globalchange  > 气候减缓与适应
DOI: 10.1016/j.renene.2018.06.082
WOS记录号: WOS:000447568800046
论文题名:
Renewable energy projections for climate change mitigation: An analysis of uncertainty and errors
作者: al Lrsyad, Muhammad Indra1,2; Halog, Anthony2; Nepal, Rabindra3,4
通讯作者: al Lrsyad, Muhammad Indra
刊名: RENEWABLE ENERGY
ISSN: 0960-1481
出版年: 2019
卷: 130, 页码:536-546
语种: 英语
英文关键词: Projection error ; Commitment ; Technical issues ; Modelling ; Policy
WOS关键词: WIND POWER ; ELECTRICITY ; POLITICS ; SYSTEMS ; POLICY ; MODEL ; US ; CONSUMPTION ; TECHNOLOGY ; GENERATION
WOS学科分类: Green & Sustainable Science & Technology ; Energy & Fuels
WOS研究方向: Science & Technology - Other Topics ; Energy & Fuels
英文摘要:

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. (C) 2018 Elsevier Ltd. All rights reserved.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/125676
Appears in Collections:气候减缓与适应

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作者单位: 1.Minist Energy & Mineral Resources, Res & Dev Ctr Elect Renewables & Energy Conservat, Jakarta, Indonesia
2.Univ Queensland, Sch Earth & Environm Sci, St Lucia, Qld, Australia
3.Massey Univ, Sch Econ & Finance, Palmerston North, New Zealand
4.Australian Natl Univ, CAMA, JG Crawford Bldg 132, Canberra, ACT 0200, Australia

Recommended Citation:
al Lrsyad, Muhammad Indra,Halog, Anthony,Nepal, Rabindra. Renewable energy projections for climate change mitigation: An analysis of uncertainty and errors[J]. RENEWABLE ENERGY,2019-01-01,130:536-546
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