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Simulation study on a three-evaporator air conditioning system for simultaneous indoor air temperature and humidity control

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  • Yan, Huaxia
  • Xia, Yudong
  • Deng, Shiming

Abstract

A multi-evaporator air conditioning (MEAC) system, which may also be called a multi-split air conditioning system or variable refrigerant flow system in the open literature, may be regarded as one of the energy conscious air conditioning applications. However, most MEAC systems currently focus on air temperature control only, so that the potential of using MEAC system in achieving energy saving has not yet been fully utilized. In this paper, based on the previous extensive related research on modeling and controlling both single evaporator air conditioning systems and MEAC systems, a capacity controller for a three-evaporator air conditioning (TEAC) system was developed. Results of simulative controllability tests for the capacity controller demonstrated that, indoor air temperature could be directly controlled using the capacity controller, but indoor relative humidity can be improved and maintained at acceptable levels. Based on the operating characteristics of the TEAC system, the capacity controller was further improved and thus an improved controller was developed. Two tests to verify the performances of the improved controller were conducted. The test results showed that simultaneous indoor air temperature and humidity control of a TEAC system could be achieved using the improved controller.

Suggested Citation

  • Yan, Huaxia & Xia, Yudong & Deng, Shiming, 2017. "Simulation study on a three-evaporator air conditioning system for simultaneous indoor air temperature and humidity control," Applied Energy, Elsevier, vol. 207(C), pages 294-304.
    • Handle: RePEc:eee:appene:v:207:y:2017:i:c:p:294-304
    DOI: 10.1016/j.apenergy.2017.05.125
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    References listed on IDEAS

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    1. Pollock, Daniel T. & Yang, Zehao & Wen, John T., 2015. "Dryout avoidance control for multi-evaporator vapor compression cycle cooling," Applied Energy, Elsevier, vol. 160(C), pages 266-285.
    2. Li, Yue Ming & Wu, Jing Yi & Shiochi, Sumio, 2010. "Experimental validation of the simulation module of the water-cooled variable refrigerant flow system under cooling operation," Applied Energy, Elsevier, vol. 87(5), pages 1513-1521, May.
    3. Meissner, José W. & Abadie, Marc O. & Moura, Luís M. & Mendonça, Kátia C. & Mendes, Nathan, 2014. "Performance curves of room air conditioners for building energy simulation tools," Applied Energy, Elsevier, vol. 129(C), pages 243-252.
    4. Yu, Xinqiao & Yan, Da & Sun, Kaiyu & Hong, Tianzhen & Zhu, Dandan, 2016. "Comparative study of the cooling energy performance of variable refrigerant flow systems and variable air volume systems in office buildings," Applied Energy, Elsevier, vol. 183(C), pages 725-736.
    5. Chowdhury, Ashfaque Ahmed & Rasul, M.G. & Khan, M.M.K., 2008. "Thermal-comfort analysis and simulation for various low-energy cooling-technologies applied to an office building in a subtropical climate," Applied Energy, Elsevier, vol. 85(6), pages 449-462, June.
    6. Li, Ning & Xia, Liang & Shiming, Deng & Xu, Xiangguo & Chan, Ming-Yin, 2012. "Dynamic modeling and control of a direct expansion air conditioning system using artificial neural network," Applied Energy, Elsevier, vol. 91(1), pages 290-300.
    7. Karunakaran, R. & Iniyan, S. & Goic, Ranko, 2010. "Energy efficient fuzzy based combined variable refrigerant volume and variable air volume air conditioning system for buildings," Applied Energy, Elsevier, vol. 87(4), pages 1158-1175, April.
    8. Fan, Hongming & Shao, Shuangquan & Tian, Changqing, 2014. "Performance investigation on a multi-unit heat pump for simultaneous temperature and humidity control," Applied Energy, Elsevier, vol. 113(C), pages 883-890.
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    Citations

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    Cited by:

    1. Zhang, Zi-Yang & Zhang, Chun-Lu & Xiao, Fu, 2020. "Energy-efficient decentralized control method with enhanced robustness for multi-evaporator air conditioning systems," Applied Energy, Elsevier, vol. 279(C).
    2. Jianwu Xiong & Linlin Chen & Yin Zhang, 2023. "Building Energy Saving for Indoor Cooling and Heating: Mechanism and Comparison on Temperature Difference," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    3. Chen, Yi & Yan, Huaxia & Yang, Hongxing, 2018. "Comparative study of on-off control and novel high-low control of regenerative indirect evaporative cooler (RIEC)," Applied Energy, Elsevier, vol. 225(C), pages 233-243.
    4. Lim, Dae Kyu & Ahn, Byoung Ha & Jeong, Ji Hwan, 2018. "Method to control an air conditioner by directly measuring the relative humidity of indoor air to improve the comfort and energy efficiency," Applied Energy, Elsevier, vol. 215(C), pages 290-299.
    5. Mei, Jun & Xia, Xiaohua & Song, Mengjie, 2018. "An autonomous hierarchical control for improving indoor comfort and energy efficiency of a direct expansion air conditioning system," Applied Energy, Elsevier, vol. 221(C), pages 450-463.

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