Multi-objective Optimization of Parabolic Trough Concentrated Solar Power with Thermal Energy Storage Plant Parameters using Elitist Nondominated Sorting Genetic Algorithm

Alvar, Ryan Francis N.; Aguirre, Rodolfo A.; Manzano, John Paul P.

doi:10.1109/tencon50793.2020.9293735

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…The reflective aperture area of the solar field is calculated using Equation (8), where SM is the solar multiple, N SCA is the number of collectors, and A SCA is the reflective area per collector [61].…”

Section: Determining the Powermentioning

confidence: 99%

“…The input thermal energy needed by the power block to deliver the gross output of the turbine is described by [61] in Equation (9), where Q des is the design cycle thermal input, E gross is the design gross output, and η turbine is the turbine efficiency.…”

Section: Determining the Powermentioning

confidence: 99%

“…The maximum thermal energy that can be stored is also described by Equation (13) [61,64], where Q max,tes is the maximum TES, TES hours is the hours of TES, and Q des is the design cycle thermal input.…”

Section: Determining the Powermentioning

confidence: 99%

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Technoeconomic Evaluation of Electricity Generation from Concentrated Solar Power Technologies in Ghana

2022

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This work estimates the annual energy that could be generated from a concentrated solar power (CSP) plant. The optimal location used for this analysis was selected based on a set of multicriteria decision-making (MCDM) methods employed in an earlier research. The paper also determines the financial viability of implementing a CSP plant within the selected location. A 100 MW CSP plant for the said location was modelled and simulated using the System Advisor Model (SAM) software with data from the online database of the National Renewable Energy Lab (NREL) available from the SAM software. Using a solar multiple of 2.0 with a TES of 6 hours, the plant generated an estimated annual energy of 306.850 GWh with a capacity factor of 35.10% and gross-to-net conversion of 89.10%. The months with the highest generation were from November to March while July to September had the least generation. Generation begins from 8 am, rising to a peak around 12 pm to 4 pm and gradually declines into the night. Results from the financial analysis produced a net present value (NPV) of USD 156,287,433.72 after the plant life of 25 years, indicating profitability of the project. Results from the sensitivity analysis showed that the project NPV became negative only when the base case capital cost, electricity price, and revenue were, respectively, increased by 15%, reduced by 10%, and reduced by 13%.

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Section: Determining the Powermentioning

confidence: 99%

Section: Determining the Powermentioning

confidence: 99%