Energy production estimation of a parabolic trough solar power plant using artificial neural network

Author(s):  
Anass Zaaoumi ◽  
Zahra Bouramdane ◽  
Abdellah Bah ◽  
Mohammed Alaoui ◽  
Abdellah Mechaqrane
Solar Energy ◽  
2021 ◽  
Vol 214 ◽  
pp. 551-564
Author(s):  
Linrui Ma ◽  
Tong Zhang ◽  
Xuelin Zhang ◽  
Bin Wang ◽  
Shengwei Mei ◽  
...  

2021 ◽  
Vol 11 (20) ◽  
pp. 9576
Author(s):  
Wisam Abed Kattea Al-Maliki ◽  
Adnan G. Tuaamah Al-Hasnawi ◽  
Hasanain A. Abdul Wahhab ◽  
Falah Alobaid ◽  
Bernd Epple

The present work focuses on the development of a detailed dynamic model of an existing parabolic trough solar power plant (PTSPP) in Spain. This work is the first attempt to analyse the dynamic interaction of all parts, including solar field (SF), thermal storage system (TSS) and power block (PB), and describes the heat transfer fluid (HTF) and steam/water paths in detail. Advanced control circuits, including drum level, economiser water bypass, attemperator and steam bypass controllers, are also included. The parabolic trough power plant is modelled using Advanced Process Simulation Software (APROS). An accurate description of control structures and operation strategy is necessary in order to achieve a reasonable dynamic response. This model would help to identify the best operation strategy due to DNI (direct normal irradiation) variations during the daytime. The operation strategy used in this model has also been shown to be effective compared to decisions made by operators on cloudy periods by improving power plant performance and increasing operating hours.


Energy ◽  
2018 ◽  
Vol 155 ◽  
pp. 565-577 ◽  
Author(s):  
P.A. González-Gómez ◽  
J. Gómez-Hernández ◽  
J.V. Briongos ◽  
D. Santana

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