Cooling performances time series of CSP plants: Calculation and analysis using regression and ANN models

T.E. Boukelia, A. Ghellab, A. Laouafi, A. Bouraoui and Y. Kabar

Renewable Energy, 2020, vol. 157, issue C, 809-827

Abstract: Concentrating solar power (CSP) plants use large quantities of water, for different processes such as cycle makeup and cooling. Thus, the estimation of cooling performances in such kind of plants is highly required. On the other hand, yearly round simulations of cooling performances of these plants require many calculations, data analysis, and time consuming. In this regard, empirical models and artificial neural networks (ANN) can be good alternatives in this topic. Therefore, the two main aims of this study are: (1) to compare the cooling performances, including water usage and power consumption for cooling of different CSP layouts, and (2) to develop regression and ANN models () to estimate these performances during the whole year, without passing through a detailed modelling.

Keywords: ANN; Cooling performance; CSP; Regression model; Statistical analysis (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:157:y:2020:i:c:p:809-827

DOI: 10.1016/j.renene.2020.05.012

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