A novel pressurized stripper with side-draw has been implemented successfully in coal-gasification industry and oil-refining industry. In this complex stripping process, ammonia and sour gas can be removed effectively from wastewater with ammonia and sour gas. However, compared to simple strippers, the complex pressurized strippers have rarely been considered for dynamic optimization before. In this paper, the dynamic simulation and optimal control of the novel stripper are proposed to improve the overall cost-effectiveness of the whole process. First of all, sensitivity analysis is proposed to find the sensitive plates in stripper with steady state simulation. Based on the sensitivity analysis, two control schemes are built up. And then, the rejecting disturbance capabilities of the two control schemes are compared and testified by using dynamic simulation. Finally, the optimal control scheme is implemented in industry with distributed control system (DCS). A real industrial application demonstrates that relies on the installed control system, the new stripping process can run steadily, consume less energy and satisfy the product quality requirements even though an uncertain disturbance occurs.
Optimal Control of District Heating Systems using Dynamic Simulation and Mixed Integer Linear Programming
