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Modelling and optimising the marginal expansion of an existing district heating network

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  • Delangle, Axelle
  • Lambert, Romain S.C.
  • Shah, Nilay
  • Acha, Salvador
  • Markides, Christos N.

Abstract

Although district heating networks have a key role to play in tackling greenhouse gas emissions associated with urban energy systems, little work has been carried out on district heating networks expansion in the literature. The present article develops a methodology to find the best district heating network expansion strategy under a set of given constraints. Using a mixed-integer linear programming approach, the model developed optimises the future energy centre operation by selecting the best mix of technologies to achieve a given purpose (e.g. cost savings maximisation or greenhouse gas emissions minimisation). Spatial expansion features are also considered in the methodology.

Suggested Citation

  • Delangle, Axelle & Lambert, Romain S.C. & Shah, Nilay & Acha, Salvador & Markides, Christos N., 2017. "Modelling and optimising the marginal expansion of an existing district heating network," Energy, Elsevier, vol. 140(P1), pages 209-223.
    • Handle: RePEc:eee:energy:v:140:y:2017:i:p1:p:209-223
    DOI: 10.1016/j.energy.2017.08.066
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    5. Aunedi, Marko & Pantaleo, Antonio Marco & Kuriyan, Kamal & Strbac, Goran & Shah, Nilay, 2020. "Modelling of national and local interactions between heat and electricity networks in low-carbon energy systems," Applied Energy, Elsevier, vol. 276(C).
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    10. Xu, Fei & Hao, Ling & Chen, Lei & Chen, Qun & Wei, Mingshan & Min, Yong, 2023. "Integrated heat and power optimal dispatch method considering the district heating networks flow rate regulation for wind power accommodation," Energy, Elsevier, vol. 263(PA).
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    12. Ronelly De Souza & Emanuele Nadalon & Melchiorre Casisi & Mauro Reini, 2022. "Optimal Sharing Electricity and Thermal Energy Integration for an Energy Community in the Perspective of 100% RES Scenario," Sustainability, MDPI, vol. 14(16), pages 1-39, August.
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    14. Wack, Yannick & Sollich, Martin & Salenbien, Robbe & Diriken, Jan & Baelmans, Martine & Blommaert, Maarten, 2024. "A multi-period topology and design optimization approach for district heating networks," Applied Energy, Elsevier, vol. 367(C).
    15. Dorotić, Hrvoje & Pukšec, Tomislav & Schneider, Daniel Rolph & Duić, Neven, 2021. "Evaluation of district heating with regard to individual systems – Importance of carbon and cost allocation in cogeneration units," Energy, Elsevier, vol. 221(C).
    16. Brown, Alastair & Foley, Aoife & Laverty, David & McLoone, Seán & Keatley, Patrick, 2022. "Heating and cooling networks: A comprehensive review of modelling approaches to map future directions," Energy, Elsevier, vol. 261(PB).
    17. Federica Leone & Francesco Reda & Ala Hasan & Hassam ur Rehman & Fausto Carmelo Nigrelli & Francesco Nocera & Vincenzo Costanzo, 2022. "Lessons Learned from Positive Energy District (PED) Projects: Cataloguing and Analysing Technology Solutions in Different Geographical Areas in Europe," Energies, MDPI, vol. 16(1), pages 1-28, December.
    18. Federica Leone & Ala Hasan & Francesco Reda & Hassam ur Rehman & Fausto Carmelo Nigrelli & Francesco Nocera & Vincenzo Costanzo, 2023. "Supporting Cities towards Carbon Neutral Transition through Territorial Acupuncture," Sustainability, MDPI, vol. 15(5), pages 1-31, February.
    19. 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.
    20. Groissböck, Markus, 2019. "Are open source energy system optimization tools mature enough for serious use?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 234-248.
    21. Weinand, Jann Michael & Kleinebrahm, Max & McKenna, Russell & Mainzer, Kai & Fichtner, Wolf, 2019. "Developing a combinatorial optimisation approach to design district heating networks based on deep geothermal energy," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    22. Dominković, Dominik Franjo & Stunjek, Goran & Blanco, Ignacio & Madsen, Henrik & Krajačić, Goran, 2020. "Technical, economic and environmental optimization of district heating expansion in an urban agglomeration," Energy, Elsevier, vol. 197(C).
    23. Boussaid, Taha & Rousset, François & Scuturici, Vasile-Marian & Clausse, Marc, 2024. "Enabling fast prediction of district heating networks transients via a physics-guided graph neural network," Applied Energy, Elsevier, vol. 370(C).
    24. Chakrabarti, Auyon & Proeglhoef, Rafael & Turu, Gonzalo Bustos & Lambert, Romain & Mariaud, Arthur & Acha, Salvador & Markides, Christos N. & Shah, Nilay, 2019. "Optimisation and analysis of system integration between electric vehicles and UK decentralised energy schemes," Energy, Elsevier, vol. 176(C), pages 805-815.
    25. Cai, Hanmin & Ziras, Charalampos & You, Shi & Li, Rongling & Honoré, Kristian & Bindner, Henrik W., 2018. "Demand side management in urban district heating networks," Applied Energy, Elsevier, vol. 230(C), pages 506-518.

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