Multi-objective optimization of a hybrid PVT assisted ground source and air source heat pump system for large space buildings using transient metamodel

Naihua Yue, Lingling Li and Congbao Xu

Energy, 2025, vol. 328, issue C

Abstract: The ground source heat pump (GSHP) system is widely employed as a clean, efficient and economical renewable energy technology for HVAC and hot water supply. In cold zone of China, however, the building heating load is much larger than that of cooling load, which may cause significant soil temperature drop and GSHP performance deterioration. To solve this problem, a novel PVT assisted GSHP and ASHP system (PVT-GA) for gymnasium was proposed in this research. Using transient FEDformer as metamodel, NSGAII was employed for multi-objective optimization of grid power consumption, CO2 emission, and LCC. Six systems with different configuration were compared. Results show that the optimal PVT-GA system has best performance. Compared with the original system, it reduces the grid power requirement by 70.80 %, CO2 emission by 70.53 %, and LCC by 54.57 %. The system also could improve the PV array power generated efficiency by 14.81 %. Furthermore, the average soil temperature of PVT-GA system could stable at 15.88 °C, and the COP of GSHP and whole system also could keep stable at a high level with 5.365 kW/kW and 6.296 kW/kW. This research offers a solution to soil thermal imbalance problem in GSHP system and efficiency attenuation issue of PV caused by overheating.

Keywords: Ground source heat pump (GSHP); Photovoltaic/thermal (PVT); Air source heat pump (ASHP); Integrated operation; Multi-objective optimization; Deep learning (DL) (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:328:y:2025:i:c:s0360544225021152

DOI: 10.1016/j.energy.2025.136473

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