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Comparative studies on using RSM and TOPSIS methods to optimize residential air conditioning systems

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  • Mao, Ning
  • Song, Mengjie
  • Pan, Dongmei
  • Deng, Shiming

Abstract

The operating parameters of task/ambient air conditioning (TAC) systems including supply air temperature (ts) and air flow rate (Qs) were reported to have critical effects on energy savings and thermally comfortable environment. Due to the existing contradictions between these two aspects, a multi-objective study should be carried out to realize consuming minimum energy and at the same time to guarantee the thermal comfort level at suitable range. Two optimization methods were adopted in this study, one is the response surface methodology (RSM), and the other is the technique for order preferences by similarity to an ideal solution (TOPSIS) method. The objective of this study was to compare the pros and cons of these two methods. It was found that the optimum operating parameters obtained using RSM method were 26 °C (ts) and 28.94 l/s (Qs), corresponding to energy consumption (Qc) of 46.89 W and PMV of 0.11; while that obtained using TOPSIS method were 26 °C (ts) and 30 l/s (Qs), corresponding to energy consumption (Qc) of 49.64 W and PMV of 0.09. Furthermore, compared with TOPSIS method, there were only 9 cases used in RSM method saving 74% of computation cost.

Suggested Citation

  • Mao, Ning & Song, Mengjie & Pan, Dongmei & Deng, Shiming, 2018. "Comparative studies on using RSM and TOPSIS methods to optimize residential air conditioning systems," Energy, Elsevier, vol. 144(C), pages 98-109.
    • Handle: RePEc:eee:energy:v:144:y:2018:i:c:p:98-109
    DOI: 10.1016/j.energy.2017.11.160
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    References listed on IDEAS

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    1. Wang, Endong, 2015. "Benchmarking whole-building energy performance with multi-criteria technique for order preference by similarity to ideal solution using a selective objective-weighting approach," Applied Energy, Elsevier, vol. 146(C), pages 92-103.
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