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

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

Renewable Energy, 2018, vol. 121, issue C, 429-440

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.

Keywords: Solar radiation; Day type; sky conditions; Parabolic trough; Concentrated solar power (CSP) plant; System advisory model (SAM) (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:121:y:2018:i:c:p:429-440

DOI: 10.1016/j.renene.2018.01.040

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