energy conservation, renewable energy production, and resilience efforts will impact specific residential building characteristics, and how community-wide programs and improvements will reduce community carbon-based energy consumption. The Triboro Ecodistrict is currently building on their numerous energy successes and has several initiatives underway. The consultant team has modeled the impact of three scenarios that are currently being investigated in Sharpsburg, Etna, and Millvale that demonstrate the Triboro’s energy hierarchy of conservation, production, and resilience. These scenarios describe the potential energy and cost impacts of three proposed initiatives.

NOTE: The consultant team has stated the assumptions made as part of these calculations and actual performance may vary from these projected numbers.

What if we improved the building envelope?

What if we upgraded the HVAC systems?

What if we installed solar arrays?

What if we installed efficient lightbulbs?

What if our community spaces were transformed into resilience hubs??

What if we insulated our attics and basements?

What if we transitioned to all-electric?

What if we used a programmable thermostat?

Triboro Ecodistrict Energy Baseline Study | 53

1

CONSERVE

WHAT IF WE AIR SEALED AND INSULATED ALL OF THE ELIGIBLE HOUSES IN SHARPSBURG? The Triboro Ecodistrict is currently partnering with Rebuilding Together Pittsburgh to offer free home energy audits and up to $100 in home repairs to households in Sharpsburg, Etna, and Millvale. This initiative will not only help Triboro Ecodistrict residents reduce their greenhouse gas emissions, but will also help them save money on their utility bills. This program is open to both renters (with the landlord’s permission) and homeowners. Households with an income of 50% or less of the area median income will be prioritized for this opportunity.

The program is kicking off its first year of engagement in Sharpsburg.

Rebuilding Together Pittsburgh shared three recommendations that are often suggested as a result of the home energy audits, which provide the greatest return on investment with a moderate cost investment. These recommendations include air sealing, attic insulation, and insulating the rim joists in the basement.

Air sealing stops unwanted air flow between the indoors and outdoors by sealing the small gaps around the house. This can include caulking cracks and openings in the building envelope, such as around window and door frames, cracks in the building foundation, and gaps around vent ducts, air conditioners, plumbing, and wiring, among other areas.

Insulating the attic and rim joists is important because it can prevent air from escaping the house and stop outside air from coming in. This saves energy and makes your house more comfortable. The type of insulation recommended for attics and rim joists may depend on the house, but generally spray foam insulation will be the highest performing option because it can easily fill nooks and crannies, it serves as a moisture barrier, and it provides the highest R-value per inch.

For air sealing and insulation, the ideal candidate houses have: •

No water infiltration or sewer backups (as a result, properties in the floodplain have been excluded from this scenario modeling)

•

A roof that is in good condition (as a result, properties in less than “fair condition” have been excluded from this scenario modeling)

•

No toxic contaminants, such as asbestos insulation, gas leaks, or radon (there have been no exclusions based on this consideration)

•

No dangerous electrical systems, such as knob and tube wiring (there have been no exclusions based on this consideration)

•

Easy access to the attic and basement (as a result, properties described as not having a “full basement” have been excluded from this scenario modeling)

Considering these exclusions, there are 634 houses, equating to 1,083,200 ft.2 of space that would be ideal candidates for air sealing and insulation in Sharpsburg.

According to Rebuilding Together Pittsburgh (RTP), air sealing can reduce air leakage by up to 50%. The average cost of air sealing is $1,591 and the average house can expect an annual energy savings of 30 MMBTU and cost savings of $350. The average cost to install attic insulation is $1,886, resulting in 15.9 MMBTU of annual energy savings and $182 in energy cost savings.

The average cost to insulate the basement rim joists is $817, resulting in 4 MMBTU of annual energy savings and $42 in energy cost savings.

When combined, on average, these improvements cost $4,294 and would result in $574 in energy cost savings annually, as well as 59.9 MMBTU in energy savings. This is a 7.5 year return on investment. If all of the houses in Sharpsburg that are an ideal candidate for these improvements implemented these recommendations, it would result in 37,977 MMBTU in annual community-wide energy savings.

54

There are 634 ideal candidates for air sealing and insulation in Sharpsburg

Triboro Ecodistrict Energy Baseline Study | 55

2

PRODUCE

WHAT IF WE INSTALLED A SOLAR ARRAY ON THE ROOF OF THE ETNA CENTER FOR COMMUNITY? The Etna Community Organization is currently raising funds to establish the Etna Center for Community (ECC) at 341 - 343 Butler Street in Etna, PA. The building will house a public library and will offer resources like access to technology, early childhood educational programming, and activities for seniors and teens. The ECC will also physically demonstrate the values of the Etna Ecodistrict, including a rooftop solar array.

According to the Department of Energy, the average EUI for a library nationwide is 246 kBTU/sf/yr. Since the ECC will only occupy the first floor of the building, which is approximately 2,012 ft.2, this would equate to 494,952 kBTU (495 MMBTU) of energy consumption annually.

EIS Solar has suggested installation of a 12.92 kW ballast roof-mounted PV array on the roof of the building, which is estimated to produce 13,954 kWh annually (47.6 MMBTU). If these estimates are correct, the solar array would produce about 10% of the building’s annual energy consumption (this is a conservative estimate). If the building implements energy conservation measures, this will reduce the building’s annual energy consumption significantly, and the percent of renewable energy produced will compose a greater quantity of the building’s annual energy consumption.

The ECC solar array will provide many other benefits in addition to reducing the community’s carbon-based energy consumption.

Education & Training. The solar array can act as a learning opportunity for the community to understand how solar energy works, and even engage in the installation and maintenance of the system.

Public Health. The Pittsburgh region is known for consistently ranking as one of the most polluted cities in the country. Reducing carbon-based energy consumption directly contributes to reduced air pollution, which will reduce the impacts on community health.

Resilience. The ECC can act as a resilience hub and provide air conditioning, heating, internet, and power during community emergencies when the public electric grid goes down.

Advocacy. Lastly, the solar array helps to normalize the inclusion of solar arrays in our communities, to show what is possible and encourage a broader transition to renewable energy adoption.

56

Etna Community Library 341-343 Butler Street, Etna, PA 15223 Proposed Solar Layout v2 Prepared by Ian Smith 1/15/20

Questions: Contact Ian (814) 490-5492 ian@eissolar.com

12.92 kW Ballast Roof-Mounted PV Array Included: Turn Key Installation by Expert EIS Cre 34 VSUN 380W Bifacial Modules--30-year production warranty Building/Electrical Permits as Require SMA SB Inverters (2) Part 1 & 2 Interconnection Process w/Utili The ECCMonitoring solar array is estimated to produce 13,954 kWh annually Sunny Portal Web-Based Included PV Meter & SREC Registration (You keep your SREC Estimated Year One Output: 13,954 kWh* Electrical Inspection & Walk Throug *based on PV-Watts and aerial image analysis, subject to revision after full site evaluation Service, Installation, and Equipment Warrantie The above image, system design, and estimated energy production was provided by EIS Solar for the Etna Community Organization in 2020.

Triboro Ecodistrict Energy Baseline Study | 57

3

RESILIENCE

WHAT IF WE ESTABLISHED A RESILIENCE CLUSTER IN MILLVALE? New Sun Rising’s Millvale Food and Energy Hub has already installed the foundational infrastructure to become a community resilience hub. The building’s solar DC microgrid system is able to provide uninterrupted communication and coordination out of the building during emergencies when the public electricity grid is down. If there is a flood or other event where the public grid goes down, the Food + Energy Hub is able to continue running cooling and heating systems, refrigeration, lighting, provide internet, and become a shelter for Millvale during emergency communication efforts.

There are many additional opportunities to create resilience hubs throughout the Triboro Ecodistrict, especially in locations where adjacent buildings can connect to the same microgrid, thereby pooling their resources.

The first step is to determine which properties are viable for photovoltaic arrays. This research has already been performed by Brian Wolovich and Noah Bushlow. Their research produced an inventory of properties with at least 5,000 ft.2 of roof space or vacant land of at least 1 acre. Using Project Sunroof, they determined that there is 1,390,630 ft.2 of available area for solar panels in the Triboro Ecodistrict, which could accommodate 25.28 mW worth of photovoltaic systems.

There are three standout properties, one in each of the three communities, that would provide significant unobstructed roof area, and therefore significant renewable energy production potential. These properties are adjacent to other ideal candidates for PV arrays, and if they were to pool their resources, could provide significant impact as community resilience hubs.

Focusing on the standout property in Millvale, 112 Lincoln Avenue, according to PVWatts, if this property installed a 170 kW solar array, it could produce 201,900 kWh of renewable energy annually (688.9 MMBTU).

This property could connect to a microgrid with other adjacent solar candidates to produce a resilience cluster, including: 113 Lincoln Avenue. If this property installed a 32 kW solar array, it could produce 38,005 kWh of renewable energy annually (129.7 MMBTU).

126 Lincoln Avenue. If this property installed a 32 kW solar array, it could produce 38,005 kWh of renewable energy annually (129.7 MMBTU).

123,129 Lincoln Avenue + 124 Grant Avenue. If these properties (who share a roof) installed a 100 kW solar array, it could produce 118,765 kWh of renewable energy annually (405 MMBTU).

Cumulatively, this cluster of buildings could produce 1,353.3 MMBTU of renewable energy annually.

58

126 Lincoln Ave.

112 Lincoln Ave. 123,129 Lincoln Ave. + 124 Grant Ave.

113 Lincoln Ave.

This cluster of buildings could product 1,353.3 MMBTU of renewable energy annually If this cluster of buildings pooled their resources, installed solar arrays, and connected to the same microgrid, it could become a resilience cluster that would serve a similar function as the Millvale Food + Energy Hub, but with greater capacity.

Triboro Ecodistrict Energy Baseline Study | 59

APPENDIX A. Precedent Research B. Hierarchy and Ranking of Characteristics Based on Research C. Energy Analysis Assumptions and Comparison D. Building Characteristic Maps and Analysis E. Resident Survey Questions and Results

A. PRECEDENT RESEARCH Prior to the implementation of the Triboro Energy Baseline Study, Sarah SanGiovanni performed precedent research to understand the methodology pursued by other community energy studies. A summary of this research is provided below. While no single precedent directly informed the methodology of this study, the precedent research provided useful findings that informed aspects of this methodology.

Energy baseline methodology examples Monday, June 17, 2019

3:00 PM

Chart purpose The following chart summarizes information about how each neighborhood energy study and/or methodology document reviewed approached the task of energy baselining for a neighborhood-scale area. It also notes similarities to/differences from the planned methodology for Millvale as well as points to consider/look into for the Millvale plan.

Color key

GREEN

Possibly a good resource to refer to for the Millvale methodology

RED

A source I was not able to access but could be worth looking further into

YELLOW Neutral usefulness; has information but not very detailed or community-scale oriented Neighborhood Energy Baseline Methodology Examples NAME 1. Living Cully Community Energy Plan

2. Metropolitan Area Planning Council: Estimate Energy Use Baseline

PURPOSE Introduction:

ENERGY MEASUREMENT METHODOLOGY ** step-by-step directions made available

A neighborhood-scale energy plan for the Data sources: (Appendix A) • The Energy Trust of Oregon (ETO) provided aggregate energy consumption data by block Cully neighborhood in Portland, OR. Cully is home to a low income-population, many group level (the U.S. Census FIPS code) to protect individual user information. ETO provided cultural groups, and families at risk for energy data for the Cully neighborhood and total aggregate data for the City of Portland displacement. A coalition of community between 2013 and 2017. Both datasets showed the monthly aggregate electricity groups are developing an anti-displacement consumption (kWh) and natural gas consumption (therm). The energy data consists of consumption reports from Portland General Electric, Pacific Power Corporation, Northwest model of neighborhood scale sustainability.

The community energy plan is intended to Natural Gas and Cascade Natural Gas. prevent displacement via increased • The Portland Bureau of Planning and Sustainability gave housing information, which included investment in energy conservation, square footage, number of houses, year built and demographic information with population renewable energy, and community-led pilot count, number of households and median income levels for the Cully neighborhood. projects.

Calculations (Appendix A) • Energy burden: Average monthly electricity bill/average monthly income x 100 • Electricity use per household: Total electricity/total number of households • Electricity use per person for neighborhood/city: total electricity use/total population

SIMILARITIES TO/DIFFERENCES FROM MILLVALE PLAN

IDEAS FOR MILLVALE/THINGS TO CONSIDER FINDING OUT

• Differences: Access to data from the utility via an • Living Cully got energy usage data from the utility companies intermediary energy data group resolved the need to indirectly by working with a regional organization that is able find a cohort of volunteers to share energy data to collect that data from them. Are there any such • Difference: Ground-truthing data. A point of organizations in PA? ( I looked and didn't find anything; I also weakness this group noted about their utility-derived checked the data sharing info on Duquesne Light to see if they data is that it is subject to some inaccuracies because reported sharing to anyone but they do not ) people can opt out of their energy data being made • The billing structure mattered to how Living Cully was able to public by the utility. This group did not ground truth calculate its energy baseline (because they were able to work so they don't know how accurate the utility data they with the utility). The detail that mattered to them (and may used is…this could strengthen case for existing matter for us if we are asking for energy bills from building tenants/owners) was: for multi -family units, is there one bill Millvale plan sent by the utility to the building owner, or are individual bills • Similarity: Through using the utility-derived data, sent to users of the building? This might be important to gathering actual data on the use of energy in specific know when finalizing methodology if it is not yet known. community geographic area • Possible indicators to use based on those used in this community plan • Energy Burden (Pittsburgh has the 6th highest national energy burden in the county) • Energy use per household • Energy use per capita

This document describes the step-by-step **step-by-step directions made available • Difference: They are using statistics to scale • Energy type/Unit of measurement: Are we measuring only methodology used by the Metropolitan Area national-/state-scale data down to the zip code level. electricity, or also gas? If both, should we use a unit that is Planning Council (MAPC) of Massachusetts Units used Their data is all secondary, they did not collect comparable across them like these Mass guidelines model?

• Btus (British thermal units) to compare across gas, electric, oil • This appears to be a regional organization that helps with to estimate local energy use baselines for primary data. residential, commercial, and industrial community-scale planning across the region. I found some sectors before setting goals Method neighborhood/community plans that were conducted by this for/implementing energy conservation • In summary, they used the ACS and other state-level energy data sources to determine how organization with this methodology. This makes me wonder projects. whether Millvale can serve as a testing ground for seeing many buildings there are of each type in the community, and then estimated what the energy how accurate some of the secondary data sources available use/expenditures would be by weighting the national/state averages according to the are for potential use in Etna/Sharpsburg. If the primary data percentage of each type of building present in the community level/state level/country level.

They did this for each sector. collection in Millvale indicates that secondary data sources are fairly reliable, maybe a method like that used by MAPC can be used in other communities modeling their energy baselining off of Millvale?

3. Franklin County This report comprehensively inventories all Energy Study major forms of energy produced and consumed within Franklin County.

Summary of method (Introduction, page 7) • Production data were publicly available at the county level. Electricity and natural gas consumption at the county level were generously supplied by the utilities serving the region.

All other regional energy consumption was estimated from publicly available, state-level energy use intensities across residential, commercial, industrial and transportation sectors.

These data were then downscaled to ZIP Code scale resolution. This approach allowed us to examine energy use on a relatively local scale for the entirety of Franklin County.

• Difference: this is primarily focused on the countylevel, so more data sources were more easily available (including utility data). State-level data was scaled down to the zip-code level but no primary data collection occurred.

**This would not allow me to download/open the files. I think it is a protocol for inventorying GHG emissions at the community level, from sectors like waste, water, etc. It might be worth looking into further for recommendations on community-scale energy use because it seems to be regarded as a standardized practice for GHG emissions

5. Pittsburgh 2030 This document describes the energy District Energy baselining process for the Pittsburgh 2030 baseline district. Four categories of buildings are baselined: 1) existing buildings by type in Downtown; 2) New construction potential energy use; 3) Unique structures/parking structures; 4) District-scale energy use

Living Cully Communi...

http://www.mapc.org/wpcontent/uploads/2017/11/Estimate -Local-Energy-Use-Baseline.pdf

MAPC Mass Estimate l...

http://www.morpc.org/wordpress/ wpcontent/uploads/2018/06/2018Franklin-County-Energy-Study.pdf

Franklin County En...

There is an appendix on page 49 that gives somewhat more detail, but there is no step-by-step process made available 4. ICLEI Community Protocol for GHG emissions inventory

LINK/FILE http://www.livingcully.org/incomin g/2018/05/LC-Community-EnergyPlan-FINAL-6.pdf

http://www.2030districts.org/sites/ default/files/atoms/files/Pittsburgh _2030_District-Energy_Baseline.pdf

Pittsburgh 2030 Dist...

Unit (Pg 1) • Whole building site energy use intensity (EUI), which is a building’s annual energy use divided by its gross square footage (measured in kBTU/ft2/yr).

Building-specific baseline (Pg 1-3) • Estimated national median energy baseline for existing building types in Downtown Pittsburgh based on default building use assumptions (further specified in text) • Recommend using EPA Energy Star Portfolio Manager Tool for measuring specific building performance New build baseline (Pg 3) • Recommend using EPA’s Energy Star Target Finder tool to estimate based on defined characteristics (square footage, hours/day use, etc.)

Unique/parking structures (Pg 4) • They recommend using the EPA technical guidance document (linked in text) which provides national averages/estimates District baseline (Pg 6) • Via their work at the building level, GBA was already actively collecting data via the energy star tool on many buildings in the district area. For the other buildings not already actively monitoring energy use, GBA estimated it: "GBA had accurate square footage information and varying qualities of building use profiles. For the 348 buildings not committed to Pittsburgh 2030 District goals as of October 2013, GBA used public, private, or estimated information on both gross building square footage and use types to estimate property-specific baselines. "

• Similarity: working at the district scale • GBA was already having several buildings monitor their • Difference: 2030 District is smaller so there is less energy use via the energy star tool before trying to assess at need to estimate the use statistically; they can collect the district level. Maybe as part of this methodology, there information on all/most of the buildings in the area should be broad recruitment of people to track their energy use using energy star? But only use the data to calculate either by directly monitoring or calculating energy use in each individual building and aggregating all of representative energy use for those who fit the building this to the district scale. typologies. Potentially it would be useful to start getting people into tracking their energy use via energy star in • Difference: I am not sure that there is an interest in baselining pre-conservation commitment/practices in Etna/Sharpsburg too (although this would perhaps have an the 2030 district in the way that there is in Millvale effect on peoples usage and therefore affect the data; this report indicated that just by tracking their use people tended to reduce their use).

• Use the energy star tool to develop the survey of residents (i.e., collect the same things from residents via a survey that the energy star tool uses) so that we could use the energy star tool/what we collect could be easily compared to the national averages, etc., that this tool provides. This could maybe put less burden on people to track energy use on their own?

http://www.2030districts.org/sites/ default/files/atoms/files/Pittsburgh _2030_District-Energy_Baseline.pdf

• Difference: This is a real-time tool for monitoring vs. a • While the data from the utility might not be available, I plan for baselining. It seems really interesting, cool, wonder if this could be an engaging way to keep people useful, and accessible, but it of course requires not involved in energy efficiency efforts throughout the triboro only web-skilled people to develop the tool and long-term. If data is collected on a regular -enough basis, maintain it but the partnership with the utility to maybe one way to share it can be to put it in Arc Map and provide the data create maps showing energy use by zip code, etc. so people can see within their communities where higher/lower energy uses are and/or how this varies by sector. It would require a frequency of data collection that I am not sure is feasible, but if it is feasible this could potentially be educational and engaging.

http://energymap.cityofchicago.org /

Pittsburgh 2030 Dist...

For all types of baselining, GBA asks participating buildings to continue monitoring their energy use using the energy star tool and reporting it to GBA (Pg 5)

60

6. Chicago Energy Data Portal and Map

Under the Retrofit Chicago Initiative, the city n/a of Chicago, ComEd, and Peoples Natural Gas provide access to energy consumption data by census block and neighborhood for households, businesses, and industries. The public dataset, provided in spreadsheet format and through the Energy Data Map, contains variables describing selected characteristics of the census block including population, physical

*No document

Communi... with the utility). The detail that mattered to them (and may matter for us if we are asking for energy bills from building tenants/owners) was: for multi -family units, is there one bill sent by the utility to the building owner, or are individual bills sent to users of the building? This might be important to know when finalizing methodology if it is not yet known.

Calculations (Appendix A) • Possible indicators to use based on those used in this Monday, June 17, 2019 3:00 PM • Energy burden: Average monthly electricity bill/average monthly income x 100 community plan • Electricity use per household: Total electricity/total number of households • Energy Burden (Pittsburgh has the 6th highest national • Electricity use per person for neighborhood/city: total electricity use/total population energy burden in the county) • Energy use per household Chart purpose • Energy use per capita The following chart summarizes information about how each neighborhood energy study and/or methodology document reviewed approached the task of energy baselining for a neighborhood-scale area. It also notes similarities to/differences from the planned methodology for Millvale as well as points to consider/look into for the Millvale plan.

2. Metropolitan This document describes the step-by-step **step-by-step directions made available • Difference: They are using statistics to scale • Energy type/Unit of measurement: Are we measuring only http://www.mapc.org/wpArea Planning methodology used by the Metropolitan Area national-/state-scale data down to the zip code level. electricity, or also gas? If both, should we use a unit that is content/uploads/2017/11/Estimate Color key Council: Planning Council (MAPC) of Massachusetts Units used Their data is all secondary, they did not collect comparable across them like these Mass guidelines model?

-Local-Energy-Use-Baseline.pdf • Btus (British thermal units) to compare across gas, electric, oil • This appears to be a regional organization that helps with EstimatePossibly ato estimate localtoenergy use for methodology primary data.

GREEN good resource refer to forbaselines the Millvale Energy Use residential, commercial, and industrial community-scale planning across the region. I found some RED A source I was not able to access but could be worth looking further into Baseline sectors before setting goals Method neighborhood/community plans that were conducted by this YELLOW Neutral usefulness; has information but not very detailed or•community-scale for/implementing energy conservation In summary, theyoriented used the ACS and other state-level energy data sources to determine how organization with this methodology. This makes me wonder MAPC Mass projects. whether Millvale can serve as a testing ground for seeing many buildings there are of each type in the community, and then estimated what the energy Estimate l... how accurate some of the secondary data sources available use/expenditures would be by weighting the national/state averages according to the Neighborhood Energy Baseline Methodology Examples are for potential use in Etna/Sharpsburg. If the primary data percentage of each type of building present in the community level/state level/country level.

NAME PURPOSE ENERGY MEASUREMENT METHODOLOGY SIMILARITIES TO/DIFFERENCES FROM MILLVALE PLAN IDEAS FOR MILLVALE/THINGS TO CONSIDER FINDING OUT LINK/FILE They did this for each sector. collection in Millvale indicates that secondary data sources model of neighborhood scale sustainability.

The community energy plan is intended to prevent displacement via increased investment in energy conservation, renewable energy, and community-led pilot projects.

consumption reports from Portland General Electric, Pacific Power Corporation, Northwest Natural Gas and Cascade Natural Gas. • The Portland Bureau of Planning and Sustainability gave housing information, which included square footage, number of houses, year built and demographic information with population count, number of households and median income levels for the Cully neighborhood.

Energy baseline methodology examples

1. Living Cully Community Energy Plan

Introduction:

** step-by-step directions made available

A neighborhood-scale energy plan for the Cully neighborhood in Portland, OR. Cully is 3. Franklin County This report comprehensively inventories all home to a low income-population, many Energy Study major forms of energy produced and cultural groups, and families at risk for consumed within Franklin County. displacement. A coalition of community groups are developing an anti-displacement model of neighborhood scale sustainability.

The community energy plan is intended to prevent displacement via increased investment in energy conservation, renewable energy, and community-led pilot projects.

4. ICLEI Community Protocol for GHG emissions inventory

Data sources: (Appendix A) • The Energy Trust of Oregon (ETO) provided aggregate energy consumption data by block Summary of method (Introduction, page 7) group level (the U.S. Census FIPS code) to protect individual user information. ETO provided • Production data were publicly available at the county level. Electricity and natural gas energy data for the Cully neighborhood and total aggregate data for the City of Portland consumption at the county level were generously supplied by the utilities serving the region. between 2013 and 2017. Both datasets showed the monthly aggregate electricity All other regional energy consumption was estimated from publicly available, state-level consumption (kWh) and natural gas consumption (therm). The energy data consists of energy use intensities across residential, commercial, industrial and transportation sectors. consumption reports from Portland General Electric, Pacific Power Corporation, Northwest These data were then downscaled to ZIP Code scale resolution. This approach allowed us to Natural Gas and Cascade Natural Gas. examine energy use on a relatively local scale for the entirety of Franklin County.

• The Portland Bureau of Planning and Sustainability gave housing information, which included square footage, number of houses, year built and demographic information with population There is an appendix on page 49 that gives somewhat more detail, but there is no step-by-step count, number of households and median income levels for the Cully neighborhood. process made available Calculations (Appendix A) • Energy burden: Average monthly electricity bill/average monthly income x 100 • Electricity use per household: Total electricity/total number of households • Electricity use per person for neighborhood/city: total electricity use/total population

**This would not allow me to download/open the files. I think it is a protocol for inventorying GHG emissions at the community level, from sectors like waste, water, etc. It might be worth looking into further for recommendations on 2. Metropolitan This document describes the because step-by-step **step-by-step directions made available community-scale energy use it Area Planning methodology used by the seems to be regarded as aMetropolitan standardized Area Council: Planningfor Council of Massachusetts Units used practice GHG (MAPC) emissions • Btus (British thermal units) to compare across gas, electric, oil Estimate to estimate local energy use baselines for Energy Use residential, commercial, and industrial 5. Pittsburgh 2030 This document describes the energy Unit (Pg 1) Baseline sectors before setting goals Method District Energy baselining process for the Pittsburgh 2030 • Whole building site energy use intensity (EUI), which is a building’s annual energy use divided for/implementing energy conservation • In summary, they used the ACS and other state-level energy data sources to determine how baseline district. Four categories of buildings are by its gross square footage (measured in kBTU/ft2/yr). projects. many buildings there are of each type in the community, and then estimated what the energy baselined: 1) existing buildings by type in use/expenditures would be by weighting the national/state averages according to the Downtown; 2) New construction potential Building-specific baseline (Pg 1-3) percentage of each type of building present in the community level/state level/country level. energy use; 3) Unique structures/parking • Estimated national median energy baseline for existing building types in Downtown They did this for each sector. structures; 4) District-scale energy use Pittsburgh based on default building use assumptions (further specified in text) • Recommend using EPA Energy Star Portfolio Manager Tool for measuring specific building performance 3. Franklin County This report comprehensively inventories all Energy Study major forms of energy produced and consumed within Franklin County.

Summary method(Pg (Introduction, page 7) New buildof baseline 3) • Production were publicly available at the county Electricity and on natural gas Recommenddata using EPA’s Energy Star Target Finder toollevel. to estimate based defined consumption the county levelhours/day were generously supplied by the utilities serving the region. characteristicsat(square footage, use, etc.)

All other regional energy consumption was estimated from publicly available, state-level energy usestructures intensities(Pg across Unique/parking 4) residential, commercial, industrial and transportation sectors. data were then to ZIP Code scaledocument resolution.(linked This approach allowed us to • These They recommend usingdownscaled the EPA technical guidance in text) which provides examine energy use on a relatively local scale for the entirety of Franklin County. national averages/estimates

so they don't know how accurate the utility data they used is…this could strengthen case for existing Millvale plan • Similarity: Through using the utility-derived data, gathering actual data on the use of energy in specific community geographic area

• Differences: Access to data from the utility via an • Living Cully got energy usage data from the utility companies are fairly reliable, maybe a method like that used by MAPC intermediary energy data group resolved the need to indirectly by in working with a regional organization that is able can be used other communities modeling their energy find a cohort of volunteers to share energy data to collect that data from them. Are there any such baselining off of Millvale?

• Difference: Ground-truthing data. A point of organizations in PA? ( I looked and didn't find anything; I also • Difference: this is primarily focused on the countyweakness this group noted about their utility-derived checked the data sharing info on Duquesne Light to see if they level, so more data sources were more easily data is that it is subject to some inaccuracies because reported sharing to anyone but they do not ) available (including utility data). State-level data was people can opt out of their energy data being made • The billing structure mattered to how Living Cully was able to scaled down to the zip-code level but no primary data public by the utility. This group did not ground truth calculate its energy baseline (because they were able to work collection occurred. so they don't know how accurate the utility data they with the utility). The detail that mattered to them (and may used is…this could strengthen case for existing matter for us if we are asking for energy bills from building tenants/owners) was: for multi -family units, is there one bill Millvale plan sent by the utility to the building owner, or are individual bills • Similarity: Through using the utility-derived data, sent to users of the building? This might be important to gathering actual data on the use of energy in specific know when finalizing methodology if it is not yet known. community geographic area • Possible indicators to use based on those used in this community plan • Energy Burden (Pittsburgh has the 6th highest national energy burden in the county) • Energy use per household • Energy use per capita

• Difference: They are using statistics to scale • Energy type/Unit of measurement: Are we measuring only national-/state-scale data down to the zip code level. electricity, or also gas? If both, should we use a unit that is Their data is all secondary, they did not collect comparable across them like these Mass guidelines model?

• This appears to be a regional organization that helps with primary data. community-scale planning across the region. I found some • Similarity: working at the district scale • GBA was already having several buildings monitor their neighborhood/community plans that were conducted by this • Difference: 2030 District is smaller so there is less energy use via the energy star tool before trying to assess at organization with this methodology. This makes me wonder need to estimate the use statistically; they can collect the district level. Maybe as part of this methodology, there whether Millvale can serve as a testing ground for seeing information on all/most of the buildings in the area should be broad recruitment of people to track their energy how accurate some of the secondary data sources available use using energy star? But only use the data to calculate either by directly monitoring or calculating energy are for potential use in Etna/Sharpsburg. If the primary data use in each individual building and aggregating all of representative energy use for those who fit the building collection in Millvale indicates that secondary data sources this to the district scale. typologies. Potentially it would be useful to start getting are fairly reliable, maybe a method like that used by MAPC people into tracking their energy use via energy star in • Difference: I am not sure that there is an interest in can be used in other communities modeling their energy baselining pre-conservation commitment/practices in Etna/Sharpsburg too (although this would perhaps have an baselining off of Millvale? the 2030 district in the way that there is in Millvale effect on peoples usage and therefore affect the data; this • Difference: this is primarily focused on the countyreport indicated that just by tracking their use people tended level, so more data sources were more easily to reduce their use). available (including utility data). State-level data was • Use the energy star tool to develop the survey of residents scaled down to the zip-code level but no primary data (i.e., collect the same things from residents via a survey that collection occurred. the energy star tool uses) so that we could use the energy star tool/what we collect could be easily compared to the national averages, etc., that this tool provides. This could maybe put less burden on people to track energy use on their own?

There an appendix Districtisbaseline (Pg 6)on page 49 that gives somewhat more detail, but there is no step-by-step process • Viamade theiravailable work at the building level, GBA was already actively collecting data via the energy star tool on many buildings in the district area. For the other buildings not already actively monitoring energy use, GBA estimated it: "GBA had accurate square footage information and **This would not allow me to varying qualities of building use profiles. For the 348 buildings not committed to Pittsburgh download/open the files. I think it is a 2030 District goals as of October 2013, GBA used public, private, or estimated information on protocol for inventorying GHG emissions at both gross building square footage and use types to estimate property-specific baselines. " the community level, from sectors like waste, water, etc. It might be worth looking For all types of baselining, GBA asks participating buildings to continue monitoring their energy use into further for recommendations on using the energy star tool and reporting it to GBA (Pg 5) community-scale energy use because it seems the to be regarded as a standardized Under Retrofit Chicago Initiative, the city n/a • Difference: This is a real-time tool for monitoring vs. a • While the data from the utility might not be available, I 6. Chicago practice for ComEd GHG emissions plan for baselining. It seems really interesting, cool, wonder if this could be an engaging way to keep people Chicago, , and Peoples Energy Data of useful, and accessible, but it of course requires not involved in energy efficiency efforts throughout the triboro Natural Gas provide access to energy Portal and 5. Pittsburgh 2030 This documentdata describes the block energyand Unit (Pg 1) • Similarity: working at thetodistrict scale • GBA was already several only web-skilled people develop the tool and long-term.

If datahaving is collected onbuildings a regularmonitor -enoughtheir basis, consumption by census Map District Energy baselining process for the Pittsburgh 2030 • Whole building site energy use intensity (EUI), which is a building’s annual energy use divided • Difference: 2030 District is smaller there is less energy use via assess maintain it but the partnership withsothe utility to maybe one waythe to energy share itstar cantool be tobefore put it trying in Arc to Map and at neighborhood for households, businesses, baseline district.

Four categories of buildings are by its gross square footage (measured in kBTU/ft2/yr). need to estimate the use statistically; they can collect the district Maybe as part there provide the data create mapslevel. showing energy useofbythis zipmethodology, code, etc. so people and industries. The public dataset, provided baselined: 1) existing buildings by type in information on all/most of the buildings in the area should be broad recruitment of people to track their can see within their communities where higher/lowerenergy energy in spreadsheet format and through the Downtown; 2) New construction potential use using energy star?

But only use the data to calculate Building-specific baseline (Pg 1-3) either by directly monitoring or calculating energy uses are and/or how this varies by sector. It would require a Energy Data Map, contains variables energy use;selected 3) Unique structures/parking use in each individual building and aggregating all of representative energy use forthat those who theisbuilding • Estimated national median energy baseline for existing building types in Downtown frequency of data collection I am notfit sure feasible, but describing characteristics of the structures; 4)including District-scale energy use this to the district scale. typologies.

Potentially would be useful to start getting Pittsburgh based on default building use assumptions (further specified in text) if it is feasible this couldit potentially be educational and census block population, physical people into tracking their energy use via energy star in • Recommend using EPA Energy Star Portfolio Manager Tool for measuring specific building • Difference: I am not sure that there is an interest in engaging. housing, and occupancy. This tool can performance baselining pre-conservation commitment/practices in Etna/Sharpsburg too (although this would perhaps have an automatically upload whole-building energy the 2030 district in the way that there is in Millvale effect on peoples usage and therefore affect the data; this data into ENERGY STAR’s Portfolio Manager New build baseline (Pg 3) report indicated that just by tracking their use people tended and was used as the basis for the city's • Recommend using EPA’s Energy Star Target Finder tool to estimate based on defined to reduce their use). neighborhood energy conservation characteristics (square footage, hours/day use, etc.)

• Use the energy star tool to develop the survey of residents challenge. (i.e., collect the same things from residents via a survey that 7. Energy Positive This is a book documenting neighborhood Chapter 2, Page 38-40, Baseline Assessment Process: • This is not detailed on how to obtain or measure Unique/parking structures (Pg 4) the energy star tool uses) so that we could use the energy • "Although a number of methodologies have been established for defining the energy baseline energy data, but validates the lack of an established Neighborhoods energy efficiency/reduction strategies: • They recommend using the EPA technical guidance document (linked in text) which provides star tool/what we collect could be easily compared to the and Smart of single buildings, no such method exists for establishing the energy baseline of known methodology for energy baselining at the national averages, etc., that this tool provides. This could national averages/estimates Monti, A., Pesch, D., Ellis, K., & Mancarella, Energy neighborhoods." neighborhood level and is also suggesting many maybe put less burden on people to track energy use on their Districts: similar things to what is in the Millvale method: using P. (2016). "Energy Positive Neighborhoods District baseline (Pg 6) own?

Methods, a timeline of 1 year, for example. and Smart Energy Districts: Methods, Tools, Generic assessment strategy described in the book: • Via their work at the building level, GBA was already actively collecting data via the energy star Tools, and 1. Define the scope: it is within this scope that the baseline will be defined and the energy and Experiences from the Field." Academic tool on many buildings in the district area. For the other buildings not already actively Experiences Press. project with be analyzed. monitoring energy use, GBA estimated it: "GBA had accurate square footage information and from the Field 2. Identify baseline and reporting period varying qualities of building use profiles. For the 348 buildings not committed to Pittsburgh a. Study period for the baseline definition (should be a full year to account for weather 2030 District goals as of October 2013, GBA used public, private, or estimated information on variation) both gross building square footage and use types to estimate property-specific baselines. " b. Study period after the implementation of the energy project (begin at start of project and continue until the end of the project) For all types of baselining, GBA asks participating buildings to continue monitoring their energy use 3. Identify and develop a plan for measuring variables using the energy star tool and reporting it to GBA (Pg 5) i. Routine adjustments: things that are expected to change regularly during the reporting Under the Retrofit Chicago Initiative, the city n/a • Difference: This is a real-time tool for monitoring vs. a • While the data from the utility might not be available, I 6. Chicago plan for baselining. It seems really interesting, cool, wonder if this could be an engaging way to keep people Energy Data of Chicago, ComEd, and Peoples useful, and accessible, but it of course requires not involved in energy efficiency efforts throughout the triboro Natural Gas provide access to energy Portal and only web-skilled people to develop the tool and long-term. If data is collected on a regular -enough basis, consumption data by census block and Map Millvale Page 1 maintain it but the partnership with the utility to maybe one way to share it can be to put it in Arc Map and neighborhood for households, businesses, provide the data create maps showing energy use by zip code, etc. so people and industries. The public dataset, provided can see within their communities where higher/lower energy in spreadsheet format and through the uses are and/or how this varies by sector. It would require a Energy Data Map, contains variables frequency of data collection that I am not sure is feasible, but describing selected characteristics of the if it is feasible this could potentially be educational and census block including population, physical engaging. housing, and occupancy. This tool can automatically upload whole-building energy data into ENERGY STAR’s Portfolio Manager and was used as the basis for the city's neighborhood energy conservation challenge.

4. ICLEI Community Protocol for GHG emissions inventory

http://www.livingcully.org/incomin g/2018/05/LC-Community-EnergyPlan-FINAL-6.pdf

http://www.morpc.org/wordpress/ wpcontent/uploads/2018/06/2018Franklin-County-Energy-Study.pdf Living Cully

Communi...

Franklin County En... http://www.2030districts.org/sites/ default/files/atoms/files/Pittsburgh _2030_District-Energy_Baseline.pdf

http://www.mapc.org/wpcontent/uploads/2017/11/Estimate Pittsburgh -Local-Energy-Use-Baseline.pdf 2030 Dist... http://www.2030districts.org/sites/ default/files/atoms/files/Pittsburgh _2030_District-Energy_Baseline.pdf MAPC Mass Estimate l...

Pittsburgh 2030 Dist... http://www.morpc.org/wordpress/ wpcontent/uploads/2018/06/2018Franklin-County-Energy-Study.pdf

Franklin County En... http://www.2030districts.org/sites/ default/files/atoms/files/Pittsburgh _2030_District-Energy_Baseline.pdf

Pittsburgh http://energymap.cityofchicago.org 2030 Dist... / http://www.2030districts.org/sites/ *No document default/files/atoms/files/Pittsburgh _2030_District-Energy_Baseline.pdf

Pittsburgh 2030 Dist...

Publisher: https://www.elsevier.com/books/e nergy-positive-neighborhoods-andsmart-energydistricts/monti/978-0-12-809951-3 Google books: https://books.google.com/books? id=KHm0CwAAQBAJ&pg=PA259 &lpg=PA259 &dq=neighborhood+scale+energy+ baselining+methodology&source=bl &ots=wOAVcuUWZ_&sig=ACfU3U0 eF3_KbqL_Qb0IJyR8g__V1gJBA&hl=en&sa=X&ved= http://energymap.cityofchicago.org / *No document

7. Energy Positive This is a book documenting neighborhood Chapter 2, Page 38-40, Baseline Assessment Process: • This is not detailed on how to obtain or measure Publisher: • "Although a number of methodologies have been established for defining the energy baseline energy data, but validates the lack of an established Neighborhoods energy efficiency/reduction strategies: https://www.elsevier.com/books/e and Smart of single buildings, no such method exists for establishing the energy baseline of known methodology for energy baselining at the nergy-positive-neighborhoods-andMonday, June 17, 2019 3:00 PM Monti, A., Pesch, D., Ellis, K., & Mancarella, Energy neighborhoods." neighborhood level and is also suggesting many smart-energyDistricts: similar things to what is in the Millvale method: using districts/monti/978-0-12-809951-3 P. (2016). "Energy Positive Neighborhoods Methods, a timeline of 1 year, for example. and Smart Energy Districts: Methods, Tools, Generic assessment strategy described in the book: Chart purpose Tools, and 1.

Define the scope: it is within this scope that the baseline will be defined and the energy and Experiences from the Field."

Academic The following chart summarizes information about how each neighborhood energy study and/or methodology document reviewed approached the task of energy baselining for a neighborhood-scale area. It also notes similarities to/differences from the planned methodology for Millvale asGoogle well asbooks: points to consider/look into Press. project with be analyzed. https://books.google.com/books? forExperiences the Millvale plan. from the Field 2. Identify baseline and reporting period id=KHm0CwAAQBAJ&pg=PA259 a. Study period for the baseline definition (should be a full year to account for weather &lpg=PA259 Color key &dq=neighborhood+scale+energy+ variation) GREEN Possibly a good resource to refer to for the Millvale methodologyb. Study period after the implementation of the energy project (begin at start of project baselining+methodology&source=bl &ots=wOAVcuUWZ_&sig=ACfU3U0 RED A source I was not able to access but could be worth looking furtherand intocontinue until the end of the project) 3. Identify and develop a plan for measuring variables eF3_KbqL_Qb0IJyR8g__V1gYELLOW Neutral usefulness; has information but not very detailed or community-scale oriented JBA&hl=en&sa=X&ved= i. Routine adjustments: things that are expected to change regularly during the reporting

Energy baseline methodology examples

Neighborhood Energy Baseline Methodology Examples NAME 1. Living Cully Community Energy Plan

2. Metropolitan Area Planning Council: Estimate Energy Use Baseline

PURPOSE Introduction:

Millvale Page 1

ENERGY MEASUREMENT METHODOLOGY ** step-by-step directions made available

A neighborhood-scale energy plan for the Data sources: (Appendix A) • The Energy Trust of Oregon (ETO) provided aggregate energy consumption data by block Cully neighborhood in Portland, OR. Cully is home to a low income-population, many group level (the U.S. Census FIPS code) to protect individual user information. ETO provided cultural groups, and families at risk for energy data for the Cully neighborhood and total aggregate data for the City of Portland displacement. A coalition of community between 2013 and 2017. Both datasets showed the monthly aggregate electricity groups are developing an anti-displacement consumption (kWh) and natural gas consumption (therm). The energy data consists of consumption reports from Portland General Electric, Pacific Power Corporation, Northwest model of neighborhood scale sustainability.

The community energy plan is intended to Natural Gas and Cascade Natural Gas. prevent displacement via increased • The Portland Bureau of Planning and Sustainability gave housing information, which included investment in energy conservation, square footage, number of houses, year built and demographic information with population renewable energy, and community-led pilot count, number of households and median income levels for the Cully neighborhood. projects.

Calculations (Appendix A) • Energy burden: Average monthly electricity bill/average monthly income x 100 • Electricity use per household: Total electricity/total number of households • Electricity use per person for neighborhood/city: total electricity use/total population

SIMILARITIES TO/DIFFERENCES FROM MILLVALE PLAN

IDEAS FOR MILLVALE/THINGS TO CONSIDER FINDING OUT

• Differences: Access to data from the utility via an • Living Cully got energy usage data from the utility companies intermediary energy data group resolved the need to indirectly by working with a regional organization that is able find a cohort of volunteers to share energy data to collect that data from them. Are there any such • Difference: Ground-truthing data. A point of organizations in PA? ( I looked and didn't find anything; I also weakness this group noted about their utility-derived checked the data sharing info on Duquesne Light to see if they data is that it is subject to some inaccuracies because reported sharing to anyone but they do not ) people can opt out of their energy data being made • The billing structure mattered to how Living Cully was able to public by the utility. This group did not ground truth calculate its energy baseline (because they were able to work so they don't know how accurate the utility data they with the utility). The detail that mattered to them (and may used is…this could strengthen case for existing matter for us if we are asking for energy bills from building tenants/owners) was: for multi -family units, is there one bill Millvale plan sent by the utility to the building owner, or are individual bills • Similarity: Through using the utility-derived data, sent to users of the building? This might be important to gathering actual data on the use of energy in specific know when finalizing methodology if it is not yet known. community geographic area • Possible indicators to use based on those used in this community plan • Energy Burden (Pittsburgh has the 6th highest national energy burden in the county) • Energy use per household • Energy use per capita

This document describes the step-by-step **step-by-step directions made available • Difference: They are using statistics to scale • Energy type/Unit of measurement: Are we measuring only methodology used by the Metropolitan Area national-/state-scale data down to the zip code level. electricity, or also gas? If both, should we use a unit that is Planning Council (MAPC) of Massachusetts Units used Their data is all secondary, they did not collect comparable across them like these Mass guidelines model?

• Btus (British thermal units) to compare across gas, electric, oil • This appears to be a regional organization that helps with to estimate local energy use baselines for primary data. residential, commercial, and industrial community-scale planning across the region. I found some sectors before setting goals Method neighborhood/community plans that were conducted by this for/implementing energy conservation • In summary, they used the ACS and other state-level energy data sources to determine how organization with this methodology. This makes me wonder projects. whether Millvale can serve as a testing ground for seeing many buildings there are of each type in the community, and then estimated what the energy how accurate some of the secondary data sources available use/expenditures would be by weighting the national/state averages according to the are for potential use in Etna/Sharpsburg. If the primary data percentage of each type of building present in the community level/state level/country level.

They did this for each sector. collection in Millvale indicates that secondary data sources are fairly reliable, maybe a method like that used by MAPC can be used in other communities modeling their energy baselining off of Millvale?

LINK/FILE http://www.livingcully.org/incomin g/2018/05/LC-Community-EnergyPlan-FINAL-6.pdf

Living Cully Communi...

http://www.mapc.org/wpcontent/uploads/2017/11/Estimate -Local-Energy-Use-Baseline.pdf

MAPC Mass Estimate l...

Triboro Ecodistrict Energy Baseline Study | 61

3. Franklin County This report comprehensively inventories all Energy Study major forms of energy produced and consumed within Franklin County.

Summary of method (Introduction, page 7) • Production data were publicly available at the county level. Electricity and natural gas consumption at the county level were generously supplied by the utilities serving the region.

All other regional energy consumption was estimated from publicly available, state-level energy use intensities across residential, commercial, industrial and transportation sectors.

These data were then downscaled to ZIP Code scale resolution. This approach allowed us to examine energy use on a relatively local scale for the entirety of Franklin County.

• Difference: this is primarily focused on the countylevel, so more data sources were more easily available (including utility data). State-level data was scaled down to the zip-code level but no primary data collection occurred.

http://www.morpc.org/wordpress/ wpcontent/uploads/2018/06/2018Franklin-County-Energy-Study.pdf

B. HIERARCHY AND RANKING OF CHARACTERISTICS BASED ON RESEARCH The consultant team performed research on building characteristics and their impact on energy consumption. This research was summarized and building characteristics were ranked based on impact on energy consumption, characteristics that can be changed, and characteristics that can be analyzed based on publicly available data. This research informed the refinement of six building characteristics that formed the basis of the utility data collection and analysis.

TABLE OF PHYSICAL CHARACTERISTICS Characteris tic

Hypothesis

Referenced Info

Rank of Impact/Imp ortance on energy consumpti on

Can we map this?

Can the utility pull data for this characteris tic?

Can we change this?

Is it expensive to change?

Is it easy to do?

Energy source

Electric homes consume less energy than natural gas.

Natural gas (38%) provides heat to more Pennsylvania homes than any other fuel, but electricity (29%), fuel oil (20%), and propane (9%) are also widely used in the state.

1

No

Yes

Difficult

Type of dwelling (multi-family, attached, detached, etc.)

Homes with shared surfaces (attached and multi-family) will consume less total energy and energy psf than detached homes.

Small dwellings with shared surfaces are inherently more energy-efficient than small detached homes.

3

Yes (may need to run Grasshopper to determine this)

No

N/A

Size of house (sf of conditioned space)

Bigger homes consume more total energy, but less energy per square foot than smaller homes.

Size of the home has a greater impact on conditioning the space than the number of occupants.

2

Yes (stories x building footprint)

No

N/A

Condition

The better the condition the home is in, the less total energy and energy psf it will consume.

Building condition can be related to infiltration.

4

Yes

Yes

Varies

Year built

The older the home is, the more energy it will consume.

Year built can be related to infiltration. Year built can also be related to building condition.

5

Yes

No

N/A

HVAC

Homes with

Heating

6

Yes

Yes

Medium - cost

62

detached homes.

homes.

Size of house (sf of conditioned space)

Bigger homes consume more total energy, but less energy per square foot than smaller homes.

Size of the home has a greater impact on conditioning the space than the number of occupants.

2

Yes (stories x building footprint)

No

N/A

Condition

The better the condition the home is in, the less total energy and energy psf it will consume.

Building condition can be related to infiltration.

4

Yes

Yes

Varies

Year built

The older the home is, the more energy it will consume.

Year built can be related to infiltration. Year built can also be related to building condition.

5

Yes

No

N/A

HVAC Equipment (heating over AC)

Homes with central heating and cooling will consume more energy than homes with no AC and/or a different type of heating system.

Heating accounts for 50% of energy consumption.

AC accounts for 3%.

6

Yes

Yes

Medium - cost effective to retrofit/replace, but expensive.

Renovation

The more recently a home was renovated, the less energy it consumes.

Home renovations likely have a tie to homes than have recently been purchased.

7

Depends on Boro data

Yes

Varies

Envelope (+ insulation and infiltration)

The higher R-value that the walls, roofs, doors, and windows have, the less energy the home will consume.

R-value is directly related to heat loss in buildings.

8

No. Will use exterior finish instead.

Yes

Medium - cost effective to retrofit/replace.

Varying cost to do this.

Lighting

Homes that use LEDs and have fewer lights consume less energy.

Lighting retrofits represent the best ROI.

9

No

Yes

Easy - greater payback than cost.

Water heater

Homes with new and more efficient water heaters consume less energy than less efficient systems.

16.9% of energy use is attributed to water heating in homes in very cold/cold climates.

Changes in water heating represents the potential to reduce residential energy consumption by 9.8%.

10

No

Yes

Medium greater payback than cost.

Plug loads and appliances

Homes with fewer and more efficient appliances consume less energy.

Plug loads can relate to number of occupants.

Appliances can relate to recent home sales and tenure.

11

No

Yes

Easy - greater payback than cost.

Number of occupants

The more home occupants, the more energy the building will consume.

Number of occupants can be related to the number of bedrooms.

Number of bedrooms + 1 often equals number of occupants.

12

No

No

N/A

Triboro Ecodistrict Energy Baseline Study | 63

Plug loads and appliances

Homes with fewer and more efficient appliances consume less energy.

Plug loads can relate to number of occupants.

Appliances can relate to recent home sales and tenure.

11

No

Yes

Easy - greater payback than cost.

Number of occupants

The more home occupants, the more energy the building will consume.

Number of occupants can be related to the number of bedrooms.

Number of bedrooms + 1 often equals number of occupants.

Number of occupants can impact plug loads, lighting, electronics, etc.

12

No

No

N/A

Floodplain

???

Homes in the floodplain may not be sold as often. However, homes in the floodplain may have been recently renovated.

13

Yes

No

N/A

Also consider: swimming pools, EV charging, PV panels, home energy assistance

TABLE OF SOFT CHARACTERISTICS

64

Characteris tic

Hypothesis

Referenced Info

Rank of Impact/Imp ortance on energy consumpti on

Can we map this?

Can the utility pull data for this characteris tic?

Can we change this?

Is it expensive to change?

Is it easy to do?

Owner vs. renter occupied

Homeowners consume less energy than renters.

Homeowners pay their energy bills directly and are therefore more directly interested and able to control their home’s energy consumption.

1

Depends on Boro data

No

N/A

Energy conservatio n behavior

Those who engage in energy conservation behavior consume less energy.

Residents may conserve energy to save money and/or due to a belief in sustainability.

2

No

Yes

Easy

Sustainabilit y beliefs

Those who believe in climate change and sustainability consume less energy than

Believing in sustainability and climate change can be linked to energy conservation behavior.

3

No

Yes

Varies

Energy conservatio n behavior

Those who engage in energy conservation behavior consume less energy.

Residents may conserve energy to save money and/or due to a belief in sustainability.

2

No

Yes

Easy

Sustainabilit y beliefs

Those who believe in climate change and sustainability consume less energy than those who do not.

Believing in sustainability and climate change can be linked to energy conservation behavior.

3

No

Yes

Varies

Sale date

The more recently the house was sold, the less energy it consumes.

Homes that were sold more recently have a higher likelihood of being renovated.

4

Yes.

No

N/A

Tenure

The longer the resident tenure, the less energy the home consumes.

Tenure often correlates with heating system, condition, and owner occupied homes.

5

Yes. It is directly related to sale date.

No

N/A

Household income

?

Lower income homes may consume less to save energy.

?

No

No

N/A

Education level

?

Lower education level may indicate less knowledge of energy conservation behavior.

However, lower income homes may also indicate a need to save energy, resulting in more energy conservation behavior.

?

No

No

N/A

TYPOLOGIES (physical characteristics) #

Characteristics included

High/low energy consumption ranking (hypothesis)

Triboro Ecodistrict Energy Baseline Study | 65

NOTES

C. ENERGY ANALYSIS ASSUMPTIONS AND COMPARISON While the Triboro Energy Baseline Study was performed with the best available data and methods available to the consultant team at the time, there are limitations to this study. The consultant team compared the residential data collection results to the energy analysis performed as part of the ICLEI Climate Action Plan efforts conducted by Penn State University Students and noticed varying discrepancies in residential energy consumption between the two efforts. This is likely due to differing “data cleaning” methods between the two efforts.

The following assumptions were made as part of the energy use analysis: • Properties listed with 0 square footage in area, “N/A” listed for energy consumption, and dwelling types of 5 housing units or more were excluded from this analysis.

•

This process eliminated 32 properties in Millvale, 25 properties in Sharpsburg, and 13 properties in Etna.

•

In the Allegheny Property Assessments, CDUDESC was used for building condition and “Finished Living Area” was used for gross square footage.

•

The ACS Housing Summary (2017) was referenced to determine how many properties are all-electric with no natural gas use. The difference in total number of all-electric properties analyzed as part of this study compared to the ACS estimate is 91 properties in Sharpsburg, 121 in Etna, and 102 properties in Millvale.

TRIBORO ECODISTRICT ICLEI GHG EMISSIONS INVENTORY (2017) Millvale

Etna

Sharpsburg

Electricity 40,412 MMBTUs

Electricity 39,617 MMBTUs

Electricity 36,454 MMBTUs

Natural Gas 133,386 MMBTUs

Natural Gas 135,227 MMBTUs

Natural Gas 131,185 MMBTUs

Total 173,798 MMBTUs

Total 174,44 MMBTUs

Total 167,639 MMBTUs

TRIBORO ENERGY BASELINE STUDY (2017)

66

Millvale

Etna

Sharpsburg

Electricity 32,846 MMBTUs

Electricity 29,262 MMBTUs

Electricity 25,834 MMBTUs

Natural Gas 102,108 MMBTUs

Natural Gas 116,328 MMBTUs

Natural Gas 100,518 MMBTUs

Total 134,954 MMBTUs

Total 145,590 MMBTUs

Total 126,352 MMBTUs

D. BUILDING CHARACTERISTIC MAPS AND ANALYSIS & E. RESIDENT SURVEY QUESTIONS AND RESULTS ON THE FOLLOWING PAGES

Triboro Ecodistrict Energy Baseline Study | 67

Millvale Borough Boundary VERY GOOD GOOD AVERAGE FAIR POOR VERY POOR UNSOUND Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

Building Condition (Millvale) 617

Count

600

617

400 200 0

1

24

VERY GOOD

GOOD

61

AVERAGE

FAIR

Building Condition

POOR

10

2

VERY POOR

UNSOUND

Millvale Borough Boundary SINGLE FAMILY ROWHOUSE TOWNHOUSE TWO FAMILY THREE FAMILY FOUR FAMILY Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

Dwelling Type (Millvale) Count

955

500 0

20

FOUR FAMILY

172

ROWHOUSE

SINGLE FAMI...

35

16

THREE FAMIL...

TOWNHOUSE

Type

134

TWO FAMILY

Millvale Borough Boundary <Null> Log Brick Concrete Block Frame Masonry FRAME Stone Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

Exterior Finish (Millvale) Count

953

500 0

313 1

Brick

Concrete Bl...

Frame

53

5

7

Masonry FRA...

Stone

Stucco

Exterior FInish

Millvale Borough Boundary Central Heat with AC Central Heat Floor Furnace Unit Heat Other None <Null>

3

HVAC Systems

9

4

Un it H ea t

2

O th er

Ce nt ra lH ea ...

0

N on e

219

Fl oo rF ur na ...

1,000

HVAC Systems (Millvale)

1,095

Ce nt ra lH ea ...

Count

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

432 - 1508 sf 1509 - 2499 sf 2500 - 5328 sf Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

Square Footage (Millvale) 100 9

37

67

182194 160 142 121 100

72

51 50

25 26

5 12 13 3 3 5 0 4

Mean : 1,568.14485 0

3 3 0 0 2 1 1

75 8.

4 1, 08 4.

8 1, 41 1.

2 1, 73 7.

6 2, 06 4 2, 39 0.

4 2, 71 6.

8 3, 04 3.

2 3, 36 9.

6 3, 69 6 4, 02 2.

4 4, 34 8.

8 4, 67 5.

2 5, 00 1.

6 5, 32 8

0 43 2

Count

200

Building Square Footage

Median : 1,450 Normal Dist.

Millvale Borough Boundary 1820 - 1900 1901 - 1920 1921 - 1970 1971 or later

County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, Intermap, USGS, EPA, Esri, HERE

Year Built (Millvale) 500 Mean : 1908 0

1

0

0

2

4

1

5

53 4 17

70 80

91 68 66 86

45 15 7 24 33 30 6

2

7

5

7

8

1

18 2 18 0 2 18 6 3 18 3 39 18 4 18 5 5 18 2 5 18 8 6 18 4 71 18 7 18 7 8 18 3 9 18 0 9 19 6 0 19 2 09 19 1 19 5 2 19 1 28 19 3 19 4 4 19 0 4 19 7 5 19 3 5 19 9 6 19 6 7 19 2 78 19 8 19 5 9 19 1 9 20 7 0 20 4 10

Count

594

Year Built

Median : 1900 Normal Dist.

Etna Borough Boundary VERY GOOD GOOD AVERAGE FAIR POOR VERY POOR

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

Building Condition (Etna)

590

Count

482

400 200 0

149 52

GOOD

36

AVERAGE

FAIR

Building Condition

POOR

VERY POOR

Etna Borough Boundary SINGLE FAMILY ROWHOUSE TOWNHOUSE TWO FAMILY THREE FAMILY FOUR FAMILY

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

Dwelling Type (Etna) 1,106

Count

1,000 500 0

18

22

FOUR FAMILY

ROWHOUSE

SINGLE FAMI...

25

7

THREE FAMIL...

TOWNHOUSE

Dwelling Type

130

TWO FAMILY

Etna Borough Boundary <Null> Log Brick Concrete Block Frame Masonry FRAME

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

Exterior Finish (Etna) Count

827

500

0

416

6

Brick

Concrete Bl...

56

1

Frame

Log

Masonry FRA...

Exterior FInish

2

1

Stone

Stucco

Etna Borough Boundary Central Heat with AC Central Heat Floor Furnace Unit Heat Other None

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

HVAC Systems (Etna) 19

6

W al lF ur na c.. .

N on e

H ea tb ut ...

HVAC Systems

12

Un it H ea t

6

1

O th er

5

1

N o

2

H ea tP um p

0

Fl oo rF ur na ...

282

El ec tri c

500

Ce nt ra lH ea ...

Ce nt ra lH ea ...

Count

975

Etna Borough Boundary 432 - 1434 1435 - 2268 2269 - 5249 County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, Intermap, USGS, EPA, Esri, HERE

200

0

19 29

76

272 228 215 181 154 122102

56 38 39

23 16 6 8 6 2 4

Mean : 1,517.39652 0 5 0 5 1 0 0 0 0 2

75 3.

1 1, 07 4.

3 1, 39 5.

4 1, 71 6.

5 2, 03 7.

7 2, 35 8.

8 2, 67 9.

9 3, 00 1.

1 3, 32 2.

2 3, 64 3.

3 3, 96 4.

5 4, 28 5.

6 4, 60 6.

7 4, 92 7.

9 5, 24 9

100

43 2

Count

Square Footage (Etna)

Square Footage

Median : 1,412 Normal Dist.

Etna Borough Boundary 1820 - 1900 1901 - 1920 1921 - 1970 1971 or later

County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, Intermap, USGS, EPA, Esri, HERE

Year Built (Etna) 206 156161 135

100 0

2

3

1

3

4 11 8 14

40

68 61

47

78

37 43

66

Mean : 1919

83 39

18 11 5

1

1

3

2

2

18 3 18 0 3 18 6 4 18 2 4 18 8 5 18 4 6 18 1 67 18 7 18 3 7 18 9 85 18 9 18 1 9 19 7 0 19 3 0 19 9 15 19 2 19 2 2 19 8 3 19 4 4 19 0 4 19 6 5 19 2 5 19 8 6 19 4 7 19 0 7 19 6 83 19 8 19 9 95 20 0 20 1 0 20 7 13

Count

200

Year Built

Median : 1920 Normal Dist.

VERY GOOD GOOD AVERAGE FAIR POOR VERY POOR

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

Building Condition (Sharpsburg) 614

Count

600 400

326

200 0

108 1

6

VERY GOOD

GOOD

AVERAGE

FAIR

Building Condition

POOR

13

5

VERY POOR

UNSOUND

SINGLE FAMILY ROWHOUSE TOWNHOUSE TWO FAMILY THREE FAMILY FOUR FAMILY APART: 5-19 UNITS APART:20-39 UNITS

INDEPENDENT LIVIN (SENIORS) Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

Dwelling Type (Sharpsburg) Count

759

500

0

15

FOUR FAMILY

86

ROWHOUSE

SINGLE FAMI...

23

36

THREE FAMIL...

TOWNHOUSE

Dwelling Type

154

TWO FAMILY

Sharpsburg Borough Boundary <Null> Log Brick Concrete Block Frame Masonry FRAME Stone Stucco Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

Exterior Finish (Sharpsburg) Count

768

500

0

257 3

Brick

Concrete Bl...

Frame

41

1

3

Masonry FRA...

Stone

Stucco

Exterior FInish

Sharpsburg Borough Boundary Central Heat with AC Central Heat Floor Furnace Unit Heat Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

HVAC Systems (Sharpsburg)

HVAC Systems

5

1

1

W al lF ur na c.. .

W al lF ur na c.. .

50

2

1

Un it H ea t

2

O th er

0

N on e

232

Ce nt ra lH ea ...

Ce nt ra lH ea ...

Fl oo rF ur na ...

H ea tP um p w ...

Count

779

342 - 1000 sf 1001 - 2000 sf 2001 - 5300 sf

Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

88

100 15

48

171 154 149 119 109

89 84 37 25 34

Mean : 1,773 15 19 3 7 9 4

6 4

1 3 0 0 0 0 1

1, 00 3 1, 33 4 1, 66 4 1, 99 5 2, 32 5 2, 65 6 2, 98 6 3, 31 7 3, 64 7 3, 97 8 4, 30 8 4, 63 9 4, 96 9 5, 30 0

1 2

67 3

0

34 2

Count

Square Footage (Sharpsburg)

Building Square Footage

Median : 1,665 Normal Dist.

Sharpsburg Borough Boundary 1820 - 1900 1901 - 1920 1921 - 1970 1971 or later Esri, HERE, Garmin, (c) OpenStreetMap contributors, and the GIS user community, County of Allegheny, West Virginia GIS, Esri, HERE, Garmin, INCREMENT P, USGS, EPA

Year Built (Sharpsburg) 440

Year Built

19 92

19 83

19 73

19 64

5 2 7 6 24 13 10 15 11 1 16 15 6

19 54

45

19 45

8

19 35

17

90

19 26

12

19 16

11

19 07

49

18 97

18 88

18 78

9 0 2 13 37 20

18 69

3 4

18 59

0

Mean : 1910

181

200

18 50

Count

400

Median : 1900 Normal Dist.

_____________________________________________________________________________________ MILLVALE ENERGY USE SURVEY Thank you for your interest in the Millvale Energy Use Survey! This survey will help show current energy use and costs in Millvale. With this information, the TriBoro Ecodistrict will implement programs to reduce energy use and help you save money on your energy bills. It should only take 10 minutes to complete this survey and those who participate will be entered to win a raffle with $250 worth of gift cards and prizes.

An additional $500 fund will be distributed among selected volunteers willing to share their June 2019 energy bill (gas and electric). Sharing energy bills will provide more detailed energy use and expense information for Millvale. Your personal information will not be shared and participating will not affect your eligibility for utility assistance programs now or in the future.

To submit your survey, enter the $250 raffle, and indicate whether you are interested in sharing your energy bill, please fill out the bottom portion of this page and return it with your completed survey by: A) Dropping it off in person at the Millvale Community Library B) Mailing it to the Millvale Community Library using the included stamped envelope Submit your survey by the deadline of January 31, 2020.

If you would prefer, you can fill out and submit this survey online instead by visiting: https://tinyurl.com/MillvaleEnergyUse

I HAVE COMPLETED THE MILLVALE ENERGY SURVEY! Name: _______________________________________________________________________________ Email: _______________________________________________________________________________ Phone: _______________________________________________________________________________ Home address in Millvale: _______________________________________________________________ Are you interested in learning more about sharing your June 2019 energy bill? A Triboro Ecodistrict organizer will contact you to follow up if you select “Yes”

o Yes

o No

What is the best way to reach you about the raffle result and/or sharing your June 2019 energy bill?

oPhone call

oEmail

o Letter home

This survey is a project of the Triboro Ecodistrict, a coordinated sustainable development initiative across The Boroughs of Millvale, Etna, and Sharpsburg.

To learn more, see: https://www.newsunrising.org/project/triboro-ecodistrict/

____________________________________________________________________________________________________________________________________________________________

Instructions: Please answer each question on this survey to the best of your knowledge for your home in Millvale. If you do not know the answer or prefer not to answer, please leave the question blank.

PART 1. YOUR HOME Q1. How many people live in this home on a daily basis?

o 1 person o 2 – 3 people

o 4 – 5 people o More than 5 people

Q2. How many bedrooms are in your home?

o 1 Bedroom o 2 Bedrooms o 3 Bedrooms

o 4 Bedrooms o 5+ Bedrooms

Q3. How often do members of your household find your home to be too drafty? Drafty means you feel cold air coming into the house under the doors, near the windows, or in other places in your home.

o All the time o Most of the time

o Some of the time o Never PART 2. ENERGY USE

Q4. What sources of energy do you use in your home?

Heating Air conditioning Water heating Other

Natural gas

Electric

Fuel oil

Propane

Other

N/A

o o

o o

o o

o o

o o

o o

o

o

o

o

o

o

o

o

o

o

o

o PAGE 1

_____________________________________________________________________________________

Q5. What is the main type of heating equipment used to heat your home?

o My home is not heated o Central furnace o Heat pump o Steam or hot water system with radiators or pipes

o Built-in electric units installed in

walls, ceilings, baseboards, or floors

o Built-in floor/wall pipe-less furnace

o Built-in room heater burning gas, oil, or kerosene

o Heating stove burning wood, coal, or coke

o Portable electric heaters o Fireplace o Other (write in):

Q6. Do you have air conditioning in your home? If so, please specify the type of equipment you use and the number of units you own:

o I do not have air conditioning o I have central AC o I have 1 window unit or portable AC

o I have 2 window units or portable ACs

o I have 3+ window units or portable ACs

Q7. Do you have laundry machines in your home? If your home is in an apartment building, please indicate whether you have access to laundry machines in your building or unit.

o No, I do not have laundry machines o Yes, I have laundry machines in my home/apartment unit

o Laundry machines are available in my apartment building (Write in number of machines available) ___________

Q8. During the following seasons/times of day, what is the typical temperature in your home?

Summer

Winter

Daytime when people are home: _____

Daytime when people are home: _____

Daytime when no one is home: _____

Daytime when no one is home: _____

Over night: _____

Over night: _____

PAGE 2

_____________________________________________________________________________________

Q9. About how old are the following appliances in your home?

Heating system Not sure Replaced in last 5 years Older than 5 years N/A

Air conditioning system

Water heater

Refrigerator

Stove/oven

o o

o o

o o

o o

o o

o

o

o

o

o

o

o

o

o

o

Q10. Please indicate what portion of the light bulbs inside your home are of each type:

Incandescent bulbs

Incandescent CFL LED

CFL bulbs

LED bulbs

Not sure

All

Most

About half

Some

None

o o o

o o o

o o o

o o o

o o o

o o o

PART 3. ENERGY COSTS AND ASSISTANCE Q11. Who is responsible for paying energy bills in your household? Please check all that apply:

o Self o Family members or roommates

o Landlord o Other (write in) _______________ PAGE 3

_____________________________________________________________________________________

Q12. A home energy audit is when a trained professional examines how energy is used in all parts of a home. After examining a home, the energy auditor will provide a list of ways to reduce energy use and save money on energy bills. Has your home ever had a home energy audit, and if so were changes made to your home based on the audit’s results?

o Not sure o No, my home has not had an energy audit

o Yes, my home has had an energy

o Yes, my home has had an energy

audit. Changes WERE NOT made to my house based on the audit’s results

audit. Changes WERE made to my house based on the audit’s results

Q13. Has your household received any of the following energy-related benefits or assistance for your home? Please check all that apply.

o Free or subsidized energy-efficient light

o Tax credit for new appliance or

o Free or subsidized home energy audit o Utility or energy supplier rebate for new

o Home winterizing/weatherization kits

o Recycling of old appliance or equipment

________________________________

bulbs

appliance equipment

equipment

or materials

o Other (write in)

(e. g., a refrigerator)

Q14. Has your household worked with any of the following organizations to implement energy efficiency programs for your home?

o No o Duquesne Light o People’s Natural Gas

o Grassroots Greenhomes o Other (write in) __________________

Q15. In the last year, how many months did your household reduce or forgo expenses for basic household necessities, such as medicine or food, in order to pay an energy bill?

o Almost every month o Some months

o 1 or 2 months o Never PAGE 4

_____________________________________________________________________________________

Q16. In the last year, how many months did your household keep your home at a temperature you felt was unsafe or unhealthy?

o Almost every month o Some months in the summer

o Some months in the winter o Never

Q17. In the last year, did anyone in your household receive medical attention because your home was either too hot or too cold?

o Yes

o No PART 4. ALTERNATIVE ENERGY AND SUSTAINABILITY

Q18. Which of the following statements best describes your interest in energy conservation in your home?

o I am not interested in energy

o I am interested in energy conservation

conservation in my home

o I am interested in energy conservation

in my home primarily to save money on energy bills

o I am interested in energy conservation

in my home for both cost-savings and environmental reasons

o I am interested in energy conservation

in my home for other reasons (write in) _______________________

in my home primarily because of environmental concerns

Q19. How often do you turn off the lights when a room is not in use?

o Always

o Sometimes

o Never

Q20. How often do you use cold water instead of hot water for tasks such as laundry or washing the dishes?

o Always

o Sometimes

o Never

Q21. How interested are you in learning about or expanding your use of renewable energy through energy assistance programs, cooperative models, or community projects in Millvale?

o Very interested

o Somewhat interested

o Not interested PAGE 5

____________________________________________________________________________________________________________________________________________________________

Q22. Do you use any of the following renewable energy options? Check all that apply

o Solar panels have been installed on my

o I purchase green energy through my

o I am part of a solar co-op

o I use other types of renewable energy

house

energy supplier

(write in) _______________

PART 5. DEMOGRAPHIC QUESTIONS Q23. Do you own or rent your home?

o Own o Rent

o Other (write in):___________________

Q24. For how long have you lived at your current address?

o 1 year or less o 2 – 3 years o 4 – 5 years

o 6 – 10 years o 11 – 14 years o 15 – 19 years

o 20+ years

Q25. In what range does your typical annual household income fall?

o Less than $25,000 o $25,000 to $34,999 o $35,000 to $49,999

o $50,000 to $74,999 o $75,000 to $99,999 o $100,000 to

o $150,000 to $199,999

o $200,000 or higher

$149,999

Q26. What is your highest attained level of education?

o High school diploma

o Some college

o Associates degree

o College degree

or equivalent

o Graduate degree o Other (write in) _________

Q27. With what gender do you identify?

Please write in: ________________________ Q28. With what race(s) do you identify?

Please write in: __________________________

PAGE 6

_____________________________________________________________________________________ THANK YOU FOR YOUR TIME SPENT TAKING THIS SURVEY! If you did not previously provide the following contact information one the first page of this survey, please do so now! This survey will help show current energy use and costs in Millvale. With this information, the

TriBoro Ecodistrict will implement programs to reduce energy use and help you save money on your energy bills. Those who participate will be entered to win a raffle with $250 worth of gift cards/prizes.

An additional $500 fund will be distributed among selected volunteers willing to share their June 2019 energy bill (gas and electric). Sharing energy bills will provide more detailed energy use and expense information for Millvale. Your personal information will not be shared and participating will not affect your eligibility for utility assistance programs now or in the future.

To submit your survey, enter the $250 raffle, and indicate whether you may be interested in sharing your June 2019 energy bill for additional financial compensation, please submit your survey by either dropping it off in person to the Millvale Community Library or mailing it to the Millvale Community Library using the included self-addressed stamped envelope.

Please submit your survey by the deadline: January 31, 2020.

I HAVE COMPLETED THE MILLVALE ENERGY SURVEY! Name: _______________________________________________________________________________ Email: _______________________________________________________________________________ Phone: _______________________________________________________________________________ Home address in Millvale: _______________________________________________________________ Are you interested in learning more about sharing your June 2019 energy bill? A Triboro Ecodistrict organizer will contact you to follow up if you select “Yes”

o Yes

o No

What is the best way to reach you about the raffle result and/or sharing your June 2019 energy bill?

oPhone call

oEmail

o Letter home

TRIBORO ECODISTRICT ENERGY BASELINE STUDY