Civil Engineering Reference
In-Depth Information
Table 13 Calculation method combinations—case study A-B
Type of intervention
Calculation method
Case study A0.a
Case study B0.b
BEST
WORST
BEST
WORST
Combination 1—Envelope refurbishment
Wall and floors external
insulation ? high-performance
windows
S
a
A
b
S
a
A
b
Thermal bridges
S
a
A
b
Heat transmission to
the ground
-
-
A
b
S
a
A
b
S
a
Temperature of the
unheated space
Combination 2—Heating system refurbishment
Condensing boiler
B1
c
B2
c
T23
c
B2
c
Generation losses
S
a
A
b
A
b
S
a
Insulation of the distribution
system ? control improvement
Distribution losses
St
d
St
d
St
d
S
a
Control efficiency
Combination 3 = Combination 1 + Combination 2—Global refurbishment
a
Simplified method
b
Analytical method
c
B1, B2, Table 23 method from UNI TS 11300-2
d
Standard method
Table 14
Results for the combinations
Case A
Case B
BEST
WORST
Gap (%)
BEST
WORST
Gap (%)
Combination 1
EP
H, env
53.02
90.24
41.25
23.22
39.12
40.64
EP
H
101.35
161.87
37.39
50.72
81.58
37.83
EP
gl
125.46
185.92
32.52
77.59
108.45
28.46
Class
D
D
D
E
Combination 2
g
gl
1.023
0.93
8.80
0.803
0.630
21.54
EP
H
275.74
302.44
8.83
134.63
171.60
21.54
EP
gl
295.73
324.36
8.83
163.51
220.22
18.33
Class
G
G
F
G
Combination 3
EP
H, env
90.24
53.02
41.25
23.22
39.12
40.64
g
gl
0.89
0.887
0.34
0.777
0.614
-26.55
EP
H
100.29
59.8
40.37
29.88
63.67
53.07
EP
gl
122.28
80.93
33.82
59.42
92.27
35.60
Class
D
C
C
E
7.10 Effects of Parameters Combination According
to Climatic Zone
The previous analyses have been developed considering the external condition of
Milan, which belongs to climate zone E. Considering some reference locations
shown in Table 2, further simulations have been developed in order to understand
the incidence of climatic conditions in energy performance global uncertainties
caused by different calculation methodology.
