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An economic evaluation of the potential for distributed energy in Australia

Author

Listed:
  • William E., Lilley
  • Luke J., Reedman
  • Liam D., Wagner
  • Colin F., Alie
  • Anthony R., Szatow

Abstract

We present here economic findings from a major study by Australia's Commonwealth Scientific and Industrial Research Organisation (CSIRO) on the value of distributed energy technologies (DE; collectively demand management, energy efficiency and distributed generation) for reducing greenhouse gas emissions from Australia's energy sector (CSIRO, 2009). The study covered potential economic, environmental, technical, social, policy and regulatory impacts that could result from their wide scale adoption. Partial Equilibrium modeling of the stationary energy and transport sectors found that Australia could achieve a present value welfare gain of around $130 billion when operating under a 450ppm carbon reduction trajectory through to 2050. Modeling also suggests that reduced volatility in the spot market could decrease average prices by up to 12% in 2030 and 65% in 2050 by using local resources to better cater for an evolving supply–demand imbalance. Further modeling suggests that even a small amount of distributed generation located within a distribution network has the potential to significantly alter electricity prices by changing the merit order of dispatch in an electricity spot market. Changes to the dispatch relative to a base case can have both positive and negative effects on network losses.

Suggested Citation

  • William E., Lilley & Luke J., Reedman & Liam D., Wagner & Colin F., Alie & Anthony R., Szatow, 2012. "An economic evaluation of the potential for distributed energy in Australia," Energy Policy, Elsevier, vol. 51(C), pages 277-289.
  • Handle: RePEc:eee:enepol:v:51:y:2012:i:c:p:277-289
    DOI: 10.1016/j.enpol.2012.08.008
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    Cited by:

    1. Lupangu, C. & Bansal, R.C., 2017. "A review of technical issues on the development of solar photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 950-965.
    2. John Curtis, Valeria Di Cosmo, and Paul Deane, 2014. "Climate policy, interconnection and carbon leakage: The effect of unilateral UK policy on electricity and GHG emissions in Ireland," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    3. Foster, John & Wagner, Liam & Liebman, Ariel, 2017. "Economic and investment models for future grids: Final Report Project 3," MPRA Paper 78866, University Library of Munich, Germany.
    4. Molyneaux, Lynette & Froome, Craig & Wagner, Liam & Foster, John, 2013. "Australian power: Can renewable technologies change the dominant industry view?," Renewable Energy, Elsevier, vol. 60(C), pages 215-221.
    5. Wagner, Liam & Molyneaux, Lynette & Foster, John, 2014. "The magnitude of the impact of a shift from coal to gas under a Carbon Price," Energy Policy, Elsevier, vol. 66(C), pages 280-291.
    6. John Foster & Liam Wagner & Liam Byrnes, 2014. "A Review of Distributed Generation for Rural and Remote Area Electrification," Energy Economics and Management Group Working Papers 3-2014, School of Economics, University of Queensland, Australia.
    7. Lynette Molyneaux & Craig Froome & Liam Wagner & John Foster, 2012. "Australian Power: Can renewable technologies change the dominant industry view?," Energy Economics and Management Group Working Papers 13-2012, School of Economics, University of Queensland, Australia.
    8. Buckman, Greg & Sibley, Jon & Bourne, Richard, 2014. "The large-scale solar feed-in tariff reverse auction in the Australian Capital Territory, Australia," Energy Policy, Elsevier, vol. 72(C), pages 14-22.
    9. Foster, John & Wagner, Liam & Liebman, Ariel, 2015. "Modelling the Electricity and Natural Gas Sectors for the Future Grid: Developing Co-Optimisation Platforms for Market Redesign," MPRA Paper 70114, University Library of Munich, Germany.
    10. Cheung, Grace & Davies, Peter J. & Trück, Stefan, 2016. "Financing alternative energy projects: An examination of challenges and opportunities for local government," Energy Policy, Elsevier, vol. 97(C), pages 354-364.

    More about this item

    Keywords

    Distributed energy; Economic modeling; Electricity markets;

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

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