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Some strategies for the kinetic study of complex heterogeneous catalytic reactions
Author(s) -
Xu Jianguo,
Hoffmann Ulrich
Publication year - 1990
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.270130154
Subject(s) - methanol , catalysis , linear regression , kinetic energy , regression analysis , computation , stepwise regression , chemistry , biological system , mathematics , set (abstract data type) , thermodynamics , mathematical optimization , computer science , algorithm , statistics , organic chemistry , physics , quantum mechanics , biology , programming language
This paper presents a method of transforming the non‐liner regression problem in the kinetic study of complex heterogeneous catalytic reactions into a linear regression problem. Application of this method reduced the number of parameters to be estimated by n ‐1, where n is the number of independent reactions. In addition, a stepwise model discrimination strategy in introduced to reduce the number of equation sets ad equations in the set undergoing parameter estimation. These two new approaches are very advantageous in reducing the computation effort, especially when the number of independent reactions is large. The linear regression method and the stepwise model discrimination strategy are successfully applied in the kinetic study of the methanol synthesis system in which the formation rates of methanol, methane, ethanol and ethane are considered.