Developing the future energy workforce

Page 110

YEAR ORGANISATION

RE

EE

JOBS

$$

ANNUAL

Appendix 2 – Selected Australian studies reporting on the clean energy sector

2002

✗17

NSW SEDA and sponsored by the Australian Greenhouse Office and the energy authorities of other states and territories (Mark Ellis & Associates, 2003)

MAIN APPROACH Survey of companies. Extrapolation from survey data using accepted ratios and multipliers (ABS)

BOUNDARIES (LEVEL OF DETAIL) Sub-sectors of energy efficiency, renewable energy and co-generation; technology types; occupational categories; company size; company annual sales and employment figures for the last three financial years and projected figures for the present financial year. Direct and indirect (type 1 and 2 multipliers)

2011

The Climate Institute, with electricity sector modelling undertaken by SKM-MMA and employment modelling by UTS (Climate Institute, 2011)

2016

ACF and ACTU (NIEIR, ACF & ACTU 2016).

Electricity modelling projected the renewable energy technology mix likely under the LRET/SRES schemes 2005 to 2050 Employment factors (multipliers) from a variety of sources, were used with an annual decline for efficiency included.

Integrated economic modelling of three scenarios to address pollution (BAU, medium and strong). Includes energy efficiency and renewable energy.

Electricity modelling provided coverage of the whole of Australia Electricity supply technologies; Broad occupational categories; Direct

Breakdowns of industry sectors provided.

Scenarios include renewable energy (including storage), soil carbon capture, public transport, household Detailed methodology not provided. and industrial energy efficiency, electric and low emissions vehicles, development of alternative fuels such as biodiesel and other measures Unclear which energy efficiency and renewable energy technologies and occupations are included 2016

17 110

The Climate Council and EY (Sinden & Leffler 2016)

Compares two scenarios – BAU renewable energy growth and 50% renewable energy electricity by 2030. Used two models: •

EY’s Australian electricity forecast model

a sectoral employment model: employment multipliers from the Eora input-output model

A similar national survey was undertaken in 2000 and a NSW survey in 1999

E3 Opportunity Assessment: Developing the future energy workforce

Broad occupational categories, broken down by State Direct and indirect jobs, includes impacts on fossil fuel jobs


Turn static files into dynamic content formats.

Create a flipbook
Issuu converts static files into: digital portfolios, online yearbooks, online catalogs, digital photo albums and more. Sign up and create your flipbook.
Developing the future energy workforce by racefor2030 - Issuu