A rolling prediction optimization strategy for the optimal design of grid connected integrated CCHP system with renewable energy and energy storage

3rd International Conference on Energy Engineering and Environmental Protection

能源学;生态环境科学

Li, Haoran^1 ; Zhang, Chenghui^1 ; Sun, Bo^1 ; Li, Yiming^1

School of Control Science and Engineering, Shandong University, Jinan

250061, China^1

关键词: Carbon emissions;    Combined cooling heating and power;    Distributed power;    Electricity storages;    Following the thermal loads;    Operation strategy;    Optimization strategy;    Renewable energies;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/227/4/042057/pdf
DOI  :  10.1088/1755-1315/227/4/042057

学科分类：环境科学（综合）

来源: IOP

【 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.