Development of a novel methodology for indoor emission source identification

Publication: Research - peer-reviewJournal article – Annual report year: 2011

Standard

Development of a novel methodology for indoor emission source identification. / Han, K.H.; Zhang, J.S.; Knudsen, H.N.; Wargocki, Pawel; Chen, H.; Varshney, P.K.; Guo, B.

In: Atmospheric Environment, Vol. 45, No. 18, 2011, p. 3034-3045.

Publication: Research - peer-reviewJournal article – Annual report year: 2011

Harvard

Han, KH, Zhang, JS, Knudsen, HN, Wargocki, P, Chen, H, Varshney, PK & Guo, B 2011, 'Development of a novel methodology for indoor emission source identification' Atmospheric Environment, vol 45, no. 18, pp. 3034-3045., 10.1016/j.atmosenv.2011.03.021

APA

Han, K. H., Zhang, J. S., Knudsen, H. N., Wargocki, P., Chen, H., Varshney, P. K., & Guo, B. (2011). Development of a novel methodology for indoor emission source identification. Atmospheric Environment, 45(18), 3034-3045. 10.1016/j.atmosenv.2011.03.021

CBE

Han KH, Zhang JS, Knudsen HN, Wargocki P, Chen H, Varshney PK, Guo B. 2011. Development of a novel methodology for indoor emission source identification. Atmospheric Environment. 45(18):3034-3045. Available from: 10.1016/j.atmosenv.2011.03.021

MLA

Vancouver

Han KH, Zhang JS, Knudsen HN, Wargocki P, Chen H, Varshney PK et al. Development of a novel methodology for indoor emission source identification. Atmospheric Environment. 2011;45(18):3034-3045. Available from: 10.1016/j.atmosenv.2011.03.021

Author

Han, K.H.; Zhang, J.S.; Knudsen, H.N.; Wargocki, Pawel; Chen, H.; Varshney, P.K.; Guo, B. / Development of a novel methodology for indoor emission source identification.

In: Atmospheric Environment, Vol. 45, No. 18, 2011, p. 3034-3045.

Publication: Research - peer-reviewJournal article – Annual report year: 2011

Bibtex

@article{d2eaa6f0d9ba49e8a4e3c8994663dac7,
title = "Development of a novel methodology for indoor emission source identification",
keywords = "Signal processing, Source identification, PTR-MS, VOC, Materials emission signature",
publisher = "Pergamon",
author = "K.H. Han and J.S. Zhang and H.N. Knudsen and Pawel Wargocki and H. Chen and P.K. Varshney and B. Guo",
year = "2011",
doi = "10.1016/j.atmosenv.2011.03.021",
volume = "45",
number = "18",
pages = "3034--3045",
journal = "Atmospheric Environment",
issn = "1352-2310",

}

RIS

TY - JOUR

T1 - Development of a novel methodology for indoor emission source identification

A1 - Han,K.H.

A1 - Zhang,J.S.

A1 - Knudsen,H.N.

A1 - Wargocki,Pawel

A1 - Chen,H.

A1 - Varshney,P.K.

A1 - Guo,B.

AU - Han,K.H.

AU - Zhang,J.S.

AU - Knudsen,H.N.

AU - Wargocki,Pawel

AU - Chen,H.

AU - Varshney,P.K.

AU - Guo,B.

PB - Pergamon

PY - 2011

Y1 - 2011

N2 - The objective of this study was to develop and evaluate a methodology to identify individual sources of emissions based on the measurements of mixed air samples and the emission signatures of individual materials previously determined by Proton Transfer Reaction-Mass Spectrometry (PTR-MS), an on-line analytical device. The methodology based on signal processing principles was developed by employing the method of multiple regression least squares (MRLS) and a normalization technique. Samples of nine typical building materials were tested individually and in combination, including carpet, ceiling material, gypsum board, linoleum, two paints, polyolefine, PVC and wood. Volatile Organic Compound (VOC) emissions from each material were measured in a 50-liter small-scale chamber. Chamber air was sampled by PTR-MS to establish a database of emission signatures unique to each individual material. The same task was performed to measure combined emissions from material mixtures for the application and validation of the developed signal separation method. Results showed that the proposed method could identify the individual sources under laboratory conditions with two, three, five and seven materials present. Further experiments and investigation are needed for cases where the relative emission rates among different compounds may change over a long-term period.

AB - The objective of this study was to develop and evaluate a methodology to identify individual sources of emissions based on the measurements of mixed air samples and the emission signatures of individual materials previously determined by Proton Transfer Reaction-Mass Spectrometry (PTR-MS), an on-line analytical device. The methodology based on signal processing principles was developed by employing the method of multiple regression least squares (MRLS) and a normalization technique. Samples of nine typical building materials were tested individually and in combination, including carpet, ceiling material, gypsum board, linoleum, two paints, polyolefine, PVC and wood. Volatile Organic Compound (VOC) emissions from each material were measured in a 50-liter small-scale chamber. Chamber air was sampled by PTR-MS to establish a database of emission signatures unique to each individual material. The same task was performed to measure combined emissions from material mixtures for the application and validation of the developed signal separation method. Results showed that the proposed method could identify the individual sources under laboratory conditions with two, three, five and seven materials present. Further experiments and investigation are needed for cases where the relative emission rates among different compounds may change over a long-term period.

KW - Signal processing

KW - Source identification

KW - PTR-MS

KW - VOC

KW - Materials emission signature

U2 - 10.1016/j.atmosenv.2011.03.021

DO - 10.1016/j.atmosenv.2011.03.021

JO - Atmospheric Environment

JF - Atmospheric Environment

SN - 1352-2310

IS - 18

VL - 45

SP - 3034

EP - 3045

ER -