Abstract
The dust particles contained in the industrial flue gas are discharged from many industrial factories, which have seriously polluted the air and endangered the health of not only human beings but also the animals living on the earth, so they are gaining much attention all over the world. In order to provide possible solutions to the above problems, many filtration technologies have been proposed and developed. As a promising filtration method, the granular bed filter (GBF) based filtration technology has been widely used in the filtration of high temperature flue gas with complex components in recent years owing to its advantages of high efficiency, low cost, simplicity, and resistance to high temperature and high pressure. Inspired by the development of numerical simulation method and experimental technology, the performance of GBF has been optimized and improved, much deeper insight of the formation and growth of dust particles has been obtained. This review focus on the basic principle of the GBF and its performance investigated by numerical and experimental methods. The reviews and outlooks of investigations on the influence factors of GBF filtration performance and the development of performance optimization method of the GBF were also presented. In addition, the microscale mechanism of the agglomeration and growth of dust particles contained in the industrial flue gas during the filtration in the GBF by means of molecular dynamics simulation were introduced, the numerical and experimental method of dust particles filtration in GBF were also discussed. Finally, available recommendations for future research of GBF are proposed, which is expected to be helpful for actual industrial engineering applications. © 2020 Elsevier B.V.
Original language | English |
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Article number | 117318 |
Journal | Separation and Purification Technology |
Volume | 251 |
Early online date | 1 Jul 2020 |
DOIs | |
Publication status | Published - 15 Nov 2020 |
Externally published | Yes |
Funding
The present work was supported by the National Key R&D Program of China (2016YFB0601100).
Keywords
- Dust particles
- Flue gas
- Granular bed filter
- Waste heat recovery