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

  • 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. EnablingThis 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.show moreshow less

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Metadaten
Author: Fiona Clarke, Bogdan DorneanuORCiD, Evgenia Mechleri, Harvey Arellano-GarciaORCiD
URL:https://www.sciencedirect.com/science/article/pii/S0360544221016789?via%3Dihub
DOI:https://doi.org/10.1016/j.energy.2021.121430
ISSN:1873-6785
ISSN:0360-5442
Title of the source (English):Energy
Document Type:Scientific journal article peer-reviewed
Language:English
Year of publication:2021
Volume/Year:235
Article number:121430
Faculty/Chair:Fakultät 3 Maschinenbau, Elektro- und Energiesysteme / FG Prozess- und Anlagentechnik
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