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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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    References listed on IDEAS

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    Cited by:

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    3. Maria Jebamalai, Joseph & Marlein, Kurt & Laverge, Jelle & Vandevelde, Lieven & van den Broek, Martijn, 2019. "An automated GIS-based planning and design tool for district heating: Scenarios for a Dutch city," Energy, Elsevier, vol. 183(C), pages 487-496.
    4. Olympios, Andreas V. & Pantaleo, Antonio M. & Sapin, Paul & Markides, Christos N., 2020. "On the value of combined heat and power (CHP) systems and heat pumps incentralised and distributed heating systems: Lessons from multi-fidelitymodelling approaches," Applied Energy, Elsevier, vol. 274(C).
    5. 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).
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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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