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

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.

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Publication Details

Journal
International Journal of Environmental Technology and Management
Published
2025-01-01
DOI
https://doi.org/10.1504/ijetm.2025.148996
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

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

Qinghai Ye
International Journal of Environmental Technology and Management
Power Systems and Renewable Energy
article

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

Qinghai Ye
article en

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.

International Journal of Environmental Technology and ManagementVol. 28(4/5/6)
Huzhou Normal University (CN)
Openalex Percentile: Top 69%
Power Systems and Renewable Energy
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Evaluation method for consumption capacity of renewable energy based on fuzzy DEA model — Qinghai Ye · International Journal of Environmental Technology and Management (2025) | TGRS Research Map | TGRS