Selection of the best refrigerant for replacing R134a in automobile air conditioning system using different MCDM methods: A comparative study

Case Studies in Thermal Engineering

Vinothkumar Sivalingam¹  Sung Chul Kim²  Rajendran Prabakaran³  Mohammad Salman⁴  Ganeshkumar Poongavanam⁴ 

[1] Corresponding author.;Department of Automobile Engineering, Kongu Engineering College, Erode, 638 060, India;Key Laboratory of High-efficiency and Clean Mechanical Manufacture, National Demonstration Center for Experimental Mechanical Engineering Education, School of Mechanical Engineering, Shandong University, Jinan, 250061, Shandong, China;School of Mechanical Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongbuk, 712-749, Republic of Korea;

关键词: Multi-criteria decision-making;    Refrigerant;    Automobile air conditioning;    TOPSIS;    MOORA;    EDAS;   

DOI  :  

来源: DOAJ

【 摘 要 】

This article describes in detail how optimizing performance studies were measured on the selection of low global warming potential (GWP) refrigerants for automobile air conditioning to obey the environmental protocols with the multi-criteria decision-making (MCDM) tools. Among 14 alternatives, three different types of MCDM tools are used in this study, i.e., the technique for order of preference by similarity to ideal solution (TOPSIS) approach, evaluation based on distance from average solution (EDAS), and multi-objective optimization based on ratio analysis (MOORA) for time consumption. For the data processing, the thermodynamic characteristics, environmental friendliness, and economic circumstances are optimized with the multiple response attributes, including the latent heat of vaporization, thermal conductivity, vapor pressure, saturated fluid density, specific heat capacity, dynamic viscosity, GWP, ozone depletion potential, and cost per pound. From MCDM techniques, the grade values and weights assigned by decision-makers are standardized into a comparable measure. Among the 14 refrigerants, R430A has been applied foremost in EDAS, TOPSIS, and MOORA methods with the highest closeness coefficient values of 0.786, 0.701, and 0.064, respectively. R-744 was found to be the worst refrigerant by both EDAS and TOPSIS methods, while R1233zd (E) was found to be the worst refrigerant by the MOORA method.

【 授权许可】

Unknown