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Development of a Simple Methodology Using Meteorological Data to Evaluate Concentrating Solar Power Production Capacity

Author

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  • Ailton M. Tavares

    (Instituto de Ciências da Terra (ICT), IIFA, Universidade de Évora, Rua Romão Ramalho 59, 7002-554 Évora, Portugal
    Laboratório Associado de Energia, Transporte e Aeronáutica (LAETA), Universidade de Évora, Rua Romão Ramalho 59, 7002-554 Évora, Portugal)

  • Ricardo Conceição

    (High Temperature Processes Unit, IMDEA Energy, Avda. Ramón de La Sagra 3, 28935 Móstoles, Madrid, Spain)

  • Francisco M. Lopes

    (Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal)

  • Hugo G. Silva

    (Laboratório Associado de Energia, Transporte e Aeronáutica (LAETA), Universidade de Évora, Rua Romão Ramalho 59, 7002-554 Évora, Portugal
    Departamento de Física, ECT, Universidade de Évora, Rua Romão Ramalho 59, 7002-554 Évora, Portugal
    INEGI Alentejo, Universidade de Évora, Largo dos Colegiais 2, 7000-803 Évora, Portugal)

Abstract

Evaluation of the Concentrating Solar Power capacity factor is critical to support decision making on possible regional energy investments. For such evaluations, the System Advisor Model is used to perform capacity factor assessments. Among the required data, information concerning direct normal irradiance is fundamental. In this context, the Engerer model is used to estimate direct normal irradiance hourly values out of global horizontal irradiance ground measurements and other observed meteorological variables. Model parameters were calibrated for direct normal irradiance measurements in Évora (Southern Portugal), being then applied to a network of 90 stations, part of the Portuguese Meteorological Service. From the modelled direct normal irradiance, and for stations that comprise 20 years of data, typical meteorological years were determined. Finally, to identify locations of interest for possible installations of Concentrating Solar Power systems, annual direct normal irradiance availabilities and the respective capacity factor, for a predefined power plant using the System Advisor Model, were produced. Results show annual direct normal irradiance availabilities and capacity factors of up to ~2310 kWh/m 2 and ~36.2% in Castro Marim and in Faro, respectively. Moreover, this study supports energy policies that would promote Concentrating Solar Power investments in Southern Portugal (Alentejo and Algarve regions) and eastern centre Portugal (Beira Interior region), which have capacity factors above 30%.

Suggested Citation

  • Ailton M. Tavares & Ricardo Conceição & Francisco M. Lopes & Hugo G. Silva, 2022. "Development of a Simple Methodology Using Meteorological Data to Evaluate Concentrating Solar Power Production Capacity," Energies, MDPI, vol. 15(20), pages 1-27, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7693-:d:946142
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    References listed on IDEAS

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    1. Silva, Hugo Gonçalves & Abreu, Edgar F.M. & Lopes, Francis M. & Cavaco, Afonso & Canhoto, Paulo & Neto, Jorge & Collares-Pereira, Manuel, 2020. "Solar Irradiation Data Processing using estimator MatriceS (SIMS) validated for Portugal (southern Europe)," Renewable Energy, Elsevier, vol. 147(P1), pages 515-528.
    2. Alami Merrouni, Ahmed & Conceição, Ricardo & Mouaky, Ammar & Silva, Hugo Gonçalves & Ghennioui, Abdellatif, 2020. "CSP performance and yield analysis including soiling measurements for Morocco and Portugal," Renewable Energy, Elsevier, vol. 162(C), pages 1777-1792.
    3. Lopes, Francis M. & Conceição, Ricardo & Fasquelle, Thomas & Silva, Hugo G. & Salgado, Rui & Canhoto, Paulo & Collares-Pereira, Manuel, 2020. "Predicted direct solar radiation (ECMWF) for optimized operational strategies of linear focus parabolic-trough systems," Renewable Energy, Elsevier, vol. 151(C), pages 378-391.
    4. Starke, Allan R. & Lemos, Leonardo F.L. & Barni, Cristian M. & Machado, Rubinei D. & Cardemil, José M. & Boland, John & Colle, Sergio, 2021. "Assessing one-minute diffuse fraction models based on worldwide climate features," Renewable Energy, Elsevier, vol. 177(C), pages 700-714.
    5. Every, Jeremy P. & Li, Li & Dorrell, David G., 2020. "Köppen-Geiger climate classification adjustment of the BRL diffuse irradiation model for Australian locations," Renewable Energy, Elsevier, vol. 147(P1), pages 2453-2469.
    6. Lopes, Telma & Fasquelle, Thomas & Silva, Hugo G., 2021. "Pressure drops, heat transfer coefficient, costs and power block design for direct storage parabolic trough power plants running molten salts," Renewable Energy, Elsevier, vol. 163(C), pages 530-543.
    7. Lopes, Francis M. & Conceição, Ricardo & Silva, Hugo G. & Salgado, Rui & Collares-Pereira, Manuel, 2021. "Improved ECMWF forecasts of direct normal irradiance: A tool for better operational strategies in concentrating solar power plants," Renewable Energy, Elsevier, vol. 163(C), pages 755-771.
    8. Abreu, Edgar F.M. & Canhoto, Paulo & Costa, Maria João, 2019. "Prediction of diffuse horizontal irradiance using a new climate zone model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 28-42.
    9. Conceição, Ricardo & Lopes, Francis M. & Tavares, Ailton & Lopes, Daniel, 2020. "Soiling effect in second-surface CSP mirror and improved cleaning strategies," Renewable Energy, Elsevier, vol. 158(C), pages 103-113.
    10. Cavaco, Afonso & Canhoto, Paulo & Collares Pereira, Manuel, 2021. "Procedures for solar radiation data gathering and processing and their application to DNI assessment in southern Portugal," Renewable Energy, Elsevier, vol. 163(C), pages 2208-2219.
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    1. Ailton M. Tavares & Ricardo Conceição & Francisco M. Lopes & Hugo G. Silva, 2024. "Effect of Solar Irradiation Inter-Annual Variability on PV and CSP Power Plants Production Capacity: Portugal Case-Study," Energies, MDPI, vol. 17(21), pages 1-20, November.

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