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Renewable energy projections for climate change mitigation: An analysis of uncertainty and errors

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  • M. Indra al Irsyada
  • Anthony Halog
  • Rabindra Nepal

Abstract

Failures of countries in setting and achieving renewable energy targets are prevalent, raising uncertainty about the overall contribution of renewable energy to global emission reductions. Lack of policy and incorrect modelling analysis are among the sources of the failures. Thus understanding these two sources is crucial to improve confidence about renewables. We assess errors in the projections of renewable energy capacity and production in the United States and European Union countries, which have high commitments to green energy supply. Our results show that solar energy has the lowest uncertainty due to having the most achievable projections of capacity and production. On the other hand, other renewables may entail attractive policies, and further research is needed related to advancing reliable technology and accurate weather predictions. Our findings also provide ranges of projection uncertainty of six renewable energy technologies and, at the same time, draw attention to ways to rectify the dominant errors in the renewable energy projections.

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  • M. Indra al Irsyada & Anthony Halog & Rabindra Nepal, 2017. "Renewable energy projections for climate change mitigation: An analysis of uncertainty and errors," CAMA Working Papers 2017-74, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:camaaa:2017-74
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    2. al Irsyad, M. Indra & Halog, Anthony & Nepal, Rabindra, 2018. "Estimating the impacts of financing support policies towards photovoltaic market in Indonesia: A social-energy-economy-environment (SE3) model simulation," Working Papers 2018-09, University of Tasmania, Tasmanian School of Business and Economics.
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    Keywords

    Projection error; commitment; technical issues; modeling and policy;

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