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Modelling low-energy cooling strategies for underground railways

Author

Listed:
  • Thompson, J.A.
  • Maidment, G.G.
  • Missenden, J.F.

Abstract

A review is presented of cooling systems used in underground railways. Current cooling methods and potential advantages of using heat storage are presented. The analytical tools available to the engineer in assessing thermal capacitance and heat storage are discussed and the possibilities for improvements in the investigation of heat loads in underground railways are examined. This paper also assesses the most appropriate methodology for modelling low-energy cooling systems, with reference to their inclusion in the complex environment of an underground railway.

Suggested Citation

  • Thompson, J.A. & Maidment, G.G. & Missenden, J.F., 2006. "Modelling low-energy cooling strategies for underground railways," Applied Energy, Elsevier, vol. 83(10), pages 1152-1162, October.
    • Handle: RePEc:eee:appene:v:83:y:2006:i:10:p:1152-1162
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    Citations

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    Cited by:

    1. Ahn, Jonghoon & Cho, Soolyeon & Chung, Dae Hun, 2016. "Development of a statistical analysis model to benchmark the energy use intensity of subway stations," Applied Energy, Elsevier, vol. 179(C), pages 488-496.
    2. Yu, Yanzhe & You, Shijun & Zhang, Huan & Ye, Tianzhen & Wang, Yaran & Wei, Shen, 2021. "A review on available energy saving strategies for heating, ventilation and air conditioning in underground metro stations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    3. Qi Yuan & Hongqinq Zhu & Xiaolei Zhang & Baozhen Zhang & Xingkai Zhang, 2022. "An Integrated Quantitative Risk Assessment Method for Underground Engineering Fires," IJERPH, MDPI, vol. 19(24), pages 1-26, December.
    4. Yanzhe Yu & Shijun You & Shen Wei & Huan Zhang & Tianzhen Ye & Yaran Wang & Yanling Na, 2022. "Exploring the Applicability of Building Energy Performance Certification Systems in Underground Stations in China," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    5. Christian Suárez & Alfredo Iranzo & José Antonio Salva & Elvira Tapia & Gonzalo Barea & José Guerra, 2017. "Parametric Investigation Using Computational Fluid Dynamics of the HVAC Air Distribution in a Railway Vehicle for Representative Weather and Operating Conditions," Energies, MDPI, vol. 10(8), pages 1-13, July.

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