Title: Energy efficiency evaluation method of refrigeration and air conditioning in intelligent buildings based on improved entropy value method

Authors: Min Wang

Addresses: Department of Civil and Architecture Engineering, Jiaozuo University, Jiaozuo 454000, China

Abstract: In order to improve the accuracy and precision of the evaluation of cold source energy efficiency, this paper proposes an evaluation method of cold source energy efficiency of refrigeration and air conditioning in intelligent buildings based on the improved entropy method. On the basis of analysing the energy efficiency ratio composition of refrigeration and air conditioning system, the calculation process of energy efficiency ratio is refined by using refrigeration energy efficiency transport function. Then the AHM improved entropy method was used to optimise the weight ratio process, and the efficient and accurate evaluation of the cooling source energy efficiency of refrigeration and air conditioning was completed by adjusting the weight ratio. The experimental results show that the average evaluation accuracy of the proposed method is 95.9% and the average evaluation accuracy is 96.3%, which proves that the proposed method achieves the design expectation.

Keywords: improved entropy method; operational energy efficiency ratio; intelligent building; refrigeration and air conditioning; evaluation of energy efficiency of cold source.

DOI: 10.1504/IJGEI.2023.127662

International Journal of Global Energy Issues, 2023 Vol.45 No.1, pp.42 - 52

Received: 21 May 2021
Accepted: 29 Sep 2021
Published online: 13 Dec 2022 *