Dynamic process control for in-situ bioremediation system

This study describes the development of a dynamic predictive control system for the in-situ bioremediation process that not only optimizes the complex physical, chemical, and biological processes involved in the remediation process but also minimizes overall cost of the entire remediation process. The control system includes the optimization tool which consists of two parts, the simulation tool and the decision-making tool. Bioplume III has been used as the simulation tool. The decision-making tool includes a multi-criteria nonlinear optimization function, and genetic algorithm has been used to solve this nonlinear function. The result of a lab experiment indicates that this control system can generate the proper control strategy and adjusts control rules dynamically.