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Optimizing the operation strategy of a combined cooling, heating and power system based on energy storage technology

Energy storage technology is the key to achieving a carbon emission policy. The purpose of the paper is to improve the overall performance of the combined cooling, heating and power-ground source heat pump (CCHP-GSHP) system by the battery. A new operation strategy (the two-point operation) is propo...

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Autores principales: Zhang, Yu, Deng, Yan, Zheng, Zimin, Yao, Yao, Liu, Yicai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941197/
https://www.ncbi.nlm.nih.gov/pubmed/36804994
http://dx.doi.org/10.1038/s41598-023-29938-6
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author Zhang, Yu
Deng, Yan
Zheng, Zimin
Yao, Yao
Liu, Yicai
author_facet Zhang, Yu
Deng, Yan
Zheng, Zimin
Yao, Yao
Liu, Yicai
author_sort Zhang, Yu
collection PubMed
description Energy storage technology is the key to achieving a carbon emission policy. The purpose of the paper is to improve the overall performance of the combined cooling, heating and power-ground source heat pump (CCHP-GSHP) system by the battery. A new operation strategy (the two-point operation) is proposed by controlling the power generation unit work. The power generation unit has two operation modes of non-operation and rated efficiency operation by the storage electricity battery. The new operation strategy is compared with the traditional CCHP-GSHP that without a battery. The optimization goals include the primary energy saving ratio, the reduction ratio of carbon dioxide emissions, and the annual total cost saving ratio. The independent GSHP system is used as a reference system. Multipopulation genetic algorithms are selected to achieve the problem of optimization. A hotel building is selected for a case study. The optimal configuration of the coupling system is computed following the electric load strategy. Finally, the results show that the CCHP-GSHP system has a better performance under the new operation strategy compared with the traditional CCHP-GSHP (the primary energy saving ratio increases by 5.5%; the annual carbon dioxide emission reduction ratio increases by 1%; the annual total cost reduction ratio increases by 5.1%). This paper provides reference and suggestions for the integration and operation strategy of CCHP-GSHP in the future.
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spelling pubmed-99411972023-02-22 Optimizing the operation strategy of a combined cooling, heating and power system based on energy storage technology Zhang, Yu Deng, Yan Zheng, Zimin Yao, Yao Liu, Yicai Sci Rep Article Energy storage technology is the key to achieving a carbon emission policy. The purpose of the paper is to improve the overall performance of the combined cooling, heating and power-ground source heat pump (CCHP-GSHP) system by the battery. A new operation strategy (the two-point operation) is proposed by controlling the power generation unit work. The power generation unit has two operation modes of non-operation and rated efficiency operation by the storage electricity battery. The new operation strategy is compared with the traditional CCHP-GSHP that without a battery. The optimization goals include the primary energy saving ratio, the reduction ratio of carbon dioxide emissions, and the annual total cost saving ratio. The independent GSHP system is used as a reference system. Multipopulation genetic algorithms are selected to achieve the problem of optimization. A hotel building is selected for a case study. The optimal configuration of the coupling system is computed following the electric load strategy. Finally, the results show that the CCHP-GSHP system has a better performance under the new operation strategy compared with the traditional CCHP-GSHP (the primary energy saving ratio increases by 5.5%; the annual carbon dioxide emission reduction ratio increases by 1%; the annual total cost reduction ratio increases by 5.1%). This paper provides reference and suggestions for the integration and operation strategy of CCHP-GSHP in the future. Nature Publishing Group UK 2023-02-20 /pmc/articles/PMC9941197/ /pubmed/36804994 http://dx.doi.org/10.1038/s41598-023-29938-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zhang, Yu
Deng, Yan
Zheng, Zimin
Yao, Yao
Liu, Yicai
Optimizing the operation strategy of a combined cooling, heating and power system based on energy storage technology
title Optimizing the operation strategy of a combined cooling, heating and power system based on energy storage technology
title_full Optimizing the operation strategy of a combined cooling, heating and power system based on energy storage technology
title_fullStr Optimizing the operation strategy of a combined cooling, heating and power system based on energy storage technology
title_full_unstemmed Optimizing the operation strategy of a combined cooling, heating and power system based on energy storage technology
title_short Optimizing the operation strategy of a combined cooling, heating and power system based on energy storage technology
title_sort optimizing the operation strategy of a combined cooling, heating and power system based on energy storage technology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941197/
https://www.ncbi.nlm.nih.gov/pubmed/36804994
http://dx.doi.org/10.1038/s41598-023-29938-6
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