This study examines the impact of PV output power on SWH performance by utilizing GAMS and TSOL software specialized tools for simulating solar thermal systems and optimizing the integrated system's performance under real-world conditions. The research considers various scenarios. A baseline scenario established performance benchmarks, while reflector integration improved efficiency by increasing solar radiation on the collector. Seasonal variation scenarios modeled performance across summer and winter, leveraging auxiliary systems during colder months. Cost-priority scenarios minimized expenses with trade-offs in energy output, whereas pollution-priority scenarios emphasized emissions reduction by prioritizing renewable energy sources. TSOL's flexibility provided robust and adaptable insights for these evaluations. The system incorporates a thermal element to supplement energy on cloudy days, with solar panels as the primary energy source. A key advantage of the proposed methods is their ability to generate thermal energy at night. The performance is assessed based on shading, the number of SWH tubes, and reflection using actual weather data from Kermanshah, Iran. By adopting a comprehensive approach that considers both microscopic and macroscopic factors, the system improves occupant comfort while reducing electricity demand on the main grid. The findings demonstrate the effectiveness of the proposed planning and validate this innovative approach.
