A rolling prediction optimization strategy for the optimal design of grid connected integrated CCHP system with renewable energy and energy storage. Issue 4 (February 2019)

• Record Type: Journal Article
• Authors: Li, Haoran; Zhang, Chenghui; Sun, Bo; Li, Yiming
• Is Part Of: IOP conference series. Volume 227:Issue 4(2019)
• Publication Date: 2019-02
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/227/4/042057
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: 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.