AWAST Kick-off meeting - Orléans, February 12-13, 2001

Workpackage WP7

Model integration Simulator development and Validation

Integration of the models for matter, economics and energetic, and conception of a simulator structure.

Model code development for each channel.

Consolidation between channels.

Working test on both available and theoretical data.

AWAST Kick-off meeting - Orléans, February 12-13, 2001

Summary

Different types of models for different objectives

Non predictive

Predictive

Models and Simulation

The environment of simulation

Integration of models

AWAST Kick-off meeting - Orléans, February 12-13, 2001

RealityReality

ObservationObservation

Physics and chemistryPhysics and chemistry

Methods and algorithmsMethods and algorithms

UseUse

Modelling and Reality

AWAST Kick-off meeting - Orléans, February 12-13, 2001

The use for Design

Laboratory tests for treatment process evaluation Ideas of flowsheet for preliminary sizing

Pilot-scale or real-size testsConfirmation of performances, treatment of incoherent

data, equipment sizing, investment costs Engineering

Detailed mass balance and final sizing for management of specifications and validation

AWAST Kick-off meeting - Orléans, February 12-13, 2001

The use for Optimization

System surveyMaterial balance: sampling, coherent mass balance,

performances of unit operations Optimization

Real scale tests are very expensive: prediction with simulation Adaptation

New constraints (market, techniques, legislation): prediction with simulation

AWAST Kick-off meeting - Orléans, February 12-13, 2001

Steady state simulation

Unit operationMODEL

Unit operationMODEL

Physical propertiesPhysical properties

ParametersParameters

Input

Flowrates Sizes, Categories, Metalsetc..

Input

Flowrates Sizes, Categories, Metalsetc..

Output (s)Output (s)

Steady-statesimulator

Steady-statesimulator

Plant operation

Plant capital cost

Plant operation

Plant capital cost

Feed stream description

Equipment configuration

Feed stream description

Equipment configuration

AWAST Kick-off meeting - Orléans, February 12-13, 2001

Example of simulator Simulator of a composting plant using data from

MODECOM : 13 categories, 5 size classes

Ordures ménagères

Pertes

4 mois 3 mois 2 mois Compost 1 mois

Pluie

Légers

Lourds

FinesPertes

Balles

Pertes

Balayure

Balles

Ferraille

Balistiques

Refus dilacérateur

1

2

3 4

5

6 7 8

9

10

1112131415

12

3

4

56

7

89

10

11

12

13

14

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16

17

1819

20

2122

23

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Ordures ménagères

Pertes

4 mois 3 mois 2 mois Compost 1 mois

Pluie

Légers

Lourds

FinesPertes

Balles

Pertes

Balayure

Balles

Ferraille

Balistiques

Refus dilacérateur

1

2

3 4

5

6 7 8

9

10

1112131415

12

3

4

56

7

89

10

11

12

13

14

15

16

17

1819

20

2122

23

24

25

26

27

28

29

30

31

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AWAST Kick-off meeting - Orléans, February 12-13, 2001

In the heart of a simulator To represent the operation of each ’node’, several models can be used,

Level 0:Percentage

passing per category

Level 0:Percentage

passing per category

Level 3:Size, operating

conditions,Data from real

operation,Physical properties

Level 3:Size, operating

conditions,Data from real

operation,Physical properties

Level 2:Size, operating

conditions,Data from real

operation

Level 2:Size, operating

conditions,Data from real

operation

Level 1:Size, operating

conditions,Few or No Physical

property

Level 1:Size, operating

conditions,Few or No Physical

propertyProportion ofeach category

in the feedSize/shape of particles in

each category

…+ sampling,

survey

…+ sampling,

survey+ lab

characterisation

AWAST Kick-off meeting - Orléans, February 12-13, 2001

Rv

1-Rv

Rg

1-Rg

Separation equipment

Simple model: performance

AWAST Kick-off meeting - Orléans, February 12-13, 2001

RvRv

RgRg

Separation equipment

0

0.5

1

0 2 4 6 8

= Residence time

Predictive Model

AWAST Kick-off meeting - Orléans, February 12-13, 2001

Levels of models

Predictivity

Cost

AWAST Kick-off meeting - Orléans, February 12-13, 2001

Modeling and simulation

Modeling

The whole environmentof simulation

AWAST Kick-off meeting - Orléans, February 12-13, 2001

Simulation environment

Raw Experimental Data

Material Complexity

Technical orEconomic Objectives Equipment

MaterialBalances Phase Models

MathematicalModels

Algorithms, Methods andInterface

AWAST Kick-off meeting - Orléans, February 12-13, 2001

Simulation methods

USER ’S GUIDE

Simulator build-up

0.00

10.00

20.00

30.00

40.00

50.00

60.00

70.00

80.00

Te

ne

urs

MONS(en %)

Films > 5 mmx10

(en %)

Lourds > 5mm

(en %)

Inertes tot.(en %)

Hg(mg/kg sec)

Cd(mg/kg sec)

Ni(mg/kg sec)

Pb /10(mg/kg sec)

Cr/10(mg/kg sec)

Cu/10(mg/kg sec)

Zn/10(mg/kg sec)

OM Brutes - Qualité du compost (1 Double Tapis sélectionneur)

Crible 55%

Crible 62%

Crible 76%

NF Qualité A

CERAFEL

200 ?Simulation statique

DimensionnerOptimiser

11

2233

44

Data analysis Material balance

Data reconciliation

Case studySimulations

In situ data acquisitionSampling

AWAST Kick-off meeting - Orléans, February 12-13, 2001

Categories

SizeClasses

Defining the matter

Loss on ignition

Inerts

Chemistry

AWAST Kick-off meeting - Orléans, February 12-13, 2001

 Practical matter definition

Use available datanecessary and sufficient for models use

Seek coherent description for all streamsmatter conservation from waste to products

Seek conversions between analytical techniques

Modecom Inerts

Loss on ignition

AWAST Kick-off meeting - Orléans, February 12-13, 2001

Models integration Seek consistency between phase models for the

different treatment ways

The structure of the simulator has to cope with the matter characteristics necessary for models the matter characteristics which are not used in the models

The interface must bring the models to lifeask the good questions in a language adaptedand give easy to use results

…a bit of litterature