Control Strategies for Continuous Emission Monitoring System of Stationary Pollution Sources–The Case of the Off-Shore Industrial Park in Yunlin County

• Main Authors: CHIAN,ZHEN-YUAN, 江振源
• Other Authors: Lin,Chi-Wen
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/u32799

碩士 === 國立雲林科技大學 === 環境與安全衛生工程系 === 105 === Currently, air pollution emissions mainly come from large stationary sources. The Environmental Protection Agency has announced four batches of stationary pollution sources that require the installation of Continuous Emission Monitoring Systems (CEMS) and has enacted specifications for CEMS-related software and hardware facilities, quality assurance operations, and on-line computerized operations, which demand factories to implement flue monitoring operations. The monitoring data could be used for evaluating air pollution charges and emissions; thus, correctness of CEMS data is very important. Based on an analysis of flue for power plant in an industrial zone of the off-shore industrial park in Yunlin County , Taiwan, this study compared data obtained from output signals of test equipment with data uploaded to the Environmental Protection Agency to confirm whether the Relative Accuracy Test Audit (RATA) test results meet the emission standard and to check whether the changes in the concentration three days before and after the test resulted from improper operations. We obtained data characteristics by using a data-checking system to ensure the quality of the system and real-time transmission. The results suggest that (1) based on the data acquired from “A machines,” the correlation coefficients were all maintained above 80% when a parallel comparison was made in 2013, 2014, and 2016. The unreasonable phenomenon of abnormal data fluctuation was not observed during the data acquired period, and comparison results showed reasonable variations. (2) The results of the tests conducted quarterly between 2012 and 2016 to calculate the opacity and emission rates of oxides such as SO2, NOx, and O2 conform to the emission standard. The emission rate and SO2, in particular, showed a slightly difference between RATA data, indicating needs future improvement. (3) Apart from a slight change in the process due to an adjustment in the operation of pollution sources, the change in the concentration showed no obvious abnormalities before and after the RATA test. (4) A data-calculation-accuracy analysis indicated that pollutants exceeding the limit were opacity; moreover, the frequency of continuous high (low) values of the “A machines” in the checking process for OP, SO2, and NOx was higher in 2016 than those in other years, possibly owing to numerical magnification resulting from oxygen-content correction in the system calculation during the period of annual plant maintenance. This study aimed to enhance the control quality of CEMS and proposes the following measures for future control: (1) enhancing the checking and debugging capability of the system, with the function of checking, debugging, and interpreting added to the data platform; (2) installing an equipment capable of bypassing, capturing, and transmitting original signals from the manufacturers’ end in order to compare and verify the data simultaneously; (3) increasing the frequency of regular onsite tests con-ducted by the authorities to verify the functional accuracy of the facilities; and (4) accelerating the amendment in regulations for manufacturers in order to reduce regulation grey zones and specifically regulate the related facilities.