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Report Catalogue Data

  Report Class   General Public Report
  Analysis Type   Situation Analysis
  Issue Category   Technology Analysis
  Release Date   06_19_2008
  Last Update   03_31_2009
  Reference Code   GPR-SA.TA.FT-20080619-BFR

Fermentation Technologies
Batch Fermentation Reactor Analysis


A Batch fermentation Reactor is the vessel within which the fermentation reaction is conducted, and is such that the reaction mixture can be charged into and then left within undisturbed until the reaction is complete, and after which the final reaction product mixture is emptied from. The vessel interior generally is not accessible and is not accessed during the course of the reaction. In effect, neither addition nor removal of substances, to and from respectively the vessel, are made once the reaction has started. Further, this class of bioreactors also exhibit mixedness heterogeneity: Mixing of the microbes with the broth almost certainly never achieves a state of well-mixedness and as such the reaction mixture does not have uniform concentration through out the reactor and as a result, the operations of this reactor must plan for and account for heterogeneity.

The design of the fermentation reactor entails two tasks: Equipment design and Computational design; however, only the former must be performed by every reactor designer, the latter is optional but strongly suggested for well-funded projects, as this aspect of the design can be quite expensive.

Designing, in essence, is the formal synthesis of the results of analysis, on the other hand, analysis is the formal validation of design; as such the two tasks are the same in some respects. In that regard the analysis of the fermentation reactor is a validation of the design of the reactor. 

The equipment design of the reactor task, actually, is the determination of  both the external and internal structure of the equipment as well as the dimensions. The equipment design of this type of reactor must implement all means necessary to ensure the virtual elimination of heterogeneity of the broth or mash during the reaction.

The computational design is a mathematical assessment of the equipment design prior to shipping off the design specification, otherwise called blueprint, to an equipment fabrication shop for manufacture. Mathematical analysis of this type of reactor should aim to include various forms of reaction mixture partitioning coupled with stochastic dispersion to aim to capture the heterogeneity.

Equipment Design
The equipment, for all intents and purpose, is a manifestation of that which was subsumed in the material balances calculations undertaken to ensure compliance with the Laws of Conservation of Mass, for supporting the annual production-volume of ethanol determined to ensure ensure compliance with the Laws of Conservation of Mass, for supporting the annual production-volume of ethanol determined to ensure profitability. So obviously the feed volume and mass will be the same as was assessed for the material balances; and the feed state must also be consistent with the constituents of typical ethanol fermentation reactor stream used in the material balance calculations.

In this context, the equipment design becomes the development of features for handling different aspects of the operational consideration of the


 fermentation reaction:
  • as a closed system equipment, the pre-operations charging of the reactor with the feed is a matter of import to be addressed, while taking care to note also that the equipment can not be accessible while in operation;  moreover, and in particular, the feed must be charged into the reactor through an integrated microbe-specific Mash Feeder specially designed to avert reaction mixture heterogeneity;
  • the decision to stir the reaction-mixture during the progress of the reaction is equally important as such stirring should eliminate potential boundary layer around the microbes, as well as enable sustained intimate mixing of the broth, and the design that must support such stirring is necessary;
  • the manner of dispersion of the microbe in the broth or reaction-mixture is also very important design consideration; the reactor could be operated homogeneously in which case the microbes are simply mixed into the Broth, or possibly heterogeneously in which case the microbes are immobilized on an effective carrier dispersed in the broth;
  • some fermentation reactions, also produce gases either hydrogen or carbon dioxide, hence raising for address the issue of the removal of the gases in course of the reaction, while perhaps making sure that the vessel remains closed,
  • a feature for maintaining the pressure level in the reaction vessel that sustains the applicable dissolved oxygen pressure, making sure that operation is anaerobic is critical, given that as a closed system the sugar concentration reduces with the progression of the reaction and hence aerobic fermentation can not be supported through the course of the reaction;
  • the feature to enable igniting the reaction is also an important one, the Embden Meyerhoff pathway requires Magnesium and Potassium to sustain the glycolysis reaction and hence ignite the reaction, and the timing and introduction of these minerals into the reactor is of careful design as well;

The designer may have to consider other factors as the operations may require, however, the aforementioned features must be designed for. After the design of the operation-specific features of the reactor, the final task of sizing the main body of the vessel comes up. Two approaches can be taken to deal with this consideration, however: The use of rule of thumb and full-scale iterative engineering cost analysis based on the practices of engineering economics. Yet irrespective of the approach adopted the initial dimensions can be based on the rule of thumb calculations:  The height of the reactor should be no more than 12-feet, and the interior diameter of the reactor should be no more than  6-feet; such that  the following calculations are made;

Volume of reactor (Vrxtor) = π(D/2)2H

where D = 6 and H = 12 as per the rule of thumb, next compare batch volume Bvol - as determined

 

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 by material balances - with Vrxtor: If Bvol is less than Vrxtor then reduce reactor size ratio to match Bvol in ratio of height:diameter::2:1; If Bvol is more than Vrxtor then adjust reactor size to half the size of Bvol as to use two reactors; finally if Bvol is the same as Vrxtor then do nothing. The equipment design is then complete, after the appropriate adjustments of the other devices designed for the batch-operations features.

Computational Design
The equipment design evaluation through the computational design is performed in two parts. Though highly valuable this aspect of the design is very intense requiring both the software developer to develop the program and the engineer to develop the mathematical descriptions of the equipment as designed and of the fermentation reaction dynamics.

The first part develops to the extent possible a mathematical description of the fermentation reaction dynamics and conducts simulation of the performance to ascertain that the production volume output and other calculations are within tolerable or pre-set bounds of variation. Mathematical analysis and performance assessment of the fermentation reactor essentially entails use of the reaction rate equation of the catabolic reactions that contribute to the fermentation, and the Monod equation for analysis of the catabolic reaction that contribute to anabolic reaction for cell maintenance. These equations are solved simultaneously over the reaction-time together with the mash constituents depletion rate equation(s)  as defined by the mass balance analysis for a specified extent of reaction.

The second part again develops a mathematical design of the equipment structure and performs a simulation in-operation to test the robustness of the design. The computational analysis of design-robustness  usually aims to assess the equipment by performing stress analysis, vibration analysis if mixing and other test are planned, and other appropriate mechanical robustness tests. This second part of the computational design is usually computation-intensive.


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