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Application of TOPSIS method in evaluating the effects of supply vane angle of a task/ambient air conditioning system on energy utilization and thermal comfort

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

Abstract

In subtropical area, air conditioning (A/C) is widely used to provide a suitable thermal indoor environment. During operation, many parameters or configurations may influence the performance of the A/C system. Among them, the supply vane angle is an important factor, which can influence the energy saving and thermal comfort level in the occupied zone, according to previously related studies. However, it was revealed that it was difficult to get a balance between these two aspects. Therefore, based on the previous study, this further study was conducted aiming to determine the suitable angle to achieve the best performance. Hence, the technique for order preferences by similarity to an ideal solution (TOPSIS) method was used to calculate the combined performance considering energy saving and thermal comfort. Finally, the best supply vane angle of 30°, with the energy utilization coefficient (EUC) and draft risk (DR) at the values of 1.28 and 8.89, was obtained, at which the A/C system achieved a medium energy saving performance and a lower draft risk. It’s indicated that using TOPSIS method can help tackle with conflicting effects for A/C systems in buildings.

Suggested Citation

  • Mao, Ning & Song, Mengjie & Deng, Shiming, 2016. "Application of TOPSIS method in evaluating the effects of supply vane angle of a task/ambient air conditioning system on energy utilization and thermal comfort," Applied Energy, Elsevier, vol. 180(C), pages 536-545.
    • Handle: RePEc:eee:appene:v:180:y:2016:i:c:p:536-545
    DOI: 10.1016/j.apenergy.2016.08.011
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    1. Chow, W. K., 2001. "Numerical studies of airflows induced by mechanical ventilation and air-conditioning (MVAC) systems," Applied Energy, Elsevier, vol. 68(2), pages 135-159, February.
    2. Lam, Joseph C. & Tang, H.L. & Li, Danny H.W., 2008. "Seasonal variations in residential and commercial sector electricity consumption in Hong Kong," Energy, Elsevier, vol. 33(3), pages 513-523.
    3. Kusiak, Andrew & Li, Mingyang & Tang, Fan, 2010. "Modeling and optimization of HVAC energy consumption," Applied Energy, Elsevier, vol. 87(10), pages 3092-3102, October.
    4. Wan, K. S. Y. & Yik, F. W. H., 2004. "Building design and energy end-use characteristics of high-rise residential buildings in Hong Kong," Applied Energy, Elsevier, vol. 78(1), pages 19-36, May.
    5. 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.
    6. Cavallaro, Fausto, 2010. "Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated solar power (CSP) systems," Applied Energy, Elsevier, vol. 87(2), pages 496-503, February.
    7. Tso, Geoffrey K.F & Yau, Kelvin K.W, 2003. "A study of domestic energy usage patterns in Hong Kong," Energy, Elsevier, vol. 28(15), pages 1671-1682.
    8. Yu, Philip C.H. & Chow, W.K., 2001. "Energy use in commercial buildings in Hong Kong," Applied Energy, Elsevier, vol. 69(4), pages 243-255, August.
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    11. N. Aktaş & N. Demirel, 2021. "A hybrid framework for evaluating corporate sustainability using multi-criteria decision making," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 15591-15618, October.
    12. Yang, Kun & Zhu, Neng & Chang, Chen & Wang, Daquan & Yang, Shan & Ma, Shengming, 2018. "A methodological concept for phase change material selection based on multi-criteria decision making (MCDM): A case study," Energy, Elsevier, vol. 165(PB), pages 1085-1096.
    13. Song, Mengjie & Deng, Shiming & Dang, Chaobin & Mao, Ning & Wang, Zhihua, 2018. "Review on improvement for air source heat pump units during frosting and defrosting," Applied Energy, Elsevier, vol. 211(C), pages 1150-1170.
    14. Zhang, Sheng & Cheng, Yong & Oladokun, Majeed Olaide & Huan, Chao & Lin, Zhang, 2019. "Heat removal efficiency of stratum ventilation for air-side modulation," Applied Energy, Elsevier, vol. 238(C), pages 1237-1249.
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    16. Yan Long & Yilin Yang & Xiaohui Lei & Yu Tian & Youming Li, 2019. "Integrated Assessment Method of Emergency Plan for Sudden Water Pollution Accidents Based on Improved TOPSIS, Shannon Entropy and a Coordinated Development Degree Model," Sustainability, MDPI, vol. 11(2), pages 1-18, January.
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    18. Seyed Ali Rakhshan, 2017. "Efficiency ranking of decision making units in data envelopment analysis by using TOPSIS-DEA method," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(8), pages 906-918, August.

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