Analysis of institutional adaptability to redress electricity infrastructure vulnerability due to climate change
This non-technical summary presents the findings and recommendations from the project called ‘Analysis of institutional adaptability to redress electricity infrastructure vulnerability due to climate change’. The objectives of the project are to examine the adaptive capacity of existing institutional arrangements in the National Electricity Market (NEM) to existing and predicted climate change conditions. Specifically the project: identifies climate change adaptation issues in the NEM; analyses climate change impacts on reliability in the NEM under alternative climate change scenarios to 2030, particularly what adaptation strategies the power generation and supply network infrastructure will need; and assesses the robustness of the institutional arrangements that supports effective adaptation. The project finds that four factors are hindering or required for adaptation to climate change: fragmentation of the NEM, both politically and economically; accelerated deterioration of the transmission and distribution infrastructure due to climate change requiring the deployment of technology to defer investment in transmission and distribution; lacking mechanisms to develop a diversified portfolio of generation technology and energy sources to reduce supply risk; and failure to model and treat the NEM as a national node based entity rather than state based. The project’s findings are primarily to address climate change issues but if these four factors are addressed, the resilience of the NEM is improved to handle other adverse contingences. For instance, the two factors driving the largest increases in electricity prices are investment in transmission and distribution and fossil fuel prices. Peak demand drives the investment in transmission and distribution but peak demand is only for a relatively short period. Exacerbating this effect is increasing underutilisation of transmission and distribution driven by both solar photo voltaic (PV) uptake and climate change. Using demand side management (DSM) to shift demand to outside peak periods provides one method to defer investment in transmission and distribution. Recommendation 2 addresses investment deferment. The commodity boom has increased both price and price volatility of fossil fuels where the lack of diversity in generation makes electricity prices very sensitive to fossil fuel prices and disruptions in supply. A diversified portfolio of generation would ameliorate the price sensitivity and supply disruptions. Furthermore, long term electricity price rises are likely to ensue as the fossil fuels become depleted. A diversified portfolio of generation would also ready the NEM for this contingency. Recommendation 3 addresses diversified portfolios. This project makes four inter-related recommendations to address the four factors listed above. Chapter 10 discusses the justification for these recommendations in more detail.
|Date of creation:||12 Jun 2013|
|Date of revision:|
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- Mansur, Erin T. & Mendelsohn, Robert & Morrison, Wendy, 2008. "Climate change adaptation: A study of fuel choice and consumption in the US energy sector," Journal of Environmental Economics and Management, Elsevier, vol. 55(2), pages 175-193, March.
- T. Heller & R. Huet & Bénédicte Vidaillet, 2013. "Introduction," Post-Print hal-00848256, HAL.
- Steve Keen, 1995. "Finance and Economic Breakdown: Modeling Minsky's "Financial Instability Hypothesis"," Journal of Post Keynesian Economics, M.E. Sharpe, Inc., vol. 17(4), pages 607-635, July.
- Lee, Chien-Chiang & Chiu, Yi-Bin, 2011. "Electricity demand elasticities and temperature: Evidence from panel smooth transition regression with instrumental variable approach," Energy Economics, Elsevier, vol. 33(5), pages 896-902, September.
- Feeley, Thomas J. & Skone, Timothy J. & Stiegel, Gary J. & McNemar, Andrea & Nemeth, Michael & Schimmoller, Brian & Murphy, James T. & Manfredo, Lynn, 2008. "Water: A critical resource in the thermoelectric power industry," Energy, Elsevier, vol. 33(1), pages 1-11.
- Bell, William Paul & Wild, Phillip & Foster, John, 2013. "The transformative effect of unscheduled generation by solar PV and wind generation on net electricity demand," MPRA Paper 46065, University Library of Munich, Germany.
- Shafiee, Shahriar & Topal, Erkan, 2009. "When will fossil fuel reserves be diminished?," Energy Policy, Elsevier, vol. 37(1), pages 181-189, January.
- Enrica De Cian & Elisa Lanzi & Roberto Roson, 2007.
"The Impact of Temperature Change on Energy Demand: A Dynamic Panel Analysis,"
2007.46, Fondazione Eni Enrico Mattei.
- Roberto Roson & Enrica de Cian & Elisa Lanzi, 2007. "The Impact of Temperature Change on Energy Demand a Dynamic Panel Analysis," Working Papers 2007_06, Department of Economics, University of Venice "Ca' Foscari".
- Pina, André & Silva, Carlos & Ferrão, Paulo, 2011. "Modeling hourly electricity dynamics for policy making in long-term scenarios," Energy Policy, Elsevier, vol. 39(9), pages 4692-4702, September.
- Skoufa, Lucas & Tamaschke, Rick, 2011. "Carbon prices, institutions, technology and electricity generation firms in two Australian states," Energy Policy, Elsevier, vol. 39(5), pages 2606-2614, May.
- Facundo Alvaredo & Anthony B. Atkinson & Thomas Piketty & Emmanuel Saez, 2013.
"The Top 1 Percent in International and Historical Perspective,"
Journal of Economic Perspectives,
American Economic Association, vol. 27(3), pages 3-20, Summer.
- Facundo Alvaredo & Anthony B. Atkinson & Thomas Piketty & Emmanuel Saez, 2013. "The Top 1 Percent in International and Historical Perspective," NBER Working Papers 19075, National Bureau of Economic Research, Inc.
- Thatcher, Marcus J., 2007. "Modelling changes to electricity demand load duration curves as a consequence of predicted climate change for Australia," Energy, Elsevier, vol. 32(9), pages 1647-1659.
- Koch, Hagen & Vögele, Stefan, 2009. "Dynamic modelling of water demand, water availability and adaptation strategies for power plants to global change," Ecological Economics, Elsevier, vol. 68(7), pages 2031-2039, May.
- Mideksa, Torben K. & Kallbekken, Steffen, 2010. "The impact of climate change on the electricity market: A review," Energy Policy, Elsevier, vol. 38(7), pages 3579-3585, July.
- Sichao, Kan & Yamamoto, Hiromi & Yamaji, Kenji, 2010. "Evaluation of CO2 free electricity trading market in Japan by multi-agent simulations," Energy Policy, Elsevier, vol. 38(7), pages 3309-3319, July.
- Bell, William & Foster, John, 2012. "Feed-in tariffs for promoting solar PV: progressing from dynamic to allocative efficiency," MPRA Paper 38861, University Library of Munich, Germany, revised 28 Apr 2012.
- Taylor, James W. & Buizza, Roberto, 2003. "Using weather ensemble predictions in electricity demand forecasting," International Journal of Forecasting, Elsevier, vol. 19(1), pages 57-70.
- Phil Wild & William Paul Bell & John Foster, 2012. "An Assessment of the Impact of the Introduction of Carbon Price Signals on Prices, Production Trends, Carbon Emissions and Power Flows in the NEM for the period 2007-2009," Energy Economics and Management Group Working Papers 4-2012, School of Economics, University of Queensland, Australia.
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