2 edition of Dynamic modelling for the control of imperfectly mixed bioreactors found in the catalog.
Dynamic modelling for the control of imperfectly mixed bioreactors
Ebenezer Olatunji Bamidele Anjorin
Published
1994
by University of Birmingham in Birmingham
.
Written in
Edition Notes
Thesis (Ph.D) - University of Birmingham, School of Chemical Engineering, 1995.
Statement | by Ebenezer Olatunji BamideleAnjorin. |
ID Numbers | |
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Open Library | OL21764466M |
Its all about technology futures. Cai, Q, Brandon, NP and Adjiman, CS () Modelling the dynamic response of a solid oxide steam electrolyser to transient inputs during renewable hydrogen production Frontiers of Energy and Power Engineering in China, 4 (2). pp.
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Dynamic sensitivity of a chemostat for a microbial reaction with substrate and product inhibition P. Patnaik Institute of Microbial Technology, Chandigarh, India A general microbial reaction with inhibition by its substrate and product has been analyzed for its time-varying sensitivities and the effect of step disturbances in the dilution rate and/or the feed substrate by: NARMA-L2 neural control of a bioreactor Bioreactors are Artificial neural networks dynamic system identification using feedforward neural networks dynamic system modelling modelling and.
Numerical Tools for Scaling Up Bioreactors. in biomass productivity and the increase of by-product formation in imperfectly mixed bioreactors. In most modelling works on bioreactors, the Author: Jérôme Morchain.
The products in commerce today that are produced by Bacillus fermentations include enzymes antibiotics, and insecticides. This chapter focuses on the basic principles necessary for an understanding of growth and product production in Bacillus spp.
The authors show the important link between some very basic observations and how these can be (and need to be) applied in medium development Cited by: Get this from a library. UKACC International Conference on Control '98, Septembervenue, University of Wales, Swansea, UK.
[Institute of Chemical Engineers (Great Britain). Process Control Subject Group.; British Computer Society.; et al]. in imperfectly mixed batch reactors).
Formulation, characterization, and application of immobilized cell catalysts are examined. Multiphase reactors, in-cluding packed beds, fluidized beds, and trickle re-actors are treated, and an entire section is devoted to reactors for plant and animal cell propagation. The starting point for this research was the lumped parameter system, already described by McAvoy () and not discussed in this paper.
A lumped parameter system (Fig. 1 – the upper part) is the first possible approximation of the distributed parameter process, assuming that the feed of reagents into the mixer takes place at its beginning and under the circumstances of ideal by: This unique book, by world experts with decades of research and industrial experience, is a must for researchers and industrial practitioners of fed-batch processes (modeling, control, and optimization) in biotechnology, fermentation, food, pharmaceuticals, and waste treatment industries.
DEA1 DEA DEA DEA1 DE A1 DE A1 DE A1 DE A DE A DE Author: Anmelder Gleich. Design and operation of mixing systems using agitated vessels is a difficult task due to the challenge of obtaining accurate information on impeller-induced turbulence.
The use of Computational Fluid Dynamics (CFD) can provide detailed understanding of such systems. In this study, experimental tests and computational fluid dynamics simulations were performed to examine the flow characteristics Cited by: 6.
book of abstracts. Download PDF. 8 downloads 11 Views 4MB Size Report. Flanders uses dynamic spatial modelling (‘RuimteModel’) for prioritization and sustainable management of contaminated sites Implications of the changes in the Polish legislation on remediation issues in recent years on the sustainable management of.
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Biofilms are examples of microbial communities, the components of which may number several hundred species. () Individual-based modelling.
This includes systems with finite or infinite state spaces, as well as perfectly or imperfectly observed systems. We will also discuss approximation methods for problems involving large state spaces.
Applications of dynamic programming in a variety of fields will be covered in recitations. Dynamic Programming and Stochastic Control (MIT). Abstract book - 3rd International Conference on Microbial Diversity Microbial Diversity THE CHALLENGE OF COMPLEXITY MD Edited by: Gianluigi Cardinali University of Perugia Laura Corte University of Perugia Luca Roscini University of Perugia Sergio Casella University of Padova Luca Cocolin University of Torino Erasmo Neviani University of Parma SIMTREA, Società Italiana di.
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