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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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Challenges and opportunities for the control of energy storage systems. a focus on the zinc-air batteries

Challenges and opportunities for the control of energy stora...

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2021 IEEE AFRICON, AFRICON 2021

作者： Olaru, Sorin Stoican, Florin Kheawhom, Soorathep University Paris-Saclay CentraleSupélec Laboratory of Signals and Systems Gif sur Yvette France University Politehnica of Bucharest Faculty of Automatic Control and Computers Bucharest060042 Romania Chulalongkorn University Faculty of Engineering Dpt. Chemical Engineering Bangkok Thailand

ISBN: (纸本)9781665419840

The paper aims to review recent developments and points to the challenges and opportunities for the instrumentation, control and management technologies in relationship with the emergence of novel Energy Storage systems. It exemplifies this trend with a technology that has received an increasing interest in recent studies, the Zinc-Air batteries. © 2021 IEEE.

关键词： Zinc

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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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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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Enabling Conditions for the Deployment of Integrated Local Energy Communities in Europe

Enabling Conditions for the Deployment of Integrated Local E...

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Blockchain for Renewables Integration (BLORIN), Workshop on

作者： Martina Caliano Amedeo Buonanno Marialaura Di Somma Giorgio Graditi Christina Papadimitriou Chrysanthos Charalambous Przemysław Dopierała Leszek Bronk Dept. of Energy Technologies and Renewable Energy Sources ENEA Portici NA Italy Electrical Engineering dpt. Eindhoven University of Technology (TU/e) Eindhoven The Netherlands Department of Electrical and Computer Engineering University of Cyprus FOSS Research Centre for Sustainable Energy Nicosia Cyprus Department of Control Information and Communications Instytut Energetyki - Instytut Badawczy Gdansk Poland Department of Strategy and System Development Instytut Energetyki - Instytut Badawczy Gdansk Poland

ISBN: (纸本)9781665472500

The main goal of eNeuron H2020 project (Nov 2020-Oct. 2024, ID: 957779) is to develop innovative tools for the optimal design and operation of local energy communities, integrating distributed energy resources and multiple energy carriers at different scales. This paper presents a review study of the enabling conditions for the deployment of integrated local energy communities (ILECs) in Europe, performed within the project. The enabling conditions are addressed by defining the key actors and their interests in the implementation of an energy community at local level and through a detailed mapping of the enabling and emerging energy and information and communication technologies at both household and community levels. Special focus is also on mapping of the demand-side flexibility technologies to understand the benefits of local flexibility and impacts on the larger systems. In such analysis, the key issues for implementation and adaptation of this new energy paradigm are investigated through covering technological, socio-economic, environmental, and regulatory aspects.

关键词： Renewable energy sources Conferences Europe Information and communication technology Distributed power generation Blockchains

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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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Autotuning of an in-line pH control system

Autotuning of an in-line pH control system

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Pedro Mercader Kristian Soltesz Alfonso Baños Dpt. Computer and Systems Engineering University of Murcia Murcia Spain Dpt. Automatic Control Lund University Lund Sweden

A novel autotuning procedure is presented through application to an industrial in-line pH control system. The procedure has three advantages over classical relay auto-tuners: experiment duration is very short (no need for limit-cycle convergence); all data is used for identification (instead of only peaks and switch instances); a parameter uncertainty model is identified and utilized for robust controller synthesis.

关键词： Relays Process control Robustness Switches Limit-cycles Convergence

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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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