A moving horizon rescheduling framework for continuous nonlinear processes with disturbances

Autor(es)

Franzoi, Robert E. ^{[1, 2]} ; Menezes, Brenno C. ^[2] ; Kelly, Jeffrey D. ^[3] ; Gut, Jorge A. W. ^[1]

Afiliação do(s) autor(es)

^[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

• Tipo de documento: Artigo Científico
• Fonte: CHEMICAL ENGINEERING RESEARCH & DESIGN; v. 174, p. 276-293, OCT 2021.
• Citações Web of Science: 0

Resumo

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)

• Processo FAPESP: 18/04943-0 - Design e solução de um algoritmo de programação de produção online em refinarias para estratégias open-loop e closed-loop
• Beneficiário: Robert Eduard Franzoi Junior
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Doutorado Direto
• Processo FAPESP: 17/03310-1 - Otimização integrada da programação de produção no refino de petróleo: da descarga de óleo até a entrega de combustíveis
• Beneficiário: Robert Eduard Franzoi Junior
• Modalidade de apoio: Bolsas no Brasil - Doutorado Direto