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Optimal design of heating and cooling pipeline networks for residential distributed energy resource systems

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  • Clarke, Fiona
  • Dorneanu, Bogdan
  • Mechleri, Evgenia
  • Arellano-Garcia, Harvey

Abstract

This paper presents a mixed integer linear programming model for the optimal design of a distributed energy resource (DER) system that meets electricity, heating, cooling and domestic hot water demands of a neighbourhood. The objective is the optimal selection of the system components among different technologies, as well as the optimal design of the heat pipeline network to allow heat exchange between different nodes in the neighbourhood. More specifically, this work focuses on the design, interaction and operation of the pipeline network, assuming the operation and maintenance costs. Furthermore, thermal and cold storage, transfer of thermal energy, and pipelines for transfer of cold and hot water to meet domestic hot water demands are additions to previously published models. The application of the final model is investigated for a case-study of a neighbourhood of five houses located in the UK. The scalability of the model is tested by also applying the model to a neighbourhood of ten and twenty houses, respectively. Enabling exchange of thermal power between the neighbours, including for storage purposes, and using separate hot and cold pipeline networks reduces the cost and the environmental impact of the resulting DER.

Suggested Citation

  • Clarke, Fiona & Dorneanu, Bogdan & Mechleri, Evgenia & Arellano-Garcia, Harvey, 2021. "Optimal design of heating and cooling pipeline networks for residential distributed energy resource systems," Energy, Elsevier, vol. 235(C).
    • Handle: RePEc:eee:energy:v:235:y:2021:i:c:s0360544221016789
    DOI: 10.1016/j.energy.2021.121430
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    1. Sunderland, Keith M. & Narayana, Mahinsasa & Putrus, Ghanim & Conlon, Michael F. & McDonald, Steve, 2016. "The cost of energy associated with micro wind generation: International case studies of rural and urban installations," Energy, Elsevier, vol. 109(C), pages 818-829.
    2. Di Somma, M. & Yan, B. & Bianco, N. & Graditi, G. & Luh, P.B. & Mongibello, L. & Naso, V., 2017. "Multi-objective design optimization of distributed energy systems through cost and exergy assessments," Applied Energy, Elsevier, vol. 204(C), pages 1299-1316.
    3. Werner, Sven, 2016. "European space cooling demands," Energy, Elsevier, vol. 110(C), pages 148-156.
    4. Bayod-Rújula, Angel A., 2009. "Future development of the electricity systems with distributed generation," Energy, Elsevier, vol. 34(3), pages 377-383.
    5. Wouters, Carmen & Fraga, Eric S. & James, Adrian M., 2015. "An energy integrated, multi-microgrid, MILP (mixed-integer linear programming) approach for residential distributed energy system planning – A South Australian case-study," Energy, Elsevier, vol. 85(C), pages 30-44.
    6. Weber, C. & Shah, N., 2011. "Optimisation based design of a district energy system for an eco-town in the United Kingdom," Energy, Elsevier, vol. 36(2), pages 1292-1308.
    7. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9781107005198, January.
    8. Dahash, Abdulrahman & Ochs, Fabian & Janetti, Michele Bianchi & Streicher, Wolfgang, 2019. "Advances in seasonal thermal energy storage for solar district heating applications: A critical review on large-scale hot-water tank and pit thermal energy storage systems," Applied Energy, Elsevier, vol. 239(C), pages 296-315.
    9. Liu, Xuezhi & Yan, Zheng & Wu, Jianzhong, 2019. "Optimal coordinated operation of a multi-energy community considering interactions between energy storage and conversion devices," Applied Energy, Elsevier, vol. 248(C), pages 256-273.
    10. Mehleri, Eugenia D. & Sarimveis, Haralambos & Markatos, Nikolaos C. & Papageorgiou, Lazaros G., 2012. "A mathematical programming approach for optimal design of distributed energy systems at the neighbourhood level," Energy, Elsevier, vol. 44(1), pages 96-104.
    11. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9780521182935, January.
    12. van der Heijde, Bram & Vandermeulen, Annelies & Salenbien, Robbe & Helsen, Lieve, 2019. "Representative days selection for district energy system optimisation: a solar district heating system with seasonal storage," Applied Energy, Elsevier, vol. 248(C), pages 79-94.
    13. Adam, Alexandros & Fraga, Eric S. & Brett, Dan J.L., 2015. "Options for residential building services design using fuel cell based micro-CHP and the potential for heat integration," Applied Energy, Elsevier, vol. 138(C), pages 685-694.
    14. Omu, Akomeno & Choudhary, Ruchi & Boies, Adam, 2013. "Distributed energy resource system optimisation using mixed integer linear programming," Energy Policy, Elsevier, vol. 61(C), pages 249-266.
    15. Mariaud, Arthur & Acha, Salvador & Ekins-Daukes, Ned & Shah, Nilay & Markides, Christos N., 2017. "Integrated optimisation of photovoltaic and battery storage systems for UK commercial buildings," Applied Energy, Elsevier, vol. 199(C), pages 466-478.
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