Multi-Physics Design and NSGA-II Optimization of a Triple-Functional Solar Module | ||
| Journal of Solar Energy Research | ||
| دوره 10، شماره 2، تابستان 2025، صفحه 2234-2252 اصل مقاله (986.86 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22059/jser.2025.399841.1613 | ||
| نویسندگان | ||
| Jayakumar D1؛ Balamanikandan A* 2؛ Hareesh S3؛ Sendil Kumar S4؛ Jayanthi R5؛ Sudhakar Reddy N2 | ||
| 1Department of Electronics and Communication Engineering, Kuppam Engineering College, Kuppam, India. | ||
| 2Department of Electronics and Communication Engineering, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College), Tirupati, India. | ||
| 3Department of Electrical and Electronics Engineering, Mother Theresa Institute of Science and Technology, Palamaner, India. | ||
| 4Department of Electrical and Electronics Engineering, S.A. Engineering college, Chennai, India. | ||
| 5Department of Electrical and Electronics Engineering, P.T. Lee. Chengalvaraya naicker college of engineering and Technology, Kanchipuram, India. | ||
| چکیده | ||
| This work develops a theoretical multi-physics framework for designing and optimizing a triple-functional solar module that combines passive radiative cooling, photocatalytic air purification, and photovoltaic power generation. The module integrates three key components: a spectrally selective infrared-emissive Meta surface, a TiO₂/ZnO photocatalytic coating described by Langmuir–Hinshelwood kinetics, and a temperature-dependent single-diode PV model. These are coupled into a time-resolved simulation pipeline with adaptive meshing guided by Biot and Damköhler numbers, ensuring both accuracy and efficiency. Optimization is performed using the Non-Dominated Sorting Genetic Algorithm II (NSGA-II), varying emissivity, catalyst thickness, PV bandgap, and convective coefficients to identify the best trade-offs between electrical efficiency e, cooling energy (Ecool) and pollutant removal rate Rp. Under Chandragiri climatic conditions, the module achieved Tmax = 18.4 °C, Rp, max = 0.96 mol·m⁻²·h⁻¹, and e = 21.3%, outperforming existing systems. Seasonal analysis confirmed functional adaptability, while a weighted Figure of Merit (FOM) unified performance assessment. The results provide practical design guidance and establish a foundation for experimental validation and future lifecycle studies. | ||
| کلیدواژهها | ||
| Multi-objective optimization؛ Multi-physics modeling؛ Passive radiative cooling؛ Photocatalytic degradation؛ Photovoltaic energy conversion | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 438 تعداد دریافت فایل اصل مقاله: 259 |
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