TY - GEN
T1 - Optimal Coordination of Photovoltaic/Thermal Collectors and Ground-source Heat Pumps in Integrated Energy Systems
AU - Wang, Shuobin
AU - Xu, Zhanbo
AU - Jian, Xiyan
AU - Liu, Kun
AU - Yang, Huibiao
AU - Li, Hongqiang
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Ground-source heat pumps (GSHP) are widely used in integrated energy systems for their high energy efficiency ratio, but their excessive use would result in soil temperature attenuation, which negatively impacts the performance of the GSHP. The integration of photovoltaic/thermal collectors and ground-source heat pumps (PVT-GSHP) is considered a promising approach to address the problem of soil temperature attenuation. However, the coupling of heating energy among various energy supply devices and storage units and the soil thermal balance for long-term operation require coordinated scheduling of the system. In this paper, the soil temperature dynamics for long-term operations are established. The optimal scheduling problem is formulated as a mixed integer linear programming (MILP) problem considering the energy balance and complicated operating constraints of energy supply devices and storage units. Numerical testing results demonstrate that the optimal operation strategies of PVT-GSHP can ensure the low-carbon and economic operation of the system in cold regions. The soil thermal imbalance ratio could be reduced from around 37.5% to only 4%, thus the soil temperature can be well sustained.
AB - Ground-source heat pumps (GSHP) are widely used in integrated energy systems for their high energy efficiency ratio, but their excessive use would result in soil temperature attenuation, which negatively impacts the performance of the GSHP. The integration of photovoltaic/thermal collectors and ground-source heat pumps (PVT-GSHP) is considered a promising approach to address the problem of soil temperature attenuation. However, the coupling of heating energy among various energy supply devices and storage units and the soil thermal balance for long-term operation require coordinated scheduling of the system. In this paper, the soil temperature dynamics for long-term operations are established. The optimal scheduling problem is formulated as a mixed integer linear programming (MILP) problem considering the energy balance and complicated operating constraints of energy supply devices and storage units. Numerical testing results demonstrate that the optimal operation strategies of PVT-GSHP can ensure the low-carbon and economic operation of the system in cold regions. The soil thermal imbalance ratio could be reduced from around 37.5% to only 4%, thus the soil temperature can be well sustained.
UR - https://www.scopus.com/pages/publications/85208247506
U2 - 10.1109/CASE59546.2024.10711665
DO - 10.1109/CASE59546.2024.10711665
M3 - 会议稿件
AN - SCOPUS:85208247506
T3 - IEEE International Conference on Automation Science and Engineering
SP - 2726
EP - 2731
BT - 2024 IEEE 20th International Conference on Automation Science and Engineering, CASE 2024
PB - IEEE Computer Society
T2 - 20th IEEE International Conference on Automation Science and Engineering, CASE 2024
Y2 - 28 August 2024 through 1 September 2024
ER -