4.6 Article

Fusion of interval-valued neutrosophic sets and financial assessment for optimal renewable energy portfolios with uncertainties

期刊

ENERGY & ENVIRONMENT
卷 33, 期 4, 页码 783-808

出版社

SAGE PUBLICATIONS LTD
DOI: 10.1177/0958305X211019363

关键词

Sustainable energy; renewable energy portfolio; financial assessment; renewable energy investment; multi-segment judgment model; multicriteria decision-making model

资金

  1. Taiwan Building Technology Center from the Featured Areas Research Center Program by the Ministry of Education in Taiwan [107P011]
  2. Department of Industrial Management of National Taiwan University of Science and Technology

向作者/读者索取更多资源

This paper proposes a novel approach to analyze quantitative and qualitative factors of renewable energy by integrating financial and fuzzy models. Different groups prioritize environmental, economic, and technological criteria differently, with small-scale onshore wind energy, large-scale onshore wind energy, and solar energy identified as the best options for Government, Investor, and User, respectively.
Renewable energy has been actively researched and developed in many countries to replace the conventional energy resources that come from fossil fuels. As social and environmental awareness of the renewable energy has grown, it is essential to address both quantitative factors and qualitative factors in determination of the optimal renewable energy portfolio. This paper proposes a novel approach to integrate a financial model and a fuzzy model to analyze both quantitative and qualitative factors. The financial model is utilized to calculate the quantitative factors, thereby assisting experts make judgments more accurately in the fuzzy model. The fuzzy model is utilized to evaluate the qualitative factors based on the expert judgements. Moreover, this paper proposes multi-segment judgment model that analyzes the evaluation of different groups, including government, investor and user groups. The results show that each group has different priority order. For example, the highest-priority factor of Government, Investor and User is environmental (with a score of 0.665), economic (with a score of 0.854), and technological criteria (with a score of 0.771), respectively. The results also indicated that small-scale onshore wind energy, large-scale onshore wind energy and solar energy is the best option for Government, Investor and User, respectively.

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