The Experts below are selected from a list of 12183 Experts worldwide ranked by ideXlab platform
Luis J Yebra - One of the best experts on this subject based on the ideXlab platform.
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local model predictive controller in a solar Desalination Plant collector field
Renewable Energy, 2011Co-Authors: Claudio O Ayala, Lidia Roca, Manuel Berenguel, Jose Luis Guzman, Julio E Normeyrico, Luis J YebraAbstract:This paper proposes a new predictive control strategy for a distributed collector field of a solar Desalination Plant. The main purpose of the controller is to manipulate the water flow rate to maintain constant the outlet-inlet temperature gradient in the collectors in spite of disturbances. The controller is based on a filtered Smith predictor generalized predictive control algorithm and a simple procedure to update the linear model used in the predictor as well as the tuning parameters, in such a way that non-linear optimization is avoided. The controller copes with the process non-linearities, constraints, dead time and Plant-model mismatch obtaining the desirable performance both, in the reference tracking and in the rejection of strong irradiance disturbances. Simulations and real experimental tests in AQUASOL Desalination Plant solar field are presented to show the advantages of the proposed controller.
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robust nonlinear predictive control applied to a solar collector field in a solar Desalination Plant
IEEE Transactions on Control Systems and Technology, 2010Co-Authors: Bismark C Torrico, Lidia Roca, Jose Luis Guzman, Julio E Normeyrico, Luis J YebraAbstract:This brief presents the application of a robust nonlinear predictive controller to the distributed collector field of a solar Desalination Plant. The main purpose of the controller is to manipulate the water flow rate to maintain the collector outlet-inlet temperature gradient constant in spite of disturbances. The controller uses a robust dead-time compensation structure and a nonlinear model predictive control to cope with time delay uncertainties and system nonlinearities, respectively. Simulation and real experimental results are shown to illustrate controller performance.
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robust constrained predictive feedback linearization controller in a solar Desalination Plant collector field
Control Engineering Practice, 2009Co-Authors: Lidia Roca, Manuel Berenguel, Jose Luis Guzman, Julio E Normeyrico, Luis J YebraAbstract:Abstract This paper proposes a feedback linearization strategy for a solar collector field, which is a constrained non-linear processes. The benefits of input–output feedback linearization are improved by a filtered Smith predictor-based model predictive control algorithm with embedded variable constraint mapping to take advantage of: (i) linear control without losing the intrinsic non-linearities typical of thermal power Plants; (ii) including input amplitude constraint handling capabilities due to control signal saturations induced, for example, by strong irradiance disturbances or Plant start-up; and (iii) avoiding unstable or highly oscillatory responses caused by Plant-model mismatch. Simulation studies are first presented to analyze robustness and constraint-mapping features, and real experimental tests of this technique in the AQUASOL Desalination Plant solar field have been included to demonstrate the advantages of its implementation, especially for reference tracking despite disturbances.
Lidia Roca - One of the best experts on this subject based on the ideXlab platform.
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Predictive control applied to a solar Desalination Plant connected to a greenhouse with daily variation of irrigation water demand
Energies, 2016Co-Authors: Lidia Roca, Jorge A. Sánchez, Alberto De La Calle, Francisco Rodriguez, Jeannine Bonilla, Manuel BerenguelAbstract:The water deficit in the Mediterranean area is a known matter severely affecting agriculture. One way to avoid the aquifers' exploitation is to supply water to crops by using thermal Desalination processes. Moreover, in order to guarantee long-term sustainability, the required thermal energy for the Desalination process can be provided by solar energy. This paper shows simulations for a case study in which a solar multi-effect distillation Plant produces water for irrigation purposes. Detailed models of the involved systems are the base of a predictive controller to operate the Desalination Plant and fulfil the water demanded by the crops.
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local model predictive controller in a solar Desalination Plant collector field
Renewable Energy, 2011Co-Authors: Claudio O Ayala, Lidia Roca, Manuel Berenguel, Jose Luis Guzman, Julio E Normeyrico, Luis J YebraAbstract:This paper proposes a new predictive control strategy for a distributed collector field of a solar Desalination Plant. The main purpose of the controller is to manipulate the water flow rate to maintain constant the outlet-inlet temperature gradient in the collectors in spite of disturbances. The controller is based on a filtered Smith predictor generalized predictive control algorithm and a simple procedure to update the linear model used in the predictor as well as the tuning parameters, in such a way that non-linear optimization is avoided. The controller copes with the process non-linearities, constraints, dead time and Plant-model mismatch obtaining the desirable performance both, in the reference tracking and in the rejection of strong irradiance disturbances. Simulations and real experimental tests in AQUASOL Desalination Plant solar field are presented to show the advantages of the proposed controller.
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robust nonlinear predictive control applied to a solar collector field in a solar Desalination Plant
IEEE Transactions on Control Systems and Technology, 2010Co-Authors: Bismark C Torrico, Lidia Roca, Jose Luis Guzman, Julio E Normeyrico, Luis J YebraAbstract:This brief presents the application of a robust nonlinear predictive controller to the distributed collector field of a solar Desalination Plant. The main purpose of the controller is to manipulate the water flow rate to maintain the collector outlet-inlet temperature gradient constant in spite of disturbances. The controller uses a robust dead-time compensation structure and a nonlinear model predictive control to cope with time delay uncertainties and system nonlinearities, respectively. Simulation and real experimental results are shown to illustrate controller performance.
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robust constrained predictive feedback linearization controller in a solar Desalination Plant collector field
Control Engineering Practice, 2009Co-Authors: Lidia Roca, Manuel Berenguel, Jose Luis Guzman, Julio E Normeyrico, Luis J YebraAbstract:Abstract This paper proposes a feedback linearization strategy for a solar collector field, which is a constrained non-linear processes. The benefits of input–output feedback linearization are improved by a filtered Smith predictor-based model predictive control algorithm with embedded variable constraint mapping to take advantage of: (i) linear control without losing the intrinsic non-linearities typical of thermal power Plants; (ii) including input amplitude constraint handling capabilities due to control signal saturations induced, for example, by strong irradiance disturbances or Plant start-up; and (iii) avoiding unstable or highly oscillatory responses caused by Plant-model mismatch. Simulation studies are first presented to analyze robustness and constraint-mapping features, and real experimental tests of this technique in the AQUASOL Desalination Plant solar field have been included to demonstrate the advantages of its implementation, especially for reference tracking despite disturbances.
Mathias Monnot - One of the best experts on this subject based on the ideXlab platform.
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seawater reverse osmosis Desalination Plant at community scale role of an innovative pretreatment on process performances and intensification
Chemical Engineering and Processing, 2017Co-Authors: Mathias Monnot, Hoa Thi Khanh Nguyen, Stephanie Laborie, Corinne CabassudAbstract:Abstract Among Desalination processes, the use of seawater reverse osmosis (RO) increased in the last few years. Pretreatment before RO is an essential step to guarantee the success of the whole process. Indeed, biofouling of RO membranes usually occurs when bacteria, their potential nutrients such as dissolved organic carbon (DOC), and precursors such as transparent exopolymer particles (TEP), present in natural seawater, are not successfully removed by the pretreatments. Consequently, in this study, coupling granular activated carbon (GAC) adsorption and ultrafiltration as a pretreatment before RO is proposed on a community-scale Desalination Plant. This Plant was designed to produce 5 m 3 d −1 of desalinated water and was continuously operated on site with natural seawater. The two-month study of this Desalination Plant showed that the GAC bed could highly reduce by 20–80% DOC concentration. Ultrafiltration could retain most of TEP and bacteria before RO. RO parameters were stable meaning that no biofouling was detected. Therefore, the need of chemicals was close to zero and the RO recovery rate reached 70% enabling RO energy consumption to reach 4 kWh m −3 . The results showed the potential of process intensification in such Desalination Plants.
Jose Miguel Gonzalezcorrea - One of the best experts on this subject based on the ideXlab platform.
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preliminary results of the monitoring of the brine discharge produced by the swro Desalination Plant of alicante se spain
Desalination, 2005Co-Authors: Yolanda Fernandeztorquemada, Jose Luis Sanchezlizaso, Jose Miguel GonzalezcorreaAbstract:Abstract Data from monitoring of the dispersion and effects of the hypersaline effluents originated by Desalination Plants are very scarce. The objective of this paper is to present the monitoring, on time and space, of the brine discharge originated by the Alicante seawater Desalination Plant (SE Spain). Since the seawater reverse osmosis (SWRO) Desalination Plant started to operate in September 2003, to the date, three campaigns were made in order to determine the seasonal and spatial distribution of the brine plume and its dilution along the area. One year after the Plant operation, the results obtained at these campaigns have shown that dilution of the brine may be lower than the usually accepted and it may affect significant extensions of marine communities. Due to the recent development of the Desalination activity in our country the information obtained in this work can be considered really useful for its application to future similar projects in the Mediterranean Sea.
J. M. González-correa - One of the best experts on this subject based on the ideXlab platform.
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Preliminary results of the monitoring of the brine discharge produced by the SWRO Desalination Plant of Alicante (SE Spain)
Desalination, 2005Co-Authors: Yolanda Fernández-torquemada, José Luis Sánchez-lizaso, J. M. González-correaAbstract:Data from monitoring of the dispersion and effects of the hypersaline effluents originated by Desalination Plants are very scarce. The objective of this paper is to present the monitoring, on time and space, of the brine discharge originated by the Alicante seawater Desalination Plant (SE Spain). Since the seawater reverse osmosis (SWRO) Desalination Plant started to operate in September 2003, to the date, three campaigns were made in order to determine the seasonal and spatial distribution of the brine plume and its dilution along the area. One year after the Plant operation, the results obtained at these campaigns have shown that dilution of the brine may be lower than the usually accepted and it may affect significant extensions of marine communities. Due to the recent development of the Desalination activity in our country the information obtained in this work can be considered really useful for its application to future similar projects in the Mediterranean Sea. © 2005 Elsevier B.V. All rights reserved.