RT - Journal Article T1 - Analysis of Effective Factors Affecting Changes in CO2 Emissions of Power Plants Sector of Iran, 1997-2008 JF - JSE YR - 2010 JO - JSE VO - 1 IS - 1 UR - http://jemr.khu.ac.ir/article-1-196-en.html SP - 135 EP - 154 K1 - Logarithmic Mean Divisia Index (LMDI) K1 - Thermal Power Plant K1 - emission Index K1 - fuel consumption. AB -   The power sector in Iran accounts for a share of 28.2 percent of the total CO2 emissions, so it is the biggest emitter of greenhouse gases. This study uses Logarithmic Mean Divisia Index (LMDI) technique to examine the role of five factors (economic growth, fuel intensity, electricity intensity, structure and quality of fuel) influencing CO2 emissions of the Power Plant sector in the period 1997-2008. Thermal efficiency and the fuel mix effects have been analyzed to determine the factors affecting changes in CO2 emissions index. The results show that the economic growth has the highest effect on the increase of CO2 emissions in the power sector during the whole period of study. Then, fuel quality effect, fuel intensity effect and the structure of production effect respectively, have influenced the growth of CO2 emissions. Changes in fuel mix have had the greatest effect on the increase of CO2 emission index, especially for the period 1387-83. Emission index displays that combined cycle power plant has the least emission index among all types of thermal power plants and hence it is the most suitable thermal power plant for the environment amongst thermal power plants . LA eng UL http://jemr.khu.ac.ir/article-1-196-en.html M3 ER -