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doi:10.22028/D291-37449
Title: | Reproducibly emitting reference materials for volatile and semi-volatile organic compounds—using finite element modeling for emission predictions |
Author(s): | Mull, Birte Sauerwald, Tilman Schultealbert, Caroline Horn, Wolfgang Brödner, Doris Richter, Matthias |
Language: | English |
Title: | Air quality, atmosphere and health : an international journal |
Volume: | 10 |
Issue: | 10 |
Startpage: | 1237 |
Endpage: | 1246 |
Publisher/Platform: | Springer |
Year of Publication: | 2017 |
Free key words: | Emitting reference material Emission test chamber Micro-chamber FEM model |
DDC notations: | 690 Building and construction |
Publikation type: | Journal Article |
Abstract: | Recent research into emissions of (semi-)volatile organic compounds [(S)VOC] from solid materials has focused on the development of suitable reference materials for quality assurance/quality control of emission test chamber measurements, which fulfill requirements such as homogenous and reproducible (S)VOC release. The approach of this study was to find a method for preparation of a material with predictable (S)VOC emission rates. A VOC (styrene) and an SVOC (2,6-diisopropylnaphthalene, DIPN), loaded into either vacuum grease or a 1:1 mixture of paraffin/squalane, have been tested. For the prediction of the emission rates, a model using the finite element method (FEM) was created to simulate the (S)VOC emission profiles. Theoretical and experimental results obtained in a Micro-Chamber/Thermal Extractor (μ-CTE™) and in 24 L emission test chamber measurements were in good agreement. Further properties were investigated concerning the material applicability, such as shelf life and inter-laboratory comparability. The maximum relative standard deviation in the inter-laboratory study was found to be 20%. |
DOI of the first publication: | 10.1007/s11869-017-0508-6 |
URL of the first publication: | https://link.springer.com/article/10.1007/s11869-017-0508-6 |
Link to this record: | urn:nbn:de:bsz:291--ds-374495 hdl:20.500.11880/33870 http://dx.doi.org/10.22028/D291-37449 |
ISSN: | 1873-9318 1873-9326 |
Date of registration: | 29-Sep-2022 |
Faculty: | NT - Naturwissenschaftlich- Technische Fakultät |
Department: | NT - Systems Engineering |
Professorship: | NT - Prof. Dr. Andreas Schütze |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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