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Paper Submitted to:
ENERGY AND BUILDINGS
Paper Title:
Developing a Decision Aid for Selecting Low-carbon Refurbishment
Solutions for Multi-story Residential Buildings for Subtropical Cities
Jun Li a, S. Thomas Ng a,* and Martin Skitmore b
Department of Civil Engineering, The University of Hong Kong, Pokfulam, Hong Kong
School of Civil Engineering and Built Environment, Queensland University of Technology,
GPO Box 2434, Brisbane, Q4001, Australia
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Developing a Decision Aid for Selecting Low-carbon Refurbishment
Solutions for Multi-story Residential Buildings in Subtropical Cities
ABSTRACT
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1. Introduction
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2. Literature review
2.1. Overview of sustainable refurbishment
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3. Methodology
3.1. Identification of sustainable refurbishment solutions
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4.1. System architecture
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< Figure 2 >
4.2. Emission assessment methods and input / output variables
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4.5. Validation
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Acknowledgements
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766
767
768
769
Table 1: Methods of calculating the energy savings of the sustainable refurbishment solutions
Refurbishment
solutions
Formula of calculating annual energy saving Reference
&0
E=∑P× N × H × <-- ÷/<<<
1XJ#GK*"X1
0JGK*X0* X
?4,@
:
E=∑P× N × H × <(( ÷/<<<
1XJ#GK*"X1
JGK*X* X
?&<@
0
0
E=∑P× N × H × <(& ÷/<<<
1XJ#GK*"X1
00JGK*X* X
?&(@
00
E=∑P× N × H × <'& ÷/<<<
1XJ#GK*"X1
0JGK*X* X
?&%@
E=∑P× N × H ÷ /<<<
1XJ#GK*"X1
JGK*X0* X0
6J0
00K
D
E=∑P× N ×'4 ×-)&×<- ÷/<<<=∑P × N × ')'%
1XJ#GK*"X1
JGK*X0
?&,@
:11
E=∑E<× P ×<'
1XJ#GK*<X
0J#GK*00
<1'
?&,@
:1
0RRR2
90
E=∑E<× P ×<4
1XJ#GK*<X
0J#GK*00
<1'
?)<@
"
E=∑E<× P ×<'
?&,@
-,
770
771
772
0
1XJ#GK*<X
0J#GK*
00<1'
>
E=Etotal ×</
1XJ#GK*X
0J#GK*
?)/@
;
00
F
0
E=∑P× N × H ÷ /<<<
1XJ#GK*"X1
JGK*X0* X0
6J0
00K
"0
E=A ×/'< ×<% ÷0 '' °=A ×/<4-
1XJ#GK*6XJ'K
?)'@
10
E=∑P× N × H ÷ /<<<
1XJ#GK*"X1
JGK*X0* X0
6J0
00K
;01
1
00
E=∑P× N × H × <<'
1XJ#GK*"X1
J#GK*X* X
?)-@
0
E=Etotal ×<' ×<<&
1XJ#GK*X
0J#GK
?)4@
E=Etotal ×<</%
1XJ#GK*X
0J#GK
?)&@
A12
1
1
E=Etotal ×<& ×</(
1XJ#GK*X
0J#GK
?))@
;0
001
E=No×&&' ×∆ T × 4' ×/<-× D ÷
(
-) ×/<)
)
=∆ T × N o× D × <<)44
1XJ#GK*X
00*
∆ T
X0J
℃
K*X
1
?)(@
0
00
E=Etotal ×
(
<' ×</&+</)×<'&
)
=Etotal ×<<(
1XJ#GK*X
?)%@
4<
0 0J#GK
0
0#
E=Etotal ×<'&( ×<-=Etotal ×<<((
1XJ#GK*X
0J#GK
?),@
4/
773
774
775
Table 2: Method of calculating the annual consumption of lifts
Type Number of lifts Annual energy consumption
(kWh)
N<3 N>=3
6
0
!/X/)!'X<& !/X/)!'X<- <X!/Y!'Y<-&Y Y
'<<<<<Y"ZJ-)<<Y'K
1<X
0J#GK* X
JK
R
50
!/X/<!'X<& !/X/<!'X<-
"1
!/X<)!'X<& !/X<)!'X<-
"
0
6 6
Source: Nipkow & Schalcher, 2006 ?(<@
4'
776
777
778
779
780
781
782
Table 3: Overall emission reductions per flat of the refurbishment solutions in private-
occupied area
Refurbishment
solutions
Operational
energy
savings
(kWh)
Operational
emission
reduction
(kg CO2)
Embodied
carbon
emission
(kg CO2)
Annual
emission
reduction
(kg CO2)
Percentage
of total
emission
(%)
0 4% -% -% /'<
F '' /( <<<4 /( <&-
;0F 44 -4 <<<4 -4 /<(
8
F
-/ '& <</' '& <(,
%) )% )% '/4
A121
1
4<% -'' -'' /</-
;0
00
1
--) ')) ')) %-(
;0
03
/%( /4% /4% 4))
0
000
--) ')& ')& %-4
00# -,( -/- -/- ,%&
Total 1895 1496 0.02 1496 47.07
4-
783
784
785
786
787
788
789
Table 4: Numerical inputs for emission estimation
Common area Private-occupied area
: 90
Power (W) "1JGK Power (W)
Number Number
Daily operation hours ;0 Daily operational hours
: D :
Power (kW) Power (W) Power (W)
Height of building (m) Number Number
Number Reduced operation hours Daily operational hours
" ;J'K 1J℃K
Power (kW) 60 220J℃K
Number Public zone (kWh) 00
10 Private zone (kWh) 60
Power (W) Electricity (kWh)
Number Gas (KJ)
Reduced operation hours Water (m3)
44
790
791
792
793
794
795
Table 5: Non-numerical inputs for refurbishment in common areas
Item Options (fixtures that are already
in place)
Rules for selecting solutions
6 %/'0
H &0
A00
00
J9:K
:
6A60
01&0A
0019:
:0
6 D
H 00
A6001
000
6 0
H R
50JRRR9K
"1
"0
A6001
0A
H0
00
6
H 00
A6001
000
10
D
>
7
R0
;
00
"0
6
H
"10 6 #00
J K
H :C"1J:"K
010
0010
0
4&
796
797
798
799
800
Table 6: Non-numerical inputs for refurbishment in privately-occupied area
Item Options (fixtures that are already
in place)
Rules for selecting solutions
90 6 %/'0
H &0
A6001&
0
H 6 D
H 00
A6001
000
: 6 A00
H 00
J9:K
:
A60019:
:0
G 6 00
H 7
A600
1
# 6 >
H A00#
A6001
00#0
6
H
"10 6 #00
J K
H :C"1J:"K
010
0010
0
4)
801
802
803
804
805
Table 7: Profile of the interviewees
Interviewee ID Position Organization
>/ D0 >
>' 0 >
>- H0 >
/ +00
6/ 60" 600
6' 6" 600
4(
806
807
808
809
810
Table 8: Scope of the privately-occupied and common areas
Name Scope Example Refurbishment initiator
Private buildings Public buildings
"200
:
#0
71
+0
0
0
713
0
>
4%
811
812
813
814
815
816
817
Table 9: Results of validation
Criteria Rating of interviewees Mean
G1 G2 G3 C1 A1 A2
"
& 4 4 4 4 4 4/(
A 4 4 4 - ' - ---
6
6000 4 - - 4 - - ---
0 4 4 4 & 4 4 4/(
0
2 4 - 4 - 4 - -&<
4,
818
819
820
821
822