Temperature and flow rates dynamics in a district heating (DH) network fed by a combined heat-and-power (CHP) plant
Research focus (problem description, short background):: The energy efficiency of a district heating (DH) system can be improved by fine-tuning supply and return temperatures and flow rates without need for invasive renovation of the end user heating systems. Research methods:: We employ a correlati...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-10-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484721007423 |
| _version_ | 1818987012632346624 |
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| author | Stanislav Chicherin Andrey Zhuikov Mikhail Kolosov Lyazzat Junussova Madina Aliyarova Aliya Yelemanova |
| author_facet | Stanislav Chicherin Andrey Zhuikov Mikhail Kolosov Lyazzat Junussova Madina Aliyarova Aliya Yelemanova |
| author_sort | Stanislav Chicherin |
| collection | DOAJ |
| description | Research focus (problem description, short background):: The energy efficiency of a district heating (DH) system can be improved by fine-tuning supply and return temperatures and flow rates without need for invasive renovation of the end user heating systems. Research methods:: We employ a correlation coefficient to examine the relationship between the local supply temperature and the use of heat; research relies on data hourly heat generation records from each heat generation facility in the DH system of Omsk, Russia, 2016–2017. Key research results/findings:: The correlation declines the further we go from winter. Firstly, the relationship between the transition states and the outside temperature results from the relationship between external conditionings and heat parameters in DH. Secondly, both the energy consumption and the supply temperature are affected by the infrastructure, other weather conditions, and energy price; they are also highly dependent on consumer behavior, which is arbitrary, heterogeneous, and interdependent. Thirdly, the regional heating load is influenced by the characteristics of a building cluster. Although nearly all DH plants have a control system in place, we find that human factor jeopardizes the performance of such systems. Main conclusions and recommendations:: To generalize these results to other systems, we emphasize that the effective diffusion coefficients and effective heat-loss coefficients are influenced by the thermal dynamics in the network and change on typical time scale (one year), hence their uncertainty. This study has produced a technique for visualizing the relationship that exists in a DH system between supply temperature and heat consumption; this technique is expected to contribute to the dynamic modeling, control, and planning of future integrated energy systems. The load profiles are dynamic; a thermal storage could be used to shift the timing of heating loads to minimize the flow through DH networks. |
| first_indexed | 2024-12-20T18:59:55Z |
| format | Article |
| id | doaj.art-26fc8f40d9cd4734a414641b40555412 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-12-20T18:59:55Z |
| publishDate | 2021-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-26fc8f40d9cd4734a414641b405554122022-12-21T19:29:25ZengElsevierEnergy Reports2352-48472021-10-017327333Temperature and flow rates dynamics in a district heating (DH) network fed by a combined heat-and-power (CHP) plantStanislav Chicherin0Andrey Zhuikov1Mikhail Kolosov2Lyazzat Junussova3Madina Aliyarova4Aliya Yelemanova5Omsk State Transport University (OSTU), 644046, 35, Marx avenue, Omsk, Russia; Corresponding author.Siberian Federal University, 660041, Svobodny Ave. 79, Krasnoyarsk, RussiaSiberian Federal University, 660041, Svobodny Ave. 79, Krasnoyarsk, RussiaNon-profit JSC Almaty University of Power Engineering and Telecommunications, Almaty, KazakhstanNon-profit JSC Almaty University of Power Engineering and Telecommunications, Almaty, KazakhstanNon-profit JSC Almaty University of Power Engineering and Telecommunications, Almaty, KazakhstanResearch focus (problem description, short background):: The energy efficiency of a district heating (DH) system can be improved by fine-tuning supply and return temperatures and flow rates without need for invasive renovation of the end user heating systems. Research methods:: We employ a correlation coefficient to examine the relationship between the local supply temperature and the use of heat; research relies on data hourly heat generation records from each heat generation facility in the DH system of Omsk, Russia, 2016–2017. Key research results/findings:: The correlation declines the further we go from winter. Firstly, the relationship between the transition states and the outside temperature results from the relationship between external conditionings and heat parameters in DH. Secondly, both the energy consumption and the supply temperature are affected by the infrastructure, other weather conditions, and energy price; they are also highly dependent on consumer behavior, which is arbitrary, heterogeneous, and interdependent. Thirdly, the regional heating load is influenced by the characteristics of a building cluster. Although nearly all DH plants have a control system in place, we find that human factor jeopardizes the performance of such systems. Main conclusions and recommendations:: To generalize these results to other systems, we emphasize that the effective diffusion coefficients and effective heat-loss coefficients are influenced by the thermal dynamics in the network and change on typical time scale (one year), hence their uncertainty. This study has produced a technique for visualizing the relationship that exists in a DH system between supply temperature and heat consumption; this technique is expected to contribute to the dynamic modeling, control, and planning of future integrated energy systems. The load profiles are dynamic; a thermal storage could be used to shift the timing of heating loads to minimize the flow through DH networks.http://www.sciencedirect.com/science/article/pii/S2352484721007423ConsumptionSupplyRelationshipControlFlow |
| spellingShingle | Stanislav Chicherin Andrey Zhuikov Mikhail Kolosov Lyazzat Junussova Madina Aliyarova Aliya Yelemanova Temperature and flow rates dynamics in a district heating (DH) network fed by a combined heat-and-power (CHP) plant Energy Reports Consumption Supply Relationship Control Flow |
| title | Temperature and flow rates dynamics in a district heating (DH) network fed by a combined heat-and-power (CHP) plant |
| title_full | Temperature and flow rates dynamics in a district heating (DH) network fed by a combined heat-and-power (CHP) plant |
| title_fullStr | Temperature and flow rates dynamics in a district heating (DH) network fed by a combined heat-and-power (CHP) plant |
| title_full_unstemmed | Temperature and flow rates dynamics in a district heating (DH) network fed by a combined heat-and-power (CHP) plant |
| title_short | Temperature and flow rates dynamics in a district heating (DH) network fed by a combined heat-and-power (CHP) plant |
| title_sort | temperature and flow rates dynamics in a district heating dh network fed by a combined heat and power chp plant |
| topic | Consumption Supply Relationship Control Flow |
| url | http://www.sciencedirect.com/science/article/pii/S2352484721007423 |
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