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Research on CCHP Design and Optimal Scheduling Based on Concentrating Solar Power, Compressed Air Energy Storage, and Absorption Refrigeration
[Image: see text] In response to the country’s “carbon neutrality, peak carbon dioxide emissions” task, this paper constructs an integrated energy system based on clean energy. The system consists of three subsystems: concentrating solar power (CSP), compressed air energy storage (CAES), and absorpt...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652840/ https://www.ncbi.nlm.nih.gov/pubmed/38024672 http://dx.doi.org/10.1021/acsomega.3c03401 |
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author | Yang, Xinglin Zheng, Shouqing Chang, Jiaqi |
author_facet | Yang, Xinglin Zheng, Shouqing Chang, Jiaqi |
author_sort | Yang, Xinglin |
collection | PubMed |
description | [Image: see text] In response to the country’s “carbon neutrality, peak carbon dioxide emissions” task, this paper constructs an integrated energy system based on clean energy. The system consists of three subsystems: concentrating solar power (CSP), compressed air energy storage (CAES), and absorption refrigeration (AR). Among them, thermal energy storage equipment in the photothermal power generation system can alleviate the fluctuation of solar energy and provide a stable power supply for the system. The compression heat generated during the compression process of the CAES system can be recovered through heat transfer oil to provide a heat load. The compressed air in the air accumulator (ACC) expands in the air turbine to provide an electric load. The low-temperature exhaust gas discharged from the turbine can provide cool load. First, a multienergy system that includes CSP, CAES, and AR is built. Then, the system takes the lowest economic cost as the objective function and constructs the system day-ahead scheduling model. Finally, for data obtained from scene reduction, the commercial optimization software Gurobi is invoked through YALMIP to solve the model. The results show that the three subsystems achieve multienergy complementarity; system operating costs are reduced by 59.94% and fully absorb wind and solar energies by the system. |
format | Online Article Text |
id | pubmed-10652840 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-106528402023-11-02 Research on CCHP Design and Optimal Scheduling Based on Concentrating Solar Power, Compressed Air Energy Storage, and Absorption Refrigeration Yang, Xinglin Zheng, Shouqing Chang, Jiaqi ACS Omega [Image: see text] In response to the country’s “carbon neutrality, peak carbon dioxide emissions” task, this paper constructs an integrated energy system based on clean energy. The system consists of three subsystems: concentrating solar power (CSP), compressed air energy storage (CAES), and absorption refrigeration (AR). Among them, thermal energy storage equipment in the photothermal power generation system can alleviate the fluctuation of solar energy and provide a stable power supply for the system. The compression heat generated during the compression process of the CAES system can be recovered through heat transfer oil to provide a heat load. The compressed air in the air accumulator (ACC) expands in the air turbine to provide an electric load. The low-temperature exhaust gas discharged from the turbine can provide cool load. First, a multienergy system that includes CSP, CAES, and AR is built. Then, the system takes the lowest economic cost as the objective function and constructs the system day-ahead scheduling model. Finally, for data obtained from scene reduction, the commercial optimization software Gurobi is invoked through YALMIP to solve the model. The results show that the three subsystems achieve multienergy complementarity; system operating costs are reduced by 59.94% and fully absorb wind and solar energies by the system. American Chemical Society 2023-11-02 /pmc/articles/PMC10652840/ /pubmed/38024672 http://dx.doi.org/10.1021/acsomega.3c03401 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Yang, Xinglin Zheng, Shouqing Chang, Jiaqi Research on CCHP Design and Optimal Scheduling Based on Concentrating Solar Power, Compressed Air Energy Storage, and Absorption Refrigeration |
title | Research on CCHP Design and Optimal Scheduling Based
on Concentrating Solar Power, Compressed Air Energy Storage, and Absorption
Refrigeration |
title_full | Research on CCHP Design and Optimal Scheduling Based
on Concentrating Solar Power, Compressed Air Energy Storage, and Absorption
Refrigeration |
title_fullStr | Research on CCHP Design and Optimal Scheduling Based
on Concentrating Solar Power, Compressed Air Energy Storage, and Absorption
Refrigeration |
title_full_unstemmed | Research on CCHP Design and Optimal Scheduling Based
on Concentrating Solar Power, Compressed Air Energy Storage, and Absorption
Refrigeration |
title_short | Research on CCHP Design and Optimal Scheduling Based
on Concentrating Solar Power, Compressed Air Energy Storage, and Absorption
Refrigeration |
title_sort | research on cchp design and optimal scheduling based
on concentrating solar power, compressed air energy storage, and absorption
refrigeration |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652840/ https://www.ncbi.nlm.nih.gov/pubmed/38024672 http://dx.doi.org/10.1021/acsomega.3c03401 |
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