Post-combustion capture by chemical absorption using MEA solvent remains one of the most popular technologies for CO 2 emission mitigation for coal-fired power plants. This paper presents a study of the dynamic responses of a post-combustion CO 2 capture plant by modelling and simulation. Such a plant consists mainly of the absorber (where CO 2 is chemically absorbed) and the regenerator (where the chemical solvent is regenerated). Model development and validation are described followed by dynamic analysis of the absorber and regenerator columns linked together with recycle. The gPROMS (Process Systems Enterprise Ltd.) advanced process modelling environment has been used to implement the proposed work. The study gives insights into the operation of the absorber-regenerator combination with possible disturbances arising from integrated operation with a power generation plant. It is shown that the performance of the absorber is more sensitive to the molar L/G ratio than the actual flow rates of the liquid solvent and flue gas. In addition, the importance of appropriate water balance in the absorber column is shown. A step change of the reboiler duty indicates a slow response. A case involving the combination of two fundamental CO 2 capture technologies (the partial oxyfuel mode in the furnace and the postcombustion solvent scrubbing) is studied. The flue gas composition was altered to mimic that observed with the combination. There was an initial sharp decrease in CO 2 absorption level which may not be observed in steady state simulations.

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Model-based analysis of cellular metabolism can facilitate our understanding of intracellular kinetics and aid the improvement of cell growth and biological product manufacturing. In this paper, a model-based kinetic study of cytosolic glucose metabolism for two industrially relevant cell lines, Saccharomyces cerevisiae and Chinese hamster ovary (CHO) cells, based on enzyme genetic presence and expression information is described. We have reconstructed the cytosolic glucose metabolism map for S. cerevisiae and CHO cells, containing 18 metabolites and 18 enzymes using information from the Kyoto Encyclopedia of Genes and Genomes (KEGG). Based on this map, we have developed a kinetic mathematical model for the pathways involved, considering regulation and/or inhibition by products or co-substrates. The values of the maximum rates of reactions (V max ) were estimated based on kinetic parameter information and metabolic flux analysis results available in literature and resulting simulation results for steady state metabolite concentrations are

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