CHEMICAL INDUSTRY OPTIMIZATION - analisis-dsc.com · Bubble columns: effect of the volume of flow...

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CHEMICAL INDUSTRY OPTIMIZATION

Transcript of CHEMICAL INDUSTRY OPTIMIZATION - analisis-dsc.com · Bubble columns: effect of the volume of flow...

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CHEMICAL INDUSTRY

OPTIMIZATION

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CONTENTS

- Who are we?

- Case studies:- Case 01: solid/liquid/gas reactor.

- Case 02: bubble column.

- Case 03: fluidized bed / vitrification.

- Case 04: scrubber.

- Case 05: pollutants dispersion.

- Case 06: acid-base reaction.

- Case 07: polimerization reaction (polythene).

-Contact.

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MISSION

To be the reference in the sectors: Fluid-dynamics and its interactionwith structures.To be specialists in the modeling of Solid Particles.

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Aeronautical Mining

Naval Agriculture

Energy Pharmaceutical

Civil Engineering Others

Chemical

HVAC

Automotive

Enviromental

Turbomachinery

Steel

Defense

Fire Safety

TARGET SECTORS

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Results reflected on:• Costs reduction• Quality improvement• Increasing production• Increasing profits

Design optimizationIndustrial processes optimizationEnergetic Eficiency AnalysisContingency Analysis

(incidents/accidents)Equipment Damage Analysis

WHAT WE OFFER

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• Fluid proprieties:– Liquid, water. – Gas, air bubbles: dp = 3 mm, 1.5 %v.– Solid, Catalytic converter spheres : dp= 3.7 mm, 2200 kg/m3.

• Turbulence:– Liquid: k-epsilon standard model.

• Drag Laws:– Air bubbles: Grace, turbulent dispersion, BIT.– Solid particles: Schiller Naumann, turbulent dispersion.

• Boundary conditions:– Air injector under the mixer.

Case 01

Vessel or reactor in which there are three chemical components in thethree possible states.

Gas/Liquid/Solid flow in mixers

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• Rushton 4 blades turbine.• 4 baffles tank.• Rotational velocity:

– 20 to 100 rev/min.• Tank diametre 2,5 m.• Tank volume 4,9 m3.• Water/ Air / Catalyst.

Geometry:

Gas/Liquid/Solid flow in mixers

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• Air volumetric fraction: (Three different velocities)

Gas/Liquid/Solid flow in mixers

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Gas/Liquid/Solid flow in mixers• Water velocity:

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Bubble columns: effect of the volume of flow injecting

• Objective: simulation to observe and study the relevantphenomena when injected air volume flow is changed.

• Bubble columns: Shaking / Mixing / Chemical reaction.

• Big importance and difussion of the chemical and processindustry.

• University of Salamanca collaboration:

• We published in collaboration an article comparingexperimental and CFD results. “M. Elena Díaz, Alfredo Iranzo, Daniel Cuadra, Rubén Barbero. "CFD Simulation of the Gas-Liquid Flow in a Laboratory Scale Bubble Column. Influence of Bubble Size Distributions and Non Drag Forces". Chemical Engineering Journal(2007). ”

Case 02

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Postprocessed results• Results (Q2= 96 cm3/s):

• Results:

• POP (Plume Oscillation Period)

• Gas Hold-Up (air fraction at the column)

Q[cm^3 s^-1]Hold-Up

CFDHold-Up

Exp Err [%]POP CFD

[s]POP Exp

[s] Err [%]

19 0.0067 0.0069 3.50 10.65 11.38 6.37

96 0.0294 0.0263 -11.79 4.90 4.30 -13.95

170 0.0480 0.0410 -17.11 3.00 2.80 -7.14

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Fluidized bed simulation:

Temperature effect on different sands

Case 03

• Objective: Study the relevant phenomena when the sand ischanged from sand I to sand II.

• Fluidized be in combustion of waste products:

• Right starting up for sand I.

• Vitrification of the sand in the injectors area for sand II.

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Geometry

• Application• Simplifying geometry to 2D

Wall

Simmetry Air injectors at 25 ºC

0,0167 kg/s

H = 0.45 m

• Operating temperature: 800 ºC.

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Postprocessed results

• Results: Fluidization

Colours bar is showingthe volumetric fractionof the sand.

Time evolution of fluidization bed

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ScrubberCase 04

• Objective: Study the relevant phenomena when the liquid injection volume of flow is changed.

• Scrubbers:

• Big importance for the chemical and process industry. Environment.

• Gas treatment: eliminate noxious fumes for the enviroment (SOx from combustion gases and others).

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Geometry

Typical model• Height = 6.5 m

• Diametre = 2 m

• Injectores stage = 2

Gas outlet

Filter (demister)

Liquid inlet

Gas inlet

Liquid outlet (slurry)

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Postprocessed results

• Results (Q1= 0,015 kg/s)

Droplet paths

Volumetric fractions

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Postprocessed results

• Results (Q1= 0,015 kg/s)

Droplet residencetimes

Gas residence time

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Results postprocessed

• Improving design/starting up (Q1= 0,015 kg/s):

• Flow homogeneization baffles:

• Avoid dead zones.

• Avoid preffered ways.

• More number / better distribution of injectors:

• Bigger contact area gas/liquid.

Inlet OutletSO2.mf 0,001 0,00063H2O.mf 0,050 0,056

Temperature [ºC] 800 773

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Conclussions

• Modelling a scrubber using CFD.

• Multiphase (Gas-liquid drops):

• Injectors.

• Filters / demisters.

• Heat and mass transfer:

• Warming and evaporation of water drops.

• SO2 absorption.

• Gas cooling.

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Pollutants dispersion simulation:

• Toxic clouds.

• Risk of explosion evaluation.

Case 05

• Objective: Evaluation of the consequences of an hypothetic leak ofdangerous substances at a chemical industry.

• Pollutants dispersion:

• Big importance for the chemical or processes industry. Enviroment.

• Toxic clouds, risk explosion evaluation, vulnerability analysis.

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Geometry

• Land: 3,6 km x 5,2 km.

Town

Chemical industry (leak)

Wind with velocity profile. 2 m/s at 10 m height.

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Preprocess

• Simulation objectives:

• Evaluate ethane risk of explosion (minimum level toignite).

• Chlorine vulnerability analysis:• Probit (death probability).

• IDLH (Immediately Dangerous to Life or Health).

• TLV-STEL (Threshold Limit Value-Short Term ExposureLevel).

• Evaluate the starting up of the emergency plans:• EAEC (Emergency Airborne Exposure Concentration

Levels, EPA).

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Results

• Results: ethane risk of explosion

• Inferior limit to ignite = 0,0375 [kg m^-3]

Risk of explosion if the cloud

finds the ignition source

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Results

• Results:

Chlorine TLV-STELChlorine IDLH

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Results

• Results: Vulnerability: death probability (PROBIT method)

Exposition time = 15 min.

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Mixing and chemical reaction processes

Case 06

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Introduction• Acid/base chemical reaction in a system:

Exit

Inlet 1, 371 kg/s, 285 K50 % base, 50 % water

Inlet 2, 317 kg/s, 315 K22 % acid, 78 % water

• Physical-chemical phenomena:

• Mix of two multicomponent flows.

• Turbulence.

• Chemical reaction: H2SO4 + 2 NaOH Na2SO4 + 2 H2O.

• Exotermal reaction: 460 kJ/kg.

• Heat transfer.

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Results

• pH

pH outlet = 7.3

Average pH = 11.3

• Reaction Rate

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Polythene polymerization reactors (PET)

Case 07

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INTRODUCTION

• Low density Polythene Reactors (LDPE):

• Reactor de Mezcla en Continuo (CSTR).

• Tubulars.

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INTRODUCTION• Polymerization reactions:

• Momentum model [1]

I: initiator

A: initiator´s radical

M: monomer

Rx: radical with arbitrary length

R: total radical = sum (Rx)

P: product

• It is included variables to represent thedistribution of the mollecular weight ofproducts.

• Viscosity of the medium as a temperature function and theconcentration de las especies

Kiparissides, C., et al., “Dynamical Simulation of Industrial Poly(vinyl chloride) Batch Suspension Polymerization Reactors,” Ind. Eng. Chem. Res., 36 (4), p. 1253 (1997).

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INTRODUCTION

• Typical results (250 rpm, tank without baffle)

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ANOTHER CASE STUDIES

• Analysis of the interaction between fluid dynamics and chemical reaction.

• Mixing processes optimization with differentphases: gas, liquid and solid (particles).

• Risk analysis for pollutants dispersion, toxiccloud, etc.

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ANALISIS-DSC reduces the production costs in your companydue to an optimized design of the processes reducing thenumber of prototypes and redesigns.

ANALISIS-DSC helps the Commercial Department as a marketing tool showing your product in a more attractivemanner. It also helps to share the information among severaldepartments.

ANALISIS-DSC helps prevent and analyzed accidentes in yourfacilities with the help of technical reports or engineeringprojects.

ANALISIS-DSC increases the benefits of your company due tothe increment of efficiency in your productive processes usingour know-how..

SUMMARY

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CONTACT

www.analisis-dsc.com, click on the top right part forthe English version.

[email protected]

+34 914614071 or +34 914284802

ANALISIS-DSCC/ Nuestra Señora de la Luz, 21 local Izq. 28025 Madrid (SPAIN)

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