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- W4322749061 abstract "The renewable energy forms the alternate option to conventional power generation based on fossil fuels owing to limitations in availability and polluting nature. This study on hybrid energy generation strategy with solar and wind energy highlights on functional aspects of site/device selection, operational feature of MPPT to improve efficiency that reduces energy costs. The hybrid renewable system though less efficient than conventional system offers advantages of zero fuel cost and environmental benign nature. The hybrid model developed in MATLAB/Simulink takes input in form of climate and load parameters to develop strategies that maximize net energy gain. The solar irradiance, daylight hours, temperature, wind speed and geographical parameters constitute inputs to evolve operating strategies for hybrid system. The results obtained from the model deceits the effectiveness of the model. Weather prediction is done using genetic algorithm to predict cloud coverage of Hubballi location. The dataset is selected for 6 months and fitness of the model is found up to 85%." @default.
- W4322749061 created "2023-03-03" @default.
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- W4322749061 date "2023-01-01" @default.
- W4322749061 modified "2023-09-28" @default.
- W4322749061 title "Simulation of Hybrid Energy Systems Using Historical Meteorological Data of Location" @default.
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- W4322749061 doi "https://doi.org/10.1007/978-981-19-7971-2_35" @default.
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