Fluent软件在凝析油炼制场所恶臭污染评价中的应用

Assessment of odor pollutant in treating condensate gas refinery by using the software Fluent

由于凝析油的特殊性,在炼制过程中,通常会造成严重的恶臭污染。通过对凝析油的组分进行分析,确定其主要的恶臭物质,然后通过气相色谱测定各类恶臭物质的质量浓度,用Fluent软件对恶臭污染物的质量浓度进行模拟,以臭气强度对炼制场所恶臭进行表征,确定恶臭污染水平,同时提出了一些恶臭的控制措施。

The present paper intends to report our assessment of odor pollution in processing the condensate gas refinery by using the Fluent technology. For our research purpose, we have carried out on-spot investigations on the condensate gas refining installations and facilities so as to determine the distribution features of the pollution sources. On the basis of our processing practice and laboratory tests, we have measured methyl mercaptan （CH3SH）, ethyl mercaptan （C2H5SH） and hydrogen sulfide （H2S） as the major odor pollution categories. At the same time, we have also analyzed the corresponding odor pollution ingredients of the sampling points in the atmospheric-vacuum distillation units and their respective consistency via the Fluent simulation and odor assessment by using the odor intensity method. In proceeding with our work, we have established the relevance of the odor intensity to the odor consistency based on the simulation technique CFD so as to visualize the odor intensity of any single ingredient. With all these efforts, we have finally achieved the goal of assessing the odor pollution intensity on the testing spots. In addition, we were trying to apply a computer analog technology Fluent to deepen our understanding of the diffusion regularity of the odor pollution ingredients in gas refining process while conducting our simulation of the respective consistency of the odor pollution categories via Fluent. The investigation and simulation results help us to find finally the major source of odor pollution from the materials in the process of condensate gas refining, which are ethyl mercaptan, methanthiol and hydrogen sulfide. Furthermore, the Fluent simulation indicates that the odor pollution above mentioned is serious. Further studies in this way help us to conclude the odor intensity tends to exceed the state-stipulated standard, even has aggravated to some unbearable degree. Therefore, effective countermeasures are to be taken to prevent and control it effectively. According to what has been achieved in our on-spot investigation, the process study, the laboratory test, and Fluent simulation, we would like to propose four effective countermeasures against the odor pollution, that is, deodorizing condensate gas, controlling the key points of the odor pollution, and in turn improving the management system in odor pollution control.