Year: 2025
Type: article
Abstract: Solar heat pump hybrid systems must operate stably and their performance must be managed to meet the medium-and low-temperature thermal demands of industrial processes using renewable energy.However, solar thermal systems may experience heat source temperatures and failures due to solar radiation fluctuations and equipment aging, necessitating real-time monitoring-based operation and maintenance systems.In this study, a monitoring system for measuring, storing energy, and analyzing solar thermal heat pump hybrid systems in industrial processes in real-time was developed by applying an RS485-based controller and a Python data processing environment.The solar thermal energy storage (STES) was stably maintained within the 40 -65°C range, and the high-temperature thermal energy storage (HTES) remained within the 70 -80°C range.The daily performance was analyzed, indicating a system coefficient of performance (SCOP) of 1.9 -2.1.The renewable fraction (RF) averaged 77%, and the solar fraction (SF) averaged 43%, confirming that 84.3% of the total heat load was covered by renewable energy.The auxiliary boiler heat source covered 15.7% of the total heat load, substantially reducing the dependency on fossil fuels.The established monitoring system is configured to reliably collect key data in 10-second intervals and automatically calculate performance indicators, accurately capturing the operational status.The RS485-Python based architecture facilitates future sensor expansion and field implementation.These results provide foundational data for increasing the operational reliability of the processes of industrial renewable energy heat supply systems and establishing smart operation and maintenance (O&M) frameworks.
Institution: Kyung Hee University
Language: English
Field: Energy
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7119501239