Operation of an ethanol distillery is subject to significant lag time, in which the full effects of control changes are first observed only after several hours.
The process requires large amounts of energy, and its state can typically be measured throughout multiple stages.
Mantaining stable ethanol production, while reducing overall energy consumption and operational costs.
By connecting SentianController to the process, SentianController can learn how to operate the process from previously used operational parameters. SentianController then proposes, in real time, its own values for these parameters, which can either be displayed to the operator or automatically applied to the process. SentianController can dynamically be configured towards optimizing for various weighted combinations of goals, such as a certain production target, low energy costs, or maximizing profitability.