Incremental Evaluation Model for the Analysis of Indoor Air Measurements
The investigation of the cleaning effectiveness of air cleaners under realistic conditions is challenging. Mathematical models are needed to extract characteristic properties of the air cleaning system from experimental data. An incremental evaluation model based on a source term and a total first-o...
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-10-01
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| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/13/10/1655 |
| _version_ | 1797475417150455808 |
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| author | Andreas Schmohl Michael Buschhaus Victor Norrefeldt Sabine Johann Andrea Burdack-Freitag Christian R. Scherer Pablo A. Vega Garcia Christoph Schwitalla |
| author_facet | Andreas Schmohl Michael Buschhaus Victor Norrefeldt Sabine Johann Andrea Burdack-Freitag Christian R. Scherer Pablo A. Vega Garcia Christoph Schwitalla |
| author_sort | Andreas Schmohl |
| collection | DOAJ |
| description | The investigation of the cleaning effectiveness of air cleaners under realistic conditions is challenging. Mathematical models are needed to extract characteristic properties of the air cleaning system from experimental data. An incremental evaluation model based on a source term and a total first-order loss coefficient in each segment was developed to analyze indoor particle measurements. The application of the model is demonstrated using two scenarios, one in a well-mixed testing room and another in a fully equipped aircraft cabin at 750 hPa with a typical aircraft ventilation system. In the first scenario, a normalized version of the model is used to eliminate the source’s influence. For the investigation in the aircraft cabin, the model served to extract temporal and spatial resolved source terms and first-order loss coefficients. The incremental evaluation model is applicable to enhance the certification of air cleaners. The application of the model is not only limited to particles; measurements of gaseous compounds like ozone, carbon dioxide, or volatile organic compounds can be evaluated analogously. The model’s utility for the data analysis of experiments with complex flow conditions should be studied in further investigations. |
| first_indexed | 2024-03-09T20:43:49Z |
| format | Article |
| id | doaj.art-84b05be604be47499c91f31a20f72d2d |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-09T20:43:49Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-84b05be604be47499c91f31a20f72d2d2023-11-23T22:51:39ZengMDPI AGAtmosphere2073-44332022-10-011310165510.3390/atmos13101655Incremental Evaluation Model for the Analysis of Indoor Air MeasurementsAndreas Schmohl0Michael Buschhaus1Victor Norrefeldt2Sabine Johann3Andrea Burdack-Freitag4Christian R. Scherer5Pablo A. Vega Garcia6Christoph Schwitalla7Fraunhofer Institute for Building Physics IBP, Fraunhoferstr. 10, 83626 Valley, GermanyFraunhofer Institute for Building Physics IBP, Fraunhoferstr. 10, 83626 Valley, GermanyFraunhofer Institute for Building Physics IBP, Fraunhoferstr. 10, 83626 Valley, GermanyFraunhofer Institute for Building Physics IBP, Fraunhoferstr. 10, 83626 Valley, GermanyFraunhofer Institute for Building Physics IBP, Fraunhoferstr. 10, 83626 Valley, GermanyFraunhofer Institute for Building Physics IBP, Fraunhoferstr. 10, 83626 Valley, GermanyFraunhofer Institute for Building Physics IBP, Fraunhoferstr. 10, 83626 Valley, GermanyFraunhofer Institute for Building Physics IBP, Fraunhoferstr. 10, 83626 Valley, GermanyThe investigation of the cleaning effectiveness of air cleaners under realistic conditions is challenging. Mathematical models are needed to extract characteristic properties of the air cleaning system from experimental data. An incremental evaluation model based on a source term and a total first-order loss coefficient in each segment was developed to analyze indoor particle measurements. The application of the model is demonstrated using two scenarios, one in a well-mixed testing room and another in a fully equipped aircraft cabin at 750 hPa with a typical aircraft ventilation system. In the first scenario, a normalized version of the model is used to eliminate the source’s influence. For the investigation in the aircraft cabin, the model served to extract temporal and spatial resolved source terms and first-order loss coefficients. The incremental evaluation model is applicable to enhance the certification of air cleaners. The application of the model is not only limited to particles; measurements of gaseous compounds like ozone, carbon dioxide, or volatile organic compounds can be evaluated analogously. The model’s utility for the data analysis of experiments with complex flow conditions should be studied in further investigations.https://www.mdpi.com/2073-4433/13/10/1655mathematical modeldata analysisCADRair purifierair cleaneraircraft cabin |
| spellingShingle | Andreas Schmohl Michael Buschhaus Victor Norrefeldt Sabine Johann Andrea Burdack-Freitag Christian R. Scherer Pablo A. Vega Garcia Christoph Schwitalla Incremental Evaluation Model for the Analysis of Indoor Air Measurements Atmosphere mathematical model data analysis CADR air purifier air cleaner aircraft cabin |
| title | Incremental Evaluation Model for the Analysis of Indoor Air Measurements |
| title_full | Incremental Evaluation Model for the Analysis of Indoor Air Measurements |
| title_fullStr | Incremental Evaluation Model for the Analysis of Indoor Air Measurements |
| title_full_unstemmed | Incremental Evaluation Model for the Analysis of Indoor Air Measurements |
| title_short | Incremental Evaluation Model for the Analysis of Indoor Air Measurements |
| title_sort | incremental evaluation model for the analysis of indoor air measurements |
| topic | mathematical model data analysis CADR air purifier air cleaner aircraft cabin |
| url | https://www.mdpi.com/2073-4433/13/10/1655 |
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