Chemical reaction engineering cell models

Calo JM. Cell model studies of radial flow, fixed bed reactors. In Weekman Jr VW, Luss D, editors. Chemical Reaction Engineering—Houston. ACS Symposium Series, Vol. 65. Washington, DC American Chemical Sodetyt 1978 550-561. 

Simplified models that do not make a priori assumptions about one or more dominant resistances are often of the 1-D macrohomogeneous type. The 1-D assumption is similar to that in mass transfer-based models. The assumption of macrohomogeneity, based on work by Newman and Tobias [50], has proven useful in battery and fuel cell electrode modelling. It implies that the microstructure of the electrode is homogeneous at the level of the continuum equations governing mass transfer, heat transfer, and current conduction in the electrode (Eqs. (l)-(7) and (33)-(37)). This type of model can exploit solutions available in chemical reaction engineering practice and has been elaborated by several researchers in that field [51-55],... 

It is important that chemical engineers master an understanding of metabolic engineering, which uses genetically modified or selected organisms to manipulate the biochemical pathways in a cell to produce a new product, to eliminate unwanted reactions, or to increase the yield of a desired product. Mathematical models have the potential to enable major advances in metabolic control. An excellent example of industrial application of metabolic engineering is the DuPont process for the conversion of com sugar into 1,3-propanediol,... 

Porous media finds extensive application in chemical engineering. In certain cases they are simply used to increase the mass transfer rate between two distinct phases, while in certain other cases they are used to disperse the catalyst effectively. Catalytic packed beds are an integral part of any chemical production industry. Solid Oxide Fuel Cells are class of electrochemical devices where porous media finds important application. Over the years many models have been developed to study the transport processes in porous media, starting from simple Fickian approach to complex Dusty Gas Model GDGM). However, very little is done to validate the accuracy of these models under reaction conditions, especially with multi-component species mixtures. 

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