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Prediction and Evaluation of Dynamic Variations of the Thermal Environment in an Air-Conditioned Room Using Collaborative Simulation Method

Author

Listed:
  • Lin He

    (State Key Laboratory of Air-Conditioning Equipment and System Energy Conservation & GREE Electric Appliances, Inc. of Zhuhai, Zhuhai 519070, China)

  • Shunan Zhao

    (State Key Laboratory of Air-Conditioning Equipment and System Energy Conservation & GREE Electric Appliances, Inc. of Zhuhai, Zhuhai 519070, China)

  • Guowen Xu

    (School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Xin Wu

    (School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Junlong Xie

    (School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Shanshan Cai

    (School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

In this study, a collaborative simulation method is proposed to predict dynamic variations of the thermal environment in an air-conditioned room. The room thermal environment was predicted and analyzed by varying the structural and control parameters of the air conditioner considering the dynamic coupling effect. Connections and regularities were established between the applicable parameters and evaluation indices of the thermal environment. The simulation results demonstrated the interactions among the system structural parameters, control parameters, and the thermal environment. Within a certain parameter range, the evaporator structure exhibited a significant effect on temperature uniformity and vertical air temperature difference, followed by predicted mean vote (PMV) and draught rate (DR). The associated evaluation indices were sensitive to fin spacing, tube spacing, and tube outer diameter, in the same order, which were structural parameters of the evaporator. The effect of the air supply angle on the vertical air temperature difference was evident; however, its influence on the PMV, DR, and temperature uniformity did not indicate consistent variations.

Suggested Citation

  • Lin He & Shunan Zhao & Guowen Xu & Xin Wu & Junlong Xie & Shanshan Cai, 2021. "Prediction and Evaluation of Dynamic Variations of the Thermal Environment in an Air-Conditioned Room Using Collaborative Simulation Method," Energies, MDPI, vol. 14(17), pages 1-19, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5378-:d:624975
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    References listed on IDEAS

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    1. Fangyuan Zhang & Yuji Ryu, 2021. "Simulation Study on Indoor Air Distribution and Indoor Humidity Distribution of Three Ventilation Patterns Using Computational Fluid Dynamics," Sustainability, MDPI, vol. 13(7), pages 1-16, March.
    2. Nunes, T.K. & Vargas, J.V.C. & Ordonez, J.C. & Shah, D. & Martinho, L.C.S., 2015. "Modeling, simulation and optimization of a vapor compression refrigeration system dynamic and steady state response," Applied Energy, Elsevier, vol. 158(C), pages 540-555.
    3. Belen Moreno Santamaria & Fernando del Ama Gonzalo & Danielle Pinette & Roberto-Alonso Gonzalez-Lezcano & Benito Lauret Aguirregabiria & Juan A. Hernandez Ramos, 2020. "Application and Validation of a Dynamic Energy Simulation Tool: A Case Study with Water Flow Glazing Envelope," Energies, MDPI, vol. 13(12), pages 1-20, June.
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