There are two main drawbacks when operating solar energy systems: a) the resulting energy costs are not yet competitive and b) solar energy is not always available when needed. In order to improve the overall solar plants efficiency, advances control techniques play an important role. In order to develop efficient and robust control techniques,...
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April 27, 2020 (v1)PublicationUploaded on: March 25, 2023
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September 4, 2023 (v1)Publication
The Digital Twin (DT) constitutes an integration between cyber and physical spaces and has recently become a popular concept in smart manufacturing and Industry 4.0. The related literature provides a DT characterisation and identifies the problem of updating DT models throughout the product life cycle as one of the knowledge gaps. The DT must...
Uploaded on: October 18, 2023 -
June 22, 2023 (v1)Publication
This paper presents the design of a classifier of variable failures in a wind turbine system. The classifier is based on a structure formed by several TS fuzzy inference systems, with projections of the data onto components of a principal component analysis. The classifier is part of a discrepancy evaluator for triggering the learning mechanism...
Uploaded on: June 23, 2023 -
April 10, 2019 (v1)Publication
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...
Uploaded on: December 4, 2022 -
August 28, 2019 (v1)Publication
This paper reports a general overview of current research on analysis and control of the power grid with grid scale PV-based power generations as well as of various consequences of grid scale integration of PV generation units into the power systems. Moreover, the history of PV renewable growth, deregulation of power system and issues related...
Uploaded on: March 27, 2023 -
October 18, 2022 (v1)Publication
Solar plants are exposed to numerous agents that degrade and damage their components. Due to their large size and constant operation, it is not easy to access them constantly to analyze possible failures on-site. It is, therefore, necessary to use techniques that automatically detect faults. In addition, it is crucial to detect the fault and...
Uploaded on: March 24, 2023 -
May 9, 2023 (v1)Publication
Detecting and isolating faults in collector fields of solar thermal power plants is a crucial and challenging task. The system variables in the collector area are highly coupled, which can lead to a high misclassification rate. For this reason, it becomes necessary to combine knowledge of systems engineering with machine learning techniques...
Uploaded on: May 11, 2023 -
October 7, 2022 (v1)Publication
With the advancement of new technologies, power systems are increasingly equipped with more sensors and actuators, heightening the risk of failure. This fact, together with the vulnerability of solar plants -not only to internal faults but also to the action of the sun, rain, wind, and animals, among others- gives rise to the need for detecting...
Uploaded on: March 24, 2023 -
May 31, 2022 (v1)Publication
Solar plants are exposed to the appearance of faults in some of their components, as they are vulnerable to the action of external agents (wind, rain, dust, birds …) and internal defects. However, it is necessary to ensure a satisfactory operation when these factors affect the plant. Fault detection and diagnosis methods are essential to...
Uploaded on: March 24, 2023 -
November 24, 2022 (v1)Publication
Advanced control strategies can play an important role in improving the efficiency of solar plants. In particular, linear model predictive control strategies have been applied successfully when controlling solar trough plants. However, if the control algorithm uses a linear model associated only with one operating point, when the plant is...
Uploaded on: March 24, 2023 -
October 2, 2019 (v1)Publication
Solar energy for cooling systems has been widely used to fulfill the growing air conditioning demand. The advantage of this approach is based on the fact that the need of air conditioning is usually well correlated to solar radiation. These kinds of plants can work in different operation modes resulting on a hybrid system. The control...
Uploaded on: March 25, 2023 -
September 22, 2022 (v1)Publication
The size of existing commercial solar trough plants poses new challenges in applying advanced control strategies to optimize operation. One of these challenges is to obtain a better thermal balance of the loops' temperature. Since plants are made up of many loops, the efficiency of the loops can vary substantially if a group has been cleaned or...
Uploaded on: March 24, 2023 -
November 10, 2022 (v1)Publication
One of the main components of a Digital Twin is the modeling of the virtual entity, being this a high-fidelity digital model of the physical entity that represents the modeling of geometry, modeling of physical properties, modeling of behavior, and modeling of rules in the virtual world. This paper presents a model, based on an Adaptive...
Uploaded on: March 24, 2023 -
July 4, 2022 (v1)Publication
The size of the current commercial solar trough plants poses new challenges in the applications of advanced control strategies. Ensuring safe operation while maintaining the temperature around an adequate set-point can lead to substantial gains in power production. Furthermore, the controller has to take into account the steam generator...
Uploaded on: March 25, 2023 -
May 7, 2021 (v1)Publication
La estimación de estados no observables de un proceso es importante cuando se aplican técnicas de control automático basadas en el espacio de estados. El diseño y uso de estos controladores conlleva suponer que los valores de los estados se podrán obtener de una u otra forma. Cuando todos los estados son medibles, no existe la necesidad de...
Uploaded on: December 5, 2022