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Evaluation of classification methods according to solar radiation features from the viewpoint of the production of parabolic trough CSP plants

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  • Moreno-Tejera, S.
  • Silva-Pérez, M.A.
  • Ramírez-Santigosa, L.
  • Lillo-Bravo, I.

Abstract

In this work, the representativeness of the day-types classified according to the solar radiation features by two classification methods is evaluated from the perspective of the production of two parabolic trough plants. A new methodology to characterize the representativeness of the day-types using a novel index is proposed, based on the characterization of the daily production. As a previous step to the use of a classification method, the evaluation methodology helps to select the most adequate model and to improve it from the perspective of a concentrated solar power project. This methodology is applied to 16 years of measurements from Seville (Spain) classified by two methods: a method based on daily clearness index values (kt), and a method that uses clustering techniques to define the day-types. From the application of the methodology to the clustering classification some improvements are identified and applied. As a result, from the 10 day-types identified by the clustering classification method a new classification based on 8 day-types with different features for each type of plant is proposed. The use of this classification to estimate the daily yield outperforms the results obtained with the kt classification, with a mean yearly RMSE value more than 20% lower.

Suggested Citation

  • Moreno-Tejera, S. & Silva-Pérez, M.A. & Ramírez-Santigosa, L. & Lillo-Bravo, I., 2018. "Evaluation of classification methods according to solar radiation features from the viewpoint of the production of parabolic trough CSP plants," Renewable Energy, Elsevier, vol. 121(C), pages 429-440.
    • Handle: RePEc:eee:renene:v:121:y:2018:i:c:p:429-440
    DOI: 10.1016/j.renene.2018.01.040
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    References listed on IDEAS

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    1. Meybodi, Mehdi Aghaei & Ramirez Santigosa, Lourdes & Beath, Andrew C., 2017. "A study on the impact of time resolution in solar data on the performance modelling of CSP plants," Renewable Energy, Elsevier, vol. 109(C), pages 551-563.
    2. Moreno-Tejera, S. & Ramírez-Santigosa, L. & Silva-Pérez, M.A., 2015. "A proposed methodology for quick assessment of timestamp and quality control results of solar radiation data," Renewable Energy, Elsevier, vol. 78(C), pages 531-537.
    3. Polo, J. & Téllez, F.M. & Tapia, C., 2016. "Comparative analysis of long-term solar resource and CSP production for bankability," Renewable Energy, Elsevier, vol. 90(C), pages 38-45.
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    1. Laporte-Azcué, M. & González-Gómez, P.A. & Rodríguez-Sánchez, M.R. & Santana, D., 2022. "A procedure to predict solar receiver damage during transient conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    2. Elfeky, Karem Elsayed & Mohammed, Abubakar Gambo & Ahmed, Naveed & Wang, Qiuwang, 2023. "Thermo-mechanical investigation of the multi-layer thermocline tank for parabolic trough power plants," Energy, Elsevier, vol. 268(C).

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