Nonlinear Optimization of Refinery Hydrogen Management

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Khajehpour, Maryam | 2009

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 39642 (06)
University: Sharif University of Technology
Department: Chemical and Petroleum Engineering
Advisor(s): Farhadi, Fathollah; Pishvaie, Mahmoud Reza
Abstract:
Considering the existing facilities and conditions, this study has been done to achieve the optimum of Hydrogen distribution in a refinery network. Tehran Refinery is the case study. First of all, 7 units of north part of Tehran Refinery have been simulated. These units are Hydrogen consumers, producers, and the units which are connected to them. The kinetic of Hydrogen production and consumption reactions and other processes are considered in simulation. The optimization problem solved by Genetic Algorithm method using relations of changes in processes and system constraints as linear and nonlinear equalities and inequalities. Developing the superstructure then reducing it by heuristic rules based on engineering judgment, the formulation has been obtained. The resulting formulation is a Mixed Integer Nonlinear Problem. The Genetic Algorithm obtained for a Hydrogen management problem concept is first solved and validated for literature cases. Based on this optimization, in the refinery 22.6% reduction of Hydrogen production and 57.1% reduction of waste of Hydrogen in fuel gas could be achieved
Keywords:
Optimization ; Hydrogen Management ; Refinery ; Superstructure ; Genetic Algorithm ; Mixed Integer Nonlinear Programming (MINLP) ; Reduced Superstructure

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