Projects per year
Abstract
A mechanical flocculation system with multi-chambers in series is commonly used as the advanced phosphorus removal technology for wastewater treatment. This work aims to numerically investigate the inner states and overall performance of industrial-scale mechanical flocculators in series. This is based on our previously developed computational fluid dynamics (CFD) flocculation model which is extended to consider the key chemical reactions of phosphorus removal. The effects of the number of flocculation chambers, locations, and sizes of the flocculation chamber connection as well as operational combinations of impeller speeds are investigated. With a decreasing number of flocculation chambers, the main vortexes and chemical reactions are weakened, while the small flocs form. Both the phosphorus removal efficiency η and the average floc size dp reduce as the number of flocculation chambers decreases. The connection location of flocculation chambers directly determines the turbulent flow, thus influencing the key performance indicators. However, the phosphorus removal efficiency η and average particle size dp are little affected by the size of the flocculation chamber connection. As the impeller speeds in series gradually increase, the gradient of floc size distribution in each chamber is enlarged and the chemical reaction is enhanced over the working volume.
Original language | English |
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Pages (from-to) | 1945-1960 |
Number of pages | 16 |
Journal | Water Science and Technology |
Volume | 87 |
Issue number | 8 |
DOIs | |
Publication status | Published - 15 Apr 2023 |
Keywords
- computational fluid dynamics
- flocculation
- geometry structures
- operational conditions
- phosphorus removal
Projects
- 1 Finished
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ARC Research Hub for Computational Particle Technology
Yu, A. (Primary Chief Investigator (PCI)), Zhao, D. (Chief Investigator (CI)), Rudman, M. (Chief Investigator (CI)), Jiang, X. (Chief Investigator (CI)), Selomulya, C. (Chief Investigator (CI)), Zou, R. (Chief Investigator (CI)), Yan, W. (Chief Investigator (CI)), Zhou, Z. (Chief Investigator (CI)), Guo, B. (Chief Investigator (CI)), Shen, Y. (Chief Investigator (CI)), Kuang, S. (Primary Chief Investigator (PCI)), Chu, K. (Chief Investigator (CI)), Yang, R. (Chief Investigator (CI)), Zhu, H. (Chief Investigator (CI)), Zeng, Q. (Chief Investigator (CI)), Dong, K. (Chief Investigator (CI)), Strezov, V. (Chief Investigator (CI)), Wang, G. (Chief Investigator (CI)), Zhao, B. (Chief Investigator (CI)), Song, S. (Partner Investigator (PI)), Evans, T. (Partner Investigator (PI)), Mao, X. (Partner Investigator (PI)), Zhu, J. (Partner Investigator (PI)), Hu, D. (Partner Investigator (PI)), Pan, R. (Partner Investigator (PI)), Li, J. (Partner Investigator (PI)), Williams, S. R. O. (Partner Investigator (PI)), Luding, S. (Partner Investigator (PI)), Liu, Q. (Partner Investigator (PI)), Zhang, J. (Chief Investigator (CI)), Huang, H. (Chief Investigator (CI)), Jiang, Y. (Chief Investigator (CI)), Qiu, T. (Partner Investigator (PI)), Hapgood, K. (Chief Investigator (CI)) & Chen, W. (Partner Investigator (PI))
ARC - Australian Research Council, Jiangxi University of Science and Technology, Jiangsu Industrial Technology Research Institute, Fujian Longking Co Ltd, Baosteel Group Corporation, Hamersley Iron Pty Limited, Monash University, University of New South Wales (UNSW), University of Queensland , Western Sydney University (WSU), Macquarie University
31/12/16 → 30/12/21
Project: Research