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Performance evaluation and multi-objective optimization of a building powered by photovoltaic-thermal and air source heat pump heating system

Author

Listed:
  • Zhen, Xiaofei
  • Xiao, Yujun
  • Han, Yan
  • Li, Zhuoqun
  • Zhang, Guowei

Abstract

The structural parameters of photovoltaic-thermal (PV/T) modules, including absorber plate material, plate thickness, and number of flow tubes, determine the energy, economic and environmental performance of a PV/T and air source heat pump (PV/T-ASHP) heating system. These parameters are optimized for an office building in Lanzhou New District. A co-simulation model is built using TRNSYS and MATLAB. The model is validated against existing experimental data from the literature. The mean absolute percentage error is 0.74% for tank temperature and 2.81% for electricity generation. A non-dominated sorting genetic algorithm II (NSGA-II) multi-objective optimization framework is established with three objectives, namely system equipment cost, annual electricity generation, and annual carbon emissions. A technique for order preference by similarity to ideal solution (TOPSIS) method combined with the entropy weight method is used to rank the Pareto-optimal solutions. The results show that aluminum is the optimal absorber plate material. The system performance gain from increasing the number of flow tubes exceeds that from increasing the absorber plate thickness. Compared with a conventional ASHP heating system, the optimized PV/T-ASHP system achieves lower operating costs after a payback period of 5.08 years. The research provides a scenario-specific design methodology for PV/T-ASHP systems and supports the coordinated improvement of building energy efficiency, economic feasibility, and carbon emission reduction in renewable heating applications.

Suggested Citation

  • Zhen, Xiaofei & Xiao, Yujun & Han, Yan & Li, Zhuoqun & Zhang, Guowei, 2026. "Performance evaluation and multi-objective optimization of a building powered by photovoltaic-thermal and air source heat pump heating system," Renewable Energy, Elsevier, vol. 273(C).
    • Handle: RePEc:eee:renene:v:273:y:2026:i:c:s0960148126009134
    DOI: 10.1016/j.renene.2026.126087
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