August 17, 2025BuildingsOpen Access

Dynamic Optimization and Performance Analysis of Solar Thermal Storage Systems for Intermittent Heating in High-Altitude Cold Regions

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The intermittent strategy cuts annual heat load by 13-33%, enhancing energy efficiency significantly.
Peak loads can reach 1.8 times normal values, but the Day–Night + Monthly Intermittent Mode reduces fluctuations by 42%.
Dynamic optimization methods address supply and demand mismatches in solar thermal storage systems effectively.
The design criteria developed offers a universal framework for optimizing solar district heating systems.

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Analysis shows reduced heat load by 13-33% in buildings during intermittent heating, indicating improved efficiency with dynamic optimization.

Hu et al. (2025) studied this question.

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Analysis shows reduced heat load by 13-33% in buildings during intermittent heating, indicating improved efficiency with dynamic optimization.