wet limestone optimization

Nov 01, 2018· Coal-fired power plants can significantly improve wet limestone scrubbing with advanced process control. One optimization system implemented at a Japanese facility utilized enhanced regulatory control, model-based prediction, and process value prediction to reduce house load, saving $900,000 annually.

May 19, 2001· A detailed process model of the wet limestone flue gas desulfurization system has been presented. This model can be used to calculate indispensable parameters for estimating costs and next to minimize capital and operating costs. The process model describes most important stage of SO2 removal running in an absorber and a holding tank. It includes absorption of sulfur dioxide, oxidation …

The optimization scheme about the cost of wet limestone flue gas desulfurization technology was put forward by researchers [5]. Some problems about the gas desulfurization system such as ...

Wet limestone systems are well established in some sectors such as the Power Generation industry. This process is based on the large degree of contact between the circulating slurry and the flue gases. This slurry circulates in the absorber tower (or scrubber) to neutralize the condensed flue gas pollutant, mostly SO2. The pH of the slurry is a key parameter to be monitored as

Coal-fired power plants can significantly improve wet limestone scrubbing with advanced process control. One optimization system implemented at a Japanese facility utilized enhanced regulatory ...

Nonlinear model predictive control (NMPC) scheme is an effective method of multi-objective optimization control in complex industrial systems. In this paper, a NMPC scheme for the wet limestone flue gas desulphurization (WFGD) system is proposed which provides a more flexible framework of optimal control and decision-making compared with PID ...

Optimization of the wet limestone (calcite) flue gas desulfurization (FGD) process is described, with the focus on the layout of subprocesses and equipment.

Therefore, the optimization of the pH set point is an effective means to achieve the economic optimization of the wet limestone FGD system [41]. As a result, a multi-objective optimization control method is introduced to limit energy consumption to a reasonable range for energy saving.

Wet limestone scrubbing is a classic example of an acid-base chemical reaction performed on an industrial scale. In this case the acid is sulfur dioxide (SO 2) in the flue gas.

In this article the method of cost optimization of the “Wet Limestone Flue Gas Desulfurization System” is presented. The optimization calculations include process and cost models. The process model describes the most important stage of SO 2 removal that runs in the absorber and in the holding tank.