There are many factors that affect the carbon emissions from the combustion of regenerative blast furnaces.If multiple factors cannot be analyzed simultaneously,it will seriously reduce the prediction accuracy of the peak carbon emissions.Therefore,a prediction method for the peak carbon emissions from the combustion of regenerative blast furnaces in power plants is proposed.Based on the working principle of a regenerative blast furnace,combined with the equations of mass and energy conservation,the energy conversion inside the furnace during the operation of the regenerative blast furnace is analyzed.It calculates the carbon emissions from the combustion of thermal storage blast furnaces in power plants based on the different emission methods of carbon dioxide in the blast furnace and introduces the LMDI method to analyze the factors that affect the carbon emissions of thermal storage blast furnaces in power plants,and input the analysis results of the influencing factors into the LSTM network.Through multi-layer processing of the data by the internal circulation units of the LSTM network,the prediction of peak combustion carbon emissions is achieved.The experiment shows that the research method can accurately predict the peak carbon emis-sions from blast furnace combustion in power plants,and has high practical application reliability.
关键词
能量守恒/LMDI方法/LSTM网络/蓄热式高炉/碳排放/峰值预测
Key words
conservation of energy/LMDI method/LSTM network/regenerative blast furnace/carbon emissions/peak prediction
维普
万方数据