Abstract: System and method for determining total inventory of batch and continuous biomass inventories in a biofuel production process. Measured biomass inventory values are received, including batch inventories from multiple batch fermenters and at least one continuous beer well inventory. The values are premised on a controlled vapor pressure of the batch fermenters and beer well(s), where the pressure fluctuates in an uncontrolled manner. A measured vapor pressure for the batch fermenters and beerwell(s) is received, and pressure compensated inventory values determined based on the measured inventory and pressure values. Measured biomass input flow to the batch fermenters and output flow from the beerwell(s) are received, and are premised on a constant biomass temperature and density, where biomass temperature and density fluctuate in an uncontrolled manner. The total inventory of batch and continuous inventories is determined based on the measured flows and the pressure compensated inventory values, and stored.

Abstract: The present invention provides novel techniques for controlling batch reaction processes. In particular, a parametric hybrid model may be used to parameterize inputs and outputs of batch reaction processes. The parametric hybrid model may include an empirical model, a parameter model, and a dynamic model. Critical quality parameters, which are correlated with, but not the same as, end-of-batch quality values for the batch reaction processes may be monitored during cycles of the batch reaction processes. The quality parameters may be used to generate desired batch trajectories, which may be used to control the batch reaction processes during the cycles of the batch reaction processes.

Abstract: The present invention provides novel techniques for optimizing throughput and yield using model predictive control techniques. In particular, the present techniques are presented in the context of biofuel production, wherein the trade off between yields of biofuel production and overall system throughput may be optimized. However, the present techniques may also be applied to any other suitable applications where a batch process of the system may affect a change in a property of the produced product, such as liquor processing.

Abstract: System and method for managing fermentation feed in a biofuel production process, comprising a dynamic multivariate predictive model-based controller coupled to a dynamic multivariate predictive model. The model is executable to: receive process information, including water inventory and biomass information, from the biofuel production process; receive a specified objective for the fermentation feed specifying a target biomass concentration; and generate model output comprising target values for a plurality of manipulated variables of the biofuel production process, including target flow rates of water and/or biomass contributing to the fermentation feed in accordance with the specified objective.

Abstract: A system and method are provided for managing batch fermentation in a biofuel production process. A nonlinear control model of yeast growth and fermentable sugar concentration for biofuel (e.g., fuel ethanol) production in a batch fermentation process (pure and/or fed-batch fermentation) of a biofuel production process is provided. Process information for the batch fermentation process is received, and the nonlinear control model executed using the process information as input to determine values of one or more fermentation process variables for the batch fermentation process, e.g., fermentation temperature and/or enzyme flow, for substantially maximizing yeast growth and achieving target fermentable sugar concentrations.

Abstract: System and method for managing fermentation feed in a biofuel production process, comprising a dynamic multivariate predictive model-based controller coupled to a dynamic multivariate predictive model. The model is executable to: receive process information, including water inventory and biomass information, from the biofuel production process; receive a specified objective for the fermentation feed specifying a target biomass concentration; and generate model output comprising target values for a plurality of manipulated variables of the biofuel production process, including target flow rates of water and/or biomass contributing to the fermentation feed in accordance with the specified objective.

Abstract: A system and method are provided for managing batch fermentation in a biofuel production process. A nonlinear control model of yeast growth and fermentable sugar concentration for biofuel (e.g., fuel ethanol) production in a batch fermentation process (pure and/or fed-batch fermentation) of a biofuel production process is provided. Process information for the batch fermentation process is received, and the nonlinear control model executed using the process information as input to determine values of one or more fermentation process variables for the batch fermentation process, e.g., fermentation temperature and/or enzyme flow, for substantially maximizing yeast growth and achieving target fermentable sugar concentrations.

Abstract: According to various embodiments, a biofuel production system includes a plurality of parallel-operated fermenters, a cooling tower water system configured to supply cooling water to the plurality of parallel-operated fermenters, a chiller water system configured to supply chiller water to the plurality of parallel-operated fermenters, and a cooling system coupled to the plurality of parallel-operated fermenters, the cooling tower water system, and the chiller water system. The cooling system controls the flow rates of the cooling water and the chiller water to the plurality of parallel-operated fermenters based upon temperatures of fermentation products of the fermenters.

Abstract: The present invention provides novel techniques for controlling batch reaction processes. In particular, a parametric hybrid model may be used to parameterize inputs and outputs of batch reaction processes. The parametric hybrid model may include an empirical model, a parameter model, and a dynamic model. Critical quality parameters, which are correlated with, but not the same as, end-of-batch quality values for the batch reaction processes may be monitored during cycles of the batch reaction processes. The quality parameters may be used to generate desired batch trajectories, which may be used to control the batch reaction processes during the cycles of the batch reaction processes.

Abstract: According to various embodiments, a biofuel production system includes a plurality of parallel-operated fermenters, a cooling tower water system configured to supply cooling water to the plurality of parallel-operated fermenters, a chiller water system configured to supply chiller water to the plurality of parallel-operated fermenters, and a cooling system coupled to the plurality of parallel-operated fermenters, the cooling tower water system, and the chiller water system. The cooling system controls the flow rates of the cooling water and the chiller water to the plurality of parallel-operated fermenters based upon temperatures of fermentation products of the fermenters.

Abstract: System and method for managing a biofuel production process. An integrated dynamic multivariate predictive model is provided that includes a continuous process model representing a continuous process of the biofuel production process, a batch process model representing a batch process of the biofuel production process, and a continuous simulation framework. The batch process model interacts with the continuous process model as a nonlinear continuous process via the framework using bridging equations. An objective is received, as is constraint information specifying constraints for the biofuel production process, where the constraints are in terms of the framework, and process information related to the batch and continuous processes.

Abstract: System and method for determining total mill flow (TMF) in a biofuel production process. Measured slurry flow and density values from a process fed by mill(s), backset, and at least one water source, are received. The slurry includes biomass solids and water. Measured backset flow and density values, and a backset composition value are received, as well as a slurry composition value indicating % biomass solids of the slurry is received. A quantity of biomass solids and/or water of the slurry determined based on the slurry flow, density, and composition, and a quantity of the biomass solids and/or water of the backset determined based on the backset flow and density, backset composition, and a system filter characterizing time delays and lags between measurements of the backset flow and biomass slurry flow. Total mill flow is determined based on the quantities of biomass solids and/or water of the slurry and backset.

Abstract: A system and method are provided for controlling temperature of a batch fermenter in a biofuel production process. A nonlinear predictive integrating temperature model for a batch fermentation process is provided that is a function of fermenter level. An objective for the batch fermentation process specifying a target fermenter temperature for the batch fermentation process is received, as is process information for the batch fermentation process, including fermenter level and fermenter temperature. The nonlinear predictive integrating temperature model is executed in accordance with the objective using the process information as input to determine target values for manipulated variables for controlling fermenter temperature of the batch fermentation process. The fermenter temperature for the batch fermentation process is controlled in accordance with the target values to produce biofuel in accordance with the objective, to substantially optimize the end of batch biofuel yield.

Abstract: The present invention provides novel techniques for optimizing throughput and yield using model predictive control techniques. In particular, the present techniques are presented in the context of biofuel production, wherein the trade off between yields of biofuel production and overall system throughput may be optimized. However, the present techniques may also be applied to any other suitable applications where a batch process of the system may affect a change in a property of the produced product, such as liquor processing.

Abstract: System and method for determining total mill flow (TMF) in a biofuel production process. Measured slurry flow and density values from a process fed by mill(s), backset, and at least one water source, are received. The slurry includes biomass solids and water. Measured backset flow and density values, and a backset composition value are received, as well as a slurry composition value indicating % biomass solids of the slurry is received. A quantity of biomass solids and/or water of the slurry determined based on the slurry flow, density, and composition, and a quantity of the biomass solids and/or water of the backset determined based on the backset flow and density, backset composition, and a system filter characterizing time delays and lags between measurements of the backset flow and biomass slurry flow. Total mill flow is determined based on the quantities of biomass solids and/or water of the slurry and backset.

Abstract: System and method for determining total inventory of batch and continuous biomass inventories in a biofuel production process. Measured biomass inventory values are received, including batch inventories from multiple batch fermenters and at least one continuous beer well inventory. The values are premised on a controlled vapor pressure of the batch fermenters and beer well(s), where the pressure fluctuates in an uncontrolled manner. A measured vapor pressure for the batch fermenters and beerwell(s) is received, and pressure compensated inventory values determined based on the measured inventory and pressure values. Measured biomass input flow to the batch fermenters and output flow from the beerwell(s) are received, and are premised on a constant biomass temperature and density, where biomass temperature and density fluctuate in an uncontrolled manner. The total inventory of batch and continuous inventories is determined based on the measured flows and the pressure compensated inventory values, and stored.

Abstract: System and method for managing batch fermentation in a biofuel production process. A nonlinear control model of yeast growth and fermentable sugar concentration for biofuel (e.g., fuel ethanol) production in a batch fermentation process (pure and/or fed-batch fermentation) of a biofuel production process is provided. Process information for the batch fermentation process is received, and the nonlinear control model executed using the process information as input to determine values of one or more fermentation process variables for the batch fermentation process, e.g., fermentation temperature and/or enzyme flow, for substantially maximizing yeast growth and achieving target fermentable sugar concentrations.

Abstract: System and method for managing fermentation feed in a biofuel production process, comprising a dynamic multivariate predictive model-based controller coupled to a dynamic multivariate predictive model. The model is executable to: receive process information, including water inventory and biomass information, from the biofuel production process; receive a specified objective for the fermentation feed specifying a target biomass concentration; and generate model output comprising target values for a plurality of manipulated variables of the biofuel production process, including target flow rates of water and/or biomass contributing to the fermentation feed in accordance with the specified objective.