Papers by Keyword: Coal Consumption

Abstract: Exploratory Spatial Data Analysis was used to analyze the evolvement of spatia1 pattern on coal consumption in China since 2002. General spatial autocorrelation of coal consumption in 31 provinces of China was analyzed by Morans I and Getis-Ord General G. Getis-0rd Gi* was used to test the local spatial dependence, identifying the spatial distribution of hot spots and cold spots. The results show that coal consumption per capita of 31 provinces in China exhibits an enhanced trend of spatial autocorrelation. The areas with similar level of coal consumption are clustered in space. The coal consumption activity can be affected by the neighborhoods and their own regions. Hotspot areas are mainly concentrated in North and Northeast China and continuously increase with time, coldspot areas are mainly concentrated in South China and constantly decrease by time. So government needs to consider the spatial interaction mechanism of coal consumption when establishing the energy management policy.

Abstract: Energy consumption is in support of economic development, at the same time it also results in the pollution of the environment inevitably. With the increasing of contradiction of energy supply and demand, and the serious pollution of the environment, it restricts the development of economy. In order to achieve the “Twelfth Five-Year energy planning” target, we must control the energy consumption, to implement energy-saving and emission reduction measures .Based on Chinese energy consumption status, this paper focuses on the Beijing’s energy consumption, analyzes energy consumption influences factors and the relationships among them. At the same time, this paper abstracts the model of economic and environmental on the energy consumption for the complicated relationship. Also it establishes a comprehensive multidimensional Beijing city energy consumption policy simulation and control model, pro-vides energy consumption analysis and regulation of different level and the angle respectively, covers major regulation and control means in relation to the energy consumption. On the basis of analysis of influence factors, we do the mathematical simulation and prediction between them. The results show that the prediction value is very good, the error is small. Therefore, this conclusion proves that our energy consumption control of construction model is scientific.

Abstract: This paper presented coal consumption of electricity generation in Qingdao, Shandong Province, under different energy scenarios with LEAP 2010. And, time-serial emission inventory of As was also built based on fuel consumptions. The results show that the coal consumption will increase by 3.5 times ,amounting to 4.92 million tces under BAU scenario. The total emission of As is 2.7 Mtces with an average annual growth rate of 6.6%.

Abstract: Introduced the theory of the Energy loss analysis and lots of Energy loss analysis methods and utilized the basic formula method to analysis the influence of some operation parameters of a foreign designed 300MW coal-fired power plant to coal consumption in the variety loads. Applied matlab to make a figure, which contained the influence of some operation parameters of a foreign designed 300MW coal-fired power plant to coal consumption in the variety loads. Compared analysis the results, and gained the energy saving direction, so it conducted the operation of these units and optimized it.