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Experimental study on road deicing using circulated heating produced from geothermal fluid

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  • Chen, Zhi
  • Xu, Hao
  • Feng, Di
  • Wang, Jingmei
  • Xiao, Henglin
  • Tian, Yuhan

Abstract

In this study, a ground source heat pump was employed as an energy source to perform preheating and deicing tests on asphalt pavement using hydraulic heating.The influence of different water temperature and ambient temperature on the temperature distribution of road system, energy consumption of heat pump system, energy consumption ratio between road system and heat pump system (COPsys) in preheating test was studied, and the influence of road temperature and deicing performance (qice) in deicing test was studied. The results show that during the preheating phase, increasing the water temperature from 40 °C to 50 °C resulted in COPsys drop of 46 %, and when the ambient temperature is reduced from −5 °C to −10 °C, resulted in a COPsys increase of 26 %. In the de-icing experimental, a higher critical temperature for de-icing indicates more energy stored at the surface, and greater temperature fluctuations during the melting phase indicate better ice melting effects. Lowering the ambient temperature increases the critical de-icing temperature and reduces temperature fluctuations during the melting phase. Increasing the water temperature increases the critical de-icing temperature and temperature fluctuations during the melting phase.

Suggested Citation

  • Chen, Zhi & Xu, Hao & Feng, Di & Wang, Jingmei & Xiao, Henglin & Tian, Yuhan, 2024. "Experimental study on road deicing using circulated heating produced from geothermal fluid," Renewable Energy, Elsevier, vol. 235(C).
    • Handle: RePEc:eee:renene:v:235:y:2024:i:c:s0960148124011510
    DOI: 10.1016/j.renene.2024.121083
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    References listed on IDEAS

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    1. Xu, Huining & Shi, Hao & Tan, Yiqiu & Ye, Qing & Liu, Xiujie, 2022. "Modeling and assessment of operation economic benefits for hydronic snow melting pavement system," Applied Energy, Elsevier, vol. 326(C).
    2. Shi, Hao & Xu, Huining & Tan, Yiqiu & Li, Qiang & Yi, Wei, 2022. "Multi-objective optimization of operation strategy in snow melting system for airfield runway using genetic algorithm: A case study in Beijing Daxing International Airport," Renewable Energy, Elsevier, vol. 201(P2), pages 100-116.
    3. Zhang, Chi & Shi, Hao & Xie, Yongjiang & Li, Shuming & Liu, Jing & Tan, Yiqiu & Xu, Huining, 2024. "Analysis of temperature stress and critical heating temperature for hydronic airport pavement," Renewable Energy, Elsevier, vol. 229(C).
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