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Experimental validation of the simulation module of the water-cooled variable refrigerant flow system under cooling operation

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  • Li, Yue Ming
  • Wu, Jing Yi
  • Shiochi, Sumio

Abstract

On the basis of EnergyPlus's codes, the catalogue and performance parameters from some related companies, a special simulation module for variable refrigerant flow system with a water-cooled condenser (water-cooled VRF) was developed and embedded in the software of EnergyPlus, the building energy simulation program. To evaluate the energy performance of the system and the accuracy of the simulation module, the measurement of the water-cooled VRF is built in Dalian, China. After simulation and comparison, some conclusions can be drawn. The mean of the absolute value of the daily error in the 9Â days is 11.3% for cooling capacity while the one for compressor power is 15.7%. At the same time, the accuracy of the power simulation strongly depends on the accuracy of the cooling capacity simulation.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:87:y:2010:i:5:p:1513-1521
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    References listed on IDEAS

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    1. Loutzenhiser, Peter G. & Maxwell, Gregory M. & Manz, Heinrich, 2007. "An empirical validation of the daylighting algorithms and associated interactions in building energy simulation programs using various shading devices and windows," Energy, Elsevier, vol. 32(10), pages 1855-1870.
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    2. 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.
    3. 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.
    4. Gilani, Hooman Azad & Hoseinzadeh, Siamak & Karimi, Hirou & Karimi, Ako & Hassanzadeh, Amir & Garcia, Davide Astiaso, 2021. "Performance analysis of integrated solar heat pump VRF system for the low energy building in Mediterranean island," Renewable Energy, Elsevier, vol. 174(C), pages 1006-1019.
    5. Ascione, Fabrizio & Bellia, Laura & Capozzoli, Alfonso, 2013. "A coupled numerical approach on museum air conditioning: Energy and fluid-dynamic analysis," Applied Energy, Elsevier, vol. 103(C), pages 416-427.
    6. Li, Guannan & Hu, Yunpeng & Chen, Huanxin & Li, Haorong & Hu, Min & Guo, Yabin & Liu, Jiangyan & Sun, Shaobo & Sun, Miao, 2017. "Data partitioning and association mining for identifying VRF energy consumption patterns under various part loads and refrigerant charge conditions," Applied Energy, Elsevier, vol. 185(P1), pages 846-861.
    7. Jing Zhao & Yu Shan, 2020. "A Fuzzy Control Strategy Using the Load Forecast for Air Conditioning System," Energies, MDPI, vol. 13(3), pages 1-17, January.

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