Knowledge Management System Of Guangzhou Institute of Energy Conversion, CAS
Energy management strategy and capacity optimization for CCHP system integrated with electric-thermal hybrid energy storage system | |
Lin, Shili1,2,3,4; Song, Wenji1![]() ![]() | |
2020-02-01 | |
Source Publication | INTERNATIONAL JOURNAL OF ENERGY RESEARCH
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ISSN | 0363-907X |
Volume | 44Issue:2Pages:1125-1139 |
Corresponding Author | Song, Wenji(songwj@ms.giec.ac.cn) |
Abstract | In order to improve the comprehensive energy utilization rate of combined cooling, heating, and power (CCHP) system, a hybrid energy storage system (HESS) is proposed in this paper consisting of electric and thermal energy storage systems. And the overall optimization design and operation of CCHP system with HESS are the main problems to be solved in application. Therefore, the topology and the energy flow model of CCHP system with HESS are established and analyzed according to the energy conversion characteristics of the component equipment. Moreover, combined with five evaluative restrictions for HESS system, a rule-based energy management strategy is designed to realize the decoupling regulation of electric energy and thermal energy in CCHP system. On this basis, a multi-objective optimization model is studied by taking the indicators of annual cost ratio, the primary energy consumption ratio, and loss energy ratio, and then the capacity parameters are optimized by particle swarm optimization algorithm (PSOA). Finally, a case is carried out to compare the energy allocation situations and capacity optimization results between CCHP system with HESS and CCHP system with single thermal energy storage system (ST). Results show that the capacity of ICE is reduced by 34%, and the annual cost and the primary energy consumption are saved about 7.69% and 18.47%, respectively, demonstrating that HESS has better optimization effect and applicable for small-scale CCHP system. |
Keyword | capacity optimization CCHP energy management strategy hybrid energy storage system |
DOI | 10.1002/er.5003 |
WOS Keyword | PERFORMANCE ANALYSIS ; PARTICLE SWARM ; OPTIMAL-DESIGN ; OPERATION ; UNITS ; HEAT |
Indexed By | SCI |
Language | 英语 |
Funding Project | National Key R&D Program of China[2016YFB0901405] ; S&T Planning Project of Guangdong Province, China[2017A050501060] ; STS Regional Key Projects of CAS[KFJ-STS-QYZX-034] |
WOS Research Area | Energy & Fuels ; Nuclear Science & Technology |
Funding Organization | National Key R&D Program of China ; S&T Planning Project of Guangdong Province, China ; STS Regional Key Projects of CAS |
WOS Subject | Energy & Fuels ; Nuclear Science & Technology |
WOS ID | WOS:000534587900037 |
Publisher | WILEY |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.giec.ac.cn/handle/344007/27138 |
Collection | 中国科学院广州能源研究所 |
Corresponding Author | Song, Wenji |
Affiliation | 1.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China 2.CAS Key Lab Renewable Energy, Guangzhou 510640, Peoples R China 3.Guangdong Prov Key Lab New & Renewable Energy Res, Guangzhou 510640, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China |
First Author Affilication | GuangZhou Institute of Energy Conversion,Chinese Academy of Sciences |
Recommended Citation GB/T 7714 | Lin, Shili,Song, Wenji,Feng, Ziping,et al. Energy management strategy and capacity optimization for CCHP system integrated with electric-thermal hybrid energy storage system[J]. INTERNATIONAL JOURNAL OF ENERGY RESEARCH,2020,44(2):1125-1139. |
APA | Lin, Shili,Song, Wenji,Feng, Ziping,Zhao, Yongjie,&Zhang, Yanhui.(2020).Energy management strategy and capacity optimization for CCHP system integrated with electric-thermal hybrid energy storage system.INTERNATIONAL JOURNAL OF ENERGY RESEARCH,44(2),1125-1139. |
MLA | Lin, Shili,et al."Energy management strategy and capacity optimization for CCHP system integrated with electric-thermal hybrid energy storage system".INTERNATIONAL JOURNAL OF ENERGY RESEARCH 44.2(2020):1125-1139. |
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