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Energy Flexibility & Asset Management

Trygve Skjøtskift IBM

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What happens How changes in behaviors and markets dynamics provide new data opportunities

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New customer dynamics Danish customers goes off-grid and produce themselves + 100.000 PV installations + 70.000 Heat pumps + 8.000 EVs

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There is an explicit need for aggregators to convert the potential energy capacity, from small and large prosumers, to flexibility Increasing renewables production, decentralization and electrification… Before …

…create a large demand for flexibility, which the current system cannot deliver…

…why we want to exploit the opportunities within aggregation of flexibility.

Increasing flexibility demand -

Price & portfolio optmization System balancing Frequence demand response

Flexibility Aggregator

Consumer

Now..

Challenge: “Kraftværkerne vil ikke kunne levere den mængde fleksibilitet til at balancere den voksende mængde fluktuerende produktion, samt at vil der være færre regulerbare kraftværker til rådighed.” – DI, DE og Energinet 4

Aggregation of consumption and production flexibility


Cities will take lead C40 HQ in CHP is pushing for new digital solution and real time asset management • Building Energy Management • District Energy Management

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CPH Case: By managing its assets and energy, Copenhagen would be able to meet the 2025 targets, while reducing its infrastructure investments and operations costs by 10-15% By optimizing its +1 bill. DKK annual asset investments • • • • • • • • • • • • • 6

1 CHP (495 MW/710 MJ) 14 water cleaning plants 25 solar installations 100 wind turbines (2025) 103 water reservoirs 250 electrical vehicles 1300 km district heating network 3.500 public buildings 4.000 km water pipes 24.000 m3 water heat storage 44.000 street lights 500.000 heating consumers 1.000.000 water customers

They can achieve following quantifiable potentials: • +15 GWh power savings • +25 GWh district heating savings • +5 M m3 water savings • +100 MDKK in CAPEX and OPEX savings • +60.000 tonnes CO2 saving Non-quantifiable potentials: • Higher security of supply • More satisfied citizens • Map of assets at risk (assets/cyber) • Improved weather resilience


CPH Case: If Copenhagen centralized all their energy procurement, they could become Denmark’s biggest real time energy market aggregator

Copenhagen Micro Grid

Energinet DSOs Nordpool

Distribution

Generation

Aggregator

Transmission

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Aggregator models: DI, Dansk Energi og Energinet have formulated 4 proposals for market models for aggregators

Model 0 (Active)

Model 1 (ready in 2018)

Forbruger

Forbruger

Fleksibelt forbrug/ produktion

Fleksibelt forbrug/ produktion

Model 2 (Pilot in 2018)

Model 3 (Active) Forbruger

Forbruger

Aggregator

Fleksibelt forbrug/ produktion

Fleksibelt forbrug/ produktion

Aggregator

Balanceansvarlige

Balanceansvarlige Elleverandør

Aggregator

Balanceansvarlige

Elleverandør Balanceansvarlige

Elleverandør Balanceansvarlige

Markedsmodeller for Aggregatorer – Aktivering af fleksibilitet, af DI, Dansk Energi og Energinet

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Aggregator

Elleverandør Balanceansvarlige

Elleverandør


The Energy & Utilities industry model shifts towards a real time energy and asset management market Traditional Industry Model (Centralized)

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Today’s Industry Model (Hybrid)

Possible Future Industry Model (Decentralized)


As the customer demand and the energy market is changing - new market entrants are entering into the market Energy Brookers / Energy Aggregators Digital Giants Service Providers

Technology Giants

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Consumer Services


The Danish utility companies needs to define its real time data offerings and business models Microgrids Generation

Trading

Transmission O&M Services

Renewables

Micro Generation Energy Aggregation Bidding support

Commodity Generator

Storage

Energy Exchange

Demand Response

Forecasting

Energy Data Services Optimization

Retail

Home Experience (B2C)

Metering Mobility

Scheduling

Information Services Marketing Services

Customer Intelligence Traffic Information

Insurance

DER

EV

Weather

Elderly Care

Healthcare

Telco

Grid Manager

Distributed Generation

Grid Developer

Microgrid

Asset Analytics

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Distribution

Grid Services

VPP

VPP

Facilities Mgt Usage Monitoring EPC

Business & City Experience (B2B/B2G) Asset Mgt Services

Energy Efficiency Energy Audit HVAC/ Climate

Energy

M&E

Home Automation Security


The new industry models and markets are fueled by the maturity and the adoption of new technologies Consumer Technology

Energy Technology Microgrids

Solar PV

Electric Vehicles

Storage Fuel Cells

Prosumer Enablement

Smart Appliances

Wind

Apps

Social Networks

Internet of Things

Big Data & Analytics

Automated Demand Response Embedded Micro Processing Smart Grid/ Grid Digitization

Core Business Disruption

Grid / Operational Technology 12

Advanced Network Management Situational Awareness

Cognitive Computing Mobile

Cloud

Digital Technology


The new industry models and markets are fueled by the maturity and the adoption of new technologies

The Internet of Things Utilities will continue their quest of monitoring, controlling and retrieving real time data from millions of technical assets across the whole value chain.

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IT & OT IT and OT environments are both becoming flatter, peer-to-peer and increasingly operating in real time. Shift from hierarchical well defined interactions to flat multivariable interactions.

Situational awareness

Cloud

Data Platforms

The new normal is continuous feed of videos, photos, maps, collaboration tools and more that all provide a geospatial view of the local and global condition.

Utilities are increasing their flexibility, scalability • TBA and cost efficiency by taking advantage of the new and many cloud alternatives.

Integrated analytics data platform of tools, services and data that helps companies accelerate their shift to become data-driven organizations

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Bluemix


The Watson Data Platform helps retrieve and perform the necessary analytics for the aggregator

Integrated view

Asset insights

• Pricing information

• Geospatial information

• Hyper local weather forecast

• Asset master data

• Production forecast – central and decentralized

• Asset performance • Intermittence and VPP potential

• Intermittable capacity information – buildings, heating, ventilation, pumps • Storage information – heating, electricity, gas

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• Criticality, security and risk

Analytics Data Platform


Use of Blockchain to integrate flexible capacity supplied by electric cars and solar into the electrical grid

Flexible Energy

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Using decentralized networked home energy storage systems and blockchain technology to stabilize the power grid

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Networked energy storage systems to absorb or discharge excess power


Predictive work and asset optimization enables utilities to improve operational efficiency and reduce costs.

Work & Asset Optimization • Reduce downtime and improve reliability • Improve asset performance, prolong asset life and reduce operations and maintenance costs • Improve field workforce productivity and safety • Improve customer satisfaction • Ensure regulatory compliance

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Visual Recognition Service for Asset Condition Inquiry

T&D Operations

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Automatic and cognitive assessment of photos taken on the location by using image recognition technology

Use image recognition to validate correct installation and asset conditions

Use it as QA documentation

IBM Confidential and Proprietary


Watson Explorer improve customer service by sourcing data from all legacy systems into an integrated view of customers across the enterprise.

Customer service • Increase customer satisfaction and loyalty via more interactive and personalized customer relationships • Improve operational efficiency of call center and marketing • Empower of customers to actively manage energy use and utilize self service options • Reduce energy theft and fraud

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