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• W4386197536 abstract "A dynamic, techno-economic model of a small-scale, 31.5 kWe concentrated solar power (CSP) plant with a dish collector, two-tank molten salt storage, and a sCO2 power block is analysed in this study. Plant solar multiple and storage hours are optimised using a multi-objective genetic algorithm to minimise the levelised cost of electricity (LCOE) and maximise the capacity factor (CF). The optimal LCOE is found to be ranging from 122.7 USD/MWhe to 217.8 USD/MWhe when using optimistic and pessimistic power block cost assumptions. In contrast, the literature reports an LCOE of 193.9 USD/MWhe for a similar 31.5 kWe CSP system without storage. The addition of thermal energy storage in the system configuration dramatically improves the CF from 30.4%—reported in the literature—to 87.2% obtained from the present model. The sensitivity analysis suggests that upscaling the system to 400 kWe reduces the LCOE to 121.9–172.2 USD/MWhe as a result of lower unit power block costs at larger scales. The comparison of CSP and PV-battery systems in three distinct locations—characterised by varying direct and global solar resources—indicates that the CSP system is promising in locations with abundant direct normal irradiance (DNI). For locations with medium DNI resource, the LCOE of PV-battery system is within the margin of uncertainty of CSP system. In low-DNI locations, PV-battery systems proved to be preferable." @default.
• W4386197536 created "2023-08-27" @default.
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• W4386197536 date "2023-10-01" @default.
• W4386197536 modified "2023-09-25" @default.
• W4386197536 title "Small-scale concentrated solar power system with thermal energy storage: System-level modelling and techno-economic optimisation" @default.
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• W4386197536 doi "https://doi.org/10.1016/j.enconman.2023.117551" @default.
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