Environmental Engineering Reference
In-Depth Information
Where:
I
¼
Environmental Impact (CO
2
emission),
P
¼
Population,
G
¼
Income (GDP).
The identity could be expressed in the form as Formula
2.5
:
¼
ð
Þ
ð
Þ
ð
Þ¼
I
P
G
=
P
E
=
G
F
=
E
P
A
T1
T2
(2.5)
Where:
I
¼
CO
2
emissions from energy consumption,
P
¼
Population,
G
¼
GDP,
E
Primary energy consumption,
(G/P)
¼
¼
Per-capita GDP or could be abbreviated as Activity
(E/G)
¼
Energy intensity of GDP or could be as T1
(F/E)
Carbon intensity of energy or could be as T2.
To analyze the effect of structural changes on carbon emissions, the Kaya
Identity was adapted as the following Formula
2.6
:
¼
!
(2.6)
X
CO
2
¼ P
Ai Ei Ii þ F Er Ir
i
Where,
CO
2
stands for carbon emissions
P stands for population
Ai stands for the GDP from the industrial sector i
Ei stands for the energy intensity of GDP in industrial sector i
Ii stands for carbon intensity of energy in industrial sector i
F stands for per capita income
Er stands for residential energy consumption of per capita income
Ir stands for carbon intensity of energy in residential sector
2.3.3 Analysis on Carbon Emissions for 11th FYP
Since no energy consumption data at the sector level for 2010 is available,
the research team of ERI only analyzed contributions on carbon emissions from
2005 to 2009.
9
Calculation results show that the dominant driving force for carbon emissions in
the country during the first 4 years of the 11th FYP was the booming per capita GDP
of the secondary industry, which contributed 41.7 % (see Fig.
2.18
), much higher
9
Study Team of Energy Research Institute [
4
].
