Optimal Design for Simultaneous Desulfurization and Denitrification by Ozone Oxidation Integrating with Chemical Scrubber

In order to obtain minimum NOx and SO₂ emissions, extra investment and operating costs needs to be supplied. The cost of the ozone oxidation integrating with chemical scrubber (OO&CS) also increases nonlinearly as emissions decrease. This poses a challenging multiobjective optimization problem where emissions like NOx and SO₂ need to be minimized, while minimizing the system cost. A multi-pollutant oxidation by ozone model and an OO&CS process model incorporating in a multiobjective problem is employed to optimize the OO&CS process. It offers multiple Pareto optimal designs that cover the whole Pareto set in an efficient and uniform way and presents abundant insight information approximately the multiobjective problem. These designs capture the nonlinear nature of the OO&CS process, which can eliminate bad designs and promote designs that have lower emissions and lower cost. The optimal process is a valuable tool for design engineers for redesigning the best available design system to make it cost efficient while keeping its advantage of very low level of all pollutant emissions.