Delft University of Technology
Improvement of the Richardson-Zaki liquid-solid fluidisation model on the basis of hydraulics (PPT)
Kramer, Onno
Publication date 2018
Document Version Final published version
Citation (APA)
Kramer, O. (2018). Improvement of the Richardson-Zaki liquid-solid fluidisation model on the basis of hydraulics (PPT). 16th Multiphase Flows conference and shore course, Dresden, Germany.
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15 November 2018
Improvement of the Richardson-Zaki
liquid-solid fluidisation model
on the basis of hydraulics
Onno Kramer
15 November 2018
Contents
o
Introduction
o
Objectives
o
Materials and methods
o
Results and discussion
o
Conclusions
Contents
● Introduction
o
Objectives
o
Materials and methods
o
Results and discussion
o
Conclusions
1 Waternet Drinking Water Department
2 HU University of Applied Sciences Utrecht,
Institute for Life Science and Chemistry,
3 TUD Delft University of Technology,
Faculty of Civil Engineering and Geosciences
4 TUD Delft University of Technology,
Faculty of Mechanical, Maritime and Materials Engineering
5 Omnisys
Consultancy
Onno Kramer1, 2, 3, 4
Eric Baars1
Peter de Moel3, 5
Wim van Vugt2
Johan Padding4
Jan Peter van der Hoek1, 3
Hydraulic modelling of liquid-solid fluidisation in drinking water treatment processes
Objective Materials & methods Results & discussion
Introduction
Introduction Conclusions Questions
1.2 million clients
Objective Materials & methods Results & discussion
Introduction
Introduction Conclusions Questions
Background: (water cycle)
Field: (drinking water treatment processes) System: (multiphase flows)
Process: (softening)
Fluidisation: (liquid-solid = water-calcite pellets)
Objective Materials & methods Results & discussion
Introduction
Introduction Conclusions Questions
Background: (water cycle)
Field: (drinking water treatment processes)
System: (multiphase flows) Process: (softening)
Fluidisation: (liquid-solid = water-calcite pellets)
Source Coagulation Sedimentation Infiltration Filtration Ozone Softening BACF SSF Reservoir Network
No chlorine!
Objective Materials & methods Results & discussion
Introduction
Introduction Conclusions Questions
Background: (water cycle)
Field: (drinking water treatment processes)
System: (multiphase flows)
Process: (softening)
Fluidisation: (liquid-solid = water-calcite pellets)
Objective Materials & methods Results & discussion
Introduction
Introduction Conclusions Questions
Background: (water cycle)
Field: (drinking water treatment processes) System: (multiphase flows)
Process: (softening)
Fluidisation: (liquid-solid = water-calcite pellets) OH- + HCO3- ↔ CO32- + H2O
CO32- + Ca2+ → CaCO
3↓
10 - Hardness reduction to 1.4 mmol/L
- Reduces solubility of lead (public health) and copper (environment) - Economic benefits and comfort
- Reduction of washing powder
- Increase life time hot water equipment - Cleaner laundry, tasteful tea
Objective Materials & methods Results & discussion
Introduction
Introduction Conclusions Questions
Background: (water cycle)
Field: (drinking water treatment processes) System: (multiphase flows)
Process: (softening)
Fluidisation: (liquid-solid = water-calcite pellets)
Hard water NaOH Soft water Pellets Seeding 11
Contents
o Introduction
● Objectives
o
Materials and methods
o
Results and discussion
o
Conclusions
Objective
Objective Materials & methods Results & discussion
Introduction Conclusions Questions
Objectives:
• Increasing sustainability
• Reducing chemical use
• Improving water quality
Method: improved model based on hydraulics (porosity) Focus: crystallisation on specific surface area
Objective
Objective Materials & methods Results & discussion
Introduction Conclusions Questions
Objectives:
• Increasing sustainability • Reducing chemical use • Improving water quality
Method: improved model based on hydraulics (porosity) Focus: crystallisation on specific surface area
Contents
o Introduction
o Objectives
● Materials and methods
o
Results and discussion
o
Conclusions
Objective Materials & methodsMaterials & methods Results & discussion
Introduction Conclusions Questions
Starting point: most popular fluidisation model Reference: Richardson-Zaki (1954)
Model analysis: influence of parameters Introduction: hydraulic model components Experiments: pilot plant research
Particles: CaCO3 pellets, garnet sand, crushed calcite Data matrix: (grain size, temperature, water flow) Validation: data comparison
Objective Materials & methodsMaterials & methods Results & discussion
Introduction Conclusions Questions
Starting point: most popular fluidisation model Reference: Richardson-Zaki (1954)
Model analysis: influence of parameters
Introduction: hydraulic model components Experiments: pilot plant research
Particles: CaCO3 pellets, garnet sand, crushed calcite Data matrix: (grain size, temperature, water flow) Validation: data comparison
Objective Materials & methodsMaterials & methods Results & discussion
Introduction Conclusions Questions
Starting point: most popular fluidisation model Reference: Richardson-Zaki (1954)
Model analysis: influence of parameters
Introduction: hydraulic model components Experiments: pilot plant research
Particles: CaCO3 pellets, garnet sand, crushed calcite Data matrix: (grain size, temperature, water flow) Validation: data comparison
Porosity
Index Superficial velocity
Terminal velocity
Objective Materials & methodsMaterials & methods Results & discussion
Introduction Conclusions Questions
R a ti o : s u p e rf ic ia l / te rmi n a l s e ttl in g v e lo c ity [-] Porosity [m³/m³] Terminal velocity Formula
Classical Richardson-Zaki equation
= < 0.2, = 4.65 0.2 ≤ < 1, = 4.4 −0.03 1 ≤ < 500, = 4.4 −0.1 ≥ 500, = 2.4 General expression = 1 2
Garside & Al-Dibouni equation −
− =
Khan & Richardson −
− =
Index
Objective Materials & methodsMaterials & methods Results & discussion
Introduction Conclusions Questions
R a ti o : s u p e rf ic ia l / te rmi n a l s e ttl in g v e lo c ity [-] Porosity [m³/m³] Terminal velocity Formula
Classical Richardson-Zaki equation
= < 0.2, = 4.65 0.2 ≤ < 1, = 4.4 −0.03 1 ≤ < 500, = 4.4 −0.1 ≥ 500, = 2.4 General expression = 1 2
Garside & Al-Dibouni equation −
− =
Khan & Richardson −
− =
Index
Objective Materials & methodsMaterials & methods Results & discussion
Introduction Conclusions Questions
R a ti o : s u p e rf ic ia l / te rmi n a l s e ttl in g v e lo c ity [-] Porosity [m³/m³] Terminal velocity Superficial velocity Index 21
Objective Materials & methodsMaterials & methods Results & discussion
Introduction Conclusions Questions
R a ti o : s u p e rf ic ia l / te rmi n a l s e ttl in g v e lo c ity [-] Porosity [m³/m³] Terminal velocity Index Minimum fluidisation velocity Incipient porosity
Granular activated carbon filtration backwash:
ε ≈ 0.45
Pellet softening fluidisation: ε ≈ 0.55
Objective Materials & methodsMaterials & methods Results & discussion
Introduction Conclusions Questions
R a ti o : s u p e rf ic ia l / te rmi n a l s e ttl in g v e lo c ity [-] Porosity [m³/m³] n=2.4 inertial regime n=2.6 n=2.8 n=3.0 n=3.2 n=3.4 n=3.6 n=3.8 n=4.0 n=4.2 n=4.4 n=4.6 n=4.8 viscous regime Minimum fluidisation Terminal velocity Incipient porosity Minimum fluidisation velocity Formula
Classical Richardson-Zaki equation
= < 0.2, = 4.65 0.2 ≤ < 1, = 4.4 −0.03 1 ≤ < 500, = 4.4 −0.1 ≥ 500, = 2.4 General expression = 1 2
Garside & Al-Dibouni equation −
− =
Khan & Richardson −
− =
Index
R a ti o : s u p e rf ic ia l / te rmi n a l s e ttl in g v e lo c ity [-] Porosity [m³/m³]
Objective Materials & methodsMaterials & methods Results & discussion
Introduction Conclusions Questions
Minimum fluidisation
velocity
Terminal velocity
Brown-Lawler (improved Schiller-Naumann)
= 24 1 + 0.15 . + 0.407 1 +8710 Carman-Kozeny =180+ 2.87. 24 Index = log , 1 − log , = 1 1 − = Interpolation
Objective Materials & methodsMaterials & methods Results & discussion
Introduction Conclusions Questions
Starting point: most popular fluidisation model Reference: Richardson-Zaki (1954)
Model analysis: influence of parameters
Introduction: hydraulic model components
Experiments: pilot plant research
Particles: CaCO3 pellets, garnet sand, crushed calcite Data matrix: (grain size, temperature, water flow) Validation: data comparison
Porosity
Index Superficial velocity
Terminal velocity
Carman-Kozeny (at minimum fluidisation)
Brown-Lawler (at terminal settling settling)
= 24 1 + 0.15 . + 0.407 1 +8710 =180+ 2.87.
Objective Materials & methodsMaterials & methods Results & discussion
Introduction Conclusions Questions
Starting point: most popular fluidisation model Reference: Richardson-Zaki (1954)
Model analysis: influence of parameters Introduction: hydraulic model components
Experiments: pilot plant research
Particles: CaCO3 pellets, garnet sand, crushed calcite Data matrix: (grain size, temperature, water flow) Validation: data comparison
Objective Materials & methodsMaterials & methods Results & discussion
Objective Materials & methodsMaterials & methods Results & discussion
Introduction Conclusions Questions
Starting point: most popular fluidisation model Reference: Richardson-Zaki (1954)
Model analysis: influence of parameters Introduction: hydraulic model components Experiments: pilot plant research
Particles: CaCO3 pellets, garnet sand, crushed calcite
Data matrix: (grain size, temperature, water flow) Validation: data comparison
1 mm
Objective Materials & methodsMaterials & methods Results & discussion
Introduction Conclusions Questions
Starting point: most popular fluidisation model Reference: Richardson-Zaki (1954)
Model analysis: influence of parameters Introduction: hydraulic model components Experiments: pilot plant research
Particles: CaCO3 pellets, garnet sand, crushed calcite
Data matrix: (grain size, temperature, water flow)
Validation: data comparison 10 sieved fractions(0.4 < dz < 2.0 mm)
4 temperatures
(5, 15, 25, 35 °C)
25 ascending water flows
(0-180 m/h)
Contents
o Introduction
o Objectives
o Materials and methods
● Results and discussion
o
Conclusions
Objective Materials & methods Results & discussionResults & discussion
Introduction Conclusions Questions
Experiments: 76 fluidisation characteristics
Results: model (implicit) and simplified model (explicit) Application: drinking water pellet softening
Model accuracy improvement
Objective Materials & methods Results & discussionResults & discussion
Introduction Conclusions Questions
Experiments: 76 fluidisation characteristics
Results: model (implicit) and simplified model (explicit) Application: drinking water pellet softening
Model accuracy improvement
. −
− . = . .
Objective Materials & methods Results & discussionResults & discussion
Introduction Conclusions Questions 34
1 10 1 10 100 1.000 Coef fi ci ent (Ri card so n -Z ak i) [-] Reynolds terminal [-]
n=2.4 (viscous regime) n=4.8 (inertial regime) Richardson-Zaki (1954) Wallis (1969)
Richardson (1971) Garside-AlDibouni (1977) Rowe (1987) Khan and Richardson (1989) RZ-hydr1 (BL+CK) RZ-hydr2 (KZ+LW)
RZ-hydr3 (EG+LW) Rowe-hydr-Ret Calcite pellets (42) Sand pellets (0) Garnet pellets (0) Glass pearls (0) Garnet (13) Calcite IT (0) Calcite UK (0) Calcite NL (0) Calcite NH (20) Crystal sand (0)
Objective Materials & methods Results & discussionResults & discussion
Introduction Conclusions Questions
Experiments: 76 fluidisation characteristics
Results: model (implicit) and simplified model (explicit) Application: drinking water pellet softening
Model accuracy improvement
35 0%
5% 10% 15%
20% Porosity prediction error Whole range mf-180 [m/h] 60-90 [m/h] 0% 20% 40% 60% 80% 100%
Objective Materials & methods Results & discussionResults & discussion
Introduction Conclusions Questions
Experiments: 76 fluidisation characteristics
Results: model (implicit) and simplified model (explicit) Application: drinking water pellet softening
Model accuracy improvement
minimum fluidisa on >100%→12% porosity >15%→3%
36 0%
5% 10% 15%
20% Porosity prediction error Whole range mf-180 [m/h] 60-90 [m/h] 0% 20% 40% 60% 80% 100%
Contents
o Introduction
o Objectives
o Materials and methods
o Results and discussion
● Conclusions
Objective Materials & methods Results & discussion
Introduction ConclusionsConclusions Questions
RZ models can be improved based on hydraulics principles i.e. 3 points (ε,v)
(0,0) (εmf, vmf) (ε→1, vt)
Porosity can be predicted more accurately
Recommendations:
• Model enhancement (more general)
• Identification of irregularly shaped particles
• Implications for specific surface area (Interfacial Area Density)
Objective Materials & methods Results & discussion
Introduction ConclusionsConclusions Questions
RZ models can be improved based on hydraulics principles i.e. 3 points (ε,v) (0,0) (εmf, vmf) (ε→1, vt)
Porosity can be predicted more accurately
Recommendations:
• Model enhancement (more general)
• Identification of irregularly shaped particles
• Implications for specific surface area (Interfacial Area Density)
Contents
o Introduction
o Objectives
o Materials and methods
o Results and discussion
o Conclusions
DOI: 10.1016/j.powtec.2018.11.018
Thank you for your attention
Personalia
Name: Onno Kramer Phone.: 06-42147123
E-mail: onno.kramer@waternet.nl Network: LinkedIn
Publications: TUDelft PureCycle , ResearchGate,
Waternet, Sector Drinking Water, Department, Production
HU University of Applied Sciences Utrecht, Institute for Life Science and Chemistry
Delft University of Technology
Faculty of Civil Engineering and Geosciences, Department Water Management, Section Sanitary Engineering, Research Group Drinking Water Faculty of Mechanical, Maritime and Materials Engineering, Department Process and Energy, Section Intensified Reaction and Separation Systems
Optional for questions
Rat io: super ficial / te rm inal set tl ing v e loc ity [-] Porosity [m³/m³] n=2.4 inertial regime n=2.6 n=2.8 n=3.0 n=3.2 n=3.4 n=3.6 n=3.8 n=4.0 n=4.2 n=4.4 n=4.6 n=4.8 viscous regime Minimum fluidisation 50
0,4 0,5 0,6 0,7 0,8 0,9 1,0 0,0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1,0 Porosi ty [m ³/m ³]
Ratio: superficial / terminal settling velocity [-]
n=2.4 inertial regime n=2.6 n=2.8 n=3.0 n=3.2 n=3.4 n=3.6 n=3.8 n=4.0 n=4.2 n=4.4 n=4.6 n=4.8 viscous regime 51
1 10 1 10 100 1.000 10.000 Coe fficien t (Ricar dso n -Zaki) [-] Reynolds terminal [-] n=2,4 (viscous regime) n=4,8 (inertial regime) Richardson-Zaki (1954) Wallis (1969) Richardson (1971) Garside-AlDibouni (1977) Rowe (1987) Khan-Richardson (1989) RZ-hydr1 (BL+CK) RZ-hydr2 (KZ+LW) RZ-hydr3 (EG+LW) RZ-hydr-Ret Metal balls (RZ) RZ data 0,1 1 0,4 Su pe rf icial ve lo ci ty [m /s] Porosity m³/m³] n(m=1kg)=2.406 n(m=2kg)=2.434 n(m=3kg)=2.415 52
Profit: re-use calcite as a seeding material - Cost reduction: 100.000 €/year (0,4%)
- Sustainability: 40.000 eco-points/year (5%)
- Valorisation: high market segments: glass/paper/capet… - Vision: possibilities introduction of process cycles in industry - So much to learn…
- Legislation - Hydraulic
- LCA calculation
The Calcite factory
53
CFD oppertunities
57 - Interstitial velocity versus terminal settling velocity
- Tortuosity versus ratio terminal and interstitial velocity
- Influence of the geometric representation (shape) on the specific surface area - Particle interactions and collisions versus drag
- Relevant forces buoyancy, gravity and friction - Surface roughness impact
- …
Any suggestions are welcome.