基于MCDA分析的长期能源情景排序:留尼旺岛案例

IF 5.4 Q2 ENERGY & FUELS
Dominique Grondin , Chao Tang , Andrew Barney , Agnès François , Heracles Polatidis , Michel Benne , Béatrice Morel
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引用次数: 0

摘要

岛屿领土严重依赖矿物燃料资源,向其他能源过渡对其进展至关重要。为了实现这一目标,必须利用当地的可再生能源。在这项研究中,对留尼旺岛的能源规划进行了分析,其中使用了多标准决策分析(MCDA)方法来评估2050年能源情景的可持续性。这项评估是根据技术、经济、环境和社会方面的标准进行的。此外,在评价这些标准时还考虑了当地行动者的观点。结果表明,温室气体排放和创造就业的标准被认为是最重要的,而技术标准被这些地方利益相关者认为是最不重要的。PROMETHEE II和TOPSIS MCDA分析表明,所有当地能源资源被最大限度利用的组合方案是首选的发电方案。研究结果被用来为岛屿规划者制定政策建议,帮助他们调整该岛目前的能源战略。这项研究也为其他正在经历能源转型的非互联岛屿提供了宝贵的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Long-term energy scenario ranking with MCDA analysis: The case of Reunion Island

Long-term energy scenario ranking with MCDA analysis: The case of Reunion Island
Island territories rely heavily on fossil fuel resources, and transitioning to other energy sources is essential for their progress. To accomplish this, it is imperative to utilize local renewable energy sources. In this study, an analysis of energy planning for Reunion Island has been conducted where Multi-Criteria Decision Analysis (MCDA) methodologies have been used to evaluate the sustainability of energy scenarios for 2050. This evaluation is carried out considering criteria encompassing technical, economic, environmental, and social aspects of the scenarios. Further, perspectives of local actors were considered in the evaluation of these criteria. The results indicate that the greenhouse gas emissions and job creation criteria are considered to be of utmost significance, whilst technical criteria were regarded as the least significant by these local stakeholders. PROMETHEE II and TOPSIS MCDA analysis reveal that the Combined scenario, a scenario where all local energy resources are exploited to their maximum, is the preferred electricity generation scenario. The findings are used to formulate policy recommendations for island planners, helping them to adjust the island's current energy strategies. This study also serves as a valuable resource for other non-interconnected islands undergoing an energy transition.
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来源期刊
Smart Energy
Smart Energy Engineering-Mechanical Engineering
CiteScore
9.20
自引率
0.00%
发文量
29
审稿时长
73 days
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