| Texto completo | |
| Autor(es): |
Yang, Haokun
[1]
;
Bernal, David E.
[1]
;
Franzoi, Robert E.
[2]
;
Engineer, Faramroze G.
[3]
;
Kwon, Kysang
[3]
;
Lee, Sechan
[3]
;
Grossmann, Ignacio E.
[1]
Número total de Autores: 7
|
| Afiliação do(s) autor(es): | [1] Carnegie Mellon Univ, Dept Chem Engn, Pittsburgh, PA 15213 - USA
[2] Univ Sao Paulo, Dept Chem Engn, BR-05508010 Sao Paulo, SP - Brazil
[3] SK Innovat, Optimizat & Analyt Lab, Seoul 110728 - South Korea
Número total de Afiliações: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | Computers & Chemical Engineering; v. 138, JUL 12 2020. |
| Citações Web of Science: | 0 |
| Resumo | |
In this work, a Mixed-Integer Nonlinear Programming (MINLP) modeling framework for integrating short-term Crude-oil Scheduling (CS) and mid-term Refinery Planning (RP) has been developed and effectively solved by a proposed Lagrangean Decomposition (LD) algorithm. The principles of this integration are based on the fact that both Crude-oil Scheduling and Refinery Planning have their economic net values as their objectives, and that they are physically linked by Crude Distillation Units (CDUs). A multi-scale approach is proposed in the framework to aggregate continuous- and discrete-time formulations in CS and RP, respectively. Compared to hierarchically solving the non-integrated CS and RP, computational results show significant improvement regarding the economic objective values. Moreover, the proposed LD approach requires less CPU time converging to a small (1%-5%) optimality gap when compared to the monolithic approach using state-of-the-art MINLP solvers. (C) 2020 Elsevier Ltd. All rights reserved. (AU) | |
| Processo FAPESP: | 18/04942-4 - Integração da modelagem não-linear de pontos de corte de destilação na otimização da programação de produção online da refinaria |
| Beneficiário: | Robert Eduard Franzoi Junior |
| Modalidade de apoio: | Bolsas no Exterior - Estágio de Pesquisa - Doutorado Direto |