Title: Evaluation of energy utilisation efficiency of central air conditioning in large buildings based on entropy weight-cloud model

Authors: Qi Wu; Aina Qi; Guanglei Zhao

Addresses: Henan Vocational University of Science and Technology, Zhoukou 466000, China ' Shangqiu Institute of Technology, Shangqiu 476000, China ' Henan Vocational University of Science and Technology, Zhoukou 466000, China

Abstract: In the evaluation of the energy use efficiency of the existing large air conditioners, the problems of low accuracy and high time cost are presented. The structure and movement mechanism of air conditioners in large buildings are analysed to obtain efficiency evaluation results. The covariance matrix was used to obtain the evaluation index of energy utilisation potency in air conditioners. Through proportion of influencing factors, the function relationship between indoor temperature change and cooling load change was determined based on the distribution of cooling load in large buildings. The entropy weight-cloud evaluation model was built to complete the evaluation and analysis of utilisation potency. Through comparative analysis, we can see that error of energy evaluation for air conditioner is less than 3%, and that need time cost is small.

Keywords: entropy weight-cloud model; large building; central air conditioning; energy utilisation efficiency; consumption data; entropy weight method.

DOI: 10.1504/IJGEI.2022.121402

International Journal of Global Energy Issues, 2022 Vol.44 No.2/3, pp.198 - 216

Received: 06 Aug 2020
Accepted: 05 Dec 2020

Published online: 10 Mar 2022 *

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