Multi-objective optimization of microchannel reactor for Fischer-Tropsch synthesis using computational fluid dynamics and genetic algorithm

Title
Multi-objective optimization of microchannel reactor for Fischer-Tropsch synthesis using computational fluid dynamics and genetic algorithm
Authors
이웅나종걸Krishnadash S. Kshetrimayum한종훈
Keywords
Multi-objective optimization; Fischer-Tropsch; Stochastic optimization; Microchannel reactor; Catalyst packing; Computational fluid dynamics
Issue Date
2014-04
Publisher
Chemical engineering journal
Citation
VOL 313-1534
Abstract
We propose a multi-objective optimization methodology using a stochastic optimization algorithm, a genetic algorithm (GA) with epsilon-constraint method, and a 2D axisymmetric computational fluid dynamics (CFD)-based Fischer-Tropsch microchannel reactor model, validated by experimental data of CO conversion and CH4 selectivity, for simultaneously maximizing C5+ productivity and minimizing the temperature rise of a Fischer-Tropsch microchannel reactor. The main mixed integer nonlinear programming (MINLP) optimization problem is decomposed into an external CFD reactor model function and internal optimization constraints. The methodology is applied to the catalyst packing zone division, which is divided and packed with a different dilution ratio to distribute the heat of reaction evenly. The best solutions of the proposed optimizer are reproducible with different crossover fractions and are more efficient than other traditional non-convex constraint local solvers. Based on the Pareto optimal solution of the final optimizer with 4 zones, discrete dilution increases C5+ productivity to 22% and decreases Delta T-max to 63.2% compared to the single zone catalyst packing case. Finally, several Pareto optimal solutions and sub-optimal solutions are compared and the results are documented in terms of C5+ productivity and maximum temperature increase.
URI
http://pubs.kist.re.kr/handle/201004/67174
ISSN
1385-8947
Appears in Collections:
KIST Publication > Article
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE