Titulo: (Inglés y Español): Oil Refinery Scheduling Optimisation/ Optimizaciòn de Programación en Refinerías de Petroleo
Autor: Támara Cassio
Tipo de Estudio: Tesis
Título obtenido: Master of Science in Process Systems Engineering, Cranfield University, Bedfordshire, United Kingdom
Beneficiario Colfuturo Promoción : 2002.
Año de publicación o aprobación tesis: 2003
Idioma: Inglés
Dirección de
correo electrónico: cassiotamara@hotmail.com
Distinciones (si las obtuvo): TRW Foundation Prize for the Academic Year 2002/03 in recognition of the academic achievement at The school of Engineering in the Cranfield University.
RESUMEN ( inglés): 283 palabras
Nowadays, the development of global competition has been one of the main factors that have driven the efforts toward the optimisation development. Therefore, oil refineries have been encouraged to be restructured for competing successfully in this new scenario with low profit margin, tighter environmental regulations and more efficient plant operation. However, many years and a lot of human and computational efforts have been dedicated to improve the techniques applied for the overall refinery optimisation. Good developments have come successfully operating at the planning level; but developing and solving rigorous overall plant optimisation models at the production scheduling level still are at research stage and much more work must be done to continue improving in this field through the involvement of difficult tasks due to the mathematical complexity of the models which have the compulsory use of a large quantity of equations and variables that hugely increase the size of the problem
This Thesis presents a new generic mixed integer linear programming model for optimising the scheduling of crude oil unloading, inventories, blending and feed to oil refineries that usually unload several kinds of crude oils with different compositions. The objective function of the model consists on minimising the operational cost generated during the mentioned operation. Case studies are presented and compared each other illustrating the capabilities of the model to solve operation scheduling problems in this area and to support future expansion projects for the system as they happen in real situations. The solution involves optimal operation of crude oil unloading, optimal transfer rates among equipments in accordance with the pumping capacities and tank volume limitations, optimal oscillation of crude oil blended compositions and fulfilment of the oil charging demand per process unit. border’s fringe.
Palabras clave (español, inglés): Planning; Scheduling; mixed integer linear programming; oil refinery operation; multistage system optimization; general algebraic modeling system; gams; crude oil unloading / Planeación, Programación, programación lineal de enteros mixtos; operación de refinerías de petroleo; optimización de sistemas multietapas; sistema de modelación algebraica general; descarga de crudos
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