Research on Cross-Seasonal Thermal Storage Optimization and Building Energy Efficiency Improvement of Solar-Air Source Heat Pump Coupled Systems

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.