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Thermodynamic model of a thermal storage air conditioning system with dynamic behavior

Author

Listed:
  • Fleming, Evan
  • Wen, Shaoyi
  • Shi, Li
  • da Silva, Alexandre K.

Abstract

A thermodynamic model was developed to predict transient behavior of a thermal storage system, using phase change materials (PCMs), for a novel electric vehicle climate conditioning application. The main objectives of the paper are to consider the system’s dynamic behavior, such as a dynamic air flow rate into the vehicle’s cabin, and to characterize the transient heat transfer process between the thermal storage unit and the vehicle’s cabin, while still maintaining accurate solution to the complex phase change heat transfer. The system studied consists of a heat transfer fluid circulating between either of the on-board hot and cold thermal storage units, which we refer to as thermal batteries, and a liquid–air heat exchanger that provides heat exchange with the incoming air to the vehicle cabin. Each thermal battery is a shell-and-tube configuration where a heat transfer fluid flows through parallel tubes, which are surrounded by PCM within a larger shell. The system model incorporates computationally inexpensive semi-analytic solution to the conjugated laminar forced convection and phase change problem within the battery and accounts for airside heat exchange using the Number of Transfer Units (NTUs) method for the liquid–air heat exchanger. Using this approach, we are able to obtain an accurate solution to the complex heat transfer problem within the battery while also incorporating the impact of the airside heat transfer on the overall system performance. The implemented model was benchmarked against a numerical study for a melting process and against full system experimental data for solidification using paraffin wax as the PCM. Through modeling, we demonstrate the importance of capturing the airside heat exchange impact on system performance, and we investigate system response to dynamic operating conditions, e.g., air recirculation.

Suggested Citation

  • Fleming, Evan & Wen, Shaoyi & Shi, Li & da Silva, Alexandre K., 2013. "Thermodynamic model of a thermal storage air conditioning system with dynamic behavior," Applied Energy, Elsevier, vol. 112(C), pages 160-169.
  • Handle: RePEc:eee:appene:v:112:y:2013:i:c:p:160-169
    DOI: 10.1016/j.apenergy.2013.05.058
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    References listed on IDEAS

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    2. Allouche, Yosr & Varga, Szabolcs & Bouden, Chiheb & Oliveira, Armando C., 2017. "Dynamic simulation of an integrated solar-driven ejector based air conditioning system with PCM cold storage," Applied Energy, Elsevier, vol. 190(C), pages 600-611.
    3. Li, Xinyi & Ma, Ting & Liu, Jun & Zhang, Hao & Wang, Qiuwang, 2018. "Pore-scale investigation of gravity effects on phase change heat transfer characteristics using lattice Boltzmann method," Applied Energy, Elsevier, vol. 222(C), pages 92-103.
    4. Farah, Sleiman & Liu, Ming & Saman, Wasim, 2019. "Numerical investigation of phase change material thermal storage for space cooling," Applied Energy, Elsevier, vol. 239(C), pages 526-535.
    5. Mosaffa, A.H. & Garousi Farshi, L., 2016. "Exergoeconomic and environmental analyses of an air conditioning system using thermal energy storage," Applied Energy, Elsevier, vol. 162(C), pages 515-526.
    6. Xie, Peng & Jin, Lu & Qiao, Geng & Lin, Cheng & Barreneche, Camila & Ding, Yulong, 2022. "Thermal energy storage for electric vehicles at low temperatures: Concepts, systems, devices and materials," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    7. Said, M.A. & Hassan, Hamdy, 2018. "Parametric study on the effect of using cold thermal storage energy of phase change material on the performance of air-conditioning unit," Applied Energy, Elsevier, vol. 230(C), pages 1380-1402.
    8. Wang, Le-Li & Wang, Liang-Bi & Zhang, Kun & Wang, Ye & Wang, Wei-Wei, 2022. "Prediction of the main characteristics of the shell and tube bundle latent heat thermal energy storage unit using a shell and single-tube unit," Applied Energy, Elsevier, vol. 323(C).
    9. Oh, Myoung Su & Ahn, Jae Hwan & Kim, Dong Woo & Jang, Dong Soo & Kim, Yongchan, 2014. "Thermal comfort and energy saving in a vehicle compartment using a localized air-conditioning system," Applied Energy, Elsevier, vol. 133(C), pages 14-21.
    10. Huang, Xianghui & Li, Kuining & Xie, Yi & Liu, Bin & Liu, Jiangyan & Liu, Zhaoming & Mou, Lunjie, 2022. "A novel multistage constant compressor speed control strategy of electric vehicle air conditioning system based on genetic algorithm," Energy, Elsevier, vol. 241(C).
    11. Hobold, Gustavo M. & da Silva, Alexandre K., 2017. "Critical phenomena and their effect on thermal energy storage in supercritical fluids," Applied Energy, Elsevier, vol. 205(C), pages 1447-1458.

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