An expert system applied to the control of an industrial-scale bioreactor

Design and Hydrodynamics of a Novel Multidowncomer Bubble-Breaking Tray

“…The residual pressure drop, denoted as h σ , represents the pressure drop that overcomes the liquid surface tension, as well as the energy loss due to gas–liquid turbulence. Based on the calculation models of residual pressure drop found in the literature, , the correlation for the residual pressure drop of the MDBB tray is presented as eq . h σ = 0 . 2912 σ false( ρ l × d 0 ) − 1 …”

Design and Hydrodynamics of a Novel Multidowncomer Bubble-Breaking Tray

“…The residual pressure drop, denoted as h σ , represents the pressure drop that overcomes the liquid surface tension, as well as the energy loss due to gas–liquid turbulence. Based on the calculation models of residual pressure drop found in the literature, , the correlation for the residual pressure drop of the MDBB tray is presented as eq . h σ = 0 . 2912 σ false( ρ l × d 0 ) − 1 …”

Quantitative Analysis of the Key Factors Affecting Yeast Growth

“…2,9 This limits the use of an expert program for optimization which requires that the information acquired in previous runs should be stored in the system database. 7 A dynamic approach to bioprocess optimization could be carried out by the employment of a mathematical model developed to describe yeast growth in an industrial bioreactor, together with a finite-horizon cost criterion. 6 The reliability of the mathematical model proposed should be therefore tested under different operative conditions.…”

“…The control of the molasses feed profile, performed with a feedback loop based on data collected from exhaust gas analysis (O 2 and CO 2 ) and/or ethanol sensors, − has not proved to be economically advantageous, so industrial fed-batch production of baker's yeast is still carried out in open loop conditions, and the empirically established molasses feed profiles are kept as manufacturing secrets. , Other than feed control, optimization of the entire bioprocess through the choice of optimal bioreactor size, process duration, and initial concentration of inoculum is the goal of industrial production . Major problems arise from the fact that yeast growth rate depends on both the strain employed and composition of molasses, the latter varying considerably according to the refinery technology and agricultural and climate conditions. , This limits the use of an expert program for optimization which requires that the information acquired in previous runs should be stored in the system database …”

Design and Hydrodynamics of a Novel Multidowncomer Bubble-Breaking Tray

“…The residual pressure drop, denoted as h σ , represents the pressure drop that overcomes the liquid surface tension, as well as the energy loss due to gas–liquid turbulence. Based on the calculation models of residual pressure drop found in the literature, , the correlation for the residual pressure drop of the MDBB tray is presented as eq . h σ = 0 . 2912 σ false( ρ l × d 0 ) − 1 …”

Quantitative Analysis of the Key Factors Affecting Yeast Growth

“…2,9 This limits the use of an expert program for optimization which requires that the information acquired in previous runs should be stored in the system database. 7 A dynamic approach to bioprocess optimization could be carried out by the employment of a mathematical model developed to describe yeast growth in an industrial bioreactor, together with a finite-horizon cost criterion. 6 The reliability of the mathematical model proposed should be therefore tested under different operative conditions.…”

“…The control of the molasses feed profile, performed with a feedback loop based on data collected from exhaust gas analysis (O 2 and CO 2 ) and/or ethanol sensors, − has not proved to be economically advantageous, so industrial fed-batch production of baker's yeast is still carried out in open loop conditions, and the empirically established molasses feed profiles are kept as manufacturing secrets. , Other than feed control, optimization of the entire bioprocess through the choice of optimal bioreactor size, process duration, and initial concentration of inoculum is the goal of industrial production . Major problems arise from the fact that yeast growth rate depends on both the strain employed and composition of molasses, the latter varying considerably according to the refinery technology and agricultural and climate conditions. , This limits the use of an expert program for optimization which requires that the information acquired in previous runs should be stored in the system database …”

Design and Hydrodynamics of a Novel Multidowncomer Bubble-Breaking Tray

“…The residual pressure drop, denoted as h σ , represents the pressure drop that overcomes the liquid surface tension, as well as the energy loss due to gas–liquid turbulence. Based on the calculation models of residual pressure drop found in the literature, , the correlation for the residual pressure drop of the MDBB tray is presented as eq . h σ = 0 . 2912 σ false( ρ l × d 0 ) − 1 …”

Quantitative Analysis of the Key Factors Affecting Yeast Growth

“…2,9 This limits the use of an expert program for optimization which requires that the information acquired in previous runs should be stored in the system database. 7 A dynamic approach to bioprocess optimization could be carried out by the employment of a mathematical model developed to describe yeast growth in an industrial bioreactor, together with a finite-horizon cost criterion. 6 The reliability of the mathematical model proposed should be therefore tested under different operative conditions.…”

“…The control of the molasses feed profile, performed with a feedback loop based on data collected from exhaust gas analysis (O 2 and CO 2 ) and/or ethanol sensors, − has not proved to be economically advantageous, so industrial fed-batch production of baker's yeast is still carried out in open loop conditions, and the empirically established molasses feed profiles are kept as manufacturing secrets. , Other than feed control, optimization of the entire bioprocess through the choice of optimal bioreactor size, process duration, and initial concentration of inoculum is the goal of industrial production . Major problems arise from the fact that yeast growth rate depends on both the strain employed and composition of molasses, the latter varying considerably according to the refinery technology and agricultural and climate conditions. , This limits the use of an expert program for optimization which requires that the information acquired in previous runs should be stored in the system database …”