| |
 |
Intermittent personalized
ventilation coupled with mixing ventilation for
occupant protection against active and passive contaminants and
energy savings
D. Al Assaad, C. Habchi, K.
Ghali and N. Ghaddar
2018/04/20
|

Abstract
An intermittent personalized ventilation
PVMmodule (PVMM) coupled with a conventional mixing
ventilation system (MV) was studied to investigate its ability in protecting
occupants from indoor contaminants. This study examines the intermittent
PVM operating frequency range that minimizes active and passive contaminant
concentration near the occupant and nearby surfaces. A 3D CFD model of
a typical office space was developed for this study and validated through
experiments done in a climatic chamber. Simulations were performed under
different typical indoor frequencies (0.3 Hz, 0.5 Hz and 1 Hz) and a typical
personalized ventilation average flow rate (7.5 L/s). The space was considered
to be infected with CO2 and particles of diameter 1 ìm. Results
showed that under a frequency range of [0.78 Hz 0.94 Hz], the intermittent
PVM was able to provide good occupant protection with a satisfactory ventilation
efficiency of around 77%, intake fraction range of
[11.8 %, 26.8 %] and a deposition fraction range of [7.5 %, 8.75 %]. Moreover,
the system was able to reduce energy costs by 16.1 % compared to steady
state personalized ventilator.
| Published in: Renewable Energy
& Power Quality Journal (RE&PQJ, Nº. 16) |
| Pages: 407-412 |
Date of Publication: 2018/04/20 |
| ISSN: 2172-038X |
Date of Current Version:2018/03/23 |
| REF: 326-18 |
Issue Date: April 2018 |
| DOI:10.24084/repqj16.326 |
Publisher: EA4EPQ |
Authors and affiliations
D. Al Assaad1, C. Habchi2 K. Ghali1 and N. Ghaddar1
1. Department of Mechanical Engineering. American University of Beirut.
Lebanon
2. Department of Mechanical Engineering. Lebanese University, Branch II.
Roumieh, Lebanon
Key words
Personalized ventilation, mixing ventilation, intermittent,
contaminants
References
[1] Höppe, P., & Martinac, I. (1998). Indoor
climate and air quality. International journal of biometeorology, 42(1),
1-7.
[2] Gold, D. R. (1992). Indoor air pollution. Clinics in chest medicine,
13(2), 215-229.
[3] https://www.epa.gov/indoor-air-topics
[4] Jaakkola, J. J., & Heinonen, O. P. (1995). Shared office space
and the risk of the common cold. European
Journal of Epidemiology, 11(2), 213-216.
[5] Chakroun, W., Ghaddar, N., & Ghali, K. (2011). Chilled ceiling
and displacement ventilation aided with personalized evaporative cooler.
Energy and buildings, 43(11), 3250-3257.
[6] Habchi, C., Ghali, K., Ghaddar, N., Chakroun, W., & Alotaibi,
S. (2016). Ceiling personalized ventilation combined with desk fans for
reduced direct and indirect cross-contamination and efficient use of office
space. Energy Conversion and Management, 111, 158-173.
[7] Kaczmarczyk, J., Melikov, A., & Fanger, P. O. (2004). Human response
to personalized ventilation and mixing ventilation. Indoor Air, 14(s8),
17-29.
[8] Makhoul, A., Ghali, K., & Ghaddar, N. (2013). Thermal comfort
and energy performance of a lowmixing ceiling-mounted personalized ventilator
system. Building and Environment, 60, 126-136.
[9] Melikov, A. K. (2004). Personalized ventilation. Indoor Air, 14(s7),
157-167.
[10] Melikov, A. K., Cermak, R., & Majer, M. (2002). Personalized
ventilation: evaluation of different air terminal devices. Energy and
buildings, 34(8), 829-836.
[11] Huang, L., Ouyang, Q., & Zhu, Y. (2012). Perceptible airflow
fluctuation frequency and human thermal response. Building and Environment,
54, 14-19.
[12] Al-Assaad, D., Ghaddar, N., & Ghali, K. (2017, July). Performance
of Mixing Ventilation System Coupled With Dynamic Personalized Ventilator
for Thermal Comfort. In ASME 2017 Heat Transfer Summer Conference (pp.
V001T04A001-V001T04A001). American Society of Mechanical Engineers.
[13] Hweij, W. A., Ghaddar, N., Ghali, K., & Habchi, C. (2016). Optimized
performance of displacement ventilation aided with chair fans for comfort
and indoor air quality. Energy and Buildings, 127, 907-919.
[14] http://www.ansys.com/Products/Fluids/ANSYSFluent
[15] Liu, Y., Li, H., & Feng, G. (2017, February). Simulation of inhalable
aerosol particle distribution generated from cooking by Eulerian approach
with RNG kepsilon turbulence model and pollution exposure in a residential
kitchen space. In Building Simulation(Vol. 10, No. 1, pp. 135-144). Tsinghua
University Press.
[16] Makhoul, A., Ghali, K., Ghaddar, N., & Chakroun, W. (2013). Investigation
of particle transport in offices equipped with ceiling-mounted personalized
ventilators. Building and Environment, 63, 97-107.
[17] Habchi, C., Ghali, K., Ghaddar, N., & Shihadeh, A. (2015). Chair
fan-enhanced displacement ventilation for high IAQ: effects on particle
inhalation and stratification height. Building and Environment, 84, 68-79.
[18] Zhang, H., Arens, E., Huizenga, C., & Han, T. (2010). Thermal
sensation and comfort models for non-uniform and transient environments:
Part I: Local sensation of individual body parts. Building and Environment,
45(2), 380-388.
[19] Zhang, H., Arens, E., Huizenga, C., & Han, T. (2010). Thermal
sensation and comfort models for non-uniform and transient environments,
part II: Local comfort of individual body parts. Building and Environment,
45(2), 389-398.
[20] Zhang, H., Arens, E., Huizenga, C., & Han, T. (2010). Thermal
sensation and comfort models for non-uniform and transient environments,
part III: Whole-body sensation and comfort. Building and Environment,
45(2), 399-410.
[21] Keblawi, A., Ghaddar, N., Ghali, K., & Jensen, L. (2009). Chilled
ceiling displacement ventilation design charts correlations to employ
in optimized system operation for feasible load ranges. Energy and Buildings,
41(11), 1155-1164.

|
|