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Review of application of AI techniques to Solar Tower Systems

Authors :
Victor Grigoriev
John Pye
Marios Constantinou
Charles-Alexis Asselineau
Manuel Blanco
Kypros F. Milidonis
Constantinos F. Panagiotou
Aristides M. Bonanos
Source :
Solar Energy. 224:500-515
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

Artificial Intelligence (AI) is increasingly playing a significant role in the design and optimization of renewable energy systems. Many AI approaches and technologies are already widely deployed in the energy sector in applications such as generation forecasting, energy efficiency monitoring, energy storage, and overall design of energy systems. This paper provides a review of the applications of key AI techniques on the analysis, design, optimization, control, operation, and maintenance of Solar Tower systems, one of the most important types of Concentrating Solar Thermal (CST) systems. First, key AI techniques are briefly described and relevant examples of their application to CST systems in general are provided. Subsequently, a detailed review of how these AI techniques are being used to advance the state of the art of solar tower systems is presented. The review is structured around the different subsystems of a solar tower system.

Details

ISSN :
0038092X
Volume :
224
Database :
OpenAIRE
Journal :
Solar Energy
Accession number :
edsair.doi.dedup.....16763dbb0a7c38f4deaaa96915ccac99
Full Text :
https://doi.org/10.1016/j.solener.2021.06.009