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Validation of SAM Modeling of Concentrated Solar Power Plants

Author

Listed:
  • Alberto Boretti

    (Mechanical Engineering Department, College of Engineering, Prince Mohammad Bin Fahd University, P.O. Box 1664, Al Khobar 31952, Saudi Arabia)

  • Jamal Nayfeh

    (Mechanical Engineering Department, College of Engineering, Prince Mohammad Bin Fahd University, P.O. Box 1664, Al Khobar 31952, Saudi Arabia)

  • Wael Al-Kouz

    (Mechanical Engineering Department, College of Engineering, Prince Mohammad Bin Fahd University, P.O. Box 1664, Al Khobar 31952, Saudi Arabia)

Abstract

The paper proposes the validation of the latest System Advisor Model (SAM) vs. the experimental data for concentrated solar power energy facilities. Both parabolic trough, and solar tower, are considered, with and without thermal energy storage. The 250 MW parabolic trough facilities of Genesis, Mojave, and Solana, and the 110 MW solar tower facility of Crescent Dunes, all in the United States South-West, are modeled. The computed monthly average capacity factors for the average weather year are compared with the experimental data measured since the start of the operation of the facilities. While much higher sampling frequencies are needed for proper validation, as monthly averaging dramatically filters out differences between experiments and simulations, computational results are relatively close to measured values for the parabolic trough, and very far from for solar tower systems. The thermal energy storage is also introducing additional inaccuracies. It is concluded that the code needs further development, especially for the solar field and receiver of the solar tower modules, and the thermal energy storage. Validation of models and sub-models vs. high-frequency data collected on existing facilities, for both energy production, power plant parameters, and weather conditions, is a necessary step before using the code for designing novel facilities.

Suggested Citation

  • Alberto Boretti & Jamal Nayfeh & Wael Al-Kouz, 2020. "Validation of SAM Modeling of Concentrated Solar Power Plants," Energies, MDPI, vol. 13(8), pages 1-25, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:8:p:1949-:d:345946
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    References listed on IDEAS

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    1. Adnan Al-Bashir & Mohamed Al-Dweri & Ahmad Al-Ghandoor & Bashar Hammad & Wael Al-Kouz, 2020. "Analysis of Effects of Solar Irradiance, Cell Temperature and Wind Speed on Photovoltaic Systems Performance," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 353-359.
    2. Francis M. Lopes & Ricardo Conceição & Hugo G. Silva & Thomas Fasquelle & Rui Salgado & Paulo Canhoto & Manuel Collares-Pereira, 2019. "Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System," Energies, MDPI, vol. 12(7), pages 1-18, April.
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    2. Starke, Allan R. & Cardemil, José M. & Bonini, Vinicius R.B. & Escobar, Rodrigo & Castro-Quijada, Matías & Videla, Álvaro, 2024. "Assessing the performance of novel molten salt mixtures on CSP applications," Applied Energy, Elsevier, vol. 359(C).

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