Research On The Prediction Of NOx Emission From Thermal Power Industry

Coal is China’s main fuel and energy, in the future, this consumption pattern will be no fundamental change for a long period of time. China’s air pollution caused by SO2and NOx is due to a large part caused by the burning of coal. As China’s consumption of coal increasing, air pollution in China is not optimistic. Coal consumption of thermal power industry has accounted for most of China’s coal consumption. NOx generated by thermal power industry, accounted for more than half of China’s industrial NOx emissions. Therefore, how to control NOx emissions from thermal power industry, become the focus of attention. Thermal power industry NOx emissions forecasting is the basis for air pollution control work.Due to the obvious diversity in production process, the technical level, desulfurization equipment power production level of technology, production scale, the boiler emission characteristics and other characteristics, it is difficult to estimate the NOx emission. And many of the current NOx emissions estimates and projections methods are limitations. This article provides insight analysis China status of thermal power industry NOx emissions, NOx control regulations and standards of thermal power, thermal power NOx control technologies, According to the actual situation of China’s thermal power industry, summary of China’s thermal power NOx emission factors, based on the analysis of traditional forecasting methods of NOx emissions, This paper presents the use of gray methods and BP neural network to predict NOx emissions, based on both models, establish combine forecast model based on IOWA operator and Markov chain, Predicted results show that the results of model accurately, operation simple, requires less amount of data, the forecast shows that this model is a more reasonable and scientific method for thermal power industry NOx emissions.