There is potential to significantly reduce CO2 emissions by increasing the efficiency and reducing the duty cycle of HVAC systems by using smart booster fans and dampers. Smart booster fans fit in the vents within a home, operating quietly on low power (2W) to augment HVAC systems and improve their performance. In this study, a prototype duct system is used to measure and evaluate the ability for smart booster fans and dampers to control airflow to different vents for the purpose of increasing the efficiency of HVAC systems. Four case studies were evaluated: an HVAC system (1) without any fans or dampers, (2) with a fan installed in one vent, but without any dampers, (3) with dampers installed at the vents, but without any fans, and (4) with both fan and dampers installed. The results from both the experimental and numerical evaluation show that the smart booster fan and dampers can significantly improve the airflow at a vent that is underperforming. For example, the airflow at the last vent in a ducting branch was increased from 17 to 37 CFM when a smart booster fan was installed at this vent. Results from the numerical analysis show that for the case of an underperforming vent during the winter season the HVAC running time may be reduced from 24 hr/day to 5.6 hr/day. Furthermore, results from the numerical analysis show the HVAC running time is further reduced to 4.5 hr/day for cases 3 and 4.

HVAC efficiency, smart booster fans, smart dampers, airflow at HVAC vents, HVAC duty cycles,  computational fluid dynamics (CFD)
[1]
International Energy Agency,
Energy Efficiency Indicators Highlights (2017 deition)
,
Int. Energy Agency
.
102
(
2017
), doi:
https://doi.org/10.1017/CBO9781107415324.004
. ).
[2]
Residential Sector—Energy Use Analysis,
Natural Resources Canada
,
oee.nrcan.gc.ca, 2016, http://bit.ly/2HfKso4, accessed on February 11, 2020.
[3]
Cuddihy
J.,
Kennedy
C.,
Byer
P.
,
Energy use in Canada: environmental impacts and opportunities in relationship to infrastructure systems
,
Can. J. Civ. Eng.
,
32
(
2005
), pp.
1
–
15
.
Google Scholar
Crossref
Search ADS
 
[4]
Total End-Use Sector—GHG Emissions,
Natural Resources Canada
,
oee.nrcan.gc.ca, 2016, http://bit.ly/2UG4L5T, accessed on February 11, 2020.
[5]
Ghajarkhosravi
M.,
Huang
Y.,
Fung
A.S.,
Kumar
R.,
Straka
V.
,
Energy benchmarking analysis of multi-unit residential buildings (MURBs) in Toronto, Canada
.
J. Build. Eng.
,
27
(
2020
),
100981
.
Google Scholar
Crossref
Search ADS
 
[6]
Balvers
J,
Bogers
R,
Jongeneel
R,
van Kamp
I,
Boerstra
A
and
van Dijken
F
2012
Mechanical ventilation in recently built Dutch homes: technical shortcomings, possibilities for improvement, perceived indoor environment and health effects
Archit. Sci. Rev
.
55
4
–
14
.
Google Scholar
Crossref
Search ADS
 
[7]
Goetzler,
W.
;
Guernsey,
M.
;
Young,
J.
“Research and Development Roadmap for Emerging HVAC Technologies.”
DOE Building Technologies Office
,
2014
.
Available at: http://energy.gov/sites/prod/files/2014/12/f19/Research%20and%20Development%20Roadmap%20for%20Emerging%20HVAC%20Technologies.pdf.
Google Scholar
 
[8]
Chenari
B,
Dias Carrilho
J,
Gameiro da Silva
M.
Towards sustainable, energyefficient and healthy ventilation strategies in buildings: a review
.
Renew Sustain Energy Rev
2016
:
59
:
1426
–
47
.
http://dx.doi.org/10.1016/j.rser.2016.01.074.
Google Scholar
 
[9]
Lin
Z.,
Lee,
C. K.
Fong
K. F.,
Chow
T. T.
,
Comparison of annual energy performances with different ventilation methods for temperature and humidity control
.
Energy and Buildings
43
(
2011
)
3599
–
3608
.
Google Scholar
Crossref
Search ADS
 
[10]
Clements-Croome
DJ,
Awbi
HB,
Bakó-Biró
Zs,
Kochhar
N,
Williams
M.
Ventilation rates in schools
.
Build Environ
2008
;
43
(
3
):
362e7
.
Google Scholar
Crossref
Search ADS
 
[11]
Seppänen,
O.A.
and
Fisk,
W.J.
 (
2004
),
Summary of human responses to ventilation
.
Indoor Air
,
14
:
102
–
118
. doi:
https://doi.org/10.1111/j.1600-0668.2004.00279.x
.
Google Scholar
Crossref
Search ADS
 
[12]
Jahantigh
N,
Keshavarz
A,
Mirzaee
M
 (
2013
)
Optimization of hybrid heating system of residential buildings in different climates of Iran to provide thermal comfort (in persian)
.
Mech Struct Fluids
3
:
97
–
108
.
Google Scholar
 
[13]
Delavari,
A.,
Ghassabi,
G.
&
Saffarian,
M.R.
Numerical and experimental investigation of the effect of air conditioning duct on the room temperature distribution and energy efficiency
.
J Braz. Soc. Mech. Sci. Eng.
42
,
43
(
2020
).
https://doi.org/10.1007/s40430-019-2133-9.
Google Scholar
Crossref
Search ADS
 
[14]
Fisk
W. J.
and
De Almeida
A. T.
.
Sensor-Based Demand-Controlled Ventilation: A Review
.
Energy and buildings
,
1998
.
Google Scholar
 
[15]
Nassif
N.
,
A robust CO2-based demand-controlled ventilation control strategy for multi-zone HVAC systems
,
Energy and Buildings
45
(
2012
)
72
–
81
.
Google Scholar
Crossref
Search ADS
 
[16]
Wang
J.,
Tse
N.C.F.,
Poon
T.Y.,
Chan
J.Y.C.
A Practical Multi-Sensor Cooling Demand Estimation Approach Based on Visual, Indoor and Outdoor Information Sensing
.
Sensors
.
2018
;
18
:
3591
. doi:
https://doi.org/10.3390/s18113591
.
Google Scholar
Crossref
Search ADS
 
[17]
Huang
H.,
Chen
L.,
Mohammadzaheri
M.,
Hu
E.
,
A new zone temperature predictive modeling for energy saving in buildings
,
Procedia Engineering
49
(
2012
)
142
–
151
.
Google Scholar
Crossref
Search ADS
 
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Author notes

1. Department of Mechanical Engineering, Lassonde School of Engineering, York University 4700 Keele St., Toronto, ON, M3J 1P3, Canada