An Approach for Efficient Heat Source Selection in Long-Term Expansion Planning of Urban District Heating Systems

This study proposes an approach to selecting efficient heat sources in the context of long-term expansion planning for urban district heating systems. The approach includes two stages: synthesis and optimization. During the synthesis stage, potential heat source structures are generated using graph...

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Main Authors: Edeleva Olga, Mikheev Alexei, Stennikov Valery
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/34/e3sconf_mmmaosdphs2023_02002.pdf
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author Edeleva Olga
Mikheev Alexei
Stennikov Valery
author_facet Edeleva Olga
Mikheev Alexei
Stennikov Valery
author_sort Edeleva Olga
collection DOAJ
description This study proposes an approach to selecting efficient heat sources in the context of long-term expansion planning for urban district heating systems. The approach includes two stages: synthesis and optimization. During the synthesis stage, potential heat source structures are generated using graph grammars. In the optimization stage, the most effective combination of heat source equipment is selected based on minimum construction costs, heat network costs, and pollutant emissions fees. Iterative linking of these two stages provides a coherent solution for determining the structure and parameters of heat sources, for streamlining the process of performing computational studies. The proposed approach is a comprehensive and cost-effective method for selecting heat source structures for urban district heating systems.
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spelling doaj.art-7ac052d50ae3476fa29c24b1c019b2932023-06-20T09:04:34ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013970200210.1051/e3sconf/202339702002e3sconf_mmmaosdphs2023_02002An Approach for Efficient Heat Source Selection in Long-Term Expansion Planning of Urban District Heating SystemsEdeleva Olga0Mikheev Alexei1Stennikov Valery2Melentiev Energy Systems Institute SB RASMelentiev Energy Systems Institute SB RASMelentiev Energy Systems Institute SB RASThis study proposes an approach to selecting efficient heat sources in the context of long-term expansion planning for urban district heating systems. The approach includes two stages: synthesis and optimization. During the synthesis stage, potential heat source structures are generated using graph grammars. In the optimization stage, the most effective combination of heat source equipment is selected based on minimum construction costs, heat network costs, and pollutant emissions fees. Iterative linking of these two stages provides a coherent solution for determining the structure and parameters of heat sources, for streamlining the process of performing computational studies. The proposed approach is a comprehensive and cost-effective method for selecting heat source structures for urban district heating systems.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/34/e3sconf_mmmaosdphs2023_02002.pdf
spellingShingle Edeleva Olga
Mikheev Alexei
Stennikov Valery
An Approach for Efficient Heat Source Selection in Long-Term Expansion Planning of Urban District Heating Systems
E3S Web of Conferences
title An Approach for Efficient Heat Source Selection in Long-Term Expansion Planning of Urban District Heating Systems
title_full An Approach for Efficient Heat Source Selection in Long-Term Expansion Planning of Urban District Heating Systems
title_fullStr An Approach for Efficient Heat Source Selection in Long-Term Expansion Planning of Urban District Heating Systems
title_full_unstemmed An Approach for Efficient Heat Source Selection in Long-Term Expansion Planning of Urban District Heating Systems
title_short An Approach for Efficient Heat Source Selection in Long-Term Expansion Planning of Urban District Heating Systems
title_sort approach for efficient heat source selection in long term expansion planning of urban district heating systems
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/34/e3sconf_mmmaosdphs2023_02002.pdf
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