mold growth prediction by computational simulation · mold growth prediction by computational...
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![Page 1: Mold Growth Prediction by Computational Simulation · Mold Growth Prediction by Computational Simulation. Problems caused by mould fungi. Mould growth on inner surfaces Problems-health](https://reader035.vdocuments.site/reader035/viewer/2022071217/604b9a2dbfc07950a64c5058/html5/thumbnails/1.jpg)
M. Krus, K. Sedlbauer
Mold Growth Prediction byComputational Simulation
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Problems caused by mould fungi
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Mould growth on inner surfaces
Problems- health risks- financial risks (in Germany 200 Mio € / p. year)
Aims- Planning tool for prevention of mould growth
- Consideration of transient boundary conditions
additional Requirements- Consideration of all fungal species found on building surfaces
- Consideration of different substrate classes
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Methodicals
requirements for growth ofmold fungi
temperature, humidity,substrate, time
unsteady hygrothermalconditions of building
environment
comparison by using new models
prediction of moldgrowth
Isopleths modelBiohygrothermal
Model
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Isopleth systems
Aspergillus restrictus (Smith)
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Development of the Lowest Isopleth for Mould (LIM)
Lowest Isopleth for MouldDifferent Species
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Development of the Lowest Isopleth for Mold (LIM)R
ela
tive h
um
idit
y [
%]
70
75
80
85
90
95
100 Lowest Isopleth for MoldDifferent species
00 55 1010 1515 2020 2525 3030
Temperature [°C]Temperature [°C]
Germination Mycelial growth
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Test station for mould fungi
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LIMs for different building products
Substrate Groups
II biological adverserecycable materials
I biological recycablematerials
0 optimum cultures medium
Temperature [°C]
Rela
tive h
um
idit
y [
%]
100
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Isopleth systems for different building products
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Isopleth system for the critical fungus species
Critical fungus species:
Aspergillus fumigatus
Aspergillus flavus
Stachybotrys chartarum
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Humidity in Rooms
500 - 1500
(min. 12 liters/day)Total flat (100 m²)
30Person, light activity
5 - 20Rubber plant
2 - 10Violets
Flowers
Delivery of humidityper hour [g/h]
Source of humidity
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Ventilation by Windows?
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Surface temperature on outer walls
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Use of the Isopleth System
0
1
23
4
5
6
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Germination and mycelial growth
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REM-Picture of Mould Spores
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Biohygrothermal Model
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Hygrothermal "material properties" of the model spore
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Hygrothermal "material properties" of the model sporeR
ela
tive
hu
mid
ity
[%
]
0 5 10 15 20 25 30
Temperature [°C]
70
75
80
85
90
95
100
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Example: new buildings with mould on outer surfaces
Mold in all 4 orientations
broad infestationsat the lintels
circular infestations
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Example: new buildings with mould on outer surfaces
Concrete
Mineral wool
Polystyrol
Plaster(synth. Resin)
Air gap
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Example: new buildings with mould on outer surfaces
Monat
rela
tive L
uftfe
uchte
im
Auß
enpu
tz [%
]
60
65
70
75
80
85
90
95
100
Monat
rela
tive L
uftfe
uchte
im
Auß
enpu
tz [%
]
60
65
70
75
80
85
90
95
100
ungestörter Bereichbeim Luftspaltbeim Fenstersturz
X XI XII I II III IV V VI VII VIII IX
normal wallnear air gaplintelR
el. H
um
idity
of th
epla
ste
r[%
]
Month
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Example: new buildings with mould on outer surfaces
normal wallnear air gaplintel
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Summary
model for prediction of mold growth- Isopleths model
- biohygrothermal system
innovations- health risk classes- substrate groups- unsteady implementation
validation good agreement- with experiences- with laboratory experiments
- with test field results
general characteristics- usable as design tool for practitioners- preventive aspects
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Field test area in Holzkirchen, Germany