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O_(3)oxidation combined with semi-dry method for simultaneous desulfurization and denitrification of sintering/pelletizing flue gas

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Journal of Environmental Sciences 2021年第6期33卷 253-263页

作者： Fagao Liu Maoyu Cai Xiaolong Liu Tingyu Zhu Yang Zou CAS Key Laboratory of Green Process and Engineering Institute of Process EngineeringInnovation Academy for Green ManufactureChinese Academy of SciencesBeijing 100190China Center for Excellence in Regional Atmospheric Environment Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China

With the vigorous development of China's iron and steel industry and the introduction of ultra-low emission policies,the emission of pollutants such as SO_(2)and NO x has received unprecedented *** the increase of the proportion of semi-dry desulfurization technology in the desulfurization process,several semi-dry desulphurization technologies such as flue gas circulating fluidized bed(CFB),dense flow absorber(DFA)and spray drying absorption(SDA)are briefly ***,a method for simultaneous treatment of SO_(2)and NOx in sintering/pelletizing flue gas by O_(3)oxidation combined with semidry method is ***,the effects of key parameters such as O_(3)/NO molar ratio,Ca SO_(3),SO_(2),reaction temperature,Ca/(S+2 N)molar ratio,droplet size and approach to adiabatic saturation temperature(AAST)on denitrification and desulfurization are ***,the reaction mechanism of denitrification and desulfurization is further ***,the advantages and development prospects of the new technology are proposed.

关键词： O_(3) Oxidation Semi-dry method Sintering/pelletizing flue gas desulfurization and denitrification

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Multi-objective Optimal Dispatch of Multi-energy Complementary Systems Considering Environmental Factors

Multi-objective Optimal Dispatch of Multi-energy Complementa...

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第43届中国控制会议

作者： Rui Chen Yubin Yao Jianwei Du Fan Yang School of Marine Electrical Engineering Dalian Maritime University

In this paper, a day-ahead economic and environmental dispatching model for multi-energy complementary system composed of thermal power, wind and photovoltaic power, and pumped storage is established. The objective functions are the smallest net load fluctuation and the lowest comprehensive cost. In this model, the environmental cost is considered in comprehensive cost which includes the cost of SO, NO emission, the operation cost of desulfurization and denitrification, and carbon trading. An improved multi-objective particle swarm algorithm which can accelerate the convergence speed and also avoid the emergence of local optimums is presented to solve the dispatch model, and finally, by analyzing the dispatching results,it can effectively reduce the comprehensive cost of the system and decrease the net load fluctuation while reducing the pollutant emission, which verifies the effectiveness of the dispatch strategy and the improved algorithm.

关键词： Optimal Dispatch desulfurization and denitrification Carbon Trading Multi-objective Particle Swarm Algorithm

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