Multi-process and multi-pollutant control technology for ultra-low emissions in the iron and steel industry

The iron and steel industry is not only an important foundation of the national economy,but also the largest source of industrial air pollution.Due to the current status of emissions in the iron and steel industry,ultra-low pollutant emission control technology has been researched and developed.Liquid-phase proportion control technology has been developed for magnesian fluxed pellets,and a blast furnace smelting demonstration project has been established to use a high proportion of fluxed pellets(80%)for the first time in China to realize source emission reduction of SO_(2)and NO_(x).Based on the characteristics of high NO_(x)concentrations and the coexistence of multiple pollutants in coke oven flue gas,low-NO_(x)combustion coupled with multi-pollutant cooperative control technology with activated carbon was developed to achieve efficient removal of multiple pollutants and resource utilization of sulfur.Based on the characteristics of co-existing multiple pollutants in pellet flue gas,selective non-catalytic reduction(SNCR)coupled with ozone oxidation and spray drying adsorption(SDA)was developed,which significantly reduces the operating cost of the system.In the light of the high humidity and high alkalinity in flue gas,filter materials with high humidity resistance and corrosion resistance were manufactured,and an integrated pre-charged bag dust collector device was developed,which realized ultralow emission of fine particles and reduced filtration resistance and energy consumption in the system.Through source emission reduction,process control and end-treatment technologies,five demonstration projects were built,providing a full set of technical solutions for ultra-low emissions of dust,SO_(2),NO_(x),SO_(3),mercury and other pollutants,and offering technical support for the green development of the iron and steel industry.

Time-sensitive supply chain disruption recovery and resource sharing incentive strategy

Market demand is becoming increasingly time-sensitive in competitive environments.Hence,supply disruptions will have a more serious impact on the profits of supply chains.This study applies a Stackelberg competition between a single supplier and a single manufacturer in a time-sensitive supply chain in a cloud manufacturing environment.We aim to address the supplier’s production capacity recovery issues and the manufacturer’s incentive decision issues after supply disruption.We find that the supplier is in a weak position when the information is symmetrical.The manufacturer can encourage the supplier to shorten the recovery time by raising the unit wholesale price.When the supplier’s unit production cost remains unchanged but the unit wholesale price increases,the profit of the supplier first increases and then decreases.In addition,under the centralized decision-making setting,the optimal recovery time of the supplier is shorter and the optimal unit market price of the product is lower than that under decentralized decision-making.We further find that resource sharing can shorten the optimal recovery time,but it does not necessarily play an incentivizing role.