Development and testing of a soot particle concentration estimator using Lagrangian post-processing

Soot emissions from combustion devices are known to have harmful effects on the environment and human health. As the transportation industry continues to expand, the development of techniques to reduce soot emissions remains a significant goal of researchers and industry. In order for current soot m...

Full description

Bibliographic Details
Main Authors: Raymond Alexander, Sepehr Bozorgzadeh, Ali Khosousi, Seth B. Dworkin
Format: Article
Language:English
Published: Taylor & Francis Group 2018-01-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
Online Access:http://dx.doi.org/10.1080/19942060.2017.1400471
_version_ 1828515097103826944
author Raymond Alexander
Sepehr Bozorgzadeh
Ali Khosousi
Seth B. Dworkin
author_facet Raymond Alexander
Sepehr Bozorgzadeh
Ali Khosousi
Seth B. Dworkin
author_sort Raymond Alexander
collection DOAJ
description Soot emissions from combustion devices are known to have harmful effects on the environment and human health. As the transportation industry continues to expand, the development of techniques to reduce soot emissions remains a significant goal of researchers and industry. In order for current soot modeling techniques to be reliably accurate, they must incur an intractably high computational cost. This project leverages existing knowledge in soot modeling and soot formation fundamentals to develop a stand-alone, computationally inexpensive soot concentration estimator to be linked to Computational Fluid Dynamics simulations as a post-processor. Preliminary development and testing of the estimator is presented here for laminar flames. As soot properties cannot be determined by local conditions, the estimator consists of a library generated using the hystereses of soot-containing fluid parcels, which relates soot concentration to the aggregated gas-phase environment histories to which a fluid parcel has been exposed. The estimator can be used to relate soot concentration to computed parcel hystereses through interpolation techniques. The estimator shows the potential ability to produce accurate results with very low computational cost in laminar coflow diffusion flames. Results also show that as flame data representing a broader set of conditions (temperature, mixture fraction, residence time, etc.) are added to the library, the estimator becomes applicable to a wider range of flames.
first_indexed 2024-12-11T18:08:37Z
format Article
id doaj.art-4417ca700f274771bad4a904fc7fa713
institution Directory Open Access Journal
issn 1994-2060
1997-003X
language English
last_indexed 2024-12-11T18:08:37Z
publishDate 2018-01-01
publisher Taylor & Francis Group
record_format Article
series Engineering Applications of Computational Fluid Mechanics
spelling doaj.art-4417ca700f274771bad4a904fc7fa7132022-12-22T00:55:38ZengTaylor & Francis GroupEngineering Applications of Computational Fluid Mechanics1994-20601997-003X2018-01-0112123624910.1080/19942060.2017.14004711400471Development and testing of a soot particle concentration estimator using Lagrangian post-processingRaymond Alexander0Sepehr Bozorgzadeh1Ali Khosousi2Seth B. Dworkin3Ryerson UniversityRyerson UniversityRyerson UniversityRyerson UniversitySoot emissions from combustion devices are known to have harmful effects on the environment and human health. As the transportation industry continues to expand, the development of techniques to reduce soot emissions remains a significant goal of researchers and industry. In order for current soot modeling techniques to be reliably accurate, they must incur an intractably high computational cost. This project leverages existing knowledge in soot modeling and soot formation fundamentals to develop a stand-alone, computationally inexpensive soot concentration estimator to be linked to Computational Fluid Dynamics simulations as a post-processor. Preliminary development and testing of the estimator is presented here for laminar flames. As soot properties cannot be determined by local conditions, the estimator consists of a library generated using the hystereses of soot-containing fluid parcels, which relates soot concentration to the aggregated gas-phase environment histories to which a fluid parcel has been exposed. The estimator can be used to relate soot concentration to computed parcel hystereses through interpolation techniques. The estimator shows the potential ability to produce accurate results with very low computational cost in laminar coflow diffusion flames. Results also show that as flame data representing a broader set of conditions (temperature, mixture fraction, residence time, etc.) are added to the library, the estimator becomes applicable to a wider range of flames.http://dx.doi.org/10.1080/19942060.2017.1400471Soot concentrationsoot emissionsestimatorLagrangian parcel-tracking
spellingShingle Raymond Alexander
Sepehr Bozorgzadeh
Ali Khosousi
Seth B. Dworkin
Development and testing of a soot particle concentration estimator using Lagrangian post-processing
Engineering Applications of Computational Fluid Mechanics
Soot concentration
soot emissions
estimator
Lagrangian parcel-tracking
title Development and testing of a soot particle concentration estimator using Lagrangian post-processing
title_full Development and testing of a soot particle concentration estimator using Lagrangian post-processing
title_fullStr Development and testing of a soot particle concentration estimator using Lagrangian post-processing
title_full_unstemmed Development and testing of a soot particle concentration estimator using Lagrangian post-processing
title_short Development and testing of a soot particle concentration estimator using Lagrangian post-processing
title_sort development and testing of a soot particle concentration estimator using lagrangian post processing
topic Soot concentration
soot emissions
estimator
Lagrangian parcel-tracking
url http://dx.doi.org/10.1080/19942060.2017.1400471
work_keys_str_mv AT raymondalexander developmentandtestingofasootparticleconcentrationestimatorusinglagrangianpostprocessing
AT sepehrbozorgzadeh developmentandtestingofasootparticleconcentrationestimatorusinglagrangianpostprocessing
AT alikhosousi developmentandtestingofasootparticleconcentrationestimatorusinglagrangianpostprocessing
AT sethbdworkin developmentandtestingofasootparticleconcentrationestimatorusinglagrangianpostprocessing