Global optimization for scheduling refinery crude oil operations
نویسندگان
چکیده
منابع مشابه
Global optimization for scheduling refinery crude oil operations
In this work we present an Outer-Approximation algorithm to obtain the global optimum of a nonconvex Mixed Integer Nonlinear Programming (MINLP) model for the scheduling of crude oil movement at the front-end of a petroleum refinery. The model relies on a continuous time representation making use of transfer events. The proposed technique focuses on effectively solving a Mixed Integer Linear Pr...
متن کاملOptimal Scheduling of Refinery Crude-Oil Operations
This thesis deals with the development of mathematical models and algorithms for optimizing refinery crude-oil operations schedules. The problem can be posed as a mixed-integer nonlinear program (MINLP), thus combining two major challenges of operations research: combinatorial search and global optimization. First, we propose a unified modeling approach for scheduling problems that aims at brid...
متن کاملOptimization Techniques for Blending and Scheduling of Oil-refinery Operations
This paper presents a novel MILP formulation that addresses the simultaneous optimization of the short-term scheduling and blending problem in oil-refinery applications. Depending on the problem characteristics as well as the required flexibility in the solution, the model can be based on either a discrete or a continuous-time domain representation. In order to preserve the model’s linearity, a...
متن کاملA simultaneous optimization approach for off-line blending and scheduling of oil-refinery operations
This paper presents a novel MILP-based method that addresses the simultaneous optimization of the off-line blending and the short-term scheduling problem in oil-refinery applications. Depending on the problem characteristics as well as the required flexibility in the solution, the model can be based on either a discrete or a continuous-time domain representation. In order to preserve the model’...
متن کاملGenetic algorithms applied to scheduling and optimization of refinery operations
This paper presents a Genetic Algorithm-based method to optimize the production schedule of the fuel oil and asphalt section in a petroleum refinery. Two Genetic Algorithm models were developed to establish the sequence and size of all production shares. A special mutation operator was also proposed to minimize the number of changes in the production. A multi-objective fitness evaluation techni...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computers & Chemical Engineering
سال: 2008
ISSN: 0098-1354
DOI: 10.1016/j.compchemeng.2007.11.008