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DOI10.1016/j.rser.2023.114233
Characterizing decision making under deep uncertainty for model-based energy transitions
发表日期2024
ISSN1364-0321
EISSN1879-0690
起始页码192
卷号192
英文摘要Sustainable energy transitions (SET) are complex processes spanning over decades and subject to deep uncertainty from a variety of sources, such as climate change, technology development, and social and institutional contexts. Although this is a recognized issue in SET, previous studies and reviews in this field lack a comprehensive identification of the deep uncertainty sources and the capacities of methods to cope with them. Based on the review of nearly 100 selected references that involve 19 case studies, this review systematically identifies and characterizes these sources of deep uncertainty for the first time. In doing so, it considers the techno-economic, political, and socio-technical dimensions of SET and analyses Decision Making under Deep Uncertainty (DMDU) methods to cope with the specific characteristics of SET. The analysis of the applicability of DMDU methodologies to SET reveals that no predominant methodology covers all aspects of deep uncertainty sources and that the DMDU paradigm could benefit from a multi-method perspective specifically designed for SET. Thus, through some final recommendations, this review aims to provide guidance in the process of deep uncertainty characterization in SET studies and to constitute a basis to support decision-makers in selecting the adequate DMDU method or on generating new dedicated approaches for conducting SET studies under deep uncertainty considering the specific local contexts.
英文关键词Deep uncertainty; Energy system; Energy policy; Renewable energy; Robustness; Sustainable energy transition
语种英语
WOS研究方向Science & Technology - Other Topics ; Energy & Fuels
WOS类目Green & Sustainable Science & Technology ; Energy & Fuels
WOS记录号WOS:001165558300001
来源期刊RENEWABLE & SUSTAINABLE ENERGY REVIEWS
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/297512
作者单位Universidad de Chile; Universidad de Chile; University of Canterbury
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. Characterizing decision making under deep uncertainty for model-based energy transitions[J],2024,192.
APA (2024).Characterizing decision making under deep uncertainty for model-based energy transitions.RENEWABLE & SUSTAINABLE ENERGY REVIEWS,192.
MLA "Characterizing decision making under deep uncertainty for model-based energy transitions".RENEWABLE & SUSTAINABLE ENERGY REVIEWS 192(2024).
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