Prioritization of Off-Grid Hybrid Renewable Energy Systems for Residential Communities in China Considering Public Participation with Basic Uncertain Linguistic Information

Limei Liu, Xinyun Chen, Yi Yang (), Junfeng Yang and Jie Chen
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Limei Liu: School of Advanced Interdisciplinary Studies, Hunan University of Technology and Business, Changsha 410205, China
Xinyun Chen: School of Advanced Interdisciplinary Studies, Hunan University of Technology and Business, Changsha 410205, China
Yi Yang: School of Advanced Interdisciplinary Studies, Hunan University of Technology and Business, Changsha 410205, China
Junfeng Yang: School of Advanced Interdisciplinary Studies, Hunan University of Technology and Business, Changsha 410205, China
Jie Chen: School of Advanced Interdisciplinary Studies, Hunan University of Technology and Business, Changsha 410205, China

Sustainability, 2023, vol. 15, issue 11, 1-30

Abstract: In recent years, the adoption of Hybrid Renewable Energy Systems (HRESs) is rapidly increasing globally due to their economic and environmental benefits. In order to ensure the smooth implementation of HRESs, it is important to systematically capture societal preferences. However, few studies focus on the effective integration of public opinion into energy planning decisions. In this study, a decision-making approach for public participation in HRES planning is proposed to optimize the configuration of off-grid HRESs. First, an HRES evaluation index system considering public participation was constructed; to address the situation where the public from different backgrounds may have limited and inconsistent understanding of indicators, the basic uncertain linguistic information (BULI) is introduced to express evaluations and associated reliability levels. The indicator weights were then determined through the evaluation of both the public and the expert opinions. Second, the BULI-EDAS decision approach was developed by extending the EDAS method to the BULI environment to optimize HRES planning. Finally, the proposed model was applied to identify the optimal configuration in rural China. The comparative analysis results show that the proposed method can avoid misunderstandings and facilitate realistic public judgments. The selected optimal plan has a standardized energy price of 0.126 USD/kWh and generates 45,305 kg CO 2 /year, resulting in the best overall performance. The proposed HRES planning method provides a practical approach for decision makers to conduct HRES planning in a public participation environment to promote clean energy transitions.

Keywords: hybrid renewable energy system; basic uncertain linguistic information; EDAS; public participation; rural electrification (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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