An economic evaluation of the potential for distributed energy in Australia
AbstractWe 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.
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Bibliographic InfoArticle provided by Elsevier in its journal Energy Policy.
Volume (Year): 51 (2012)
Issue (Month): C ()
Contact details of provider:
Web page: http://www.elsevier.com/locate/enpol
Distributed energy; Economic modeling; Electricity markets;
Other versions of this item:
- William Lilley & Luke Reedman & Liam Wagner & Colin Alie & Anthony Szatow, 2012. "An economic evaluation of the potential for distributed energy in Australia," Energy Economics and Management Group Working Papers 16, School of Economics, University of Queensland, Australia.
- 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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