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Reduced superstructure solution of MINLP problem in refinery hydrogen management
Khajehpour, M ; Sharif University of Technology | 2009
				
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		- Type of Document: Article
- DOI: 10.1016/j.ijhydene.2009.08.086
- Publisher: 2009
- Abstract:
- Minimizing Hydrogen waste into fuel gas within the H2 network in a refinery is the objective function of an optimization problem in this paper. The superstructure obtained for a refinery wide concept, is first solved and validated for literature cases, then is reduced by heuristic rules, based on engineering judgment. The reduced superstructure contains all simulation procedures of pseudo-components definitions, fine tunings of all unit operations to reach actual operating conditions, reactions characterization, linear and nonlinear equalities and inequalities as system constraints. The set of governing equations are solved with Genetic Algorithm. Based on this optimization, in an Iranian refinery 22.6% reduction of H2 production and a saving of 1.19 million $/year could be achieved. © 2009 Professor T. Nejat Veziroglu
- Keywords:
- Genetic algorithm ; Mixed integer nonlinear programming ; Reduced superstructure ; Refinery ; Superstructure ; Fuel gas ; Governing equations ; Heuristic rules ; Hydrogen management ; Mixed-integer nonlinear programming ; Objective functions ; Operating condition ; Optimization problems ; Pseudo-components ; Reduced super-structure ; Simulation procedures ; System constraints ; Unit operation ; Dynamic programming ; Genetic algorithms ; Hydrogen ; Nonlinear programming ; Optimization ; Refining ; Integer programming
- Source: International Journal of Hydrogen Energy ; Volume 34, Issue 22 , 2009 , Pages 9233-9238 ; 03603199 (ISSN)
- URL: https://www.sciencedirect.com/science/article/abs/pii/S0360319909013329
 
		