The advancements in technology have enhanced the precision of refrigerant choice. Making the right choice involves considering its physical characteristics along with environmental, economic, and factors as well as the other pertinent variables. The article discusses multi-criteria decision-making (MCDM) tools to optimize performance with refrigerants for automobile air conditioning. Three MCDM tools were used: AHP, SAW, and GRA. The distinctiveness of this research lies in its comprehensive method of refrigerant selection which combines MCDM tools that provide an objective assessment of various aspects. In addition, the use of Spearman correlation as well as Borda count methodologies provides solid proof of relationship, stability, and the ranking of alternatives as well as ensuring the validity of the outcomes. The study provides valuable insight into the selection of sustainable refrigerants, helping to advance green and economical cooling techniques. The weightage-normalized matrix shows that R430A is the optimal refrigerant. R430A is an extremely efficient performance element with the lowest GWP, Ozone depletion potential (ODP). This research not only provides valuable insights for selecting sustainable refrigerants but also underscores the potential of MCDM frameworks in advancing green, economical cooling technologies. Ultimately, this approach supports the broader adoption of environmentally responsible practices in the automotive industry, paving the way for future studies to further refine refrigerant selection models.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Optimum Eco-friendly Refrigerant Selection Using Multi-criteria Decision-Making Methods

  • Pasham Nithish Reddy,
  • Sivasakthivel Thangavel

摘要

The advancements in technology have enhanced the precision of refrigerant choice. Making the right choice involves considering its physical characteristics along with environmental, economic, and factors as well as the other pertinent variables. The article discusses multi-criteria decision-making (MCDM) tools to optimize performance with refrigerants for automobile air conditioning. Three MCDM tools were used: AHP, SAW, and GRA. The distinctiveness of this research lies in its comprehensive method of refrigerant selection which combines MCDM tools that provide an objective assessment of various aspects. In addition, the use of Spearman correlation as well as Borda count methodologies provides solid proof of relationship, stability, and the ranking of alternatives as well as ensuring the validity of the outcomes. The study provides valuable insight into the selection of sustainable refrigerants, helping to advance green and economical cooling techniques. The weightage-normalized matrix shows that R430A is the optimal refrigerant. R430A is an extremely efficient performance element with the lowest GWP, Ozone depletion potential (ODP). This research not only provides valuable insights for selecting sustainable refrigerants but also underscores the potential of MCDM frameworks in advancing green, economical cooling technologies. Ultimately, this approach supports the broader adoption of environmentally responsible practices in the automotive industry, paving the way for future studies to further refine refrigerant selection models.