Renewable Energy Projections for Climate Change Mitigation: An Analysis of Uncertainty and Errors

M. A. al Irsyad, A. Halog, Rabindra Nepal
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引用次数: 52

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.
减缓气候变化的可再生能源预测:不确定性和误差分析
各国在制定和实现可再生能源目标方面的失败是普遍存在的,这对可再生能源有助于减少全球排放的可能性产生了不确定性。缺乏政策和不正确的模型分析是这些失败的原因之一,了解这两个原因对于提高对可再生能源的信心至关重要。我们评估了美国和那些对绿色能源供应有坚定承诺的欧盟国家有关可再生能源产能和生产的预测误差。我们的研究结果表明,太阳能具有最低的不确定性水平,因为它具有最可实现的容量预测。然而,其他可再生能源需要更具吸引力的政策,需要进一步的研究来提高可靠的技术和准确的天气预报。我们的研究结果还为六种可再生能源技术的预测不确定性提供了范围,引起了人们对这些可再生能源预测中主要误差可能被纠正的方式的关注。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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