Modeling of emission measurement error due to uneven distribution of particulate matter in stacks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00177016%3A_____%2F26%3AN0000006" target="_blank" >RIV/00177016:_____/26:N0000006 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1080/10962247.2025.2558943" target="_blank" >https://doi.org/10.1080/10962247.2025.2558943</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/10962247.2025.2558943" target="_blank" >10.1080/10962247.2025.2558943</a>

Result language

angličtina

Original language name

Modeling of emission measurement error due to uneven distribution of particulate matter in stacks

Original language description

Legislative requirements for emission limits from industrial processes are becoming increasingly stringent and therefore a lower uncertainty of measurement of emissions released to the atmosphere is needed and possible sources of measurement errors need to be reconsidered. In this paper, we investigate a measurement error of industrial emissions of particulate matter from stacks caused by the selection of sampling positions in stacks with uneven particle distribution and we determine its dependence on different flow fields inside the stacks and on the size of the particles. CFD modeling is used to analyze particle distributions in stacks with a diameter of 0.75m and with three different shapes of a supply pipe (straight, one or two bends) generating different flow fields, considering sizes of the particles from 10μm to 50μm (Stokes numbers from 0.007 to 0.18). Concentration fields in several cross-sections are compared and significant changes of the particle distribution are observed when the shape of the supply pipe or the emission particle diameter are changed. The error of the emission mass flow rate as it would be determined according to the EN 15259 standard can reach about 30% for particle diameters of 20μm. Larger particles and the presence of bends lead to stronger particle clustering and near-wall accumulation which tend to increase the error. This should be taken into account in the iso-kinetic sampling practice. Implications: This study highlights the significant impact of particulate matter distribution on the accuracy of emission measurements in industrial stacks. The findings demonstrate that uneven particle distribution, particularly in setups with bends causing stronger particle clustering and near-wall accumulation, can introduce measurement errors of up to 50% depending on flow conditions. These results suggest that current standard sampling methods (e.g., EN 15259) may not always provide accurate emission mass flow rate estimations, especially for larger particles. The study underscores the need for improved sampling strategies or mixing devices to ensure reliable regulatory compliance in emission monitoring.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20302 - Applied mechanics

Project

<a href="/en/project/8B19004" target="_blank" >8B19004: Determining new uncertainty requirements for increasingly strigent legislatice HCI industrial emissions limits</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2026

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of the Air and Waste Management Association

ISSN

10962247

e-ISSN

—

Volume of the periodical

76

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

12

Pages from-to

1-12

UT code for WoS article

001625135100001

EID of the result in the Scopus database

2-s2.0-105023467489