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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 11 | Nov 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 775
Flow Field Measurements in a Large Controlled Ventilated Room
Di Tommaso R.M., Faruoli M., Ferrara N. Nino E.
School of Engineering University of Basilicata
Via dell’Ateneo Lucano, 10. 85100 Potenza Italy
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - A large-scale test room, which represents a Test
Control Room facilities in scale 1:1, has been recently
developed in order to evaluate the internal flow filed induced
by the ventilation system. Due to its crucial relevance in
numerous technical applications, rooms ventilation efficiency
has been subject of severalscientificinvestigationsconsidering
also the restricted requirements that such devices should
satisfy in terms of microbiology, particulateconcentration and
pathogen diffusion (Covid-19). Such a large-scale test room
with an internal dimension of 6x6x3 m (corresponding to an
internal volume of 108 m3) has been equipped with fourinlets
and twelve exhaust terminal grids, parts of the ventilation
system entirely customary designed. In order to assess effects
of different air flow rates, induced by the ventilation system,
on the internal flow distribution, a relevant number of three
dimensional velocity measurements has been performed,
under isothermal conditions, by using a fiber optic Laser
Doppler Velocimetry. Consistentlywiththesurvivedliterature,
two different inlet flow rates have been considered, in
particular 15 and 30 Air Change per Hour (ACH) respectively
corresponding to 0.45 and 0.90 m3/s. The whole campaign of
measurements has been performed totally in 690 points for a
total of 4140 single velocity components acquired.
Key Words: Room Ventilations, Laser Döppler Velocimetry;
Internal Flow Field.
1.INTRODUCTION
An environment maintained at a highlevel ofcleanlinessisa
general requirement for the microelectronics,biological and
chemical industry; particular clean environments are also
required for operating rooms toavoidinfections(COVID-19)
and bacteria propagation during surgeries. Whole flow field
airflow patterns and velocity distribution are fundamental
information to understand the performance of ventilation
systems for cleanliness and for occupants comfort.
Obviously, the air distribution in the entire environment is
strongly affected by ventilation terminals typologies, their
position in the walls, and flow rates set. Those data are
commonly provided in manufacture’s product catalogs;
these data are used to evaluate the position and orientation
of the terminals in the room, unfortunately they are not
suitable to understand in detail the flow distribution in
terms of velocity profile, turbulence and vorticity in the exit
region. In the open literature are available works, numerical
and experimental, whichdescribetheflowdistributioninthe
exit region of diffusers and terminals and often the
consequent flow pattern in the rooms in which they are
installed. A complete work that could be seen as the state of
the art in the ventilation is represented by the ASHRAE
Report 2000 [1]. The report shows results carried out
numerically and experimentally for different types of
diffusers, in particular in order to evaluate the velocity
distribution in the exit region of the diffusers a hot sphere
anemometer system as a measuring technique was chosen.
As in the mentioned work the literature shows thathot-wire
anemometer system and hot sphere anemometer system
were widely used to measure the flow distribution in
ventilated environments. Thermal anemometers measure
the flow velocity by sensing the heat transfer changes from
an electrically heated sensing element. In the case of a high-
temperature sensing head and low-velocity flow, a
significant amount of free convection is generated, which
creates measurement errors. Zhang [2] evaluated this error
for flow velocity less than 0.25 m/s and determined that the
uncertainty is 25% of the mean velocities of the measured
airflow. Therefore hot-wire techniques provide velocity
measurements at a single point in space over time, in this
case, the flow’s fluctuations are completely missed and only
the velocity magnitude is measured, but thermal sensorsare
still widely adopted (Han and Li [3]). Theflowfieldstructure
investigated using thermal sensor are often integrated with
flow visualizations techniques (Carpenter et al [4], Nielsen
[5], Timmons [6], Murakami and Kato [7], Zhangetal.[8])by
using either smoke or soap bubbles to visualize airflow
patterns, are also suitable to characterize the flow but only
in a qualitative way. A more sophisticated alternative that
allows to measurement of the flow distribution with high
spatial resolution is represented by the Particle Image
Velocimetry (PIV) technique as widely described by Zhao et
al. [9], Angioletti et al. [10] and Cao et al. [11]. PIV has the
advantage of measuring a complete velocity field at each
instant in time even with low-velocity values.Unfortunately,
the actual resolution of the CCD and laser density adopted in
the PIV techniques, allowed the flow field measurements
only in plane with a few dozen of centimetres in size, so for
reconstruct a section of a real scale room several
measurements need to be performed.
Also, Laser Döppler Velocimety (LDV) has been widely
adopted, for example by Hurnik et al. [12] Angioletti etal.[9]
for measuring the flow distribution inside ventilated
environments under different mixing conditions and wall
temperature distribution. Posner et al. [10] performed both
PIV and LDV measurements and CFD simulations in a model
room (scale 1:10), but again the considered flow rates were
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 11 | Nov 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 776
not suitable for a real scale room. PIV technique (Angioletti
et al. [11]) was also used to perform measurements of the
flow field in terms of instantaneous velocity distribution,
turbulence intensity and vorticity distribution in the exit
region of terminals commonly used in clean rooms. Still, an
interaction between the air supply terminal and the rooms
was not considered. In the present work, flow field
investigations have been performed in a Test Control Room
(TCR), to investigate the effect of the terminals described in
[11] in a test room with real dimensions.
2. EXPERIMENTAL SET-UP
A Test Control Room (TCR), represented in a three-
dimensional view in Fig. 1,withinnerdimensionsof6x6x3m.
The TCR is realized by modular cave elements (with
dimensions of 1x2 m and an internal cavity of 0.08 m). Inside
each element, a copper pipe serpentine has been placed to
ensure and control the temperature of each module utilizing
watercirculationinsidetheserpentine.Thecirculating,inside
the serpentine, water temperature is controlled by a
refrigerant/heating system. With this solution, it is possible
to control the temperature of each surface of the room
including the floor and ceiling, The same system have been
adopted for control the inlet air temperature. In this specific
work a constantanduniformtemperaturehavebeenadopted
for the internal walls of the TCR and for the inlet air. The
overall temperature has been set at 20 °C and measured by
means of K typethermocouplesthatensuresameasurements
precision of ±0.5 °C.
Fig -1. The Test Control Room (TCR)
The adopted ventilation system can supply flow rates up to
1.1 m3/s (more than 37 ACH) and by employinginvertersitis
possible to regulatethe rotation speed of the fans, andso,the
supply (and exhaust) air flow rates. The investigated flow
rates were 0.45 and 0.9 m3/s corresponding respectively to
15 and 30 ACH (Air Change per Hour). The separate control
on both inlet and outlet flow is suitable to obtain a positive
gauge pressure inside the test room (usually 50 Pa),
compared with external atmospheric pressure. Different air
supply devices can be mounted in four square frames of
0.70x0.70 m. In the present work, the typology of diffuser
adopted (fig. 2) was the same investigated in [11] and the
typical velocity distribution obtained have been reported in
fig. 3 and 4. The employed Laser Doppler Velocimetry (LDV)
technique system, depicted in fig. 5 and working in
backscattering, is based on a CW Argon:Ion laser, air-cooled,
with a multiline maximum power of 250 mW, a TSI
PDM1000-1P and a TSI FSA3500P were provided,
respectively, to split and to acquire/analyze the signal,
focused at the measurement point by a TSI FBL1 beam
generator, linked utilizing two couplers optical fiber.
Fig -2. Whole and particular view of inlet grid
The transmitting/receiving optics were mounted on a three-
axis positioning system, driven by CC-optical encoders
motors and an host PC. The positioning system allows a
precision in measurement point allocation of 0.5 mm. The
working fluid (air) was seeded using a glycerin smoke
generator to get particles with a diameter of about 0.5 µm,
able to follow the flow’s fluctuations. The seeding was
generated directly in the TCR, saturating the inlet air then,
repeating the operationwhentheseedingdensitybecametoo
low. During the LDV, measurements the seeding generator
was kept off to eliminate the interferences between the flow
produced by the seeding generatorandtheflowfieldinduced
by the ventilation flow inside the TCR.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 11 | Nov 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 777
Fig -3: Velocity distribution at the inlet ventilation terminal
at four flow rates as reported by [11].Name of the figure
Fig -4: Velocity distributions above the inlet ventilation
terminal with a flow rate of 810 m3/h as reported by [11]
Fig -5: LDV set-up and system component
3. RESULTS AND DISCUSSION
The non-intrusive nature of optical techniques, combined
with their insensitivity to fluid properties and flow
conditions, make their use suitable for the study of complex
flow configurations. For these properties, the LDV technique
was chosen to characterize the airflow inside the test room.
The set of measurements taken in this campaign was
finalized to investigate specific sections of the flow to
reconstruct the typical air pattern distribution. Fig. 6 depicts
how measuring planes have been chosen inside the
investigated volume. In detail each of those plane represents
a measuring grid with 138 equispaced sampling points. All
measurements were repeated for two different flow rates:
0,45 m3/s and 0,9 m3/s (corresponding respectively to 15
and 30 ACH)and forthree velocity components.Inpractice,a
total of 4140 velocity measurements have been performed.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 11 | Nov 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 778
Fig -6: Measuring planes inside the TCR
The discussion on the velocity results obtained, due to the
large number of data available, will be carried out with a
global vision of the velocity field trend considering the flow
pattern inside the room and comparing measurements at 15
ACH (Figures from 7 to 11) with those at 30 ACH (Figures
from 12 to 16). Globally, it is evident how the supplied air,
exiting from inlet devices mounted even with the ceiling
surface and following the velocity distribution at the exit of
the inlet terminal visible in Figures 3 and 4, goes almost
undisturbed towards the floor. At the level of the floor the
main jet impact on it then, the flow, rises in both the central
axis and wall region of the room. Part of the flow travels
almost directly from intake to outlet after impinging on the
floor. Another part of it, keeps enough kinetic energy to be
redirected again toward the ceiling and then most likely
towards exhaust grids placed on the upper side of the room.
The global flow pattern remains, under isothermal
conditions, almost the same by changing the flow rate from
15 to 30 ACH. This has also been evaluated by means Air
Change Efficiency (ACE) results obtained by using tracer gas
technique. In the whole range between the two investigated
flow rates, the value of ACE is not changing along with the
chosen inlet flow rate and its value is constantly equal to
50%, which testifies a perfect mixing ventilation. By
increasing the inlet flow rate, from 15 to 30 ACH, a sensible
augmentation in the velocity magnitude distribution is
appreciable as well.
Fig -7: Velocity vectors Vxz – isothermal case –Y=1,5 m –
ACH=15
Fig -8: Velocity vectors Vxz – isothermal case –Y=2,0 m –
ACH=15
Fig -9: Velocity vectors Vxz – isothermal case –Y=3,0 m –
ACH=15
Fig -10: Velocity vectors Vxz – isothermal case –Y=4,0 m –
ACH=15
Fig -11: Velocity vectors Vxz – isothermal case –Y=4,5 m –
ACH=15
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 11 | Nov 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 779
Fig -12: Velocity vectors Vxz – isothermal case –Y=1,5 m –
ACH=30
Fig -13: Velocity vectors Vxz – isothermal case –Y=2,0 m –
ACH=30
Fig -14: Velocity vectors Vxz – isothermal case –Y=3,0 m –
ACH=30
Fig -15: Velocity vectors Vxz – isothermal case –Y=4,0 m –
ACH=30
Fig -16: Velocity vectors Vxz – isothermal case –Y=4,5 m –
ACH=30
3. CONCLUSIONS
A Laser Doppler Velocimetry technique has been
successfully applied toevaluateflowfielddistributionwithin
a ventilated Test Control Room (TCR). Measurements were
performed under isothermal conditions with a supply flow
rate corresponding to 15 and 30 ACH’s. The paper gives a
detailed analysis of the air flow pattern generated by the
ventilation system at each specific air flow rate. Velocity
vectors distribution has been usefully employed for this
purpose. Besides the experimental analysis proposed and
displayed in this paper, the set of results obtained could be
used to validate CFD codes end eventually, with an
integrated experimental-analytical approach,tosimulate the
whole flow field distribution within specific ventilated
enclosures like clean rooms or operating theatres. A natural
prosecution of the present work could be a more extensive
and complete analysis of the aerodynamicdistributioninthe
entire ventilated environment, or incharacteristicpartsofit,
under specific thermal boundary conditions (i.e. a wall
warmer or colder than the others) obtainable with the
facilities presented.
REFERENCES
1) ASHRAE. RP-1009. “Simplified Diffuser Boundary
Conditions for Numerical Room Airflow Models”,
Atlanta 2000.
2) Zhang, J.S., “A fundamental study of two
dimensional room ventilation flows under
isothermal and non-isothermal conditions”. Ph.D.
thesis, University of Illinois at Urbana-Champaign,
1991.
3) Han, O., & Li, A. (2021). Velocity distributionofwall-
attached jets in slotted-inlet ventilated rooms.
Building and Environment, 194, 107708.
https://doi.org/10.1016/j.buildenv.2021.107708
4) Carpenter, G.A., Moulsely L.G. and Randall J.M.
“Ventilation investigation using a section of a
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 11 | Nov 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 780
livestock building and airflow visualization by
bubbles”, J of Agri. Engng. Res. 17 (4): 323-331,
1972.
5) Nielsen, P.V., “Flow in Air Conditioned Rooms –
Model Experiments and Numerical Solution of the
Flow Equations”, Ph.D. thesis, Technical University
of Denmark, Nordborg, Denmark. 1974.
6) Timmons, M.B., “Experimental andNumerical Study
of Air Movement in Slot Ventilated Enclosures”,
Ph.D. thesis, Cornell University, Ithaca, N.Y, 1979.
7) Murakami, S., and Kato, S., “Current Status of
Numerical and Experimental MethodsforAnalyzing
Flow Field and Diffusion Field in a Room”, Building
Systems: Room Air and Air Contaminant
Distribution, ASHRAE, Atlanta, 1989.
8) Zhang, J.S., “A Fundamental Study of Two
Dimensional Room Ventilation Flows Under
Isothermal and Non Isothermal Conditions”, Ph.D.
thesis, University of Illinois at Urbana Champaign,
1991.
9) Zhao, L., Zhang, Y., Wang, X., Riskowski, G.L., and
Christianson, L.L., “Development of PIV Techniques
to Measure Airflow Patterns in Ventilated
Airspaces”, ASHRAE Transactions 105 (2): 1098-
1107, 1999.
10) Angioletti M., Di Tommaso R.M., Martinelli S., Nino
E., “Experimental investigation of three types of
clean room diffusers using particle image
velocimetry and laser Doppler velocimetry
techniques”,International Journal ofVentilation,Vol
2 n. 2: 91-102, sept. 2003
11) Xiaodong Cao, Junjie Liu, Nan Jiang, Qingyan Chen.
Particle image velocimetry measurement of indoor
airflow field: A review of the technologies and
applications. February 2014 Energy and Buildings
69:367-380 DOI: 10.1016/j.enbuild.2013.11.012
12) Hurnik, M., Blaszczok, M., & Popiolek, Z. (2015). Air
speed and velocity measurements in a room with a
sidewall jet. Data in Brief, 5, 213-217.
https://doi.org/10.1016/j.dib.2015.07.035
13) Angioletti, M., Di Tommaso, R.M., Nino, E., Ruocco,
G., “Flow Field Analysis in a Ventilated Large
Enclosure Subject to Non-Homogeneous Boundary
Conditions”, Heat Transfer Engineering, 24 (3): 1-
15, 2003.
14) J.D. Posner, C.R. Buchanam, D. Dunn-Rankin,
“Measurement and prediction of indoorairflowina
model room”, Energy and Buildings, Vol. 35,issue5,
June 2003, pp. 515-526.
15) Hurnik, M., Blaszczok, M., & Popiolek, Z. (2015). Air
speed and velocity measurements in a room with a
sidewall jet. Data in Brief, 5, 213-217.
https://doi.org/10.1016/j.dib.2015.07.035

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Flow Field Measurements in a Large Controlled Ventilated Room

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 11 | Nov 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 775 Flow Field Measurements in a Large Controlled Ventilated Room Di Tommaso R.M., Faruoli M., Ferrara N. Nino E. School of Engineering University of Basilicata Via dell’Ateneo Lucano, 10. 85100 Potenza Italy ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - A large-scale test room, which represents a Test Control Room facilities in scale 1:1, has been recently developed in order to evaluate the internal flow filed induced by the ventilation system. Due to its crucial relevance in numerous technical applications, rooms ventilation efficiency has been subject of severalscientificinvestigationsconsidering also the restricted requirements that such devices should satisfy in terms of microbiology, particulateconcentration and pathogen diffusion (Covid-19). Such a large-scale test room with an internal dimension of 6x6x3 m (corresponding to an internal volume of 108 m3) has been equipped with fourinlets and twelve exhaust terminal grids, parts of the ventilation system entirely customary designed. In order to assess effects of different air flow rates, induced by the ventilation system, on the internal flow distribution, a relevant number of three dimensional velocity measurements has been performed, under isothermal conditions, by using a fiber optic Laser Doppler Velocimetry. Consistentlywiththesurvivedliterature, two different inlet flow rates have been considered, in particular 15 and 30 Air Change per Hour (ACH) respectively corresponding to 0.45 and 0.90 m3/s. The whole campaign of measurements has been performed totally in 690 points for a total of 4140 single velocity components acquired. Key Words: Room Ventilations, Laser Döppler Velocimetry; Internal Flow Field. 1.INTRODUCTION An environment maintained at a highlevel ofcleanlinessisa general requirement for the microelectronics,biological and chemical industry; particular clean environments are also required for operating rooms toavoidinfections(COVID-19) and bacteria propagation during surgeries. Whole flow field airflow patterns and velocity distribution are fundamental information to understand the performance of ventilation systems for cleanliness and for occupants comfort. Obviously, the air distribution in the entire environment is strongly affected by ventilation terminals typologies, their position in the walls, and flow rates set. Those data are commonly provided in manufacture’s product catalogs; these data are used to evaluate the position and orientation of the terminals in the room, unfortunately they are not suitable to understand in detail the flow distribution in terms of velocity profile, turbulence and vorticity in the exit region. In the open literature are available works, numerical and experimental, whichdescribetheflowdistributioninthe exit region of diffusers and terminals and often the consequent flow pattern in the rooms in which they are installed. A complete work that could be seen as the state of the art in the ventilation is represented by the ASHRAE Report 2000 [1]. The report shows results carried out numerically and experimentally for different types of diffusers, in particular in order to evaluate the velocity distribution in the exit region of the diffusers a hot sphere anemometer system as a measuring technique was chosen. As in the mentioned work the literature shows thathot-wire anemometer system and hot sphere anemometer system were widely used to measure the flow distribution in ventilated environments. Thermal anemometers measure the flow velocity by sensing the heat transfer changes from an electrically heated sensing element. In the case of a high- temperature sensing head and low-velocity flow, a significant amount of free convection is generated, which creates measurement errors. Zhang [2] evaluated this error for flow velocity less than 0.25 m/s and determined that the uncertainty is 25% of the mean velocities of the measured airflow. Therefore hot-wire techniques provide velocity measurements at a single point in space over time, in this case, the flow’s fluctuations are completely missed and only the velocity magnitude is measured, but thermal sensorsare still widely adopted (Han and Li [3]). Theflowfieldstructure investigated using thermal sensor are often integrated with flow visualizations techniques (Carpenter et al [4], Nielsen [5], Timmons [6], Murakami and Kato [7], Zhangetal.[8])by using either smoke or soap bubbles to visualize airflow patterns, are also suitable to characterize the flow but only in a qualitative way. A more sophisticated alternative that allows to measurement of the flow distribution with high spatial resolution is represented by the Particle Image Velocimetry (PIV) technique as widely described by Zhao et al. [9], Angioletti et al. [10] and Cao et al. [11]. PIV has the advantage of measuring a complete velocity field at each instant in time even with low-velocity values.Unfortunately, the actual resolution of the CCD and laser density adopted in the PIV techniques, allowed the flow field measurements only in plane with a few dozen of centimetres in size, so for reconstruct a section of a real scale room several measurements need to be performed. Also, Laser Döppler Velocimety (LDV) has been widely adopted, for example by Hurnik et al. [12] Angioletti etal.[9] for measuring the flow distribution inside ventilated environments under different mixing conditions and wall temperature distribution. Posner et al. [10] performed both PIV and LDV measurements and CFD simulations in a model room (scale 1:10), but again the considered flow rates were
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 11 | Nov 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 776 not suitable for a real scale room. PIV technique (Angioletti et al. [11]) was also used to perform measurements of the flow field in terms of instantaneous velocity distribution, turbulence intensity and vorticity distribution in the exit region of terminals commonly used in clean rooms. Still, an interaction between the air supply terminal and the rooms was not considered. In the present work, flow field investigations have been performed in a Test Control Room (TCR), to investigate the effect of the terminals described in [11] in a test room with real dimensions. 2. EXPERIMENTAL SET-UP A Test Control Room (TCR), represented in a three- dimensional view in Fig. 1,withinnerdimensionsof6x6x3m. The TCR is realized by modular cave elements (with dimensions of 1x2 m and an internal cavity of 0.08 m). Inside each element, a copper pipe serpentine has been placed to ensure and control the temperature of each module utilizing watercirculationinsidetheserpentine.Thecirculating,inside the serpentine, water temperature is controlled by a refrigerant/heating system. With this solution, it is possible to control the temperature of each surface of the room including the floor and ceiling, The same system have been adopted for control the inlet air temperature. In this specific work a constantanduniformtemperaturehavebeenadopted for the internal walls of the TCR and for the inlet air. The overall temperature has been set at 20 °C and measured by means of K typethermocouplesthatensuresameasurements precision of ±0.5 °C. Fig -1. The Test Control Room (TCR) The adopted ventilation system can supply flow rates up to 1.1 m3/s (more than 37 ACH) and by employinginvertersitis possible to regulatethe rotation speed of the fans, andso,the supply (and exhaust) air flow rates. The investigated flow rates were 0.45 and 0.9 m3/s corresponding respectively to 15 and 30 ACH (Air Change per Hour). The separate control on both inlet and outlet flow is suitable to obtain a positive gauge pressure inside the test room (usually 50 Pa), compared with external atmospheric pressure. Different air supply devices can be mounted in four square frames of 0.70x0.70 m. In the present work, the typology of diffuser adopted (fig. 2) was the same investigated in [11] and the typical velocity distribution obtained have been reported in fig. 3 and 4. The employed Laser Doppler Velocimetry (LDV) technique system, depicted in fig. 5 and working in backscattering, is based on a CW Argon:Ion laser, air-cooled, with a multiline maximum power of 250 mW, a TSI PDM1000-1P and a TSI FSA3500P were provided, respectively, to split and to acquire/analyze the signal, focused at the measurement point by a TSI FBL1 beam generator, linked utilizing two couplers optical fiber. Fig -2. Whole and particular view of inlet grid The transmitting/receiving optics were mounted on a three- axis positioning system, driven by CC-optical encoders motors and an host PC. The positioning system allows a precision in measurement point allocation of 0.5 mm. The working fluid (air) was seeded using a glycerin smoke generator to get particles with a diameter of about 0.5 µm, able to follow the flow’s fluctuations. The seeding was generated directly in the TCR, saturating the inlet air then, repeating the operationwhentheseedingdensitybecametoo low. During the LDV, measurements the seeding generator was kept off to eliminate the interferences between the flow produced by the seeding generatorandtheflowfieldinduced by the ventilation flow inside the TCR.
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 11 | Nov 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 777 Fig -3: Velocity distribution at the inlet ventilation terminal at four flow rates as reported by [11].Name of the figure Fig -4: Velocity distributions above the inlet ventilation terminal with a flow rate of 810 m3/h as reported by [11] Fig -5: LDV set-up and system component 3. RESULTS AND DISCUSSION The non-intrusive nature of optical techniques, combined with their insensitivity to fluid properties and flow conditions, make their use suitable for the study of complex flow configurations. For these properties, the LDV technique was chosen to characterize the airflow inside the test room. The set of measurements taken in this campaign was finalized to investigate specific sections of the flow to reconstruct the typical air pattern distribution. Fig. 6 depicts how measuring planes have been chosen inside the investigated volume. In detail each of those plane represents a measuring grid with 138 equispaced sampling points. All measurements were repeated for two different flow rates: 0,45 m3/s and 0,9 m3/s (corresponding respectively to 15 and 30 ACH)and forthree velocity components.Inpractice,a total of 4140 velocity measurements have been performed.
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 11 | Nov 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 778 Fig -6: Measuring planes inside the TCR The discussion on the velocity results obtained, due to the large number of data available, will be carried out with a global vision of the velocity field trend considering the flow pattern inside the room and comparing measurements at 15 ACH (Figures from 7 to 11) with those at 30 ACH (Figures from 12 to 16). Globally, it is evident how the supplied air, exiting from inlet devices mounted even with the ceiling surface and following the velocity distribution at the exit of the inlet terminal visible in Figures 3 and 4, goes almost undisturbed towards the floor. At the level of the floor the main jet impact on it then, the flow, rises in both the central axis and wall region of the room. Part of the flow travels almost directly from intake to outlet after impinging on the floor. Another part of it, keeps enough kinetic energy to be redirected again toward the ceiling and then most likely towards exhaust grids placed on the upper side of the room. The global flow pattern remains, under isothermal conditions, almost the same by changing the flow rate from 15 to 30 ACH. This has also been evaluated by means Air Change Efficiency (ACE) results obtained by using tracer gas technique. In the whole range between the two investigated flow rates, the value of ACE is not changing along with the chosen inlet flow rate and its value is constantly equal to 50%, which testifies a perfect mixing ventilation. By increasing the inlet flow rate, from 15 to 30 ACH, a sensible augmentation in the velocity magnitude distribution is appreciable as well. Fig -7: Velocity vectors Vxz – isothermal case –Y=1,5 m – ACH=15 Fig -8: Velocity vectors Vxz – isothermal case –Y=2,0 m – ACH=15 Fig -9: Velocity vectors Vxz – isothermal case –Y=3,0 m – ACH=15 Fig -10: Velocity vectors Vxz – isothermal case –Y=4,0 m – ACH=15 Fig -11: Velocity vectors Vxz – isothermal case –Y=4,5 m – ACH=15
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 11 | Nov 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 779 Fig -12: Velocity vectors Vxz – isothermal case –Y=1,5 m – ACH=30 Fig -13: Velocity vectors Vxz – isothermal case –Y=2,0 m – ACH=30 Fig -14: Velocity vectors Vxz – isothermal case –Y=3,0 m – ACH=30 Fig -15: Velocity vectors Vxz – isothermal case –Y=4,0 m – ACH=30 Fig -16: Velocity vectors Vxz – isothermal case –Y=4,5 m – ACH=30 3. CONCLUSIONS A Laser Doppler Velocimetry technique has been successfully applied toevaluateflowfielddistributionwithin a ventilated Test Control Room (TCR). Measurements were performed under isothermal conditions with a supply flow rate corresponding to 15 and 30 ACH’s. The paper gives a detailed analysis of the air flow pattern generated by the ventilation system at each specific air flow rate. Velocity vectors distribution has been usefully employed for this purpose. Besides the experimental analysis proposed and displayed in this paper, the set of results obtained could be used to validate CFD codes end eventually, with an integrated experimental-analytical approach,tosimulate the whole flow field distribution within specific ventilated enclosures like clean rooms or operating theatres. A natural prosecution of the present work could be a more extensive and complete analysis of the aerodynamicdistributioninthe entire ventilated environment, or incharacteristicpartsofit, under specific thermal boundary conditions (i.e. a wall warmer or colder than the others) obtainable with the facilities presented. REFERENCES 1) ASHRAE. RP-1009. “Simplified Diffuser Boundary Conditions for Numerical Room Airflow Models”, Atlanta 2000. 2) Zhang, J.S., “A fundamental study of two dimensional room ventilation flows under isothermal and non-isothermal conditions”. Ph.D. thesis, University of Illinois at Urbana-Champaign, 1991. 3) Han, O., & Li, A. (2021). Velocity distributionofwall- attached jets in slotted-inlet ventilated rooms. Building and Environment, 194, 107708. https://doi.org/10.1016/j.buildenv.2021.107708 4) Carpenter, G.A., Moulsely L.G. and Randall J.M. “Ventilation investigation using a section of a
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 11 | Nov 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 780 livestock building and airflow visualization by bubbles”, J of Agri. Engng. Res. 17 (4): 323-331, 1972. 5) Nielsen, P.V., “Flow in Air Conditioned Rooms – Model Experiments and Numerical Solution of the Flow Equations”, Ph.D. thesis, Technical University of Denmark, Nordborg, Denmark. 1974. 6) Timmons, M.B., “Experimental andNumerical Study of Air Movement in Slot Ventilated Enclosures”, Ph.D. thesis, Cornell University, Ithaca, N.Y, 1979. 7) Murakami, S., and Kato, S., “Current Status of Numerical and Experimental MethodsforAnalyzing Flow Field and Diffusion Field in a Room”, Building Systems: Room Air and Air Contaminant Distribution, ASHRAE, Atlanta, 1989. 8) Zhang, J.S., “A Fundamental Study of Two Dimensional Room Ventilation Flows Under Isothermal and Non Isothermal Conditions”, Ph.D. thesis, University of Illinois at Urbana Champaign, 1991. 9) Zhao, L., Zhang, Y., Wang, X., Riskowski, G.L., and Christianson, L.L., “Development of PIV Techniques to Measure Airflow Patterns in Ventilated Airspaces”, ASHRAE Transactions 105 (2): 1098- 1107, 1999. 10) Angioletti M., Di Tommaso R.M., Martinelli S., Nino E., “Experimental investigation of three types of clean room diffusers using particle image velocimetry and laser Doppler velocimetry techniques”,International Journal ofVentilation,Vol 2 n. 2: 91-102, sept. 2003 11) Xiaodong Cao, Junjie Liu, Nan Jiang, Qingyan Chen. Particle image velocimetry measurement of indoor airflow field: A review of the technologies and applications. February 2014 Energy and Buildings 69:367-380 DOI: 10.1016/j.enbuild.2013.11.012 12) Hurnik, M., Blaszczok, M., & Popiolek, Z. (2015). Air speed and velocity measurements in a room with a sidewall jet. Data in Brief, 5, 213-217. https://doi.org/10.1016/j.dib.2015.07.035 13) Angioletti, M., Di Tommaso, R.M., Nino, E., Ruocco, G., “Flow Field Analysis in a Ventilated Large Enclosure Subject to Non-Homogeneous Boundary Conditions”, Heat Transfer Engineering, 24 (3): 1- 15, 2003. 14) J.D. Posner, C.R. Buchanam, D. Dunn-Rankin, “Measurement and prediction of indoorairflowina model room”, Energy and Buildings, Vol. 35,issue5, June 2003, pp. 515-526. 15) Hurnik, M., Blaszczok, M., & Popiolek, Z. (2015). Air speed and velocity measurements in a room with a sidewall jet. Data in Brief, 5, 213-217. https://doi.org/10.1016/j.dib.2015.07.035