Environmental Engineering Reference
In-Depth Information
Table 6.2
Table for the calculation of the energy performance class of a residential building
according to the DLgs 311/06
EPI (kWh/m
2
)
Energy performance class
EPI \ 0.25
EPIL+9
A+
0.25
EPIL+9 B EPI \ 0.50
EPIL+9
A
0.50
EPIL+9 B EPI \ 0.75
EPIL+12
B
0.75
EPIL+12 B EPI \ 1.00
EPIL+18
C
1.00
EPIL+18 B EPI \ 1.25
EPIL+21
D
1.25
EPIL+21 B EPI \ 1.75
EPIL+24
E
1.75
EPIL+24 B EPI \ 2.50
EPIL+30
F
EPI C 2.50
EPIL+30
G
Table 6.3
BAC efficiency factors for thermal and electric energy for residential buildings
Single family houses, apartment block and other residential buildings
A
B
C
D
Thermal energy BAC efficiency factor f
BAC,hc
0.81
0.88
1.00
1.10
Electric energy BAC efficiency factor f
BAC,e
0.92
0.93
1.00
1.08
factors quantify differently the effects on thermal energy savings and on electrical
energy savings.
They are calculated by comparing the yearly energy consumption of a given
technical installation (ventilation, lighting, etc.) of a reference edifice (in BAC
class C) with the consumption of the same installation evaluated in the same
boundary conditions (occupation time, load profile, weather, solar irradiation, etc.)
after the installation of a Building Automation and Control system for each of the
four different classes (A, B, C, D). The BAC efficiency factors are differently
evaluated based on the use of the buildings.
The BAC efficiency factors for thermal energy (heating and cooling systems)
f
BAC,hc
and for electrical energy f
BAC,e
for residential buildings are reported in
Table
6.3
and are taken from the technical standard EN 15232.
In Fig.
6.2
the calculation methodology is detailed (Ippolito et al.
2014
), when
using the BAC factors method to evaluate the reduction of energy consumption of
a building when the BAC efficiency class is improved from a starting class 1 to a
better class 2.
In Italy the technical guide CEI 205-18 (
2011
) provides interesting tips for the
application of EN 15232.
6.3.1
Calculation of the Electric Energy Consumption
In recent years, various methodologies have been proposed to simulate the
daily load power consumption in residential homes. Many of these techniques
