Scholarlink

<p>Accurate quantification of particulate matter (PM) emissions from stationary sources remains challenging due to the dynamic behavior of airborne particles. Although standardized PM sampling methods exist, a formal proficiency testing (PT) framework for validating measurement results has been lacking. To address this gap, a simulation stack with controllable flue gas velocities (3–18&#xa0;m&#xa0;s<sup>−1</sup>) and dust concentrations (3–300&#xa0;mg Nm<sup>−</sup>3) was developed, enabling a comprehensive evaluation of the entire sampling procedure. Portland Type I cement (count median diameter: 2.6&#xa0;μm; geometric standard deviation: 1.8) was used as the challenge aerosol. This study statistically evaluates PT-PME (Proficiency Testing for Particulate Matter Emissions) data from 2019 to 2023 to assess system stability and long-term trends. The dust delivery system achieved an adjustable feed rate of 1.1–16.7&#xa0;g&#xa0;min<sup>−1</sup> with a coefficient of variation (CV) of only 2.51% at its maximum rate, indicating high transport precision. CVs of stack gas velocity and temperature were consistently below 3%. Regression analysis revealed strong linearity between the measured flue gas velocity and the set flue gas velocity controlled by the PT-PME system (R<sup>2</sup> = 0.985), as well as between the measured particulate mass concentration and the normalized dust delivery rate (DS) (R<sup>2</sup> &gt; 0.96). Z-score evaluation revealed that 7.01% of velocity and 2.3% of mass concentration measurements were unsatisfactory. Long-term analysis indicated reductions in the root mean square error (RMSE) since 2003, with values decreasing from approximately 20% to 8% for flue gas velocity and from approximately 30% to below 20% for mass concentration. Overall, the PT-PME program significantly improves stack emission measurement accuracy and provides a reliable reference for air quality monitoring and regulatory compliance.</p> Graphical abstract <p></p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Establishment and Operation of a Simulation Stack for Proficiency Test of Particulate Matter Emissions

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月4日

查看全文
  • Chung-Yuan Liu,
  • Chia-Yen Wu,
  • Chih-Chien Chen,
  • Sheng-Hsiu Huang,
  • Chih-Wei Lin

摘要

Accurate quantification of particulate matter (PM) emissions from stationary sources remains challenging due to the dynamic behavior of airborne particles. Although standardized PM sampling methods exist, a formal proficiency testing (PT) framework for validating measurement results has been lacking. To address this gap, a simulation stack with controllable flue gas velocities (3–18 m s−1) and dust concentrations (3–300 mg Nm−3) was developed, enabling a comprehensive evaluation of the entire sampling procedure. Portland Type I cement (count median diameter: 2.6 μm; geometric standard deviation: 1.8) was used as the challenge aerosol. This study statistically evaluates PT-PME (Proficiency Testing for Particulate Matter Emissions) data from 2019 to 2023 to assess system stability and long-term trends. The dust delivery system achieved an adjustable feed rate of 1.1–16.7 g min−1 with a coefficient of variation (CV) of only 2.51% at its maximum rate, indicating high transport precision. CVs of stack gas velocity and temperature were consistently below 3%. Regression analysis revealed strong linearity between the measured flue gas velocity and the set flue gas velocity controlled by the PT-PME system (R2 = 0.985), as well as between the measured particulate mass concentration and the normalized dust delivery rate (DS) (R2 > 0.96). Z-score evaluation revealed that 7.01% of velocity and 2.3% of mass concentration measurements were unsatisfactory. Long-term analysis indicated reductions in the root mean square error (RMSE) since 2003, with values decreasing from approximately 20% to 8% for flue gas velocity and from approximately 30% to below 20% for mass concentration. Overall, the PT-PME program significantly improves stack emission measurement accuracy and provides a reliable reference for air quality monitoring and regulatory compliance.

Graphical abstract