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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A moving horizon rescheduling framework for continuous nonlinear processes with disturbances

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Author(s):
Franzoi, Robert E. [1, 2] ; Menezes, Brenno C. [2] ; Kelly, Jeffrey D. [3] ; Gut, Jorge A. W. [1]
Total Authors: 4
Affiliation:
[1] Univ Sao Paulo, Chem Engn Dept, Sao Paulo - Brazil
[2] Hamad Bin Khalifa Univ, Qatar Fdn, Coll Sci & Engn, Div Engn Management & Decis Sci, Doha - Qatar
[3] Ind Algorithms Ltd, 15 St Andrews Rd, Toronto, ON - Canada
Total Affiliations: 3
Document type: Journal article
Source: CHEMICAL ENGINEERING RESEARCH & DESIGN; v. 174, p. 276-293, OCT 2021.
Web of Science Citations: 0
Abstract

Scheduling decision-making is often calculated and implemented using unreliable or inaccurate data from process networks, therefore infeasibilities and inconsistencies in the production are expected. For improved operations, it is fundamental to minimize plantmodel mismatches, in which the current state of the system is continuously updated. The moving horizon rescheduling framework proposed herein is based on a systematic bi-layer framework that simulates the closed-loop scheduling within a moving horizon approach. It handles disturbances, reduces plant-model mismatches by updating the state of the system, and provides a systematic fashion for improved rescheduling implementation. The framework can handle multiple types of problems and formulations over a wide variety of applications, and includes several modeling and solving techniques especially useful for large-scale and complex applications. We believe the methodologies and ideas addressed herein are meaningful for further development of industrial tools and software to be used within process systems engineering. (c) 2021 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 18/04943-0 - On the design and solution of an online refinery scheduling algorithm for open-loop and closed-loop strategies
Grantee:Robert Eduard Franzoi Junior
Support Opportunities: Scholarships abroad - Research Internship - Doctorate (Direct)
FAPESP's process: 17/03310-1 - Integrated scheduling optimization in the crude-oil refinery industry: from crude-oil unloading to fuel deliveries
Grantee:Robert Eduard Franzoi Junior
Support Opportunities: Scholarships in Brazil - Doctorate (Direct)