Title: Evaluation method for consumption capacity of renewable energy based on fuzzy DEA model

Authors: Qinghai Ye

Addresses: School of Economics and Management, Huzhou College, Huzhou, 313000, China

Abstract: Dedicated to optimising the evaluation effect of consumption capacity, this paper designs an evaluation method based on fuzzy DEA model. Firstly, for the renewable energy system, its consumption capacity is preliminarily calculated. Secondly, from the perspectives of power grid operation, sustainable development, and economic returns, an evaluation index system is constructed. Thirdly, the weight and membership degree of the indicators are calculated. Then, the initial DEA model is constructed and fuzzification to the model is applied, adjusting the initial model based on the fuzzy efficiency score of each decision-making unit. Finally, the preliminary calculation results of consumption capacity of renewable energy, indicator membership degree, and weight are used as input information for the model to obtain the final evaluation result. In the experiment, the minimum value of the determination coefficient of the evaluation results obtained by this method can also reach 0.95, indicating that this method has achieved the goal of improving evaluation accuracy.

Keywords: fuzzy DEA model; renewable energy; consumption capacity; capability assessment.

DOI: 10.1504/IJETM.2025.148996

International Journal of Environmental Technology and Management, 2025 Vol.28 No.4/5/6, pp.408 - 421

Received: 15 Jul 2024
Accepted: 02 May 2025
Published online: 07 Oct 2025 *

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