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- W4323051405 abstract "The study examines numerous off-grid hybrid renewable energy system (HRES) combinations to deliver electricity to a remote island settlement. Six different configurations were subjected to technical, economic, environmental, and social analyses in order to establish the best optimal design. The best-optimized system's sensitivity analysis was carried out. Furthermore, different machine learning models have been applied to predict the performance of the system. In terms of economic assessments, the lowest levelized unit cost of electricity (LCOE) (0.31$/kWh) and highest return on investment (ROI) (26.4 %) make the System 6 much more competitive. Despite the fact that System 6 is partially powered by a diesel generator, the life cycle CO2 emissions (LCE) of System 6 and System 3 are at similar levels, which are 49517.68 kg/year and 46744.45 kg/year, respectively. For system 6, it was observed that a 30 % rise in diesel fuel prices increased the net present cost (NPC) and LCOE by 4.9 % and 4.8 %, respectively. Matern 5/2 GPR model is found to be best options among all the studied machine learning models for predicting renewable fraction and levelized unit cost of electricity." @default.
- W4323051405 created "2023-03-04" @default.
- W4323051405 creator A5001291779 @default.
- W4323051405 date "2023-04-01" @default.
- W4323051405 modified "2023-10-17" @default.
- W4323051405 title "Modelling an off-grid hybrid renewable energy system to deliver electricity to a remote Indian island" @default.
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- W4323051405 doi "https://doi.org/10.1016/j.enconman.2023.116839" @default.
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