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Integrated scheduling optimization in the crude-oil refinery industry: from crude-oil unloading to fuel deliveries

Grant number: 17/03310-1
Support type:Scholarships in Brazil - Doctorate (Direct)
Effective date (Start): August 01, 2017
Effective date (End): February 28, 2021
Field of knowledge:Engineering - Chemical Engineering - Industrial Operations and Equipment for Chemical Engineering
Principal researcher:Jorge Andrey Wilhelms Gut
Grantee:Robert Eduard Franzoi Junior
Home Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Associated scholarship(s):18/04942-4 - Integration of the nonlinear distillation cutpoint modeling into the online refinery scheduling optimization, BE.EP.DD   18/04943-0 - On the design and solution of an online refinery scheduling algorithm for open-loop and closed-loop strategies, BE.EP.DD

Abstract

The integrated scheduling optimization inside the oil-refinery industry is a challenging problem to be solved as it involves decisions concerning logistics and storage of crude-oil feedstocks and product fuels as well as the processing in the refinery network. Approaches to promote the integration of these multi-entity, multi-activity and multi-resource decision-making problems requires good modeling and efficient solving capabilities recognizing the difficulties posed given its logistics and quality aspects. Modeling of these types of processes reliably and accurately is difficult due to the complexities and uncertainties in the feed quality, operating conditions, process measurements, etc. Hitherto, previous literature on the topic of crude-oil scheduling optimization covered the scheduling only from the crude-oil unloading and storage up to the distillation straight-run streams. This research proposal is to extend the scope of the crude-oil scheduling optimization from the crude-oil deliveries through to the product liftings via the refinery process-shop by using closed-loop, on-line and routine process feedback data from the field and laboratory measurements, for better process-shop predictions, integrated with the scheduling cycle. Models for cutpoint optimization of distillates in crude-oil distillation towers is intended in the research. The modeling platform in use to solve the scheduling problem in crude-oil refineries is the IMPL (Industrial Modeling and Programming Language), given its solution of industrial-sized and highly complex problems. (AU)

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
FRANZOI, ROBERT E.; MENEZES, BRENNO C.; KELLY, JEFFREY D.; GUT, JORGE A. W. A moving horizon rescheduling framework for continuous nonlinear processes with disturbances. CHEMICAL ENGINEERING RESEARCH & DESIGN, v. 174, p. 276-293, OCT 2021. Web of Science Citations: 0.
FRANZOI, ROBERT E.; KELLY, JEFFREY D.; MENEZES, BRENNO C.; SWARTZ, CHRISTOPHER L. E. An adaptive sampling surrogate model building framework for the optimization of reaction systems. Computers & Chemical Engineering, v. 152, SEP 2021. Web of Science Citations: 0.
FRANZOI, ROBERT E.; MENEZES, BRENNO C.; KELLY, JEFFREY D.; GUT, JORGE A. W.; GROSSMANN, IGNACIO E. Cutpoint Temperature Surrogate Modeling for Distillation Yields and Properties. Industrial & Engineering Chemistry Research, v. 59, n. 41, p. 18616-18628, OCT 14 2020. Web of Science Citations: 1.
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
JUNIOR, Robert Eduard Franzoi. Integrated scheduling optimization in the crude oil refinery industry: from crude oil unloading to fuel deliveries.. 2021. Doctoral Thesis - Universidade de São Paulo (USP). Escola Politécnica (EP/BC) São Paulo.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.