标题:A rolling prediction optimization strategy for the optimal design of grid connected integrated CCHP system with renewable energy and energy storage
作者:Li, Haoran; Zhang, Chenghui; Sun, Bo; Li, Yiming
通讯作者:Sun, B
作者机构:[Li, Haoran; Zhang, Chenghui; Sun, Bo; Li, Yiming] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China.
会议名称:3rd International Conference on Energy Engineering and Environmental Protection (EEEP)
会议日期:NOV 19-21, 2018
来源:THIRD INTERNATIONAL CONFERENCE ON ENERGY ENGINEERING AND ENVIRONMENTAL PROTECTION
出版年:2019
卷:227
期:4
DOI:10.1088/1755-1315/227/4/042057
摘要:Integrated Combined Cooling Heating and Power (CCHP) system with renewable energy (RE) and energy storage (ES), short as RE-CCHP-ES, is the distributed power station supply electricity, heating, cooling, and hot water by solar, wind power, and natural gas for a specific customer, such as campus, hospital, or commercial palace. Following electric load (FEL) and following the thermal load (FTL) are the traditional operation strategies for CCHP system. But for the system with gas boiler and electricity storage, their performances are not satisfied. Therefore, FLB-RPO operation strategy is designed and contracted with FEL-ECR, and FLB. The result of case study shows that the system designed under FLB-RPO strategy reducing more carbon emission, energy consumption, and system cost than the systems designed under other operation strategy or power supply.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063428621&doi=10.1088%2f1755-1315%2f227%2f4%2f042057&partnerID=40&md5=ecc412b325af3377aa10c27a8935a4bf
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