September 11, 2025Thermal ScienceOpen Access

Optimization of air source heat pump system based on TRNSYS and artificial neural network

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Energy consumption decreased by 8.7% in low-conditioning mode with the optimized system, enhancing efficiency significantly.
Fan energy consumption increased by 13% with traditional control methods, highlighting the efficiency gains from optimization.
The TRNSYS co-simulation model verified the efficacy of an optimal return water temperature in reducing energy usage.
In several cities, the optimized method resulted in up to a 9.31% reduction in per-unit-area energy consumption, supporting sustainability goals.

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Hybrid neural network architecture improves energy consumption in air-source heat pump systems, suggesting better efficiency in public buildings.

Zhao et al. (2025) studied this question.

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Hybrid neural network architecture improves energy consumption in air-source heat pump systems, suggesting better efficiency in public buildings.