Evaluation and prediction of fibrous filters' operating performance in residential fresh air system
Fibrous filters play a crucial role in determining indoor air quality and protect people from bacteria, particulates, and viruses such as COVID-19. However, there is a lack of comprehensive research on methods for effectively evaluating and predicting the operating performance of these filters. In t...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/179022 |
| _version_ | 1811695748218093568 |
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| author | Zhang, Miao Liu, Junjie Liu, Xinyu Zhang, Xin |
| author2 | Energy Research Institute @ NTU (ERI@N) |
| author_facet | Energy Research Institute @ NTU (ERI@N) Zhang, Miao Liu, Junjie Liu, Xinyu Zhang, Xin |
| author_sort | Zhang, Miao |
| collection | NTU |
| description | Fibrous filters play a crucial role in determining indoor air quality and protect people from bacteria, particulates, and viruses such as COVID-19. However, there is a lack of comprehensive research on methods for effectively evaluating and predicting the operating performance of these filters. In this study, we conducted laboratory and field tests on coarse (G4) and medium (F9 or F7) filters from four different brands to assess both their initial and operating performance. We discovered that a fluffy fiber structure in coarse filters could achieve an impressive threefold increase in dust holding capacity (DHC) compared to normal filters. Utilizing initial pressure drop, initial particle capture efficiency, and DHC, we introduced a new quality factor (QF) that integrates these parameters to evaluate the filter's long-term performance. This approach addresses the limitations of traditional quality factor, which neglects DHC and tends to underestimate the performance of filters with high DHC. Additionally, we proposed a simple method to predict the filter's operating pressure drop, using particle concentration data from weather report. This allows for convenient assessment of the fresh air system's operating status, offering potential integration into a user-friendly mobile application or computer software. These findings contribute innovative ideas for enhancing the intelligent and energy-efficient operation of fresh air systems. |
| first_indexed | 2024-10-01T07:28:24Z |
| format | Journal Article |
| id | ntu-10356/179022 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:28:24Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | ntu-10356/1790222024-07-16T15:37:56Z Evaluation and prediction of fibrous filters' operating performance in residential fresh air system Zhang, Miao Liu, Junjie Liu, Xinyu Zhang, Xin Energy Research Institute @ NTU (ERI@N) Earth and Environmental Sciences Air filtration Indoor air quality Fibrous filters play a crucial role in determining indoor air quality and protect people from bacteria, particulates, and viruses such as COVID-19. However, there is a lack of comprehensive research on methods for effectively evaluating and predicting the operating performance of these filters. In this study, we conducted laboratory and field tests on coarse (G4) and medium (F9 or F7) filters from four different brands to assess both their initial and operating performance. We discovered that a fluffy fiber structure in coarse filters could achieve an impressive threefold increase in dust holding capacity (DHC) compared to normal filters. Utilizing initial pressure drop, initial particle capture efficiency, and DHC, we introduced a new quality factor (QF) that integrates these parameters to evaluate the filter's long-term performance. This approach addresses the limitations of traditional quality factor, which neglects DHC and tends to underestimate the performance of filters with high DHC. Additionally, we proposed a simple method to predict the filter's operating pressure drop, using particle concentration data from weather report. This allows for convenient assessment of the fresh air system's operating status, offering potential integration into a user-friendly mobile application or computer software. These findings contribute innovative ideas for enhancing the intelligent and energy-efficient operation of fresh air systems. Submitted/Accepted version 2024-07-16T06:16:40Z 2024-07-16T06:16:40Z 2024 Journal Article Zhang, M., Liu, J., Liu, X. & Zhang, X. (2024). Evaluation and prediction of fibrous filters' operating performance in residential fresh air system. Building and Environment, 255, 111441-. https://dx.doi.org/10.1016/j.buildenv.2024.111441 0360-1323 https://hdl.handle.net/10356/179022 10.1016/j.buildenv.2024.111441 2-s2.0-85189345224 255 111441 en Building and Environment © 2024 Elsevier Ltd. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1016/j.buildenv.2024.111441. application/pdf |
| spellingShingle | Earth and Environmental Sciences Air filtration Indoor air quality Zhang, Miao Liu, Junjie Liu, Xinyu Zhang, Xin Evaluation and prediction of fibrous filters' operating performance in residential fresh air system |
| title | Evaluation and prediction of fibrous filters' operating performance in residential fresh air system |
| title_full | Evaluation and prediction of fibrous filters' operating performance in residential fresh air system |
| title_fullStr | Evaluation and prediction of fibrous filters' operating performance in residential fresh air system |
| title_full_unstemmed | Evaluation and prediction of fibrous filters' operating performance in residential fresh air system |
| title_short | Evaluation and prediction of fibrous filters' operating performance in residential fresh air system |
| title_sort | evaluation and prediction of fibrous filters operating performance in residential fresh air system |
| topic | Earth and Environmental Sciences Air filtration Indoor air quality |
| url | https://hdl.handle.net/10356/179022 |
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