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Improving bioreactor performance: are two CSTBs always better than one?
| Content Provider | Semantic Scholar |
|---|---|
| Author | Sidhu, Harvinder S. Nelson, Mark I. |
| Copyright Year | 2005 |
| Abstract | We investigate a bioreactor cascade consisting of two reactors. For a given total residence time, we study how the performance of the reactor (measured either as the cell mass concentration or the reactor productivity) depends upon the feed substrate concentration and the residence time in the first reactor. The bioreactor model in this study uses a growth rate that is given by a Monod expression with a yield coefficient that is a linear function of the substrate concentration. Previous researchers have compared the performance o f a tworeactor system against a single reactor with the same total residence time. The main focus of this paper is to show that the performance o f a two-reactor cascade should not be gauged in this manner, as comparisons using this criterion can give grossly misleading results. Our analysis shows that before maximising the performance o f a cascade, we must first consider the performance o f a single reactor system as a benchmark. Disciplines Physical Sciences and Mathematics Publication Details Nelson, M. I. & Sidhu, H. S. (2005). Improving bioreactor performance: are two CSTBs always better than one?. In M. Hardin (Eds.), Chemeca: Australasian Conference on Chemical Engineering. Australia: Institute of Engineers. This conference paper is available at Research Online: http://ro.uow.edu.au/infopapers/2656 Improving Bioreactor Performance: Are Two CSTBs Always Better Than One? Abstract H.S. Sidhu School of Physical, Environmental and Mathematical Sciences University of New South Wales at The Australian Defence Force Academy Canberra ACT2600 AUSTRALIA E-mail: h.sidhu@adfa.edu.au M.I. Nelson School of Mathematics and Applied Statistics The University o f Wollongong Wollongong, NSW 2522 AUSTRALIA E-mail: nelsonm@member.ams.orgH.S. Sidhu School of Physical, Environmental and Mathematical Sciences University of New South Wales at The Australian Defence Force Academy Canberra ACT2600 AUSTRALIA E-mail: h.sidhu@adfa.edu.au M.I. Nelson School of Mathematics and Applied Statistics The University o f Wollongong Wollongong, NSW 2522 AUSTRALIA E-mail: nelsonm@member.ams.org Stankiewicz and Kuczynski 1995). We investigate a bioreactor cascade consisting o f two reactors. For a given total residence time, we study how the performance o f the reactor (measured either as the cell mass concentration or the reactor productivity) depends upon the feed substrate concentration and the residence time in the first reactor. The bioreactor model in this study uses a growth rate that is given by a Monod expression with a yield coefficient that is a linear function o f the substrate concentration. Previous researchers have compared the performance o f a two-reactor system against a single reactor with the same total residence time. The main focus o f this paper is to show that the performance o f a two-reactor cascade should not be gauged in this manner, as comparisons using this criterion can give grossly misleading results. Our analysis shows that before maximising the performance o f a cascade, we must first consider the performance o f a single reactor system as a benchmark. The possibility of combining the advantages of periodic operation with the benefits o f using two reactors arranged in series through the use of ‘natural oscillations’ have been investigated by several authors (Yang and Su, 1993, Chen et al 1995, Ray 1995, Balakrishnan and Yang 1998, Jianqiang and Ray 2000). By ‘natural oscillations’ it is meant that the process parameters are chosen so that a steady input of reactants into the first reactor generates self-sustained oscillations in its output. This output then forces the second reactor. Improvements in reactor performance are therefore achieved without the additional costs associated with external periodic forcing. Consequently, this approach harnesses all the advantages o f periodic forcing without the expense of implementing such perturbations. Significant increases in product yields have been shown to be theoretically possible, when this approach is applied to various biochemical processes. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://ro.uow.edu.au/cgi/viewcontent.cgi?article=9992&context=infopapers&httpsredir=1&referer= |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
