Population Balance Modeling

Similar documents
Modeling Industrial Crystallizers

STABILITY CONDITIONS AND OBSERVER DESIGN FOR A CONTINUOUS CRYSTALLIZER

COMPARISON OF ANALYTICAL SOLUTIONS FOR CMSMPR CRYSTALLIZER WITH QMOM POPULATION BALANCE MODELING IN FLUENT

Technical Paper. Spray Granulation Gives Solid Materials Customized. The properties of spray-granulated products can be as varied as their appearance

Lecture 7. Sorption-Separation Equipment

Hybrid CFD-Multizonal Modelling of Polymorphs and Agglomeration Phenomena in Crystallisation Processes

Chapter 7 Mixing and Granulation

GROWTH RATE OF HYDROXYAPATITE CRYSTALS OBTAINED BY PRECIPITATION

Evaporative batch crystallisation model validation and linearisation for Model Predictive Control

Name of Course: B.Tech. (Chemical Technology/Leather Technology)

Numerical Solutions of Population-Balance Models in Particulate Systems

Technical Resource Package 1

Stabilization of continuous fluidized bed spray granulation - a Lyapunov approach

Control of a Granulation Process Using a Nonlinear MPC Formulation

Prediction of Minimum Fluidisation Velocity Using a CFD-PBM Coupled Model in an Industrial Gas Phase Polymerisation Reactor

Structure of the chemical industry

INDUSTRIAL EXPERIENCE WITH HYBRID DISTILLATION PERVAPORATION OR VAPOR PERMEATION APPLICATIONS

Model-based analysis of continuous. crystallization/reaction processes separating. conglomerate forming enantiomers

Integrated PBM-DEM Model Of A Continuous Granulation Process

Population balance modeling in Simulink: PCSS

Applications of Computational Fluid Dynamics in the Process Industries. Ahmad Haidari & Peter Spicka Fluent Inc.

Right. First Time in Fine-Chemical Process Scale-up. Lum(Bert)us A. Hulshof. Avoiding scale-up problems: the key to rapid success

Heterogeneous Azeotropic Distillation Operational Policies and Control

Utilizing Adaptive Focused Acoustics (AFA) Technology to Control Nucleation and Crystal Distribution During API Crystallization

Modelling and Simulation of a Batch Poly(Vinyl Chloride) Reactor

CRYSTALLIZATION AND PRECIPITATION ENGINEERING

Dynamic Process Models

THE VERIFICATION OF THE TAYLOR-EXPANSION MOMENT METHOD IN SOLVING AEROSOL BREAKAGE

ADCHEM International Symposium on Advanced Control of Chemical Processes Gramado, Brazil April 2-5, 2006

PREFACE. Julian C. Smith Peter Harriott. xvii

Unit Operations Lecture June 2010

Chemical Engineering

MOLECULAR SIEVES UOP MOLECULAR SIEVES*

Discrepancy based control of systems of population balances

429 LIGHT DIFFRACTION MEASUREMENT OF PARTICLE SIZE

FDE 211 Material & Energy Balances. Instructor: Dr. Ilgin Paker Yikici Fall 2015

LIQUID/SOLID SEPARATIONS Filtration, Sedimentation, Centrifuges Ron Zevenhoven ÅA Thermal and Flow Engineering

COMPARTMENTAL MODELLING OF AN INDUSTRIAL BUBBLE COLUMN

Simultaneous design and control framework for multi-segment multi-addition plug-flow crystallizer for anti-solvent crystallizations

Integrated Knowledge Based System for Process Synthesis

Basic Aggregates Study Guide

Systems Engineering Spring Group Project #1: Process Flowsheeting Calculations for Acetic Anhydride Plant. Date: 2/25/00 Due: 3/3/00

Implementing Fundamental Pharmaceutical Science and Materials/Engineer Expertise in Scale-up

An Inverse Problem Method for RDC Simulation

Modeling and Optimization of Semi- Interpenetrating Polymer Network (SIPN) Particle Process

Adsorption (Ch 12) - mass transfer to an interface

Monitoring of Batch Industrial Crystallization with Growth, Nucleation, and Agglomeration. Part 1: Modeling with Method of Characteristics

Development of a dynamic process model for the mechanical fluid separation in decanter centrifuges

"Thermodynamic Analysis of Processes for Hydrogen Generation by Decomposition of Water"

The synthesis of tripolyphosphate using a one-stage method and a laboratory rotary kiln

Reactive Crystallization of Calcium Oxalate: Population Balance Modeling

Proper&es of Water. Lesson Overview. Lesson Overview. 2.2 Properties of Water

AN INTRODUCTION TO ASPEN Plus AT CITY COLLEGE

Data requirements for reactor selection. Professor John H Atherton

CFD Simulation of Nanosufur Crystallization Incorporating Population Balance Modeling

Optimal seed recipe design for crystal size distribution control for batch cooling crystallisation processes

Process design decisions and project economics Dr. V. S. Moholkar Department of chemical engineering Indian Institute of Technology, Guwahati

Fluidized Bed Spray Granulation From process understanding to modeling of nucleation and dust integration

Mass Transfer and Separation Processes

POSITION R & D Officer M.Tech. No. of questions (Each question carries 1 mark) 1 Verbal Ability Quantitative Aptitude Test 34

Analytical Solution of Population Balance Equation Involving Growth, Nucleation and Aggregation in Terms of Auxiliary Equation Method

DEPARTMENT OF CHEMICAL ENGINEERING University of Engineering & Technology, Lahore. Mass Transfer Lab

Separation Benzene and Toluene from BTX using Zeolite 13X

Process Design Decisions and Project Economics Prof. Dr. V. S. Moholkar Department of Chemical Engineering Indian Institute of Technology, Guwahati

An Introduction to Pharmaceutical & Chemical Process Technology. Paul Ashall

A Comparative Study of Coupled Preferential Crystallizers for the Efficient Resolution of Conglomerate-Forming Enantiomers

The Hydraulics of Open Channel Flow: An Introduction

Portions of this documat may be illegible in electronic image products. Images are produced frpm the best available original.

Process Classification

From Pharmaceutical Substance to Product An Industrial Perspective on Continuous Processing

THE USE OF SIMULINK FOR PROCESS MODELLING IN THE SUGAR INDUSTRY

IDENTIFICATION OF DEFLUIDIZATION REGION IN A GAS-SOLID FLUIDIZED BED USING A METHOD BASED ON PRESSURE FLUCTUATION MEASUREMENTS

Development of Dynamic Models. Chapter 2. Illustrative Example: A Blending Process

Integrated Liberation Leach

Anticipation of scale up issues in pharmaceutical development

INSTANTANEOUS AEROSOL DYNAMICS IN A TURBULENT FLOW

MODELLING OF THE PRODUCTION OF CHLORINATED POLYETHYLENE

Computational Fluid Dynamics

RATE-BASED MODELING OF TWO COMMERCIAL SCALE H 2 S STRIPPING COLUMNS

Distribution Control of Particulate Systems Based on Population Balance Equation Models

Distributed Parameter Systems

A Zooming Approach to Investigate Heat Transfer in Liquid Rocket Engines with ESPSS Propulsion Simulation Tool

LAB 2 IDENTIFYING MATERIALS FOR MAKING SOILS: ROCK AND PARENT MATERIALS

Urea Injection and Preparation in Diesel Applications Multiphase Multicomponent Modeling using Star-CD

Chemical Plant Design I Basic Concept of Process Design. Dr.Eng. Yulius Deddy Hermawan

Dynamics Of Double Pipe Heat Exchangers: Explicit Time Domain Solutions

Chapter 7 Separation of Particles from a Gas

Recent developments in modelling of industrial dryers Ian C Kemp Process Manual Product Manager, Hyprotech, AEA Technology plc, Harwell, UK

ESTIMATION OF CRYSTAL SIZE DISTRIBUTION OF A BATCH CRYSTALLIZATION PROCESS USING A GROWTH SIZE DEPENDENT MODEL

Process Development & Scale-Up of the AIR Technology

Section-I PHARMACEUTICAL ENGINEERING II PH221. Course Code. Lecture : 3. Practical : 2. Course Credit. Tutorial : 0. Total : 5.

CRYSTAL GROWTH & DESIGN 2009 VOL. 9, NO

University School of Chemical Technology

Heat Transfer Performance in Double-Pass Flat-Plate Heat Exchangers with External Recycle

Block Flow Chart of a Typical Particle Processing System

STUDY OF AGGREGATION IN BARIUM SULPHATE PRECIPITATION

INVESTIGATION OF COALESCENCE KINETICS OF MICROCRISTALLINE CELLULOSE IN FLUIDISED BED SPRAY AGGLOMERATION EXPERIMENTAL STUDIES AND MODELLING APPROACH

Modeling and Parameter Estimation of Interpenetrating

INEOS TECHNOLOGIES EDC OXYCHLORINATION CATALYSTS. Vinyl India Scan to visit Ineos Technologies website. Follow us on:

EDEM-Easy5/ADAMS Co-simulation of Particle-Structure Interaction Dr John Favier DEM Solutions Ltd

Transcription:

Population Balance Modeling JMBC-Particle Technology 2015 Pieter Vonk Advanced Chemical Engineering Solutions March 6 th, 2015

Overview Introduction & Industrial challenges Granulation processes Crystallization processes Population Balance Equation General population balance Nucleation Growth Agglomeration Breakage Solution methods/tools Matrix methods (steady state solution) Moment methods Method of lines Class methods 1

Fertilizer production Urea fluid bed granulation Oscillations Variable production Variable costs 2

Batch crystallization Enantiomer separation 3

Batch crystallization Optimal cooling profile 4

Continuous crystallization Melamine crystallization US 4408046 5

Continuous crystallization Melamine particle Agglomerate of crystals Effect on properties Sensitive to attrition Dust formation Inclusion mother lye Caking possible 6

Industrial challenges Design of plant/operation Estimation of recycles & required equipment Feed rate & cooling profile Size of equipment Troubleshooting/optimization Flexibility in product size production of fines/too small particles Unwanted agglomeration Strong oscillations Energy reduction Debottlenecking Increase capacity 7

Population density Results sieve analysis d sieve q 3 [mm] [%] 0.6 0.19 1 0.91 1.4 2.64 2 9.54 2.36 8.49 2.8 11.95 3.35 15.22 4 15.55 4.75 13.97 5.6 9.32 6.7 6.37 8 3.36 10 2.51 8

Population density From sieve data to number data d sieve q 3 d avg N i N i/n tot = [mm] [%] [mm] [#] [%] 0.6 0.19 0.3 13.33 47.03 1 0.91 0.8 3.38 11.91 1.4 2.64 1.2 2.91 10.28 2 9.54 1.7 3.71 13.08 2.36 8.49 2.18 1.56 5.52 2.8 11.95 2.58 1.33 4.69 3.35 15.22 3.075 1.00 3.53 4 15.55 3.675 0.60 2.11 4.75 13.97 4.375 0.32 1.12 5.6 9.32 5.175 0.13 0.45 6.7 6.37 6.15 0.05 0.18 8 3.36 7.35 0.02 0.06 10 2.51 9 0.01 0.02 9

Population density Particle size distribution d avg N i N i/n tot n i v i [mm] [#] [%] [%/mm] [%/mm] 0.3 13.33 47.03 78.39 0.31 0.8 3.38 11.91 29.79 2.26 1.2 2.91 10.28 25.71 6.59 1.7 3.71 13.08 21.80 15.90 2.18 1.56 5.52 15.33 23.58 2.58 1.33 4.69 10.65 27.15 3.075 1.00 3.53 6.41 27.67 3.675 0.60 2.11 3.25 23.92 4.375 0.32 1.12 1.50 18.63 5.175 0.13 0.45 0.53 10.97 6.15 0.05 0.18 0.17 5.79 7.35 0.02 0.06 0.04 2.58 9 0.01 0.02 0.01 1.25 = lim 10

Population balance Conversation law on particles Similar to mass & heat balance Describes changes of particle ensembles Phenomena to describe Nucleation & Growth Agglomeration Breakage One-dimensional PBE for compartment + = ± / 11

Population balance Solution methods Steady state solutions Matrix approach Analytical solutions Dynamic solutions Moment methods Method of lines Class methods Commercial tools SolidSim/Aspen plus gcrystal/gsolid Experimental verification 12

Matrix approach towards population balance Milling & sieving 13

Milling & sieving Process data recycle granules fines product coarse d sieve Q 3 Q 3 Q 3 Q 3 Q 3 [mm] [%] [%] [%] [%] [%] 0.6 3.19 0.19 0.64 0.00 0.00 1 7.21 1.09 3.67 0.02 0.00 1.4 14.09 3.73 12.27 0.29 0.00 2 31.63 13.27 39.86 4.30 0.00 2.36 44.75 21.76 60.93 10.86 0.02 2.8 59.94 33.70 82.54 26.90 0.17 3.35 74.88 48.92 96.39 57.64 1.80 4 88.18 64.47 99.82 89.69 11.65 4.75 94.51 78.44 100.00 99.95 40.42 5.6 97.54 87.77 100.00 100.00 66.15 6.7 99.10 94.13 100.00 100.00 83.77 8 99.71 97.49 100.00 100.00 93.06 10 100.00 100.00 100.00 100.00 100.00 d 50 2.51 3.40 2.17 3.21 5.07 14

Sieve operation Process sequence feed sieve 1 flow sieve 2 coarse product Sieve/Tromp curve Sieve curve: T = flow/feed fines Mass balance 1 = 1 0 0 0 0 0 1 1 = 1 + 1 15

Sieve operation Sieve performance = 1+ 1 16

Milling operation flowsheet Feed Split Breaker = Product 17

Milling operation Kelsall breaking model = = = 0 0 0 18

granulation Two mechanisms Growth by layering Agglomeration = 1, 19

MSMPR crystallizer Mixed suspension, mixed product removal Continuous system Size independent crystal growth No agglomeration/attrition = 20

Method of moments Moments of distribution = Zeroth moment: number of particles First moment: total length of particles Second moment: total area of particles Third moment: total volume of particles Crystal growth: = = Applied in CFD applications 21

Method of moments & CFD Anti-solvent crystallization Crystal Growth & Design 6 (2006), 1291-1303 22

Discrete Quadrature Method Of Moments Aerosol Science, 36 (2005), 43 73 Discretization of population density with Dirac functions Variable number concentration and particle size 23

Class method for PBE Transformation from partial differential equation to set of ordinary differential equations From density to number concentrations Discretization of size domain 24

Class method for PBE Transformation from partial differential equation to set of ordinary differential equations From density + ± to number concentrations = ± 25

Class method for PBE Incorporation of agglomeration Hounslow et al, AIChE J., 34 (1988), 1821-1832 2 + 1 2 2 26

Class method for PBE Other methods possible Higher order discretization Logarithmic densities Pivot method (variable size grid) Population Balances, D. Ramkrishna, Academic Press, San Diego, USA, ISBN 0-12-576970-9 27

Commercial tools gcrystal 28

References Population Balances, D. Ramkrishna, Academic Press, San Diego, USA, ISBN 0-12-576970-9 Crystallization Process Systems, A.G. Jones, Butterworth- Heinemann, Oxford, UK, ISBN 0-7506-5520-8 A Discretized Population Balance for Nucleation, Growth, and Aggregation, M.J. Hounslow et al, AIChE J, 34 (1988), 1821 1832. 29

Exercise Design vitamin C crystallization plant Specifications for Vitamin C product: Ascorbic acid content > 99 wt-% organic impurities < 0.2 wt-% Particle size distribution Max 20 % < 75 mm, Max 30 % > 150 mm Specification for Vitamin C process: Requested production: 3 kta Feed stream: 20 wt-% ascorbic acid in water 0.1 wt-% KGA present Centrifuge: Cake liquid content: 10 wt-% Cryst. Res. Technol. 43 (2008), 381 389 30