TY - JOUR
T1 - Multi-objective optimization of a combined cooling, heating, and power system with subcooled compressed air energy storage considering off-design characteristics
AU - Chen, Shang
AU - Arabkoohsar, Ahmad
AU - Yang, Yongheng
AU - Zhu, Tong
AU - Nielsen, Mads Pagh
N1 - Funding Information:
The work was supported by the National Fundamental Research Program of China 973 project (2014CB249201) “Research on the stability of complex energy system integrated natural gas and renewable energy”.
Publisher Copyright:
© 2021
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/3/25
Y1 - 2021/3/25
N2 - In this work, the performance of a combined cooling, heating, and power system is studied under dynamic operation conditions. The hybrid system consists of a wind farm and a subcooled compressed air energy storage system, providing energy for an integrated energy network including established heating, cooling, and electricity grids. For the presented system, real wind fluctuation data and the off-design performance characteristics of each component are considered. The efficiency of the integrated cooling, heating and power system and the cost of the system are taken into account as the objectives of the problem to optimize. Then, a bi-level differential evolution algorithm is proposed to handle the multi-objective optimization of the system. Different solutions are carried out and compared to investigate the trigeneration of the system under various energy demand conditions. The results show that the off-design characteristics have a significant side-effect on the trigeneration performance of the system. The storage system has more obvious advantages in the transition season, as the states of charge of the system are 82%, 84% and 92% in winter, summer and transition seasons, respectively. The application of the system can effectively avoid the negative effect of the off-design characteristics of equipment and has great potential for energy supply in combined cooling, heating, and power systems.
AB - In this work, the performance of a combined cooling, heating, and power system is studied under dynamic operation conditions. The hybrid system consists of a wind farm and a subcooled compressed air energy storage system, providing energy for an integrated energy network including established heating, cooling, and electricity grids. For the presented system, real wind fluctuation data and the off-design performance characteristics of each component are considered. The efficiency of the integrated cooling, heating and power system and the cost of the system are taken into account as the objectives of the problem to optimize. Then, a bi-level differential evolution algorithm is proposed to handle the multi-objective optimization of the system. Different solutions are carried out and compared to investigate the trigeneration of the system under various energy demand conditions. The results show that the off-design characteristics have a significant side-effect on the trigeneration performance of the system. The storage system has more obvious advantages in the transition season, as the states of charge of the system are 82%, 84% and 92% in winter, summer and transition seasons, respectively. The application of the system can effectively avoid the negative effect of the off-design characteristics of equipment and has great potential for energy supply in combined cooling, heating, and power systems.
KW - Multi-objective optimization
KW - Multi-vector energy systems
KW - Off-design operation
KW - Subcooled compressed air energy storage
UR - http://www.scopus.com/inward/record.url?scp=85099613527&partnerID=8YFLogxK
U2 - 10.1016/j.applthermaleng.2021.116562
DO - 10.1016/j.applthermaleng.2021.116562
M3 - Journal article
AN - SCOPUS:85099613527
SN - 1359-4311
VL - 187
JO - Applied Thermal Engineering
JF - Applied Thermal Engineering
M1 - 116562
ER -