| In this paper, a company in Xinjiang Ili region with annual capacity of 6 billion cubic meters of natural gas of coal chemical industry of the construction of the project construction background has carried on the simple introduction, Mainly for the project selection of lurgi (LURGI) low temperature methanol washing process using Aspen software has carried on the research of simulation and optimization of the whole flow.To reduce the accumulated deviation, When modeling, whole rectisol process choose block modeling. The whole process is divided into the absorption unit, the medium voltage flash unit, H2S concentration unit, heat regeneration unit 4 unit modules. According to the material flows, Each unit of the main tower equipment chose divided into small towers model is established.Combined with the choice of physical methods recommended, according to the design of process conditions, first of all, to absorb the unit chose NRTL and RSK-probably two thermodynamic equation to calculate.The calculated results were compared with the design data, select the smaller deviation of thermodynamics equation as following three unit simulation and the physical nature of the whole process simulation method. Absorb the unit operating pressure is 3.2MPa (a),the highest operating pressure in the whole process, determine the unit after the thermodynamic equation can determine method in physical properties of the whole process.The remaining three unit process selection NRTL property after compares the calculation results with the design data separately. In each unit process modeling is the premise of reliable,the whole process simulation is established.On the basis of reliable, the low temperature methanol washing process two optimizations is proposed. The first optimization point in absorption unit purification of gas discharge, Purification of CO2 content in gas can adjust; Second place is to absorb the unit discharge of methanol solution in the process of the pressure to reduce the release of rational utilization of energy. Put forward two optimization points into the unit process simulation and the whole process simulation respectively, compared with deviations are within acceptable range. Thus it is concluded that the two optimization point in technology feasible conclusion. |