Material Selection using Multi-criteria decision making methods (MCDM) for design a multi-tubular packed-bed Fischer-Tropsch reactor (MPBR)

The future of the fossil fuel supply is uncertain. For this reason, it is necessary the transition from a fossil based to a biobased for greenhouse gas emissions reduction targets, and climate change. In this regards, multi tubular packed-bed reactor Fischer-Tropsch (MPBR) appears has an essential technology to improve and reduce cost of operation. For design a MPBR, many studies has been used CFD for detailed evaluation of reaction systems. This research use Multi-criteria decision making methods (MCDM) for the material selection of a MPBR. This project focuses on the design for selecting an alternative material which best fits the technological requirements to make the pipes and the vessel of a MPBR and reduce the cost of production. The MCMD methods implemented are complex proportional assessment of alternatives with gray relations (COPRAS-G), operational competitiveness rating analysis (OCRA), a new additive ratio assessment (ARAS) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods. The criteria weighting was performed by compromised weighting method composed of AHP (analytic hierarchy process) and Entropy methods. The ranking results showed that ASME SA-106 and ASME SA-106 would be the best materials for the pipes and the vessel of a MPBR.

[1]  Goran N. Jovanovic,et al.  Numerical study of flow uniformity and pressure characteristics within a microchannel array with triangular manifolds , 2013, Comput. Chem. Eng..

[2]  Enrique Iglesia,et al.  Design, synthesis, and use of cobalt-based Fischer-Tropsch synthesis catalysts , 1997 .

[3]  Yong Kyu Lee,et al.  Design and modeling of large-scale cross-current multichannel Fischer–Tropsch reactor using channel decomposition and cell-coupling method , 2015 .

[4]  Mario Montes,et al.  Kinetic analysis and microstructured reactors modeling for the Fischer–Tropsch synthesis over a Co–Re/Al2O3 catalyst , 2013 .

[5]  Prasenjit Chatterjee,et al.  Materials selection using complex proportional assessment and evaluation of mixed data methods , 2011 .

[6]  S. M. Sapuan,et al.  Material screening and choosing methods: A review , 2010 .

[7]  Graham J. Borradaile,et al.  Statistics of Earth Science Data: Their Distribution in Time, Space and Orientation , 2003 .

[8]  F. Findik,et al.  Materials selection for lighter wagon design with a weighted property index method , 2012 .

[9]  Effect of materials selection and design on the performance of an engineering product – An example from petrochemical industry , 2007 .

[10]  P. M. Diéguez,et al.  Methane steam reforming in a microchannel reactor for GTL intensification: A computational fluid dynamics simulation study , 2009 .

[11]  Edmundas Kazimieras Zavadskas,et al.  Evaluating the construction methods of cold-formed steel structures in reconstructing the areas damaged in natural crises, using the methods AHP and COPRAS-G , 2012 .

[12]  Thomas L. Saaty,et al.  How to Make a Decision: The Analytic Hierarchy Process , 1990 .

[13]  Celik Parkan,et al.  Measurement of the performance of an investment bank using the operational competitiveness rating procedure , 1999 .

[14]  Rajamani Krishna,et al.  Design and scale-up of the Fischer–Tropsch bubble column slurry reactor , 2000 .

[15]  Johan Grievink,et al.  Development of a synthesis tool for Gas-To-Liquid complexes , 2012, Comput. Chem. Eng..

[16]  Edmundas Kazimieras Zavadskas,et al.  A Novel Method for Multiple Criteria Analysis: Grey Additive Ratio Assessment (ARAS-G) Method , 2010, Informatica.

[17]  M. Dry,et al.  Practical and theoretical aspects of the catalytic Fischer-Tropsch process , 1996 .

[18]  David Cebon,et al.  Selection strategies for materials and processes , 2002 .

[19]  R. Khorshidi,et al.  Comparative analysis between TOPSIS and PSI methods of materials selection to achieve a desirable combination of strength and workability in Al/SiC composite , 2013 .