Dynamic Process ModelingInspired by the leading authority in the field, the Centre for Process Systems Engineering at Imperial College London, this book includes theoretical developments, algorithms, methodologies and tools in process systems engineering and applications from the chemical, energy, molecular, biomedical and other areas. It spans a whole range of length scales seen in manufacturing industries, from molecular and nanoscale phenomena to enterprise-wide optimization and control. As such, this will appeal to a broad readership, since the topic applies not only to all technical processes but also due to the interdisciplinary expertise required to solve the challenge. The ultimate reference work for years to come. |
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activity adsorbent adsorption algorithm analysis application approach balance behavior biological calculated Chemical Engineering Science coefficient column complex component computational concentration correlation crystallization Desalination described diffusion dimensionless discretization distillation distribution dynamic model effect endotoxemia endotoxin Engineering Chemistry Research epinephrine equations experimental data experiments finite element flow flux fuel cell function gene glucose gPROMS granulation growth heat transfer inflammatory initial insulin interactions interface Journal Kenig kinetic liquid phase mass transfer mathematical model membrane methods model parameters model predictive control model-based molecular molecules monomer mRNA multiscale models nonlinear nucleation ofthe operating optimization output parameter estimation particle phenomena polymer polymerization predictive pressure pressure swing adsorption process modeling Process Systems production profiles proinflammatory reaction reactive reactor represents response ribosomes RNA polymerase scale signal simulation solution spatial stochastic structure structured packings synthetic biology techniques temperature tion transcription transcription factors transport values variables vector