This research is to assess effects of a partition on thermal comfort, indoor air quality (IAQ), energy consumption, and perception in an air-conditioned space via computational fluid dynamics (CFD) analysis. The variables of indoor air are numerically determined before/after installation/removal of a partition. Accordingly, predicted mean vote (PMV) of thermal comfort, carbon dioxide concentration, rate of energy consumption in making up air, and an overall perception index are proposed to quantify effects in a partitioned space. For a case study, a partition is used to tightly separate a study area from a rest area in a library during peak time. The CFD analysis is performed so that the mean differences between the measured and simulated variables at 14 locations are less than 5%. After partitioning in the CFD analysis, it is found that the average PMV value decreases to −1.4 in the rest area, and it remains at −0.7 in the study area where occupants perceive a slightly cool sensation. In the study area, the carbon dioxide concentration increases to 450–500 ppm, while the rate of energy consumption increases by 8.3%. From the overall perception index of 0.9, the occupants feel spacious in the partitioned areas. Therefore, installing the partition is encouraged with the recommendation that cooling supply can be reduced for energy savings. It is apparent that the proposed methodology yields quantitative indicators for decision making of installation/removal of partitions. The interior investigation of partitions in buildings can be performed before making real physical changes.

References

References
1.
Woodcock
,
A.
, and
Custovic
,
A.
,
1998
, “
ABC of Allergies: Avoiding Exposure to Indoor Allergens
,”
BMJ
,
316
(
7137
), pp.
1075
1078
.
2.
Henriott
,
J. M.
, and
Underwood
,
R. A.
,
1994
, “
Work Space Partition System
,”
U.S. Patent No. US5309686 A
.
3.
Chu
,
C. R.
,
Chiu
,
Y. H.
, and
Wang
,
Y.-W.
,
2010
, “
An Experimental Study of Wind-Driven Cross Ventilation in Partitioned Buildings
,”
Energy Build.
,
42
(
5
), pp.
667
673
.
4.
Cao
,
Q.
, and
He
,
X. G.
,
1994
, “
Cross-Ventilation and Room Partitions: Wind Tunnel Experiments on Indoor Airflow Distribution
,”
ASHRAE Trans.
,
100
(
2
), pp.
208
219
.
5.
Lee
,
H.
, and
Awbi
,
H. B.
,
2004
, “
Effect of Internal Partitioning on Indoor Air Quality of Rooms With Mixing Ventilation—Basic Study
,”
Build. Environ.
,
39
(
2
), pp.
127
141
.
6.
Hall
,
E.
,
1966
,
The Hidden Dimension: Man's Use of Space in Public and Private
,
Bodley Head
,
London
.
7.
Stamps
,
A. E.
,
2008
, “
On Shape and Spaciousness
,”
Environ. Behav.
,
41
(
4
), pp.
526
548
.
8.
Heidarinejad
,
G.
,
Fathollahzadeh
,
M. H.
, and
Pasdarshahri
,
H.
,
2015
, “
Effects of Return Air Vent Height on Energy Consumption, Thermal Comfort Conditions and Indoor Air Quality in an Under Floor Air Distribution System
,”
Energy Build.
,
97
(
15
), pp.
155
161
.
9.
Bojic
,
M.
,
Yik
,
F.
, and
Lo
,
T.
,
2002
, “
Locating Air-Conditioners and Furniture Inside Residential Flats to Obtain Good Thermal Comfort
,”
Energy Build.
,
34
(
7
), pp.
745
751
.
10.
Karimipanaha
,
T.
,
Awbib
,
H. B.
,
Sandbergc
,
M.
, and
Blomqvistc
,
C.
,
2007
, “
Investigation of Air Quality, Comfort Parameters and Effectiveness for Two Floor-Level Air Supply Systems in Classrooms
,”
Build. Environ.
,
42
(
2
), pp.
647
655
.
11.
Dassault Systèmes
,
2013
, “
Solidworks Flow Simulation Technical Reference
,” Dassault Systèmes SolidWorks Corp., Waltham, MA.
12.
Van Hoof
,
J.
,
Mazej
,
M.
, and
Hensen
,
J. L.
,
2010
, “
Thermal Comfort: Research and Practice
,”
Front. Biosci.
,
15
(
2
), pp.
765
788
.
13.
Teli
,
D.
,
Jentsch
,
M. F.
, and
James
,
P. A.
,
2012
, “
Naturally Ventilated Classrooms: An Assessment of Existing Comfort Models for Predicting the Thermal Sensation and Preference of Primary School Children
,”
Energy Build.
,
53
, pp.
166
182
.
14.
Fanger
,
P. O.
,
1970
,
Thermal Comfort: Analysis and Applications in Environmental Engineering
,
Danish Technical Press
,
Copenhagen, Denmark
.
15.
ASHRAE
,
2004
, “
Thermal Environmental Conditions for Human Occupancy
,” American Society of Heating, Refrigerating, and Air-Conditioning Engineers, Inc., Atlanta, GA, Standard No. 55-2004.
16.
Prill
,
R.
,
2000
, “
Why Measure Carbon Dioxide Inside Buildings?
,”
Washington State University
, Pullman, WA.
17.
Mendell
,
M. J.
, and
Heath
,
G. A.
,
2005
, “
Do Indoor Pollutants and Thermal Conditions in Schools Influence Student Performance? A Critical Review of the Literature
,”
Indoor Air
,
15
(
1
), pp.
27
52
.
18.
Daisey
,
J. M.
,
Angell
,
W. J.
, and
Apte
,
M. G.
,
2003
, “
Indoor Air Quality, Ventilation and Health Symptoms in Schools: An Analysis of Existing Information
,”
Indoor Air
,
13
(
1
), pp.
53
64
.
19.
ASHRAE
,
1989
, “
Ventilation for Acceptable Indoor Air Quality
,” American Society of Heating, Refrigerating, and Air-Conditioning Engineers, Inc., Atlanta, GA, Standard No. 62-1999.
20.
ASHRAE, and U.G.B. Council
,
2004
, “
62.1 User's Manual: ANSI/ASHRAE Standard 62.1-2004—Ventilation for Acceptable Indoor Air Quality
,” American Society of Heating, Refrigerating, and Air-Conditioning Engineers, Atlanta, GA.
21.
Lorsch
,
H. G.
, and
Abdou
,
O. A.
,
1994
, “
The Impact of the Building Indoor Environment on Occupant Productivity—Part 1: Recent Studies, Measures, and Costs
,”
ASHRAE Trans.
,
100
(
2
), pp.
741
749
.
22.
Frontczak
,
M.
,
Schiavon
,
S.
,
Goins
,
J.
,
Arens
,
E.
,
Zhang
,
H.
, and
Wargocki
,
P.
,
2012
, “
Quantitative Relationships Between Occupant Satisfaction and Satisfaction Aspects of Indoor Environmental Quality and Building Design
,”
Indoor Air
,
22
(
2
), pp.
119
131
.
23.
Bharucha-Reid
,
R.
, and
Kiyak
,
H. A.
,
1982
, “
Environmental Effects on Affect: Density, Noise and Personality
,”
Popul. Environ.
,
5
(
1
), pp.
60
72
.
24.
Järvinen
,
E. J.
,
1994
,
Space Perception
,
Encyclopædia Britannica
,
Chicago, IL
.
25.
Hall
,
E. T.
,
1963
, “
A System for the Notation of Proxemic Behavior
,”
Am. Anthropologist
,
65
(
5
), pp.
1003
1026
.
You do not currently have access to this content.