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Computational performance analysis of overheating mitigation measures in parked vehicles

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  • Soulios, V.
  • Loonen, R.C.G.M.
  • Metavitsiadis, V.
  • Hensen, J.L.M.

Abstract

Parked vehicles have the tendency to overheat quickly. This can lead to a negative impact on the thermal comfort of the driver and its passengers, as well as intensive use of air conditioning systems, and thus fuel consumption of the vehicle or, in the case of electric mobility, a reduced cruising range. In the search for effective measures to mitigate this effect, important guidance can be provided by the field of sustainable building design. On the one hand, inspiration can come from design strategies in terms of shapes and advanced cover materials, but this paper advocates that this can also pertain to the simulation-based design support tools that are used by building engineers. This paper first presents the results of a thermal soak test, and then uses this data to demonstrate the suitability of the building performance simulation tool EnergyPlus for predicting the thermal behavior of parked vehicles. This fit-for-purpose validated model is used to evaluate the performance of three overheating mitigation measures for two car models in two climates. The results show that spectrally selective glazing can reduce the cabin air temperature by 12.5 °C and when combined with solar reflective opaque surfaces, the reduction of cabin air temperature can reach 23.8 °C. Increased use of building performance simulation in the automotive domain can help to further optimize the overheating reduction potential of cars.

Suggested Citation

  • Soulios, V. & Loonen, R.C.G.M. & Metavitsiadis, V. & Hensen, J.L.M., 2018. "Computational performance analysis of overheating mitigation measures in parked vehicles," Applied Energy, Elsevier, vol. 231(C), pages 635-644.
    • Handle: RePEc:eee:appene:v:231:y:2018:i:c:p:635-644
    DOI: 10.1016/j.apenergy.2018.09.149
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    References listed on IDEAS

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    1. Pan, Hongye & Qi, Lingfei & Zhang, Xingtian & Zhang, Zutao & Salman, Waleed & Yuan, Yanping & Wang, Chunbai, 2017. "A portable renewable solar energy-powered cooling system based on wireless power transfer for a vehicle cabin," Applied Energy, Elsevier, vol. 195(C), pages 334-343.
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    4. Loonen, R.C.G.M. & Trčka, M. & Cóstola, D. & Hensen, J.L.M., 2013. "Climate adaptive building shells: State-of-the-art and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 483-493.
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    Cited by:

    1. Zheming Tong & Hao Liu, 2020. "Modeling In-Vehicle VOCs Distribution from Cabin Interior Surfaces under Solar Radiation," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    2. Penning, Andrew K. & Weibel, Justin A., 2023. "Assessing the influence of glass properties on cabin solar heating and range of an electric vehicle using a comprehensive system model," Applied Energy, Elsevier, vol. 339(C).
    3. Xiaoxiao Ding & Weirong Zhang & Zhen Yang & Jiajun Wang & Lingtao Liu & Dalong Gao & Dongdong Guo & Jianyin Xiong, 2022. "Effect of Open-Window Gaps on the Thermal Environment inside Vehicles Exposed to Solar Radiation," Energies, MDPI, vol. 15(17), pages 1-18, September.

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