Application of six sigma method for the optimization of a zeolite rotor /oxidizer system

• Main Authors: Lin, Hsu-Her, 林旭和
• Other Authors: Bai, Hsun-Ling
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/01938168344669218611

碩士 === 國立交通大學 === 工學院永續環境科技學程 === 100 === The zeolite rotor/oxidizer system for organic waste gas emission reduction is an advanced air pollution control device (APCD) which is widely applied in many high-tech. industry plants. However it is often under the conflict situation between operation efficiency and the operating costs. In this study, the six standard deviations method which uses the D-M-A-I-C (Define-Measure-Analyze-Improve-Control) approach to improve the system operation is employed. It has incorporated the characteristic figure、Plato figure、effect figure、SPC and other quality control charts as well as Minitab software as tools for understanding, optimizing and improving the operation condition. This would help in improving the process efficiency of a zeolite rotor/oxidizer while reducing the operating cost at the same time. Research results show that there are a total of 15 factors influencing the operation efficiency and fuel consumption. By using quality analysis charts and regression analysis, it converges to 3 major factors, inverter frequency of desorption fan, desorption temperature and combustion temperature. The 3 factors have a major effect on the operation efficiency with contribution of as high as 92.2%; while it is 75.8% on the fuel consumption. And through the Design of Experiment (DOE), it is found that by increasing the frequency of desorption fan and the combustion temperature as well as by decreasing the desorption temperature, both the operation efficiency can be enhanced and the fuel consumption can be reduced. As a result, the optimization condition for the case study shows that desorption fan inverter frequency is 45 Hz, the combustion temperature is 710℃ and the desorption temperature is 200℃. This yields that the organic emission is reduced by 14% from 0.28 kg/hr to 0.24 kg/hr; the operation efficiency was enhanced by 1% from 95.9% to 96.9%. The Fuel consumption was cut by 4.4% from 25 m3/hr to 23.9 m3/hr.