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Capacities and limitations of wind tunnel physical experiments on motion and dispersion of different density gas pollutants

Abstract

The article focuses on the analysis of the possibilities to model motion and dispersion of plumes of different density gas pollutants in low-speed wind tunnels based on the application of physical similarity criteria, in this case the Froude number. The analysis of the physical nature of the modeled process by the Froude number is focused on the influence of air flow velocity, gas pollutant density and model scale. This gives an idea of limitations for this type of physical experiments in relation to the modeled real phenomena. The resulting statements and logical links are exemplified by a CFD numerical simulation of a given task calculated in ANSYS Fluent software.

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Capacities and limitations of wind tunnel physical experiments on motion and dispersion of different density gas pollutants

Author: Zavila, Ondřej
Publisher: De Gruyter
Year: 2017
DOI: 10.1515/msr-2017-0007
Source: https://dspace.vsb.cz/bitstreams/ac2362ab-2ee6-4d4f-93b1-1b314f6fb664/download
MEASUREMENT SCIENCE REVIEW, 17, (2017), No. 2, 53-60
_________________
DOI: 10.1515/ms -2017-0007
53
Capaci ies and Limi a ions o Wind Tunnel Physical
Expe imen s on Mo ion and Dispe sion o Di e en Densi y
Gas Pollu an s
Ondřej Za ila
1
, Tomáš Blejchař
2
1
Depa men o Fi e P o ec ion, Facul y o Sa e y Enginee ing, VŠB - Technical Uni e si y o Os a a, Lumí o a 13/630,
Os a a - Výško ice, 700 30, Czech Republic, ond ej.za ila@ sb.cz
2
Depa men o Hyd odynamics and Hyd aulic Equipmen , Facul y o Mechanical Enginee ing, VŠB - Technical Uni e si y
o Os a a, 17. lis opadu 15, Os a a – Po uba, 708 33, Czech Republic
The a icle ocuses on he analysis o he possibili ies o model mo ion and dispe sion o plumes o di e en densi y gas pollu an s in low-
speed wind unnels based on he applica ion o physical simila i y c i e ia, in his case he F oude numbe . The analysis o he physical
na u e o he modeled p ocess by he F oude numbe is ocused on he in luence o ai low eloci y, gas pollu an densi y and model scale.
This gi es an idea o limi a ions o his ype o physical expe imen s in ela ion o he modeled eal phenomena. The esul ing s a emen s
and logical links a e exempli ied by a CFD nume ical simula ion o a gi en ask calcula ed in ANSYS Fluen so wa e.
Keywo ds: Physical simila i y, ae odynamic unnel, F oude numbe , CFD, gas pollu an .
1.
I
NTRODUCTION
Ai pollu ion is becoming an inc easingly se ious global
issue. Fac o ies p oduce la ge amoun s o pollu an s ha
damage he en i onmen and ha m human heal h. F om his
poin o iew, p oblems o mo ion and dispe sion o
pollu an s in he a mosphe e ela e no only o
en i onmen al s udies bu also o o he disciplines, such as
sa e y enginee ing.
An unde s anding o he physical p inciples o pollu an s’
mo ion and dispe sion is impo an in o de o de e mine he
impac o ai pollu ion on he en i onmen and humans. This
s udy only deals wi h he physical p inciples o pollu an s’
mo ion and dispe sion. Possible chemical eac ions in he
a mosphe e a e no co e ed.
Fo he pu pose o he s udy, a simple model o a ypical
eal si ua ion was de ined. Physical pa ame e s o he model
we e g adually modi ied o achie e isible changes in
esul s so ha gene al p inciples could be de ined. The
abo e-men ioned demons a ion model ep esen s a chimney
si ua ed in a simple la e ain. Gas pollu an is discha ged
om he chimney and ca ied by lowing ai . Gas pollu an
plume is de ec ed and isualized wi h a nume ical model as
iso-su aces o con ou s o pollu an concen a ions in wo-
dimensional cu planes o h ee-dimensional geome y.
The dependence o he pollu an plume shape, size and
inclina ion on modi ica ion o h ee physical pa ame e s was
in es iga ed. The selec ed pa ame e s included pollu an
densi y, ai low eloci y and model scale.
The esul s a e p esen ed in he o m o ex and
commen ed igu es. ANSYS Fluen 15.0 CFD
(Compu a ional Fluid Dynamics) code was used o
demons a e and isualize all p oblem a ian s (see [1], [2]).
The nume ical model o he pollu an plume mo ion c ea ed
in his so wa e was e i ied by an expe imen conduc ed in
he low-speed wind unnel in he Ae odynamic Labo a o y
o he Academy o Sciences o he Czech Republic in No y
Knin (see [3], [4], [5]). The maximum di e ence be ween
expe imen da a and nume ical simula ion da a se s was one
o de ( o mo e de ails see [6]). One o he aims o he s udy
is also o demons a e ha physical modeling o pollu an
plume mo ion and dispe sion wi h se e ely downscaled
models has i s limi a ions ha should be known and
conside ed o a oid ob aining alse esul s.
2.
S
UBJECT
&
METHODS
A. Physical simila i y
Two phenomena can be conside ed o be simila (despi e
di e en geome ical scales) i h ee ypes o simila i y
ma ch: geome ic, kinema ic, and dynamic. C i e ia o
geome ic simila i y equi e ha he a ios o main
co esponding dimensions on he model and he o iginal
pa e n be cons an . Also, main co esponding angles on he
o iginal pa e n and he model mus be o he same alue.
C i e ia o kinema ic simila i y equi e ha he a ios o
eloci ies a co esponding poin s be he same o bo h he
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o iginal pa e n and he model. C i e ia o dynamic
simila i y equi e ha he a ios o he main o ces a
co esponding poin s be he same o bo h he o iginal
pa e n and he model.
Fo ces can be di ided in o wo g oups: a eal o ces and
olume (weigh ) o ces. A eal o ces include ic ion o ces,
comp ession o ces, and capilla y (su ace) o ces. Volume
(weigh ) o ces include ine ial o ces, g a i y o ces, and
impulse o ces ( esul ing om he change in momen um).
Acco ding o he ype o phenomena, hese o ces can be pu
in o ma hema ical ela ion and c i e ia (numbe s) o
simila i y can be es ablished. In luid mechanics, he
Reynolds numbe , Eule numbe , New on numbe , F oude
numbe , Webe numbe , and Mach numbe a e he mos
widely known c i e ia. Each o hem exp esses a io be ween
wo di e en o ces. In p ac ice, i is no possible o achie e
co espondence be ween he o iginal pa e n and he model
in all c i e ia. The e o e, i is always up o he in es iga o s
who mus use hei knowledge and expe ience o choose he
igh and mos impo an c i e ion (o c i e ia) o he
in es iga ed phenomenon. As a esul , in es iga o s usually
wo k wi h one o wo dominan c i e ia o simila i y [7], [8],
[9].
B. F oude numbe
The F oude numbe exp esses he a io be ween g a i y
o ces and ine ial o ces. G a i y o ces cause e ical
mo emen s o he plume (climbing o descending) and
ine ial o ces cause ho izon al mo emen s o he plume.
The F oude numbe can be he e o e conside ed as a
c i e ion o dynamic simila i y, which should be o he same
alue o bo h he scaled model and he eal pa e n (see [7],
[8], [9]).
The F oude numbe can be de ined as
=
⋅⋅
⋅⋅
=≈
−
−
Vg
S
F
F
F
anpollu
ai ai
anpolluG
ai I
ρ
ρ
2
1
2
321
2
32
lg
lllg
ll
anpollu
ai ai
anpollu
ai ai
⋅⋅
⋅
=
⋅⋅⋅⋅
⋅⋅⋅
=
ρ
ρ
ρ
ρ
(1)
whe e
ai I
F
−
is he ine ial o ce due o he ai ac ing on
pollu an elemen [N],
anpolluG
F
−
is he g a i y o ce
ac ing on pollu an elemen [N],
ai
ρ
is he ai densi y
[kg/m
3
],
anpollu
ρ
is he pollu an densi y [kg/m
3
], S is
he su ace o pollu an elemen ac ed on by he lowing ai
[m
2
],
ai
is he ai low eloci y [m/s],
g
is he g a i y
accele a ion cons an [m/s
2
], V is he olume o pollu an
elemen eleased om he pollu an sou ce pe 1 second
[m
3
],
1
l is he 1
s
cha ac e is ic dimension o he pollu an
sou ce (leng h o pollu an cubic elemen ) [m],
2
l is he 2
nd
cha ac e is ic dimension o he pollu an sou ce (wid h o
pollu an cubic elemen ) [m] and
3
l is he 3
d
cha ac e is ic
dimension o he pollu an sou ce (heigh o pollu an cubic
elemen ) [m].
3
l can be eplaced by
anpollu
ha
ep esen s he eloci y o he pollu an eleased om he
sou ce in e ical di ec ion [m/s].
F
is a dimensionless
cons an [-] whose alue de e mines whe he he ine ial
o ce o he g a i y o ce will domina e in he speci ic
pollu an plume mo ion scena io.
Impo an cha ac e is ics a e illus a ed in Fig.1. Pollu an
elemen was simpli ied in o a ec angula cuboid wi h
dimensions o
1
l,
2
l and
3
l o make p ac ical calcula ions
easie . O cou se, he spou o a eal chimney can be o a
di e en shape, mos commonly ci cula o ellip ical. In his
case, i is ad isable o calcula e he su ace o he spou and
ans o m he shape in o a squa e o a ec angle wi h
dimensions o
1
l and
2
l. The alue o
3
l emains he same
(despi e he shape o he spou ) and is eplaced by he
eloci y wi h which he pollu an lea es he sou ce in
e ical di ec ion
anpollu
.
Fig.1. Ai low ac ion on gas pollu an elemen leaking om he
nozzle (chimney).
I
F
< 1, g a i y o ces a e assumed g ea e han ine ial
o ces. Hence, e ical mo ions (climbing o descending) o
he gas pollu an plume can be expec ed due o di e en
densi ies o he pollu an and he ai . Plumes o ligh gas
pollu an s will end o climb, whe eas plumes o hea y gas
pollu an s will end o descend.
I
F
= 1, g a i y o ces a e assumed equal o ine ial
o ces. Hence, gas pollu an plumes a e ca ied by lowing
ai along wi h mani es ing pa ial e ical mo ions.
I
F
> 1, ine ial o ces a e assumed g ea e han g a i y
o ces. Hence, e ical mo ions o he gas pollu an plume
a e limi ed o nonexis en . The gas pollu an plume is
ca ied by s ong lowing ai , ega dless o he pollu an - ai
densi y di e ence o weigh o he pollu an .
This hi d scena io causes common di icul ies when
planning gas pollu an plume mo ion and dispe sion
expe imen s wi h downscaled models in low-speed wind
unnels. A small dimensions o measu ing sec ions o
common wind unnels and, hus, low scales o models, he
ai low may be oo g ea o allow e ical mo ions o gas
pollu an plumes. P ope condi ions o en canno be assu ed
in such cases.
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C. Calcula ion o ai low eloci y o ine ial and g a i y
o ces main ained in balance (
F
= 1)
Acco ding o (1), he ai low eloci y
ai
in luences he
ine ial o ce
ai I
F
−
ha causes gas pollu an ho izon al
mo ion. I all he o he physical cha ac e is ics a e cons an ,
he ollowing p inciples can be o mula ed: The g ea e is
he ai low eloci y
ai
, he g ea e is he ine ial o ce
ai I
F
−
. The g ea e is he ine ial o ce, he mo e limi ed a e
he pollu an plume e ical mo ions (climbing o
descending).
The ai low eloci y
1=F ,ai
o
F
= 1 (i.e., ine ial
and g a i y o ces a e equal) can be deduced om (1):
=
⋅⋅
⋅⋅
==
=
−
−
Vg
S
F
F
anpollu
F ,ai ai
anpolluG
ai I
ρ
ρ
2
1
1
1
2
1
321
2
132
lg
lllg
ll
anpollu
F ,ai ai
anpollu
F ,ai ai
⋅⋅
⋅
=
⋅⋅⋅⋅
⋅⋅⋅
=
==
ρ
ρ
ρ
ρ
(2)
Thus, he ai low eloci y
1=F ,ai
is
=
⋅⋅
=
=
ai
anpollu
F ,ai
lg
ρ
ρ
1
1
S
Vg
ll
lllg
ai
anpollu
ai
anpollu
⋅
⋅⋅
=
⋅⋅
⋅⋅⋅⋅
=
ρ
ρ
ρ
ρ
32
321
(3)
Howe e , one mus ealize ha he change in ai low
eloci y in luences also ai low ield u bulen
cha ac e is ics. Fo example, u bulen in ensi y is
in luenced when he ai lows a ound solid objec s o in a
complex e ain. In es iga o s mus conside whe he hese
changes ha e a se ious impac on accu acy o he
expe imen o ma hema ical model. This is e y impo an
o modeling gas pollu an mo ion and dispe sion in a
complex geome y (complex e ain) whe e he eal model
o u bulen low ield is he key elemen o he simula ion.
I he ai u bulen low ield is se iously in luenced by he
change in he ai low eloci y, he esul s o he analysis
can be misleading. This app oach is he e o e no sui able
o such cases and a di e en pa ame e o he model mus
be changed.
D. Calcula ion o pollu an densi y o ine ial and g a i y
o ces main ained in balance (
F
= 1)
Acco ding o (1), he pollu an densi y
anpollu
ρ
in luences he g a i y o ce
anpolluG
F
−
ha causes gas
pollu an e ical mo ions (climbing o descending). I all
he o he physical cha ac e is ics a e cons an , he ollowing
p inciples can be o mula ed: I he pollu an densi y
anpollu
ρ
is g ea e han he ai densi y
ai
ρ
, he pollu an
ends o descend (i.e., he gas pollu an plume descends). I
he pollu an densi y
anpollu
ρ
is lowe han he ai densi y
ai
ρ
, he pollu an ends o climb (i.e., he gas pollu an
plume climbs). The g ea e a e he g a i y o ces
anpolluG
F
−
, he mo e signi ican a e he gas pollu an
plume e ical mo emen s (climbing o descending).
The pollu an densi y
1=F , anpollu
ρ
o
F
= 1 (i.e.,
ine ial and g a i y o ces a e equal) can be deduced om
(1):
=
⋅⋅
⋅⋅
==
=−
−
Vg
S
F
F
F , anpollu
ai ai
anpolluG
ai I
1
2
1
ρ
ρ
11
2
3211
2
32
lg
lllg
ll
F , anpollu
ai ai
F , anpollu
ai ai
⋅⋅
⋅
=
⋅⋅⋅⋅
⋅⋅⋅
=
==
ρ
ρ
ρ
ρ
(4)
Thus, he pollu an densi y
1=F , anpollu
ρ
is
=
⋅⋅⋅
⋅⋅⋅
=
⋅
⋅
=
=
321
32
2
1
2
1
lllg
ll
lg
ai ai ai ai
F , anpollu
ρρ
ρ
Vg
S
ai ai
⋅
⋅⋅
=
2
ρ
(5)
A change in pollu an densi y in o de o achie e he
op imum a io be ween ine ial and g a i y o ces would be
o en he ideal solu ion. Howe e , he e is a p oblem. The
densi ies o pollu an s ange wi hin a na ow in e al -
app oxima ely o one o de o magni ude - which is usually
no enough o compensa e he F oude numbe di e ences
esul ing om, e.g., a subs an ial change o he model scale.
A ypical example can be he physical modeling o gas
pollu an plumes in low-speed wind unnels whe e he scale
o he model is a ound 1:1000. In such a case, he e is a need
o change he pollu an densi y 100, o e en 1000 imes,
which is impossible. This is why change in pollu an densi y
can be used o achie e only a small change in he F oude
numbe . These small changes, howe e , may no be
su icien o a success ul execu ion o he expe imen o
nume ical modeling.
The change o he lowing gas densi y could be an
al e na i e solu ion. Fo example, ai could be eplaced by a
di e en gas wi h a di e en alue o densi y. Howe e , his
change in luences u bulen low ield cha ac e is ics, which
may be undesi able.
E. Calcula ion o model scale o ine ial and g a i y o ces
main ained in balance (
F
= 1)
Acco ding o (1), he model scale can be exp essed by
using he alue
1
l ha ep esen s he 1
s
cha ac e is ic
dimension o he pollu an sou ce (i.e., leng h o pollu an
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MEASUREMENT SCIENCE REVIEW, 17, (2017), No. 2, 53-60
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cubic elemen ). The model scale in luences bo h ine ial and
g a i y o ces and changes hei a io. I all he o he
physical cha ac e is ics a e cons an , he ollowing
p inciples can be o mula ed: The g ea e is he model scale,
he g ea e is he in luence o g a i y o ces. The smalle is
he model scale, he g ea e is he in luence o ine ial
o ces. G a i y o ces a e, e.g., g ea e in a model scaled a
1:4 han in one scaled a 1:1000.
The alue o he 1
s
cha ac e is ic dimension o he
pollu an sou ce (leng h o pollu an cubic elemen )
11 =F ,
l
o
F
= 1 (ine ial and g a i y o ces a e equal) can be
deduced om (1):
=
⋅⋅
⋅⋅
==
=
=
−
−
1
2
1
1
F anpollu
ai F ai
anpolluG
ai I
Vg
S
F
F
ρ
ρ
131211
2
1312
===
==
⋅⋅⋅⋅
⋅⋅⋅
=
F ,F ,F , anpollu
ai F ,F ,ai
lllg
ll
ρ
ρ
(6)
o
111
2
1
==−
−
⋅⋅
⋅
==
F ,F , anpollu
ai ai
anpolluG
ai I
lg
F
F
ρ
ρ
(7)
Thus,
11 =F ,
l
is
=
⋅⋅⋅
⋅⋅⋅
=
⋅
⋅
=
==
==
=
1312
1312
2
2
11
F ,F , anpollu
F ,F ,ai ai
anpollu
ai ai
F ,
llg
ll
g
l
ρ
ρ
ρ
ρ
1
1
2
=
=
⋅⋅
⋅⋅
=
F anpollu
F ai ai
Sg
S
ρ
ρ
(8)
The model scale
1
=F
M [ - ] o
F
= 1 (ine ial and
g a i y o ces a e equal) is gi en by
X
M
F
1
1
=
=
(9)
whe e
11
1
=
=
F ,
l
l
X
(10)
The alue
1
l ep esen s he 1
s
cha ac e is ic dimension o
he pollu an sou ce (leng h o pollu an cubic elemen ) in
he o iginal model. The alue
11 =F ,
l
is he 1
s
cha ac e is ic
dimension o he pollu an sou ce in he model whe e
F
= 1 (i.e., ine ial and g a i y o ces a e equal).
2
2
1
II
FXF
⋅=
(11)
The alue
1I
F
is an ine ial o ce o o iginal pollu an
cubic elemen and
2I
F
is an ine ial o ce o scaled
pollu an cubic elemen . I he model scale is changed, he
change o he ine ial o ce is gi en by
2
3
1GG
FXF
⋅=
(12)
The alue
1G
F
is a g a i y o ce o o iginal pollu an cubic
elemen and
2G
F
is a g a i y o ce o scaled pollu an cubic
elemen . The alue
X
is a model scale ac o [-]. I
X
> 1,
he model is smalle han i s o iginal pa e n (i.e., he model
is downscaled). I
X
< 1, he model is la ge han i s
o iginal pa e n (i.e., he model is enla ged). Equa ions (11)
and (12) a e deduced om (1) o he F oude numbe .
A change in model scale always causes a change in he
a io o ine ial and g a i y o ces. The e o e, some
p oblems canno be eliably modeled a o he han
app oxima ely o iginal scales. The ange o de ia ion om
he o iginal depends on he disc e ion o in es iga o s.
In es iga o s mus decide whe he he ole ance o esul s is
accep able.
Modeling o gas pollu an plume mo ions wi h se e ely
downscaled models is a ypical example o his p oblem.
Downscaled pollu an plume models will no co espond o
he o iginally scaled pa e ns wi hou modi ying some key
physical cha ac e is ics (ai low eloci y, u bulen
cha ac e is ics, e c.).
The p oblem can be sol ed by using a nume ical
ma hema ical model e i ied by a clea ly de ined
expe imen o he same ype o physical phenomenon. Once
he nume ical model is e i ied, i can be used o nume ical
simula ion o any p oblem o he same physical p inciples,
wha e e he model scale is. Some imes i is impossible o
do he same wi h a physical expe imen .
I can be concluded ha se e ely downscaled expe imen s
a e no sui able o modeling gas pollu an plume mo ions
because o possible absence o e ical mo emen s. I is
mo e ad isable o use physical expe imen da a only o
e i ica ion o he nume ical model (code, so wa e).
F. Example o CFD nume ical simula ion
ANSYS Fluen 15.0, one o he wo ld’s mos sophis ica ed
CFD codes, was chosen o he nume ical simula ion o he
gas pollu an plume mo ion and dispe sion. The gauging
sec ion o he low-speed wind unnel (leng h 2 m, wid h
1.5 m, heigh 1.5 m, model scale 1:1000) wi h a small
nozzle (diame e 0.0035 m, heigh 0.02 m, scale 1:1000)
ep esen ing a chimney in a la , simple e ain was he
objec o he nume ical simula ion. Gas pollu an en e s he
gauging sec ion h ough he op o he nozzle (chimney) and
is ca ied by lowing ai (see Fig.2.).
RANS (Reynolds-a e aged Na ie -S okes equa ions)
app oach was used o u bulen cha ac e is ics de ini ion.
The Boussinesq hypo hesis o swi l u bulen iscosi y was
applied o he u bulen iscosi y calcula ion. RNG
ε
−
k
model o u bulence was used o he ai low ield basic
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MEASUREMENT SCIENCE REVIEW, 17, (2017), No. 2, 53-60
57
calcula ion (see [1], [2]). Species anspo model was used
o he species mo ion calcula ion. Bo h models wo ked
simul aneously. No addi ional gas pollu an dispe sion
model was applied. The ope a ing p essu e was se a
101 325 Pa, he ope a ing empe a u e was 300 K, and he
g a i y accele a ion was -9.81 m/s
2
in he geome y.
Conside ing he pollu an sou ce close su oundings, he
anges o he Reynolds numbe Re we e 250-1250 [-]
(model scale 1:1000, e e en ial ai low eloci y 1-5 m/s,
and nozzle spou diame e 0.0035 m) and 250000-1250000
[-] (model scale 1:1, e e en ial ai low eloci y 1-5 m/s,
and chimney spou diame e 3.5 m).
Fig.2. Geome y (gauging sec ion o he low-speed wind unnel)
and pollu an sou ce (nume ical model e sus physical
expe imen ).
Bounda y condi ions we e se o Veloci y Inle a he inle ,
Ou low a he ou le , Wall o he loo , Symme y o he
walls, Wall o pollu an sou ce walls, and Veloci y Inle o
he nozzle (spou o he chimney).
P o iles o he low ield physical cha ac e is ics we e
de e mined a he inle o he geome y (see Table
1.) based
on expe imen al da a om a low-speed wind unnel o a
1:1000-scale model (see [3], [4], [5], [6], [11]). Fo o he
model scales, he p o iles we e modi ied o keep he end o
cu es.
In Table 1. he pa ame e
x
ep esen s he ai low
eloci y in he di ec ion o X-axis [m/s],
I
is he in ensi y
o u bulence [%],
Y
is he e ical coo dina e o he
geome y [m], k is he u bulen kine ic ene gy [m
2
/s
2
], and
ε
is he u bulen dissipa ion a e [m
2
/s
3
].
The pollu an sou ce was designed as a nozzle (chimney).
Fo all model scales, he pollu an eloci y
anpollu
was se
a 0.5 m/s, he in ensi y o u bulence in he pollu an sou ce
a 10 %, he pollu an mass ac ion in he pollu an sou ce a
0.95 [-] and he ai mass ac ion in he pollu an sou ce a
0.05 [-]. The hyd aulic diame e o he pollu an sou ce was
se a 3.5 m o 1:1-scale model, 0.866 m o 1:4.04-scale
model, 0.0986 m o 1:35.51-scale model, 0.344 m o
1:101.821-scale model, and 0.0035 m o 1:1000-scale
model scale 1:1000.
Table 1. Ai low eloci y p o ile and u bulen cha ac e is ics
p o iles in geome y [3], [4], [5], [11].
Ve ical
p o ile
Equa ion
Ai low
eloci y
(X-di ec .)
(
)
3571100327023710
..Yln.
x
+
+
⋅
=
Ai
u bulen
in ensi y
(
)
1405000327006730 ..Yln.I
+
+
⋅
−
=
Tu bulen
kine ic
ene gy
(
)
2
51 I .k
x
⋅⋅=
Tu bulen
dissipa ion
a e
(
)
4
1
0902251
3
.
k.. ⋅⋅
=
ε
Th ee di e en pollu an s we e chosen o be es ed:
helium, me hanol and 1,2-dichlo e hane. Helium (
ρ
=
0.1625 kg/m
3
) has a lowe densi y han ai , i.e., i is ligh e
han ai (
ρ
= 1.225 kg/m
3
). Me hanol (
ρ
= 1.43 kg/m
3
) has
app oxima ely he same densi y as ai , i.e., i is
app oxima ely o he same weigh as ai . 1,2-dichlo e hane
(
ρ
= 4.1855 kg/m
3
) has a g ea e densi y han ai , i.e., i is
hea ie han ai . Plumes o pollu an s ligh e han ai end o
climb, whe eas hose hea ie han ai end o descend.
Howe e , his is no always he case. Pollu an plume
e ical mo emen s can be in luenced by se e al o he
physical ac o s as demons a ed in he analysis.
3.
R
ESULTS
The esul s can be di e en ia ed in h ee ca ego ies
p esen ed below.
A. Analysis o esul s by ai low eloci y
The aim o his analysis is o compa e gas pollu an plume
shapes and mo ions o h ee di e en gas pollu an s
(helium, me hanol and 1,2-dichlo e hane) a di e en alues
o he ai low eloci y
ai
. The demons a ion o he
p oblem was pe o med wi h a 1:1-scale h ee-dimensional
geome y ep esen ing he eal pa e n o a simple e ain
wi h a chimney. The e e en ial ai low eloci ies
ai
a
he le el o he chimney spou (pollu an sou ce) we e 1 m/s,
3 m/s and 5 m/s.
Resul s we e calcula ed using he ANSYS Fluen 15.0
so wa e and we e isualized in Fig.3. The con ou s we e
plo ed in wo-dimensional planes o he geome y, sc., he
cen al e ical longi udinal plane, he loo (g ound) plane,
and he ou le plane.
The igu e shows ha wi h inc easing ai low eloci y
ai
he pollu an plume e ical mo emen s a e educed.
The pollu an plume inclines ho izon ally a he le el o he
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MEASUREMENT SCIENCE REVIEW, 17, (2017), No. 2, 53-60
58
chimney spou (pollu an sou ce) showing no endency o
climb o descend. This is because he ine ial o ce
ai I
F
−
inc eases as he ai low eloci y
ai
inc eases.
Hence, he pollu an plume e ical mo emen s a e educed
o o ally elimina ed.
Fig.3. Gas pollu an plume mo ion analysis by ai low eloci y
and pollu an densi y (iso-su aces o gaseous helium, me hanol,
and 1,2-dichlo e hane concen a ions wi h mass ac ion o 0.0001
[-] o one model scale).
The ai low eloci y also in luences he size and shape o
he pollu an plume. Wi h inc easing ai low eloci y
ai
he pollu an plume ends o be na owe and longe .
Howe e , a u he inc ease in he ai low eloci y makes
he pollu an plume sho e because o g ea e a e o he
pollu an dispe sion. The plume ange a ce ain
concen a ion o he pollu an he e o e dec eases wi h
inc easing ai low eloci y.
B. Analysis o esul s by pollu an densi y
The aim o his analysis is o compa e gas pollu an plume
shapes and mo ions o h ee di e en gas pollu an s
(helium, me hanol and 1,2-dichlo e hane) a di e en alues
o hei densi y. Demons a ion o he p oblem was
pe o med wi h a 1:1-scale h ee-dimensional geome y
ep esen ing he eal pa e n o a simple e ain wi h a
chimney. The e e en ial ai low eloci y
ai
a he le el
o he chimney spou (pollu an sou ce) was 1 m/s.
Resul s we e calcula ed using he ANSYS Fluen 15.0
so wa e and we e isualized in Fig.3. The con ou s we e
plo ed in wo-dimensional planes o he geome y, sc., he
cen al e ical longi udinal plane, he loo (g ound) plane,
and he ou le plane.
The igu e shows ha : I he pollu an densi y
anpollu
ρ
is lowe han he ai densi y
ai
ρ
he gas pollu an plume
ends o climb ( o helium see Fig.3.). I he pollu an
densi y
anpollu
ρ
is app oxima ely he same as he ai
densi y
ai
ρ
he gas pollu an plume nei he climbs no
descends ( o me hanol see Fig.3.). I he pollu an densi y
anpollu
ρ
is g ea e han he ai densi y
ai
ρ
he gas
pollu an plume ends o descend ( o 1,2-dichlo e hane see
Fig.3.). The ange o e ical mo emen s is de e mined by
g a i y o ce
anpolluG
F
−
ha in luences pollu an plume a
gi en condi ions. The g ea e he g a i y o ce
anpolluG
F
−
is compa ed o he ine ial o ce
ai I
F
−
, he mo e signi ican
is he e ical mo emen o he plume, i.e., ligh pollu an
plume climbs and hea y pollu an plume descends.
The pollu an densi y
anpollu
ρ
also in luences he
pollu an plume dispe sion. The g ea e is he pollu an
densi y, he longe is he ange o he plume. A gi en ai
low eloci y
ai
, he plume dispe sion o pollu an s wi h a
low densi y is as e and easie han ha o pollu an s wi h a
g ea e densi y.
C. Analysis o esul s by model scale
The aim o his analysis is o compa e gas pollu an plume
shapes and mo ions o h ee di e en gas pollu an s
(helium, me hanol, and 1,2-dichlo e hane) a di e en model
scales. The demons a ion o he p oblem was pe o med
wi h a h ee-dimensional geome y a h ee selec ed scales
o each o he h ee pollu an s. The i s 1:1-scale model
ep esen s he eal pa e n o a simple e ain wi h a chimney
(pollu an sou ce) whe e
F
< 1, i.e., he g a i y o ce
anpolluG
F
−
is g ea e han he ine ial o ce
ai I
F
−
. The
second model (scaled a 1:4.04, 1:35.51, and 101.82,
espec i ely) ep esen s he s a e when
F
= 1, i.e., he
g a i y o ce
anpolluG
F
−
equals he ine ial o ce
ai I
F
−
.
The hi d 1:1000-scale model ep esen s he gauging sec ion
o a low-speed wind unnel wi h a nozzle (pollu an sou ce)
on he loo whe e
F
> 1, i.e., he ine ial o ce
ai I
F
−
is
g ea e han he g a i y o ce
anpolluG
F
−
. The e e en ial
ai low eloci y
ai
a he le el o he chimney spou
(pollu an sou ce) was 1 m/s.
Resul s we e calcula ed using he ANSYS Fluen 15.0
so wa e and we e isualized in Fig.4. Con ou s we e
plo ed in wo-dimensional planes o he geome y, sc. he
cen al e ical longi udinal plane, he loo (g ound) plane,
and he ou le plane.
The igu e shows ha : I he model scale changes and all
o he cha ac e is ics emain unchanged, he ine ial and
g a i y o ces and hei a io change oo. The e o e, he size,
shape, and inclina ion o he pollu an plume change.
Acco ding o (11), he ine ial o ce is p opo ional o he
squa e o he model scale. Acco ding o (12), he g a i y
o ce is p opo ional o he hi d powe o he model scale.
The e o e, he change in he g a i y o ce due o he change
o he model scale is conside ably g ea e han he change in
he ine ial o ce. The lowe is he model scale, he g ea e is
he dominance o ine ial o ces compa ed o g a i y o ces,
and ice e sa.
Also, he g ea e he pollu an densi y, he lowe he model
scale i
F
= 1, i.e., he ine ial and g a i y o ces a e equal.
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MEASUREMENT SCIENCE REVIEW, 17, (2017), No. 2, 53-60
59
Fig.4. Gas pollu an plume mo ion analysis by model scale (iso-
su aces o gaseous helium, me hanol, and 1,2-dichlo e hane
concen a ions wi h mass ac ion o 0.0001 [-] o h ee di e en
model scales).
4.
D
ISCUSSION
/
CONCLUSIONS
The aim o he analyses was o lay down p inciples o
physical and ma hema ical modeling o gas pollu an plume
mo ion and dispe sion in eal a mosphe ic condi ions. The
in luences o he ai low eloci y, pollu an ’s densi y, and
model scale on pollu an plume size, shape, and inclina ion
we e in es iga ed.
The F oude numbe was chosen as a c i e ion o physical
simila i y o he pollu an plume beha io in he
a mosphe e. Basic ma hema ical ules and p inciples we e
o mula ed upon s udy o a ailable luid mechanics
li e a u e (see [7], [8], [9], [10], [11], [12], [13], [14]). Nex ,
all ma hema ical and physical assump ions we e e i ied by
nume ical simula ion using he ANSYS Fluen 15.0
so wa e. Ai low ield was modeled using he RNG
ε
−
k
model o u bulence, he gas pollu an mo ion was modeled
using he Species T anspo Model, bo h in he same h ee-
dimensional geome y consis ing o 569 490 g id cells.
Tu bulen cha ac e is ics we e de ined using RANS
app oach. No addi ional dispe sion model was applied.
Objec o modelling was gauging sec ion o he low-speed
wind unnel ( o model scale o 1:1000) o big eal e ain
( o model scale o 1:1) wi h a pollu an sou ce in he o m
o a nozzle (o chimney, espec i ely) si ua ed on he sec ion
loo (g ound). The gauging sec ion wi h he nozzle
ep esen ed a chimney in a simple, la e ain. The chimney
was conside ed o be a pollu an sou ce o h ee di e en
gas pollu an s (helium, me hanol, and 1,2-dichlo e hane).
The nume ical simula ion was pe o med o i e model
scales, h ee gas pollu an s wi h di e en densi ies, and h ee
di e en ai low eloci ies. The simula ions we e s eady
( ime-independen ) wi h he accu acy o 0.0001 (c i e ion o
con e gence). Final esul s we e isualized as pollu an
concen a ion ields wi h he concen a ion limi alue o
0.001. The con ou s we e plo ed in wo-dimensional planes
o he geome y, sc. he cen al e ical longi udinal plane,
he loo (g ound) plane, and he ou le plane. The nume ical
model had been e i ied by an expe imen pe o med in a
low-speed wind unnel (see [3], [4], [5]).
The ollowing p inciples based on he esul s o he F oude
numbe analysis o pollu an plume mo ion and dispe sion in
eal a mosphe e can be de ined:
1) The g ea e is he ai low eloci y, he g ea e a e he
ine ial o ces. These o ces in luence pollu an plume and
educe i s e ical mo ions (inclina ion). Wi h inc easing ai
low eloci y, he pollu an plume inclines ho izon ally a
he le el o he chimney spou (pollu an sou ce), bu wi h
u he inc ease in he ai low eloci y i becomes na owe
and sho e .
2) The g ea e is he di e ence be ween pollu an densi y
and ai densi y, he mo e signi ican is he endency owa ds
e ical mo emen s (climbing o descending) o he plume.
The plume o pollu an wi h lowe densi y han ai ends o
climb, whe eas he plume o pollu an wi h g ea e densi y
han ai ends o descend. The densi y o he pollu an also
in luences he pollu an plume dispe sion. The g ea e is he
pollu an densi y, he longe is he ange o he plume. A
gi en ai low eloci y
ai
, he plume dispe sion o
pollu an s wi h a low densi y is as e and easie han ha o
pollu an s wi h a g ea e densi y.
3) I he model scale changes and all o he cha ac e is ics
emain unchanged, he ine ial and g a i y o ces and hei
a io change oo. The e o e, he size, shape and inclina ion
o he pollu an plume change. The ine ial o ce is
p opo ional o he squa e o he model scale, whe eas he
g a i y o ce is p opo ional o he hi d powe o he model
scale. The change in he g a i y o ce due o he change o
model scale is conside ably g ea e han he change in he
ine ial o ce. The lowe is he model scale, he g ea e is he
dominance o ine ial o ces compa ed o g a i y o ces.
Also, he g ea e is he pollu an densi y, he lowe is he
model scale i
F
= 1, i.e., he ine ial and g a i y o ces a e
equal.
7.
C
ONCLUSION
F om he abo e i ollows ha i in es iga o s wan o
espec and ollow he basics o physical phenomena, hey
mus conside c i e ia o physical simila i y e y ca e ully,
in pa icula c i e ia o dynamic simila i y. Some physical
phenomena, howe e , canno be modeled in any model scale
bu he o iginal one wi hou changing he basis o he
phenomena.
This analysis is in ended o hose who a e in e es ed in
gas pollu an plume mo ion in he a mosphe e and in heo y
o physical simila i y. The conclusions o he analysis can
be used o u he expe imen design wo ks o o checking
esul s o ma hema ical modeling.
A
CKNOWLEDGMENT
Au ho s acknowledge he inancial suppo o he SPII
1a10 45/07 p ojec o he Minis y o he En i onmen o he
Czech Republic.
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60
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