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Design of district heating networks through an integrated thermo-fluid dynamics and reliability modelling approach

Author

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  • Badami, Marco
  • Fonti, Antonio
  • Carpignano, Andrea
  • Grosso, Daniele

Abstract

This paper aims to describe a newly developed analysis tool for supporting District Heating Networks (DHNs) grid design and energy-reliability optimization procedures. The tool couples a Thermo-fluid dynamic Module to simulate the energy and physical behaviour of the analysed network, and a Monte Carlo Module to manage grid failure and repair processes: as a consequence, it is able to investigate both the fluid dynamics and the reliability aspects of the entire network, from the production plants to the final users.

Suggested Citation

  • Badami, Marco & Fonti, Antonio & Carpignano, Andrea & Grosso, Daniele, 2018. "Design of district heating networks through an integrated thermo-fluid dynamics and reliability modelling approach," Energy, Elsevier, vol. 144(C), pages 826-838.
    • Handle: RePEc:eee:energy:v:144:y:2018:i:c:p:826-838
    DOI: 10.1016/j.energy.2017.12.071
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    References listed on IDEAS

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    Cited by:

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    3. Babiarz, Bożena & Blokus, Agnieszka, 2020. "Dependency of technological lines in reliability analysis of heat production," Energy, Elsevier, vol. 211(C).
    4. Chicherin, Stanislav & Anvari-Moghaddam, Amjad, 2021. "Adjusting heat demands using the operational data of district heating systems," Energy, Elsevier, vol. 235(C).
    5. Manservigi, Lucrezia & Bahlawan, Hilal & Losi, Enzo & Morini, Mirko & Spina, Pier Ruggero & Venturini, Mauro, 2022. "A diagnostic approach for fault detection and identification in district heating networks," Energy, Elsevier, vol. 251(C).
    6. Stanislav Chicherin & Vladislav Mašatin & Andres Siirde & Anna Volkova, 2020. "Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy," Energies, MDPI, vol. 13(17), pages 1-15, September.
    7. Knudsen, Brage Rugstad & Rohde, Daniel & Kauko, Hanne, 2021. "Thermal energy storage sizing for industrial waste-heat utilization in district heating: A model predictive control approach," Energy, Elsevier, vol. 234(C).
    8. 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).
    9. Chicherin, Stanislav, 2020. "Methodology for analyzing operation data for optimum district heating (DH) system design: Ten-year data of Omsk, Russia," Energy, Elsevier, vol. 211(C).
    10. Ocłoń, Paweł & Nowak-Ocłoń, Marzena & Vallati, Andrea & Quintino, Alessandro & Corcione, Massimo, 2019. "Numerical determination of temperature distribution in heating network," Energy, Elsevier, vol. 183(C), pages 880-891.
    11. Wang, Yaran & Shi, Kaiyu & Zheng, Xuejing & You, Shijun & Zhang, Huan & Zhu, Chengzhi & Li, Liang & Wei, Shen & Ding, Chao & Wang, Na, 2020. "Thermo-hydraulic coupled analysis of meshed district heating networks based on improved breadth first search method," Energy, Elsevier, vol. 205(C).

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