| Journal: | Brazilian journal of chemical engineering |
| Database: | PERIÓDICA |
| System number: | 000308812 |
| ISSN: | 0104-6632 |
| Authors: | Joly, M1 Moro, L.F.L Pinto, J.M |
| Institutions: | 1Universidade de Sao Paulo, Departamento de Engenharia Quimica, Sao Paulo. Brasil |
| Year: | 2002 |
| Season: | Abr |
| Volumen: | 19 |
| Number: | 2 |
| Pages: | 207-228 |
| Country: | Brasil |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Experimental, aplicado |
| English abstract | The objective of this paper is the development and solution of nonlinear and mixed-integer (MIP) optimization models for real-world planning and scheduling problems in petroleum refineries. Firstly, we present a nonlinear planning model that represents a general refinery topology and allows implementation of nonlinear process models as well as blending relations. The optimization model is able to define new operating points, thus increasing the production of the more valuable products and simultaneously satisfying all specification constraints. The second part addresses scheduling problems in oil refineries, which are formulated as MIP optimization models and rely on both continuous and discrete time representations. Three practical applications closely related to the current refinery scenario are presented. The first one addresses the problem of crude oil inventory management of a refinery that receives several types of crude oil delivered exclusively by a single oil pipeline. Subsequently, two optimization models intended to define the optimal production policy, inventory control and distribution are proposed and solved for the fuel oil and asphalt plant. Finally, the planning model of Moro et al. (1998) is extended in order to sequence decisions at the scheduling level in the liquefied petroleum gas (LPG) area for maximization of the production of petrochemical-grade propane and product delivery |
| Disciplines: | Química, Ingeniería |
| Keyword: | Ingeniería petrolera, Ingeniería química, Refinerías, Planeación, Calendarización, Investigación de operaciones |
| Keyword: | Chemistry, Engineering, Chemical engineering, Petroleum engineering, Refineries, Planning, Scheduling, Operations research |
| Full text: | Texto completo (Ver HTML) |
