@inproceedings{f17ac94a0bf44e418bf84aea21329e58,
title = "A Review on Multiple Criteria Performance Analysis of Renewable Energy Systems",
abstract = "The modelling for renewable energy system (RES) performance evaluation and impact analysis can be a challenging task, where there are multiple criteria with both quantitative and qualitative forms under uncertainty. Multi-criteria decision analysis (MCDA) methods have become increasingly popular in the decision-making for renewable energy systems because of the multi-dimensionality of the sustainability goal and the complexity of the technical, environmental, economic and social perspectives. This paper aims to review the applications of MCDA methods to the performance modelling and impact analysis of RESs, primarily in four relevant areas, including renewable energy planning and policy, renewable energy evaluation and assessment, renewable energy project selection and allocation and RES environmental impact assessment. Further research can be conducted to study the feasibility of different RESs and the selection of an appropriate MCDA methodology in alternative energy decision-making.",
keywords = "MULTICRITERIA DECISION-ANALYSIS, ANALYTIC HIERARCHY PROCESS, SUSTAINABLE DEVELOPMENT, ELECTRICITY-GENERATION, ENVIRONMENT, POWER, SCENARIOS, PROJECTS, MODEL, AID",
author = "Ting Wu and Dong-Ling Xu and Jian-Bo Yang",
year = "2017",
language = "English",
isbn = "9781538626801",
series = "IEEE International Conference on Control and Automation ICCA",
publisher = "IEEE",
pages = "822--827",
booktitle = "2017 13th Ieee International Conference On Control & Automation (icca)",
address = "United States",
}
