WANG Ruimin, YU Qinghua, JIA Na, et al. Performance analysis and optimization of a heat pump-assisted seasonal solar thermal storage heating system in hot-summer and cold-winter regions[J]. Energy Storage Science and Technology, 2026, 15(3): 781-793.
WANG Ruimin, YU Qinghua, JIA Na, et al. Performance analysis and optimization of a heat pump-assisted seasonal solar thermal storage heating system in hot-summer and cold-winter regions[J]. Energy Storage Science and Technology, 2026, 15(3): 781-793.DOI: 10.19799/j.cnki.2095-4239.2025.0998.
Performance analysis and optimization of a heat pump-assisted seasonal solar thermal storage heating system in hot-summer and cold-winter regions
Seasonal solar water thermal energy storage systems can utilize the heat accumulated in summer during winter in regions with hot summers and cold winters. They can significantly reduce the high carbon emissions characterizing the traditional heating methods. However
they exhibit problems
such as difficult output temperature regulation and temperature drops in the middle and late stage of heating. To accommodate stable heating demand
a water-source heat pump (WSHP) should be added to achieve flexible temperature adjustment. This study adopts a large
three-story building located in Wuhan as a case study and designs a multi-source heating system that combines photovoltaic/thermal (PV/T) collectors
a seasonal water thermal energy storage and a WSHP. A whole-year dynamic simulation model is established for an in-depth
comprehensive investigation of the system performance considering three aspects: the energy efficiency
economy
and heating stability. The proposed system is also compared with a single PV/T seasonal water thermal energy storage heating system and a PV/T system with an electric boiler. The results show that the PV/T system with a WSHP has the best overall performance. Its annual average seasonal energy efficiency ratio (SSER) is 7.537
the life cycle cost (LCC) is 1.4283 million yuan and the root mean-square error of the heating inlet water temperature is 1.321. Furthermore
the Hooke-Jeeves algorithm is used to optimize the area and tilt angle of PV/T collectors
the volume of the hot water storage tank and the rated heating capacity of the heat pump. After optimization
the system SSER increases by 4.59%
while the LCC is reduced by 8.89%
indicating significant improvements. This research provides a theoretical basis and practical guidance for the engineering design and optimization of seasonal solar thermal energy storage heating systems for large buildings located in hot-summer and cold-winter regions.
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references
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