Validation of SAM Modeling of Concentrated Solar Power Plants
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, Moj...
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doaj-54923c952ee04480b2c8d2a4ac93ecbe2020-11-25T02:22:55ZengMDPI AGEnergies1996-10732020-04-01131949194910.3390/en13081949Validation of SAM Modeling of Concentrated Solar Power PlantsAlberto Boretti0Jamal Nayfeh1Wael Al-Kouz2Mechanical Engineering Department, College of Engineering, Prince Mohammad Bin Fahd University, P.O. Box 1664, Al Khobar 31952, Saudi ArabiaMechanical Engineering Department, College of Engineering, Prince Mohammad Bin Fahd University, P.O. Box 1664, Al Khobar 31952, Saudi ArabiaMechanical Engineering Department, College of Engineering, Prince Mohammad Bin Fahd University, P.O. Box 1664, Al Khobar 31952, Saudi ArabiaThe 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.https://www.mdpi.com/1996-1073/13/8/1949solar energyconcentrated solar powerenergy storagemolten salt |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Alberto Boretti Jamal Nayfeh Wael Al-Kouz |
spellingShingle |
Alberto Boretti Jamal Nayfeh Wael Al-Kouz Validation of SAM Modeling of Concentrated Solar Power Plants Energies solar energy concentrated solar power energy storage molten salt |
author_facet |
Alberto Boretti Jamal Nayfeh Wael Al-Kouz |
author_sort |
Alberto Boretti |
title |
Validation of SAM Modeling of Concentrated Solar Power Plants |
title_short |
Validation of SAM Modeling of Concentrated Solar Power Plants |
title_full |
Validation of SAM Modeling of Concentrated Solar Power Plants |
title_fullStr |
Validation of SAM Modeling of Concentrated Solar Power Plants |
title_full_unstemmed |
Validation of SAM Modeling of Concentrated Solar Power Plants |
title_sort |
validation of sam modeling of concentrated solar power plants |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2020-04-01 |
description |
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. |
topic |
solar energy concentrated solar power energy storage molten salt |
url |
https://www.mdpi.com/1996-1073/13/8/1949 |
work_keys_str_mv |
AT albertoboretti validationofsammodelingofconcentratedsolarpowerplants AT jamalnayfeh validationofsammodelingofconcentratedsolarpowerplants AT waelalkouz validationofsammodelingofconcentratedsolarpowerplants |
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1724861105442914304 |