Soil thermal conductivity prediction for district heating pre-insulated pipeline in operation
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DOI: 10.1016/j.energy.2012.06.037
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- Dalla Rosa, A. & Christensen, J.E., 2011. "Low-energy district heating in energy-efficient building areas," Energy, Elsevier, vol. 36(12), pages 6890-6899.
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Cited by:
- Guelpa, Elisa, 2021. "Impact of thermal masses on the peak load in district heating systems," Energy, Elsevier, vol. 214(C).
- Perpar, Matjaž & Rek, Zlatko, 2020. "Soil temperature gradient as a useful tool for small water leakage detection from district heating pipes in buried channels," Energy, Elsevier, vol. 201(C).
- Tsilingiridis, G. & Papakostas, K., 2014. "Investigating the relationship between air and ground temperature variations in shallow depths in northern Greece," Energy, Elsevier, vol. 73(C), pages 1007-1016.
- Bertrand, Alexandre & Mian, Alberto & Kantor, Ivan & Aggoune, Riad & Maréchal, François, 2019. "Regional waste heat valorisation: A mixed integer linear programming method for energy service companies," Energy, Elsevier, vol. 167(C), pages 454-468.
- Alla Yu. Vladova, 2022. "Remote Geotechnical Monitoring of a Buried Oil Pipeline," Mathematics, MDPI, vol. 10(11), pages 1-14, May.
- Fester, Jakob & Østergaard, Peter Friis & Bentsen, Fredrik & Nielsen, Brian Kongsgaard, 2023. "A data-driven method for heat loss estimation from district heating service pipes using heat meter- and GIS data," Energy, Elsevier, vol. 277(C).
- Wang, Yaran & You, Shijun & Zhang, Huan & Zheng, Xuejing & Zheng, Wandong & Miao, Qingwei & Lu, Gang, 2017. "Thermal transient prediction of district heating pipeline: Optimal selection of the time and spatial steps for fast and accurate calculation," Applied Energy, Elsevier, vol. 206(C), pages 900-910.
- Li, Yu & Rezgui, Yacine & Zhu, Hanxing, 2017. "District heating and cooling optimization and enhancement – Towards integration of renewables, storage and smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 281-294.
- Matjaž Perpar & Zlatko Rek, 2021. "The Ability of a Soil Temperature Gradient-Based Methodology to Detect Leaks from Pipelines in Buried District Heating Channels," Energies, MDPI, vol. 14(18), pages 1-13, September.
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Keywords
District heating; Heat loss; Measurements; Numerical simulation; Soil thermal conductivity prediction;All these keywords.
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