[HTML][HTML] Model predictive control based on deep learning for solar parabolic-trough plants

S Ruiz-Moreno, JRD Frejo, EF Camacho - Renewable Energy, 2021 - Elsevier
In solar parabolic-trough plants, the use of Model Predictive Control (MPC) increases the
output thermal power. However, MPC has the disadvantage of a high computational …

Review on performance analysis of the power block in concentrated solar power plants

H Yan, A Wang, D Chong, M Liu, J Liu… - Energy …, 2021 - Wiley Online Library
Concentrated solar power (CSP) is a promising option to generate flexible and green power
for the power grid. Power block is important to enhance energy efficiency and flexibility of …

Model predictive control in solar trough plants: A review

EF Camacho, AJ Gallego - IFAC-PapersOnLine, 2015 - Elsevier
The importance of the use of renewable energy sources has experienced a great impulse
since the beginning of the 80s. In particular, solar energy is the most abundant source of …

A simplified dynamic model of integrated parabolic trough concentrating solar power plants: Modeling and validation

S Wei, X Liang, T Mohsin, X Wu, Y Li - Applied Thermal Engineering, 2020 - Elsevier
An analytical dynamic model can deepen our understanding of system characteristics.
However, no system-scale dynamic model of integrated parabolic trough concentrating solar …

Steam generation system operation optimization in parabolic trough concentrating solar power plants under cloudy conditions

A Wang, J Liu, S Zhang, M Liu, J Yan - Applied Energy, 2020 - Elsevier
Parabolic trough concentrating solar power with indirect thermal energy storage, as a
promising application of solar energy, has been widely used in concentrating solar power …

Temperature homogenization of a solar trough field for performance improvement

AJ Sánchez, AJ Gallego, JM Escaño, EF Camacho - Solar Energy, 2018 - Elsevier
Optimal operation of solar plant is a challenge due to the multiple disturbances affecting the
plant. Research in optimal temperature set-point tracking is extensive whereas research …

Gain-scheduling model predictive control of a Fresnel collector field

AJ Gallego, GM Merello, M Berenguel… - Control Engineering …, 2019 - Elsevier
Abstract Model predictive control strategies have been applied successfully when controlling
solar plants. If the control algorithm uses a linear model associated only to an operating …

Stable deep Koopman model predictive control for solar parabolic-trough collector field

T Gholaminejad, A Khaki-Sedigh - Renewable Energy, 2022 - Elsevier
Abstract Concentrated Solar Power plants (CSP) have the energy storage capability to
generate electricity when sunlight is scarce. However, due to the highly non-linear dynamics …

Nonlinear temperature regulation of solar collectors with a fast adaptive polytopic LPV MPC formulation

HA Pipino, MM Morato, E Bernardi, EJ Adam… - Solar Energy, 2020 - Elsevier
Temperature control in solar collectors is a nonlinear problem: the dynamics of temperature
rise vary according to the fluid flowing through the collector and to the temperature gradient …

Fuzzy-based predictive deep reinforcement learning for robust and constrained optimal control of industrial solar thermal plants

FB Tilahun - Applied Soft Computing, 2024 - Elsevier
Integrating distributed solar fields (DSFs) into conventional heat and power plants (CHPs) of
industries is mostly constrained by the availability of a real-time capable control scheme …