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Optimizing crude oil operations scheduling considering blending in tanks

IFAC-PapersOnLine 2024年第14期58卷 67-72页

作者： Tomas Garcia Garcia-Verdier Gloria Gutierrez Carlos Mendez Cesar de Prada Dpt. of Systems Engineering and Automatic Control University of Valladolid Valladolid Spain Institute of Sustainable Processes University of Valladolid Valladolid Spain Center for Advanced Process Systems Engineering (CAPSE) INTEC (UNL - CONICET) Argentina

This paper focuses on the optimization of crude oil operations scheduling in a refinery that is supplied with crude oil by ship. One of the main challenges associated with the crude oil operations scheduling problem is the management of crude storage in tanks. Since storage capacity is limited and there are several types of crude oil depending on their composition, it is necessary to store mixtures of crude oil in tanks. This feature makes necessary the inclusion of nonlinear, non-convex constraints, which complicates the resolution of mathematical programming models. To address this problem, we have developed a mathematical programming model based on a continuous-time formulation using time slots, along with a strategy based on piecewise McCormick relaxation that allows us to efficiently handle the nonlinear constraints generated by blending crude oils in tanks.

关键词： Modelling decision making in complex systems Efficient strategies for large scale complex systems Production planning control Optimization control.of large-scale network systems Complex logistic systems

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Optimizing the monthly scheduling of crudes in a terminal-refinery system

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IFAC-PapersOnLine 2023年第2期56卷 7414-7419页

This paper focuses on solving the optimization of crude oil operations scheduling carried out in a real system composed of a refinery and a marine terminal, over a monthly horizon. In the present article, we introduce a large-scale mixed-integer non-linear programming (MINLP) model that faithfully represents the operation and characteristics of the system. Considering the model's complexity and its non-linear and non-convex nature, the challenge lies in solving the model in a time frame that meets the user's needs. To tackle this problem, we develop a temporal decomposition method in conjunction with a linear approximation.

关键词： Modelling and decision making in complex systems Production planning and control Continuous-time representation Optimization and control.of large-scale network systems Temporal decomposition method

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Closed-loop Scheduling in a canned food factory

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IFAC-PapersOnLine 2020年第2期53卷 10791-10796页

作者： C.G. Palacín C. Vilas A.A. Alonso José L. Pitarch C. de Prada Systems engineering and Automatic Control Dpt. University of Valladolid Valladolid Spain (Bio)Process engineering Group Instituto de Investigaciones Marinas (CSIC) Vigo Spain

This paper addresses the problem of closed-loop operation of scheduling, together with the interaction of control.and scheduling, for a class of processes that appear very often in industry: those that combine continuous production lines with parallel batch units that share some resources. The paper presents a novel approach to this problem, including batching and a new type of precedence in the assignment problem. It also considers the effect of shared resources on the duration of the cycle time of the batch units. The approach is illustrated with a real-life example of a canned tuna factory

关键词： Integration of scheduling control shared resources tuna cans sterilisation process optimisation continuous-batch process scheduling

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Modelling and control.of a concentrating solar power plant prototype 30

Modelling and control of a concentrating solar power plant p...

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30th Irish Signals and systems Conference, ISSC 2019

作者： Heidary, Amir Mousavi, S. Mahdi Rouzbehi, Kumars Escano, Juan Manuel Amirkabir University Dpt. of Electrical Engineering Tehran Iran Ege University Dpt. of Mechanical Engineering Izmir Turkey University of Seville Dpt. of System Engineering and Automatic Control Seville Spain

ISBN: (纸本)9781728128009

This paper presents a type of solar thermal power plant and also studies the efficiency of the common type of this distributed generation resource. In order to improve the efficiency of the power station, several techniques are studied such as the combined cycle plant, the thermoelectric generator and the intelligent control.application. The thermodynamic analysis of the power plant and the performance of the equipment with an intelligent control.system are validated by the developed experimental prototype. © 2019 IEEE.

关键词： Solar energy

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Optimal Coordination Of Batch Processes with Shared Resources

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IFAC-PapersOnLine 2019年第1期52卷 826-831页

作者： Carlos G. Palacín Cesar de Prada Dpt. Of Systems Engineering and Automatic Control Escuela de Ingenierías Industrials Sede Mergelina Universidad de Valladolid C/Real de Burgos s/n Valladolid 47011 SPAIN Institute of Sustainable Processes (IPS) University of Valladolid C/Real de Burgos s/n Valladolid 47011 SPAIN

This paper deals with the scheduling of batch processes that share common resources having consumption profiles that change over time and are subjected to some global constraints. In order to approach the problem, the formulation mixes three different time basis. Scheduling is performed in continuous time, but the description of the shared resources and the global constraints uses discrete values. The method is applied to a challenging problem in a tuna canning factory that mixes continuous flows of cans with the batch operation of a set of sterilizers sharing the steam supply line.

关键词： Process scheduling shared resources tuna cans sterilization process optimization continuous-batch process scheduling

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Erratum to “Modifier Adaptation methodology based on transient and static measurements for RTO to cope with structural uncertainty” [Comput. Chem. Eng. 106 (2017) 480–500]

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Computers & Chemical engineering 2018年 108卷 460-460页

作者： T. Rodríguez-Blanco D. Sarabia J.L. Pitarch C. de Prada Dpt. of Systems Engineering and Automatic Control University of Valladolid Doctor Mergelina s/n 47011 Valladolid Spain Dpt. of Electromechanical Engineering University of Burgos Avda. Cantabria s/n 09006 Burgos Spain

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Hierarchical Optimal Operation of Continuous-Batch Processes

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IFAC-PapersOnLine 2015年第23期48卷 294-301页

作者： De Prada, C. Cristea, S.P. Mazaeda, R. Dpt. of Systems Engineering and Automatic Control University of Valladolid Valladolid47011 Spain

This paper presents a methodology for the optimal operation of mixed continuous-batch processes based on a hierarchical decomposition of the problem: local dynamic optimizers perform the economic optimization of the batch units or continuous plants, while the upper layer deals with the scheduling of the batch units and the coordination of the flows and properties of sub-processes using a novel simplified model built with predictions from the lower level. The approach is illustrated with a case study from the sugar industry corresponding to the joint operation of the evaporation and crystallization sections operated to maximize production with minimum energy consumption. © 2015, IFAC (International Federation of automatic control. Hosting by Elsevier Ltd. All rights reserved.

关键词： Sugar industry Batch data processing Energy utilization Hierarchical systems Optimization Scheduling algorithms Continuous batch Continuous plant Economic optimization Hierarchical control Hierarchical decompositions Minimum energy consumption NMPC Optimal operation

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Gross error management in data reconciliation

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IFAC-PapersOnLine 2015年第8期48卷 623-628页

作者： M.J. Fuente G. Gutierrez E. Gomez D. Sarabia C. de Prada Dpt. of Systems Engineering and Automatic Control EII University of Valladolid c/ Real de Burgos 47011 Spain Dpt of Electromechanical Eng. University of Burgos Avda. Cantabria s/n 09006 Burgos

This paper reviews the problems associated to the presence of gross errors in data reconciliation problems as well as the main approaches to avoid their undesirable effects: detection and removal of the faulty measurements and minimization of their effect on the reconciled results by using robust estimators that modify the cost function. In the first case, Principal Component Analysis is used to detect the gross errors while, in the second, the Fair function is used. A combined approach is also presented that improves the PCA results. The methods are evaluated in a realistic large-scale problem with plant data corresponding to the hydrogen network of a petrol refinery.

关键词： Data reconciliation Gross error detection PCA robust estimators hydrogen networks

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Modifier-Adaptation methodology for RTO applied to Distillation Columns

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IFAC-PapersOnLine 2015年第8期48卷 223-228页

作者： T. Rodriguez-Blanco D. Sarabia D. Navia C. De Prada Dpt of Systems Engineering and Automatic Control University of Valladolid Doctor Mergelina s/n 47011 Valladolid Spain Dpt of Electromechanical Engineering University of Burgos Avda. Cantabria s/n 09006 Burgos Dpt. Ingenieria Quimica y Ambiental Universidad Tecnica Federico Santa Maria Santiago Chile

Optimal process operation is not always guaranteed due to the presence of significant uncertainty about the plant models that are used to make decisions, for example in Real time optimization, and also due to the differences between control.architecture layers which operate on different time-scales and use different kind of models. Modifier adaptation is a methodology that achieves optimality despite the presence of uncertainty by using plant measurements. This paper presents the Nested modifier-adaptation methodology applied to the operation of distillation columns and the results obtained are compared with the previous modifier adaptation methodology using dual control.optimization.

关键词： Real Time Optimization modifier-adaptation uncertainty distillation columns optimization problems

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Mixed modifier-adaptation for RTO in a continuous bioreactor 19

Mixed modifier-adaptation for RTO in a continuous bioreactor

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19th IFAC World Congress on International Federation of automatic control. IFAC 2014

作者： Navia, Daniel Gutiérrez, Gloria De Prada, César Dpt. Ingeniería Química y Ambiental Universidad Técnica Federico Santa María Santiago Chile Dpt. Systems Engineering and Automatic Control University of Valladolid c/Real de Burgos s/n Valladolid47011 Spain

ISBN: (纸本)9783902823625

This paper deals with the problem of optimizing the performance of a process using Real Time Optimization (RTO) considering the unavoidable errors in the process models. It implements a new architecture within the modifier-adaptation methodology, presenting a nested optimization problem with two layers. With this methodology, it is possible to find a point that satisfies the KKT conditions of a process using an inaccurate model in the optimization, without the need to estimate directly the experimental gradients of the process. The suggested methodology has been tested in a continuous bioreactor example that present a washout closer to the real optimum of the simulated process. The results show that the proposed methodology is able to find the optimum of the process smoothly, avoiding unstable operating points. © IFAC.

关键词： Bioreactors

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