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

Journal Article


Abstract


  • Failures of countries to set and achieve renewable energy targets are prevalent, producing uncertainty as to the possibility of renewable energy contributing to a reduction in global emissions. Lack of policy and incorrect modelling analyses are among the sources of these failures and understanding these two sources is crucial for improving confidence in renewables. We assess errors in projections pertaining to the capacity and production of renewable energy in the United States and those countries of the European Union that have strong commitments to green energy supply. Our results show that solar energy has the lowest level of uncertainty as it has the most achievable capacity projections. However, other renewables entail more attractive policies and further research is needed for the advancement of reliable technology and accurate weather predictions. Our findings also provide ranges for the projection uncertainties for six renewable energy technologies, drawing attentions to ways that the dominant errors in these renewable energy projections may be rectified.

Publication Date


  • 2019

Citation


  • al Irsyad, M. I., Halog, A., & Nepal, R. (2019). Renewable energy projections for climate change mitigation: An analysis of uncertainty and errors. Renewable Energy, 130, 536-546. doi:10.1016/j.renene.2018.06.082

Scopus Eid


  • 2-s2.0-85049891744

Start Page


  • 536

End Page


  • 546

Volume


  • 130

Abstract


  • Failures of countries to set and achieve renewable energy targets are prevalent, producing uncertainty as to the possibility of renewable energy contributing to a reduction in global emissions. Lack of policy and incorrect modelling analyses are among the sources of these failures and understanding these two sources is crucial for improving confidence in renewables. We assess errors in projections pertaining to the capacity and production of renewable energy in the United States and those countries of the European Union that have strong commitments to green energy supply. Our results show that solar energy has the lowest level of uncertainty as it has the most achievable capacity projections. However, other renewables entail more attractive policies and further research is needed for the advancement of reliable technology and accurate weather predictions. Our findings also provide ranges for the projection uncertainties for six renewable energy technologies, drawing attentions to ways that the dominant errors in these renewable energy projections may be rectified.

Publication Date


  • 2019

Citation


  • al Irsyad, M. I., Halog, A., & Nepal, R. (2019). Renewable energy projections for climate change mitigation: An analysis of uncertainty and errors. Renewable Energy, 130, 536-546. doi:10.1016/j.renene.2018.06.082

Scopus Eid


  • 2-s2.0-85049891744

Start Page


  • 536

End Page


  • 546

Volume


  • 130