10931 Van Schijndel Presentation

8/20/2019 10931 Van Schijndel Presentation

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Computational Building Physics

using COMSOL

Research, Education & Practice

dr.ir. Jos van Schijndel


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PAGE 110-11-2011

User since 1998(?)


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PAGE 210-11-2011

Contents

• 1.Introduction• Complexity and scale levels

• My computational laboratory

• 2.Combined heat, moisture, air, stress models for(building) constructions

• 3.From Material [~mm] to EU [~Mm] scale level

• 4.Conclusions


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PAGE 310-11-2011

• What is a ‘Complex system’?

• Where are Complex systems in the builtenvironment?

1. IntroductionComplexity and Scale levels


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PAGE 410-11-2011

• The whole is greater than the sum of the individual parts

IntroductionComplexity and Scale levels


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PAGE 510-11-2011

• Butterfly effect: Small parameter variations may producelarge variations in the long term behavior of the system.



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• Where are the dynamic complex systems at thebuilt environment ?

Everywhere and on several scales



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Material ~ mm Present dynamic complex systems:

Material Physics

•Durability



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Building ~ 10 m Present dynamic complex systems:

Building Physics

•Indoor climate•Building systems



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Urban Area ~ km Present dynamic complex systems:

Urban Physics

•Urban Climate•Urban district systems



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PAGE 1010-11-2011

EU ~ 1 Mm Present dynamic complex systems:

Global climate Physics

• (Future) Climate• Mapping



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PAGE 1110-11-2011

Multi Buildings‘HAMBase’

MatLab

Multi DetailsPDE

Comsol

Multi Systems & ControlODE

SimuLink

IntroductionMy computational laboratory


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PAGE 1210-11-2011

Tools Buildings modeling physics: HAMBasescientific software: MatLab

Anne Frank House

Simulation and validation


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PAGE 1310-11-2011

Tools Detail modeling physics: PDEsscientific software: Comsol

3D Moisture

Hunting Logde St. Hubertus


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PAGE 1410-11-2011

Tools Systems&Control modeling physics: ODEsscientific software: SimuLink

Dutch Maritime Museum

Building systems failure modeling


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PAGE 1510-11-2011

http://archbps1.campus.tue.nl/bpswiki/index.php/Hamlab

IntroductionMy computational laboratory


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PAGE 1610-11-2011

Computational Building PhysicsResearch Matrix

Topic

Scale

Heat Moisture Air Stress

~ mm

~ m

~ km

~ Mm


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PAGE 1710-11-2011

Computational Building PhysicsHeat

Topic

Scale


~ mm

~ m

~ km

~ Mm


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PAGE 1810-11-2011

Application 1: Heat 3D


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PAGE 1910-11-2011

Computational Building PhysicsHeat+Moisture

Topic

Scale


~ mm

~ m

~ km

~ Mm


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PAGE 2010-11-2011

Application 2: Heat and moisture transportPDEs

)(

)(

2221

1211

LPcK T K t

LPcC

LPcK T K t

T C

LPc

T

,

,

,

)log(

21

22

12

11

10

T

PsatK

RT

M Psat

LPc

Pc

LPc

PcK K

LPc

Pc

Pc

w

C

RT

M Psat

LPc

PclK

K

cC

PcLPc

p

a

w p

LPc

a

w plv

T

• Potential T, LPc

• PDE coefficients formulation

• Material properties

• function of T, LPc


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PAGE 2110-11-2011

Calculating PDE coefficientsusing material properties, method 1/2

)(

)(

2221

1211

LPcK T K t

LPcC

LPcK T K t

T C

LPc

T

• PDE coefficients lookup

tables calculated in MatLab

using:

• heat conduction

coefficients

• specific heat

• density

• liquid permeability

• moisture retention curve

• vapour permeability


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PAGE 2210-11-2011

)(

)(

2221

1211

LPcK T K t

LPcC

LPcK T K t

T C

LPc

T

Calculating PDE coefficients

using material properties, result 2/2


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PAGE 2310-11-2011

VerificationHAMSTAD Benchmark no 1

)(

)()(

p p g

p plT T hq

i

ilvii

0

)(

g

T T hq ee


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PAGE 2410-11-2011

VerificationHeat & Moisture


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PAGE 2510-11-2011

VerificationMoisture

LPc based model RH based model

Thanks to: Natalie Williams Portal (visit today, 4:00-5:30, Silchersaal)


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PAGE 2610-11-2011

Computational Building PhysicsHeat+Moisture+Air

Topic

Scale


~ mm

~ m

~ km

~ Mm


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PAGE 2710-11-2011

Application 3 HAM modelingInfluence of micro air movement

Inside

Outside

a b


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PAGE 2810-11-2011

HAM modelingPhysics

0)(:

;0)(:

0)(:

vvv

p p

p p Dt

poisture

P K P K t

P Air

T C T t

T C Heat

u

u

u

0)(:);()(::

0:;::

0)(:);()(::

inf

0

inf

vvvv pDInsulation p p pDFlux

PK InsulationPPPressure

T InsulationT T hT Flux

nnMoisture

nAir

nnHeat

PDEs

Boundary values


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PAGE 2910-11-2011

HAM modelingSimulation of Relative Humidity

Air velocity

= 0

Air velocity

+10 μm /s

Air velocity

-10 μm /s


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PAGE 3010-11-2011

HAM modelingInfluence of micro air movement

a b

Summary

A (so far immeasurable) low air movement of order 10-5

m/s seems to have significant impact on the RH


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PAGE 3110-11-2011

Computational Building PhysicsHeat+Moisture+Air+Stress

Topic

Scale


~ mm

~ m

~ km

~ Mm


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PAGE 3210-11-2011Thanks to: Zara Huijbregts (visit today, 4:00-5:30, Silchersaal)

Application 4 HAMS modelingIncluding stress and strain


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PAGE 3410-11-2011


Thanks to: Zara Huijbregts (visit today, 4:00-5:30, Silchersaal)


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C i l B ildi Ph i


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PAGE 3610-11-2011

Computational Building PhysicsHeat, including Building Scale

Topic

Scale


~ mm

~ m

~ km

~ Mm

A li i 5


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PAGE 3710-11-2011

Application 5

Heat, including Building Scale

C t ti l B ildi Ph i


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PAGE 3810-11-2011

Computational Building PhysicsHeat, including Urban Scale

Topic

Scale


~ mm

~ m

~ km

~ Mm

A li ti 6


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Application 6

Wind & driving rain at Urban Scale

A li ti 7


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PAGE 4010-11-2011

• ..

Thanks to: David van Reenen

Application 7

Ground energy at Urban Scale

A li ti 7


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PAGE 4110-11-2011Thanks to: David van Reenen

Application 7


A li ti 7


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PAGE 4210-11-2011Thanks to: David van Reenen

Application 7


C t ti l B ildi Ph i


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PAGE 4310-11-2011

Computational Building PhysicsHeat, including EU Scale

Topic

Scale


~ mm

~ m

~ km

~ Mm

A li ti 8


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PAGE 4410-11-2011

• Weather Stations

• Used as boundary

values for the external

climate

Application 8

Incorporate EU Scale

Application 8


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PAGE 4510-11-2011

• Subject buildingconstructions to

external climates

• Map performances

Application 8

Incorporate EU Scale

Conclusion


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Conclusion

• COMSOL is a state-of-art Multiphysics modeling tool for doingresearch in the area of building physics

• High performance on

• 1,2 & 3D capabilities

• Grid & solvers techniques

• Visualization• Flexibility due to PDE abstraction level

• Also an excellent tool for education

• Our models are available at http://sts.bwk.tue.nl/hamlab/

http://sts.bwk.tue.nl/hamlab/http://sts.bwk.tue.nl/hamlab/


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• Thank you

• Questions?
http://sites.google.com/site/josvanschijndelresearch/home/CV2A4v3_ENG.pdf?attredirects=0

10931 Van Schijndel Presentation

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