Title: Risk evaluation method of renewable energy investment based on fuzzy analytic hierarchy process

Authors: Weina Li; Zhinan Cui; Xiaochun Tang

Addresses: College of Humanities & Information, Changchun University of Technology, Changchun, Jilin, China ' College of Humanities & Information, Changchun University of Technology, Changchun, Jilin, China ' College of Humanities & Information, Changchun University of Technology, Changchun, Jilin, China

Abstract: Aiming at the problems of large error, long evaluation time and incomplete evaluation results of traditional methods, a risk evaluation method of renewable energy investment based on fuzzy analytic hierarchy process is proposed. Firstly, based on the theory of system dynamics, this paper analyses the risk factors of renewable energy investment. Secondly, the set of risk evaluation index factors and evaluation criteria are established. Thirdly, the evaluation index system is constructed, and the weight matrix is established by using the entropy weight method to calculate the specific weight of the evaluation index. Finally, the risk evaluation model of renewable energy investment based on fuzzy analytic hierarchy process is established to realise the fuzzy comprehensive evaluation of renewable energy investment risk. The experimental results show that the calculation error of this method is small and the evaluation time is short, it can realise the comprehensive evaluation of risk.

Keywords: fuzzy analytic hierarchy process; renewable energy; risk assessment; system dynamics; entropy weight method.

DOI: 10.1504/IJGEI.2023.129508

International Journal of Global Energy Issues, 2023 Vol.45 No.2, pp.153 - 165

Received: 11 Feb 2022
Accepted: 31 May 2022
Published online: 10 Mar 2023 *

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