Control strategies of a solar cooling plant with fresnel collector: A case study

Model predictive control has been demonstrated to be one of the most efficient control techniques for solar power systems. An incremental offset-free state-space Model Predictive Controller (MPC) is developed for the Fresnel collector field located at the solar cooling plant installed on the roof of the Engineering School of Sevilla. A robust Luenberger observer is used for estimating the states of the plant which cannot be measured. The proposed strategy is tested on a nonlinear distributed parameter model of the Fresnel collector field. Its performance is compared to that obtained with a gain-scheduling generalized predictive controller. A real test carried out at the real plant is presented, showing that the proposed strategy achieves a very good performance.

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“…where ∆x k = x k − x k−1 . Augmenting Equations (25) and (26), the complete state-space model is posed as follows:…”

Section: Offset-free State-space Mpcmentioning

confidence: 99%

“…Concerning the control of a Fresnel solar collector field, in [24,25] different control schemes for a Fresnel collector field are presented and an explicit MPC is developed and tested in a simulation environment. In [26], the modeling and control of a linear Fresnel collector system is addressed.…”

Section: Introductionmentioning

confidence: 99%

Incremental State-Space Model Predictive Control of a Fresnel Solar Collector Field

et al. 2018

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“…The development of control strategies for Fresnel collector fields has not been as popular as for parabolic trough fields. As examples, in [19], control approaches for this kind of plant are discussed. The application of an explicit model predictive control is also tested by simulation.…”

Section: Introductionmentioning

confidence: 99%

Adaptive UKF-based model predictive control of a Fresnel collector field

Gallego

Sánchez

Berenguel

et al. 2020

Journal of Process Control

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One of the ways to improve the efficiency of solar energy plants is by using advanced control and optimization algorithms. In particular, model predictive control strategies have been applied successfully in their control.The control objective of this kind of plant is to regulate the solar field outlet temperature around a desired set-point. Due to the highly nonlinear dynamics of these plants, a simple linear controller with fixed parameters is not able to cope with the changing dynamics and the multiple disturbance sources affecting the field.In this paper, an adaptative model predictive control strategy is designed for a Fresnel collector field belonging to the solar cooling plant installed at the Escuela Superior de Ingenieros in Sevilla. The controller changes the linear model used to predict the future evolution of the system with respect to the operating point.Since only the inlet and outlet temperatures of the heat transfer fluid are measurable, the intermediate temperatures have to be estimated. An unscented Kalman filter is used as a state estimator. It estimates metal-fluid temperature profiles and effective solar radiation.Simulation results are provided comparing the proposed strategy with a PID+feedforward series controller showing better performance. The controller is also compared to a gain scheduling generalized predictive controller (GS-GPC) which has previously been tested at the actual plant with a very good performance. The proposed strategy outperforms these two strategies. Furthermore, two real tests are presented. These tests show that the proposed controller achieves adequate set-point tracking in spite of strong disturbances.

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“…In (Witheephanich et al (2013); Witheephanich. et al (2014)) possible control approaches for this kind of plant are discussed, showing simulation results of the application of an explicit model predictive control.…”

Section: Introductionmentioning

confidence: 99%

Gain-scheduling model predictive control of a Fresnel collector field

Gallego

Merello

Berenguel

et al. 2019

Control Engineering Practice

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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 point, when the plant is working far from the design conditions, the performance of the controller may deteriorate.In this paper, a gain scheduling model predictive control strategy is designed for the Fresnel collector field located at the Escuela Superior de Ingenieros de Sevilla. Simulation results are provided comparing the proposed strategy with another linear MPC controller showing a better performance. Furthermore, two real tests are presented showing the effectiveness of the proposed strategy.

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Control strategies of a solar cooling plant with fresnel collector: A case study

Cited by 8 publications

References 15 publications

Incremental State-Space Model Predictive Control of a Fresnel Solar Collector Field

Incremental State-Space Model Predictive Control of a Fresnel Solar Collector Field

Adaptive UKF-based model predictive control of a Fresnel collector field

Gain-scheduling model predictive control of a Fresnel collector field

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