Rockwell Automation Technologies Incorporated

Pavilion Technologies, Inc.

James F Bartee

Patrick David Noll

Maina A Macharia

Michael Edward Tay

Srinivas Budaraju

Bijan Sayyar-Rodsari

Gleb Mejeoumov

Ronald D Glowka

Patrick D Noll

A method for determining performance characteristics of a fermenter batch in a biofuel production plant based on stoichiometry of fermentation reactions, comprising determining a cell mass of a sample of the fermenter batch; a glucose equivalent total (GET) based at least on the cell mass of the sample of the fermenter batch, and a starch to glucose conversion factor (SGCF) based at least on the GET; a total amount of glucose based at least on the SGCF, a volume of ethanol based at least on the total amount of glucose and the GET; at least one of a fermenter yield based at least on the volume of ethanol, and a fermenter efficiency based on the fermenter yield or the volume of ethanol; and generating an output based on the fermenter yield and/or the fermenter efficiency.

Determining performance characteristics of a fermenter batch of a biofuel production plant

Systems and techniques for storing, managing and/or displaying industrial data are presented. A controller component stores configuration data associated with a plurality of product types for a product generated based on at least one manufacturing process in a nested data structure. A data interface component manages data corresponding to the configuration data stored in the nested data structure for a data table associated with a spreadsheet application.

Configuration management of industrial data

A method for controlling a fermentation process includes injecting a mash into a fermenter and injecting a liquid ammonia additive into the fermenter. The liquid ammonia additive is injected in a closed-loop manner. The method may be used to control the fermentation processes of one or more fermenters operating in parallel.

System and method for controlling a fermentation process

A method for controlling a fermentation process includes injecting a mash into a fermenter and injecting an enzymatic additive into the fermenter on a continuous basis. The enzymatic additive is injected on a continuous basis during at least two time periods: during a batch fill and after the batch fill. The method may be used to control the fermentation processes of one or more fermenters operating in parallel.

System and method for continuous enzyme addition to a fermentation process

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.

Nonlinear model predictive control of a batch reaction system

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.

Throughput/yield optimized model predictive control

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. The batch fermentation process is then controlled in accordance with the determined values for the one or more fermentation process variables to substantially maximize yeast growth and achieve target fermentable sugar concentrations, where substantially maximizing yeast growth and achieving target fermentable sugar concentrations substantially maximizes biofuel production in the batch fermentation process.

Nonlinear model predictive control of a biofuel fermentation process

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.

Controlling the cooling of fermenters of a biofuel production plant

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. The integrated model is executed per the objective using the process information as input, generating target values for variables related to the batch and continuous processes per the objective and subject to the constraints, and used to control the batch and continuous processes substantially optimally.

Integrated model predictive control of batch and continuous processes in a biofuel production process

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.

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Stilesville, IN, United States of America

James F Bartee