Estimating Greenhouse Gas Emission Reduction Potential: An Assessment of Models and Methods for the Power Sector

Abstract

The success of the Clean Development Mechanism of the Kyoto Protocol to reduce global greenhouse gas emissions requires that there are scientifically sound and usable measurement methods for the emission baseline. Three different methods are investigated in the context of China's electrical sector: simulation with dispatch analysis, decomposition analysis, and operating and build margin analysis. It is found that dispatch analysis is the best method available as it is able to consider important regional and temporal dimensions, while decomposition analysis can help quantify the potential effects of different energy and environment policy choices.

Carbon emission from the electric power industry in Jiangsu province, China: Historical evolution and future prediction

“…Yan et al 3 adopted Generalized Divisia Index Model (GDIM) to decomposing the factors affecting carbon emissions in China's electric power industry. Steenhof 4 adopted the Laspeyres decomposition method to decomposing the influencing factors of China's electric power industry carbon emission intensity changes from 1980 to 2002 into generation mix, fossil fuel mix, energy efficiency of generation, transmission and distribution losses, and auxiliary consumption of power. Compared with the index decomposition method, there are relatively few literatures using econometric methods and structural decomposition methods to study the factors affecting carbon emissions in China's electric power industry.…”