Key Technologies For Energy Efficiency Prediction And Evaluation Of High Energy Consumption Equipment Based On The Synergistic Coupling Between Pollution Control And Comprehensive Energy Efficiency

Desulfurization process is a complex process of multi-factors coupling with three transfers and chemical reaction,which make integrative energy efficiency evaluation method of cooperative pollution control shill be a technical challenge.Aiming at the two key scientific problems that are difficult to on-line accurately predict the desulfurization efficiency and energy consumption of desulfurization system,and the synergistic coupling mechanism between desulfurization system energy efficiency and pollutant control is not clear.Based on the mechanism modeling of desulfurization process and the deep self-learning method of artificial intelligence,the multidimensional and multilevel comprehensive energy efficiency evaluation index system was established that scientifically describes features of three transfers and chemical reaction,and considers the variation of boiler load and coal quality comprehensively.A real-time online collaborative prediction model of desulfurization efficiency and comprehensive energy consumption index based on BP neural network intelligent deep self-learning was studied and constructed.The synergistic coupling law between key control parameters of desulfurization process—sulfur dioxide emission at outlet-comprehensive energy efficiency of desulfurization system was systematically studied.The mechanism of synergistic coupling between comprehensive energy efficiency and pollutant control is revealed.which lays a scientific theoretical foundation and technical support for the establishment of key technical standards for energy efficiency testing and evaluation of special equipment with high energy consumption in China,and achieves the following innovation and research conclusions:The synergistic coupling law between key control parameters of desulfurization process — sulfur dioxide emission at outlet-comprehensive energy efficiency of desulfurization system was systematically studied.The mechanism of synergistic coupling between comprehensive energy efficiency and pollutant control is revealed.A new comprehensive energy efficiency evaluation index of collaborative pollution discharge is proposed,which comprehensively reflects the varying load and coal quality.Based above index,the multidimensional and multilevel comprehensive energy efficiency evaluation index system was established that scientifically describes features of three transfers and chemical reaction,and considers the variation of boiler load and coal quality comprehensively;A real-time online collaborative prediction model of desulfurization efficiency and comprehensive energy consumption index based on BP neural network intelligent deep self-learning was studied and constructed.The synergistic coupling theory between key control parameters of desulfurization process—sulfur dioxide emission at outlet —comprehensive energy efficiency of desulfurization system was established.On this basis,a soft sensing technology for comprehensive energy efficiency index of desulfurization system was developed by means of on-line monitoring data of boiler load,coal quality and adjustable process parameters;The synergistic coupling law between key control parameters of desulfurization process — sulfur dioxide emission at outlet — comprehensive energy efficiency of desulfurization system was systematically studied,and the mechanism of synergistic coupling between comprehensive energy efficiency and pollutant control is revealed.Under the condition of equivalent control of sulfur dioxide emission concentration,The synergistic coupling relation curve of process parameters,sulfur dioxide emission concentration at outlet and comprehensive energy efficiency index based on boiler load and coal quality was studied and constructed.It is found that when the boiler load and coal quality change,According to the synergistic coupling relation curve,the process parameters of adjustable desulfurization process can be optimized,in which make comprehensive energy efficiency index of the system be reduced up to 33.3%,and obtain obvious effect of saving energy and reducing consumption.