区域环境工业大气污染物的优化治理工艺和处理成本

Taking the ambient air quality control of a cement factory in an industrial zone in Ankang, Shaanxi province as an example, an interval two-stage stochastic programming method based on factorial analysis (FAITSP) was adopted. Under the premise of considering environmental constraints, a mathematical model with the objective of achieving industrial atmospheric environmental quality and minimizing processing cost was established. According to the environmental treatment data of cement plant, industry emission standards and ambient air quality standards, the treatment technology combination optimization, processing cost analysis and mathematical model factorial analysis were carried out for the flue gas treatment technology of removing major pollutants SO₂, NO_x and particulate matter in the industrial atmosphere. The results show that the optimal process combination of flue gas treatment in cement plant is the double alkali method, selective non-catalytic reduction method, selective catalytic reduction method, electric dust removal method and bag dust removal method. In terms of the contribution of the main parameters to the output of the mathematical model, the contribution rate of low efficiency processing is 64.88%〜77.88%, the contribution rate of high efficiency processing is 7.87%〜16.22%, and the contribution rate of the interaction effect of the combination of high and low efficiency processing is 0.003%〜16.22%. Using a combination of processes with different removal efficiencies contributes to both economic benefits and environmental protection. Controlling the uncertainty in the denitration and dust removal system of cement plant can effectively help to achieve the lowest processing cost.