Hybrid Power Generation: Experimental Investigation of PCM and TEG Integration with Photovoltaic Systems
DOI:
https://doi.org/10.54392/irjmt24317Keywords:
Photovoltaic Panel, Phase change material, Thermoelectric Generator, Artificial Neural NetworkAbstract
Global warming and escalating energy consumption have presented pressing issues, catalyzing a pivotal shift towards environmental development worldwide. In recent years, the installed capacity of solar photovoltaic (PV) cells, particularly crystalline silicon cells, has experienced a significant surge. Among the myriad studies aimed at enhancing the efficiency of PV cells' power generation, one prominent avenue involves reducing the internal temperature of these cells. The primary objectives of the present study revolved around augmenting power generation and improving photocell efficiency. This was pursued through the strategic blending of nanoparticles with phase change material (PCM), with variations in insertion percentages to modulate the heat absorption capacity of the PV panel. Additionally, the study sought to evaluate the impact of integrating Thermoelectric Generator (TEG) modules and a water-based nano-fluid cooling system beneath the TEG setup. These measures aimed to effectively monitor the conversion of waste heat into electrical energy. Consequently, the proposed orientation of PV panels – involving PCM adjustment via alteration of insertion percentages, coupled with TEG integration and water-based nano-fluid cooling technology – holds significant promise for enhancing efficiency and mitigating solar cell degradation.
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