Optimization of Solar Cell Parameters - C., Chellaswamy; R., Ramesh
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Solar cells are devices for converting sunlight into electricity. Their primary element is often a semiconductor which absorbs light to produce carriers of electrical charge. Solar energy provides clean power. It doesn't present the risk of a nuclear spill, but it is, in fact, a release of radiation, only some of which is visible light. It can be scaled to any size or complexity, from warming a room through a window to powering a utility grid. The main goal of this book is to model solar cells to extract various parameters. Solar cell model parameters should be extracted to minimize the…mehr

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Produktbeschreibung
Solar cells are devices for converting sunlight into electricity. Their primary element is often a semiconductor which absorbs light to produce carriers of electrical charge. Solar energy provides clean power. It doesn't present the risk of a nuclear spill, but it is, in fact, a release of radiation, only some of which is visible light. It can be scaled to any size or complexity, from warming a room through a window to powering a utility grid. The main goal of this book is to model solar cells to extract various parameters. Solar cell model parameters should be extracted to minimize the difference between the measured and simulated current. The performance of two circuit models has been analyzed using adaptive differential evolution algorithm. The power of the solar system is strongly influenced by shadows and different shadowing pattern has been performed. The simulation is carried out for the measured voltage, the current data of the solar cell and the PV module. The algorithm is implemented in ARM LPC2148 processor.
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Autorenporträt
Chellaswamy C. received his Ph.D. degree in Electronic and Communication Engineering from St. Peters University, Chennai in 2017. He is currently an Associate Professor with Rajalakshmi Institute of Technology, Anna University, Chennai. His research interests include embedded system design, control system design, wind and solar energy.