EVALUATION OF PV/T AND PV SYSTEMS USING VARIOUS MAXIMUM POWER POINT TRACKING MPPT METHODS
Due to the growing demand for renewable energy solutions, the integration of photovoltaic-thermal (PV/T) systems and photovoltaic (PV) systems is attracting more and more attention. High temperatures have a substantial impact on the efficiency of photovoltaic (PV) power panels. As the temperature of a photovoltaic (PV) panel rises, the efficiency and power production generally decline. The main reason for this is that photovoltaic cells are highly responsive to variations in temperature, which directly impact the choice of semiconductor materials employed in their fabrication. An experimental set up has employed for a cooled and non-cooled panel and the cooled panel has been cooled with a back surface cooling technology with Cu tubes. An important obstacle in improving the efficiency of these systems during high temperature conditions is the efficient use of PV panel cooling system along with Maximum Power Point Tracking (MPPT) techniques. These approaches assure that the systems function at their highest power output even when faced with changing environmental constraints. This work provides a thorough assessment of PV/T and PV systems using distinct MPPT approaches, such as Perturb and Observe (P&O), Incremental Conductance (IC) Particle Swarm Optimization (PSO) and Cuckoo Search (CS) algorithm. Simulation and experimental analysis are used to examine the combined effect of panel cooling & MPPT. The combine effect has been observed in the output power of the system by increasing electricity production efficiency by over 16%.
Authors
- Babita Panda (ORCID: https://orcid.org/0000-0002-3832-6570)
- Sampurna Panda (ORCID: https://orcid.org/0000-0001-5404-3346)
- Rakesh Kumar (ORCID: https://orcid.org/0009-0001-9024-533X)
Publication Details
- Journal
- Suranaree Journal of Science and Technology
- Published
- 2025-02-24
- DOI
- https://doi.org/10.55766/sujst-2024-05-e05758
- Primary Topic
- Low-power high-performance VLSI design
- Type
- article
- Field-Weighted Citation Impact
- 0.00