1
|
Fan W, Li Y, Lyu T, Yu J, Chen Z, Jarvis P, Huo Y, Xiao D, Huo M. A modelling approach to explore the optimum bubble size for micro-nanobubble aeration. WATER RESEARCH 2023; 228:119360. [PMID: 36402060 DOI: 10.1016/j.watres.2022.119360] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 10/19/2022] [Accepted: 11/12/2022] [Indexed: 06/16/2023]
Abstract
Bubble aeration has been widely applied in water/wastewater treatment, however its low gas utilization rate results in high energy consumption. Application of micro-nanobubbles (MNB) has emerged as a process with the potential to significantly increase gas utilisation due to their high relative surface area and high gas-liquid mass transfer efficiency. In this study, we demonstrate through calibrated models that MNB of an optimum bubble size can shrink and burst at or below the water surface enabling (1) all encapsulated gas to thoroughly dissolve in water, and (2) the bursting of nanobubbles to potentially generate free radicals. Through the understanding of MNB dimensional characteristics and bubble behaviour in water, a dynamic model that integrated force balance (i.e. buoyancy force, gravity, drag force, Basset force and virtual mass force), and mass transfer was developed to describe the rising velocity and radius variation of MNB along its upward trajectory. Unlike for conventional millimetre-sized bubbles, intensive gas dissolution of MNBs led to radius reduction for small bubbles, while a large initial radius triggers bubble swelling. The initial water depth was also crucial, where greater depth could drive the potential for bubble shrinkage so that they were more liable to contract. For example, the optimum bubble size of air (42-194 μm) and oxygen (127-470 μm) MNB that could achieve complete gas transfer (100% gas utilisation) for a range of specific water depths (0.5-10 m) were calculated. The modelling results for microbubbles (10-530 μm) were well validated by the experimental data (R2>0.85). However, the validation of the modelling results for nanobubble (<1 μm) aeration requires further study due to a lack of available empirical data. In this study, the proposed model and analysis provided new insights into understanding bubble dynamics in water and offered fundamental guidance for practitioners looking to upgrade bubble aeration system.
Collapse
Affiliation(s)
- Wei Fan
- School of Environment, Northeast Normal University, 2555 Jingyue Street, Changchun 130117, China
| | - Yuhang Li
- School of Environment, Northeast Normal University, 2555 Jingyue Street, Changchun 130117, China
| | - Tao Lyu
- School of Water, Energy and Environment, Cranfield University, College Road, Cranfield, Bedfordshire MK43 0AL, United Kingdom
| | - Jia'ao Yu
- School of Environment, Northeast Normal University, 2555 Jingyue Street, Changchun 130117, China
| | - Zhen Chen
- School of Environment, Northeast Normal University, 2555 Jingyue Street, Changchun 130117, China
| | - Peter Jarvis
- School of Water, Energy and Environment, Cranfield University, College Road, Cranfield, Bedfordshire MK43 0AL, United Kingdom
| | - Yang Huo
- School of Environment, Northeast Normal University, 2555 Jingyue Street, Changchun 130117, China.
| | - Dan Xiao
- Jilin Academy of Agricultural Science, 1363 Shengtai Street, Changchun 130033, China.
| | - Mingxin Huo
- School of Environment, Northeast Normal University, 2555 Jingyue Street, Changchun 130117, China
| |
Collapse
|
2
|
Tang R, Cui C, Zhang D, Li D, Li J, Xu X. Experimental and CFD Simulation Study of the Air-Blowing Process of Iodine in Nitric Acid Solution. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c01767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Ruishu Tang
- School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 102488, P. R. China
| | - Chang Cui
- School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 102488, P. R. China
| | - Dongxiang Zhang
- School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 102488, P. R. China
| | - Dagang Li
- School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 102488, P. R. China
| | - Jinying Li
- School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 102488, P. R. China
| | - Xiyan Xu
- School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 102488, P. R. China
| |
Collapse
|
3
|
Van Hoecke L, Boeye D, Gonzalez‐Quiroga A, Patience GS, Perreault P. Experimental methods in chemical engineering: Computational fluid dynamics/finite volume
method–CFD
/
FVM. CAN J CHEM ENG 2022. [DOI: 10.1002/cjce.24571] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Laurens Van Hoecke
- Sustainable Energy, Air and Water Technology, Department of Bioscience Engineering University of Antwerp Groenenborgerlaan 171, Antwerp Belgium
| | - Dieter Boeye
- Sustainable Energy, Air and Water Technology, Department of Bioscience Engineering University of Antwerp Groenenborgerlaan 171, Antwerp Belgium
| | - Arturo Gonzalez‐Quiroga
- UREMA Research Unit, Department of Mechanical Engineering, Universidad Del Norte Barranquilla Atlántico Colombia
| | - Gregory S. Patience
- Chemical Engineering, Polytechnique Montréal C.P. 6079, Succ. “CV”, Montréal, H3C 3A7 Québec Canada
| | - Patrice Perreault
- Blue App University of Antwerp, Belgium, Middelheimlaan 1 Antwerp Belgium
- Institute of Environment and Sustainable Development (IMDO), University of Antwerp Groenenborgerlaan 171 Antwerp Belgium
| |
Collapse
|
4
|
Paul MM, Pakzad L. Bubble size distribution and gas holdup in bubble columns employing
non‐Newtonian
liquids: A
CFD
Study. CAN J CHEM ENG 2022. [DOI: 10.1002/cjce.24352] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Meljin Madavana Paul
- Department of Chemical Engineering Lakehead University 955 Oliver Road, Thunder Bay, ON P7B 5E1 Canada
| | - Leila Pakzad
- Department of Chemical Engineering Lakehead University 955 Oliver Road, Thunder Bay, ON P7B 5E1 Canada
| |
Collapse
|
5
|
Li W, Zhou G, Sun J, Guo Y, Wang R. Impacts of Particle Properties on Gas Holdup under Four Flow Regimes in Three‐Phase Bubble Columns. Chem Eng Technol 2021. [DOI: 10.1002/ceat.202100291] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Weiling Li
- Southeast University Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education School of Energy and Environment 210096 Nanjing China
- Nanjing Normal University Jiangsu Provincial Key Laboratory of Materials Cycling and Pollution Control School of Energy and Mechanical Engineering 2 Xuelin road 210042 Nanjing China
| | - Genfu Zhou
- Water Conservancy and Flood Control Material Reserve Center of Jiangsu Province 210029 Nanjing China
| | - Jian Sun
- Nanjing Normal University Jiangsu Provincial Key Laboratory of Materials Cycling and Pollution Control School of Energy and Mechanical Engineering 2 Xuelin road 210042 Nanjing China
| | - Yafei Guo
- Nanjing Normal University Jiangsu Provincial Key Laboratory of Materials Cycling and Pollution Control School of Energy and Mechanical Engineering 2 Xuelin road 210042 Nanjing China
| | - Ruilin Wang
- Nanjing Normal University Jiangsu Provincial Key Laboratory of Materials Cycling and Pollution Control School of Energy and Mechanical Engineering 2 Xuelin road 210042 Nanjing China
| |
Collapse
|
6
|
Mahmoudi S, Hlawitschka MW. Effect of Solid Particles on the Slurry Bubble Columns Behavior – A Review. CHEMBIOENG REVIEWS 2021. [DOI: 10.1002/cben.202100032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Sadra Mahmoudi
- Johannes Kepler University Linz Institute of Process Engineering Altenbergerstrasse 69 4040 Linz Austria
| | - Mark W. Hlawitschka
- Johannes Kepler University Linz Institute of Process Engineering Altenbergerstrasse 69 4040 Linz Austria
| |
Collapse
|
7
|
Erdogan S, Schulenberg T, Deutschmann O, Wörner M. Evaluation of models for bubble-induced turbulence by DNS and utilization in two-fluid model computations of an industrial pilot-scale bubble column. Chem Eng Res Des 2021. [DOI: 10.1016/j.cherd.2021.09.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
8
|
Hlawitschka MW. Process Engineering at JKU Linz. CHEM-ING-TECH 2021. [DOI: 10.1002/cite.202100124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Mark W. Hlawitschka
- Johannes Kepler Universität Linz Institut für Verfahrenstechnik Altenbergerstraße 69 4040 Linz Österreich
| |
Collapse
|
9
|
Schlüter M, Herres-Pawlis S, Nieken U, Tuttlies U, Bothe D. Small-Scale Phenomena in Reactive Bubbly Flows: Experiments, Numerical Modeling, and Applications. Annu Rev Chem Biomol Eng 2021; 12:625-643. [PMID: 34097844 DOI: 10.1146/annurev-chembioeng-092220-100517] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Improving the yield and selectivity of chemical reactions is one of the challenging tasks in paving the way for a more sustainable and climate-friendly economy. For the industrially highly relevant gas-liquid reactions, this can be achieved by tailoring the timescales of mixing to the requirements of the reaction. Although this has long been known for idealized reactors and time- and space-averaged processes, considerable progress has been made recently on the influence of local mixing processes. This progress has become possible through joint research between chemists, mathematicians, and engineers. We present the reaction systems with adjustable kinetics that have been developed, which are easy to handle and analyze. We show examples of how the selectivity of competitive-consecutive reactions can be controlled via local bubble wake structures. This is demonstrated for Taylor bubbles and bubbly flows under technical conditions. Highly resolvednumerical simulations confirm the importance of the bubble wake structure for the performance of a particular chemical reaction and indicate tremendous potential for future process improvements.
Collapse
Affiliation(s)
- Michael Schlüter
- Institute of Multiphase Flows, Hamburg University of Technology, 21073 Hamburg, Germany;
| | - Sonja Herres-Pawlis
- Institute for Anorganic Chemistry, RWTH Aachen University, 52074 Aachen, Germany;
| | - Ulrich Nieken
- Institute of Chemical Process Engineering, University of Stuttgart, 70199 Stuttgart, Germany; ,
| | - Ute Tuttlies
- Institute of Chemical Process Engineering, University of Stuttgart, 70199 Stuttgart, Germany; ,
| | - Dieter Bothe
- Mathematical Modeling and Analysis, Department of Mathematics, Technical University of Darmstadt, 64287 Darmstadt, Germany;
| |
Collapse
|
10
|
Estimation of the spatial discretization error in numerical simulations of bubbly flows. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.116503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
|
11
|
A one-dimensional combined multifluid-population balance model for the simulation of batch bubble columns. Chem Eng Res Des 2021. [DOI: 10.1016/j.cherd.2021.03.036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
|
12
|
Seidel S, Maschke RW, Werner S, Jossen V, Eibl D. Oxygen Mass Transfer in Biopharmaceutical Processes: Numerical and Experimental Approaches. CHEM-ING-TECH 2020. [DOI: 10.1002/cite.202000179] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Stefan Seidel
- Zurich University of Applied Sciences School of Life Sciences and Facility Management Institute of Chemistry and Biotechnology Grüentalstrasse 14 8820 Wädenswil Switzerland
| | - Rüdiger W. Maschke
- Zurich University of Applied Sciences School of Life Sciences and Facility Management Institute of Chemistry and Biotechnology Grüentalstrasse 14 8820 Wädenswil Switzerland
| | - Sören Werner
- Zurich University of Applied Sciences School of Life Sciences and Facility Management Institute of Chemistry and Biotechnology Grüentalstrasse 14 8820 Wädenswil Switzerland
| | - Valentin Jossen
- Zurich University of Applied Sciences School of Life Sciences and Facility Management Institute of Chemistry and Biotechnology Grüentalstrasse 14 8820 Wädenswil Switzerland
| | - Dieter Eibl
- Zurich University of Applied Sciences School of Life Sciences and Facility Management Institute of Chemistry and Biotechnology Grüentalstrasse 14 8820 Wädenswil Switzerland
| |
Collapse
|
13
|
Mühlbauer A, Böck O, Raab R, Hlawitschka MW, Bart H. Solid Particle Effects in Centi‐scale Slurry Bubble Columns. CHEM-ING-TECH 2020. [DOI: 10.1002/cite.202000136] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Adam Mühlbauer
- Technische Universität Kaiserslautern Lehrstuhl für Thermische Verfahrenstechnik Gottlieb-Daimler-Straße 44 67663 Kaiserslautern Germany
| | - Olivia Böck
- Technische Universität Kaiserslautern Lehrstuhl für Thermische Verfahrenstechnik Gottlieb-Daimler-Straße 44 67663 Kaiserslautern Germany
| | - Raphael Raab
- Technische Universität Kaiserslautern Lehrstuhl für Thermische Verfahrenstechnik Gottlieb-Daimler-Straße 44 67663 Kaiserslautern Germany
| | - Mark W. Hlawitschka
- Technische Universität Kaiserslautern Lehrstuhl für Thermische Verfahrenstechnik Gottlieb-Daimler-Straße 44 67663 Kaiserslautern Germany
| | - Hans‐Jörg Bart
- Technische Universität Kaiserslautern Lehrstuhl für Thermische Verfahrenstechnik Gottlieb-Daimler-Straße 44 67663 Kaiserslautern Germany
| |
Collapse
|
14
|
Approximate Moment Methods for Population Balance Equations in Particulate and Bioengineering Processes. Processes (Basel) 2020. [DOI: 10.3390/pr8040414] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Population balance modeling is an established framework to describe the dynamics of particle populations in disperse phase systems found in a broad field of industrial, civil, and medical applications. The resulting population balance equations account for the dynamics of the number density distribution functions and represent (systems of) partial differential equations which require sophisticated numerical solution techniques due to the general lack of analytical solutions. A specific class of solution algorithms, so-called moment methods, is based on the reduction of complex models to a set of ordinary differential equations characterizing dynamics of integral quantities of the number density distribution function. However, in general, a closed set of moment equations is not found and one has to rely on approximate closure methods. In this contribution, a concise overview of the most prominent approximate moment methods is given.
Collapse
|