Research on Cross-Seasonal Thermal Storage Optimization and Building Energy Efficiency Improvement of Solar-Air Source Heat Pump Coupled Systems
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Abstract
Improving renewable-energy utilization and building energy efficiency is essential for achieving low-carbon building operation in cold regions. To address the mismatch between solar-energy availability and seasonal heating demand, this study proposes a cross-seasonal thermal-storage optimization framework for a solar–air-source heat-pump coupled system. A coordinated operation architecture integrating solar collectors, phase-change thermal-storage units, and air-source heat pumps is established. Dynamic meteorological information and building-load forecasting are incorporated into a multi-source energy-management model, while heat-flow optimization and fuzzy-control strategies are employed to regulate thermal-storage temperature and heat-pump operating status adaptively. Experimental results demonstrate that the proposed system increases solar-energy utilization to 62.2%, reduces annual energy consumption by approximately 27.6%, and achieves a corresponding reduction in carbon emissions. The study provides an effective solution for intelligent building-energy management and offers methodological references for energysystem optimization, environmental monitoring, and smart energy networks.
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References
J. Wang, X. Xu, T. Sun, H. Yao, M. Song, Y. Wang, and Y. Huang, “Thermal storage optimization simulation of a spiral finned phase change thermal storage unit,” Energy Storage Science and Technology, vol. 10, no. 2, pp. 514-522, 2021, doi: 10.19799/j.cnki.2095-4239.2020.0415.
N. Wang, C. Zhang, X. He, Y. Yang, L. Chen, H. Liu, C. Wang, X. Jiang, and C. Ye, “Optimization of Active Thermal Storage in Heating Networks Based on Wind Curtailment,” China Electric Power, vol. 56, no. 2, pp. 114-122, 2023, doi: 10.11930/j.issn.1004-9649.202206104.
G. Sun, W. Zhang, J. Zhou, and H. Liu, “Optimal configuration of electric boiler and thermal storage in thermal power plants based on Cournot model,” Electrical Transmission, vol. 53, no. 3, pp. 56-63, 2023, doi: 10.19457/j.1001-2095.dqcd24014.
Y. Feng, M. Zhao, and R. Cheng, “Integrated topology optimization and heat storage/release performance analysis of multi-tube phase change thermal energy storage unit,” Chemical Engineering, vol. 53, no. 4, pp. 18-23, 2025, doi: 10.3969/j.issn.1005-9954.2025.04.004.
J. Wu, Y. Jiang, S. Wang, B. Li, X. Yan, and L. Wang, “Optimization and performance analysis of thermal storage temperature matching in CO2 heat pump energy storage system,” Journal of Xi’an Jiaotong University, vol. 59, no. 12, pp. 172-181, 2025.
D. XIE, Z. TIAN, Y. ZHANG, et al., “Aggregation optimization method for offshore wind-thermal-storage systems based on membership degree analysis,” Journal of Electric Power Science and Technology, vol. 41, no. 1, pp. 1-12, 2026, doi: 10.19781/j.issn.1673-9140.2026.01.001.
G. Wang, Z. Tang, Y. Gao, et al., “Phase change thermal storage materials for interdisciplinary applications,” Chemical Reviews, vol. 123, no. 11, pp. 6953-7024, 2023, doi: 10.1021/acs.chemrev.2c00572.
L. Zhang, G. Feng, A. Li, et al., “Comprehensive evaluation and analysis of a nearly zero-energy building heating system using a multi-source heat pump in severe cold region,” Building Simulation, vol. 16, no. 10, pp. 1949-1970, 2023, doi: 10.1007/s12273-023-0990-8.
M. Wetter, K. Benne, H. Tummescheit, et al., “Spawn: coupling Modelica Buildings Library and EnergyPlus to enable new energy system and control applications,” Journal of Building Performance Simulation, vol. 17, no. 2, pp. 274-292, 2024, doi: 10.1080/19401493.2023.2266414.
F. Zhao, B. Wang, B. Huang, et al., “Inorganic electrochromic smart windows for advancing building energy efficiency,” Nature Reviews Clean Technology, vol. 1, no. 6, pp. 396-412, 2025, doi: 10.1038/s44359-025-00065-x.