The efficiency assessment of air pollution control devices for a municipal solid waste plant

• Main Authors: Wen-Yi Chen, 陳文屹
• Other Authors: 蔣本基
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/56008957096455124599

碩士 === 國立臺灣大學 === 環境工程學研究所 === 94 === Waste management is one of the most important problems today. Recently years because of the government support, the proportion of waste incineration is increasing. Some strategies including resource recycling, and it would make great impact on the operation of the municipal solid waste (MSW) plant. This research will discuss the operation and performance of the MSW incinerator and its air pollution control devices (APCDs) from the continuous emission monitoring system (CEMS) data. The purpose we try to integrate the laboratory-scale parameters with the efficiency assessment for MSW plant. Otherwise, this research will find out the well operation conditions to improve the efficiency assessment adapting to MSW plant via Multivariate analysis. The results shows that the change in the waste components effect incineration products. It have good performance as the combustion chamber heat loading, stoker burning rate, destruction and removal efficiency and combustion efficiency(CE), will reach the excellent situation. The CE is about 99.98% on condition that the 150%-170% amount of excess air, 900℃ of incinerator temperature, and 4 seconds for residency time. In good operation of semi-dry spray tower, if we control the liquid- gas ratio (L/G) to 9 l/Nm3, the stoichiometric ratio (SR) to 2.2, the inlet pressure of semi-dry sprayer to -40mmH2O, and the residual time to 56% of current setting, the removal efficiency of acid gas could be promoted as well as economizing the use of resources. The relation between dioxin emission and active carbon quantity also be investigated, and the model is established in this part. In the result of baghouse filter , we suggest setting the air to cloth ratio (A/C) to 0.5m/min and the pressure drop to 150mmH2O.It is also confirmed that we can predict the operation condition by simplifying the analyzing process with using single filter model and the lab scale parameters. Finally, this research is established some operation models by the multivariate analysis, and it could be a reference in order to reduce the flue gas emission as well as promote the operation for MSW plant.