Energy Efficiency Diagnosis And Optimization Of Ethylene Cracking Furnace

High-energy-consuming enterprises have created certain wealth for the society,but theyhave also brought serious impacts,including deep-seated industrial structure conflicts,hidden dangers in the future energy crisis,and adverse impacts on the ecological environment.Therefore,as a high-energy-consuming industry,the ethylene industry should not only actively respond to the government’s "double control" measures of energy consumption and intensity,but also implement the "China Manufacturing 2025" and "Internet Plus" strategic guidelines,deepen the integration of manufacturing and the Internet.The use of Internet technology will increase the energy efficiency monitoring and management level of the ethylene industry,and achieve the objectives of scientific scheduling,energy conservation and consumption reduction.Ethylene is an important basic raw material for petrochemical industry.The scale,production,and technology of its production facilities mark the development level of a country’s petrochemical industry.As the core equipment of the ethylene production cracker,the ethylene cracking furnace is also the equipment that generates the product and consumes the largest amount of energy.It is of great significance to monitor and evaluate the energy efficiency of ethylene production and optimize the diagnosis.This article takes the national863 project “For the petrochemical industry energy efficiency monitoring assessment and optimization control technology and system” as the research background,selects ethylene cracking furnaces for key equipment in ethylene production for energy efficiency diagnosis and optimization analysis.And designed and implemented the ethylene cracker energy efficiency diagnosis and optimization module,the main research work completed is as follows:(1)Combined with the analysis of the technological mechanism of ethylene cracking furnace,which is the most energy-consuming and most important device in the ethylene industry,we set up reasonable indicators in many aspects to reflect the energy efficiency level of ethylene cracking furnaces and set up a scientific and rational energy efficiency evaluation index system.Finally,the comprehensive energy consumption per unit ethylene is selected as the energy efficiency index of the ethylene cracking furnace studied in this paper for subsequent diagnosis and optimization.(2)In view of the fact that the ethylene industry lacks real-time diagnosis of the energy efficiency level of ethylene cracking furnaces,the diagnosis and identification methods of principal component analysis are used to model and verify the energy efficiency of cracking furnaces.The results show that the method selected in this paper can achieve the traceability of abnormal energy efficiency.Then,the genetic algorithm is used to optimize the energy efficiency of the cracking furnace predicted by the BP neural network,which not only improves the energy efficiency level of the ethylene cracking furnace,but also obtains the optimized parameter values of the process variables.This provides scientific and reasonable suggestions for improving the energy efficiency of ethylene cracking furnaces.(3)In order to further improve the "Ethylene Energy Efficiency Monitoring and Evaluation System",this paper integrates the established energy efficiency diagnosis and optimization model into the system platform as an ethylene production equipment level energy efficiency diagnostic module.The module further enriches the energy efficiency monitoring system,and completely realizes the process of monitoring the energy efficiency of the ethylene cracking furnace from monitoring to assessment and then finally making recommendations for optimization.It can help companies monitor and make timely adjustments to various indicators of ethylene production,and ensures the efficiency and stability of the energy efficiency of ethylene production.