| Methanol,as an important organic chemical raw material and a solvent in chemical production,has been widely used.The industrial development of methanol is of great strategic significance to national economic construction and social development.According to the national condition of "rich coal,poor oil and little gas",coal-to-methanol is the main method of methanol production in China.For further understanding the methanol synthesis system,enhancing the quality control of the methanol product and speeding up the pace of modern intelligent factory construction,data mining,modeling,optimization and control to Methanol synthesis system is necessary.However,the problems including the lack of on-site measurement data and the data error brought a huge challenge.Data correction technology based on statistics and computer technology can effectively solve the data error and improve the accuracy.The main research contents and conclusions of this thesis are as follows:Firstly,a set of data correction method for methanol synthesis system was established by combining the process design data and the site production process.The process modeling and steady-state simulation of methanol synthesis system were carried out by using Aspen Plus,and the simulation accuracy was verified.Then,combining the steady-state simulation and data correction technology,the "steady-state simulation comparison method" was proposed to identify the significant error of measurement data,and the "projection matrix method" was improved to correct the random error of measurement data.A set of data correction method for Methanol synthesis system was established theoretically.Secondly,applying the established data correction method to the Methanol synthesis system,the heat transfer network of the system was optimized.The results show that the established data correction method could effectively identify the significant errors and eliminate the influence of random errors in the measured data.After the correction,the variance of the molar flow data of each component generally decreased,which indicates the good effect of the correction.After the optimization of the heat exchange network,the thermal utility project saved 4330kW(29.54%),which effectively solved the problem of unreasonably matching of on-site heat exchange flow stocks,achieved the purpose of energy saving and consumption reduction,and effectively improved the economic benefit of the section.Thirdly,due to the shortcomings of the existing control schemes of distillation column with long response time,a dynamic simulation model was established based on the above steady-state simulation model of distillation column and the control structure so as to improve the control scheme of the distillation column.According to the quality control index of distillation column,two effective process control schemes,including temperature control and temperature-component(TC)control,were put forward.The results show that,the TC dynamic step response time of the temperature control scheme was faster than the original component control scheme.Combining the analysis of economic factors,the temperature control scheme was finally suggested to be selected.The result was of great significance to the improvement of the control scheme of the on-site distillation column,so as to solve the problem of slow control response of the key equipment of the synthesis system,T101 distillation column.In this thesis,the data processing and steady-state simulation of Methanol synthesis system were carried out based on the relevant technical principles of data correction and chemical system simulation software.The equipment parameters were improved and the heat exchange network was optimized.The dynamic simulation of the key unit of the synthesis system was carried out and two control schemes were explored.Through the above research,the problems of circulating energy consumption and field regulation of Methanol synthesis system have been solved practically,which has certain application value. |
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