A reactive optimization strategy for the simultaneous planning, scheduling and control of short-period continuous reactors

Gutiérrez-Limón, Miguel Ángel; Flores‐Tlacuahuac, Antonio; Grossmann, Ignacio E.

doi:10.1016/j.compchemeng.2015.09.017

Cited by 26 publications

(25 citation statements)

References 23 publications

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“…Literature on ISC reactive to market fluctuations is relatively limited in scope. Gutierrez-Limon et al demonstrated integrated planning, scheduling, and control responsive to fluctuations in market demand on a CSTR benchmark application [36,37]. Pattison et al investigated ISC with an air separation unit (ASU) in fast-changing electricity markets, responding optimally to price fluctuations [42].…”

Section: Responsiveness To Market Fluctuationsmentioning

confidence: 99%

Economic Benefit from Progressive Integration of Scheduling and Control for Continuous Chemical Processes

et al. 2017

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Performance of integrated production scheduling and advanced process control with disturbances is summarized and reviewed with four progressive stages of scheduling and control integration and responsiveness to disturbances: open-loop segregated scheduling and control, closed-loop segregated scheduling and control, open-loop scheduling with consideration of process dynamics, and closed-loop integrated scheduling and control responsive to process disturbances and market fluctuations. Progressive economic benefit from dynamic rescheduling and integrating scheduling and control is shown on a continuously stirred tank reactor (CSTR) benchmark application in closed-loop simulations over 24 h. A fixed horizon integrated scheduling and control formulation for multi-product, continuous chemical processes is utilized, in which nonlinear model predictive control (NMPC) and continuous-time scheduling are combined.

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Section: Responsiveness To Market Fluctuationsmentioning

confidence: 99%

Economic Benefit from Progressive Integration of Scheduling and Control for Continuous Chemical Processes

et al. 2017

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“…Pattison et al investigate using a scale-bridging model (SBM) in a closed-loop moving horizon implementation of integrated scheduling and control for an industrial air separation unit (ASU), demonstrating effective response to planned maintenance, unplanned maintenance, and random failure scenarios [14]. A heuristic reactive strategy for integrated planning, scheduling, and control for multi-product continuous chemical processes has been developed and applied in scenarios with market updates with fluctuating product demands [54].…”

Section: Literature Reviewmentioning

confidence: 99%

Combined Noncyclic Scheduling and Advanced Control for Continuous Chemical Processes

et al. 2017

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Abstract:A novel formulation for combined scheduling and control of multi-product, continuous chemical processes is introduced in which nonlinear model predictive control (NMPC) and noncyclic continuous-time scheduling are efficiently combined. A decomposition into nonlinear programming (NLP) dynamic optimization problems and mixed-integer linear programming (MILP) problems, without iterative alternation, allows for computationally light solution. An iterative method is introduced to determine the number of production slots for a noncyclic schedule during a prediction horizon. A filter method is introduced to reduce the number of MILP problems required. The formulation's closed-loop performance with both process disturbances and updated market conditions is demonstrated through multiple scenarios on a benchmark continuously stirred tank reactor (CSTR) application with fluctuations in market demand and price for multiple products. Economic performance surpasses cyclic scheduling in all scenarios presented. Computational performance is sufficiently light to enable online operation in a dual-loop feedback structure.

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“…In addition, the use of EMPC for the economic‐oriented control and energy management of buildings heating, ventilation, and air conditioning (HVAC) systems has been considered by transforming the scheduling and control problem into a hierarchy of coordinated controllers to deal with the multiple time scale dynamic behavior of buildings, and the complexity that arises from having integer decision variables . Integrating scheduling and control for continuous processes under dynamic product demand changes was proposed where a model predictive controller was used to track the schedule set‐points . Another application of combining scheduling with control is for a post‐combustion CO 2 capture process …”

Section: Introductionmentioning

confidence: 99%

“…25 Integrating scheduling and control for continuous processes under dynamic product demand changes was proposed where a model predictive controller was used to track the schedule set-points. 6 Another application of combining scheduling with control is for a post-combustion CO 2 capture process. 26 Typically, only a subset of the components of the total process state vector is required to follow a production schedule.…”

Section: Introductionmentioning

confidence: 99%

“…[5][6][7][8] Shifts in demand and supply of certain products occur constantly and finding reliable methods to achieve the desired production has become necessary. 9,10 It has become common in the chemical industry to produce multiple products from the same plant in both batch and continuous processes 6,8,11 such as the production of multiple grades of polyethylene. 12 Various studies have considered the integration of planning and scheduling in supply chain optimization to achieve economically optimal operational management in response to the desired demand.…”

Section: Introductionmentioning

confidence: 99%

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An economic model predictive control approach to integrated production management and process operation

et al. 2016

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Managing production schedules and tracking time‐varying demand of certain products while optimizing process economics are subjects of central importance in industrial applications. We investigate the use of economic model predictive control (EMPC) in tracking a production schedule. Specifically, given that only a small subset of the total process state vector is typically required to track certain scheduled values, we design a novel EMPC scheme, through proper construction of the objective function and constraints, that forces specific process states to meet the production schedule and varies the rest of the process states in a way that optimizes process economic performance. Conditions under which feasibility and closed‐loop stability of a nonlinear process under such an EMPC for schedule management can be guaranteed are developed. The proposed EMPC scheme is demonstrated through a chemical process example in which the product concentration is requested to follow a certain production schedule. © 2016 American Institute of Chemical Engineers AIChE J, 63: 1892–1906, 2017

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A reactive optimization strategy for the simultaneous planning, scheduling and control of short-period continuous reactors

Cited by 26 publications

References 23 publications

Economic Benefit from Progressive Integration of Scheduling and Control for Continuous Chemical Processes

Economic Benefit from Progressive Integration of Scheduling and Control for Continuous Chemical Processes

Combined Noncyclic Scheduling and Advanced Control for Continuous Chemical Processes

An economic model predictive control approach to integrated production management and process operation

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