Energy is an important support for the development of national economy. Accurate and convenient access to space-time dynamic information of energy consumption is of great significance for the rational formulation of energy policy. Based on the quantitative correlation between DMSP/OLS night lighting data and energy statistics, the spatial pattern of energy consumption in China from 2000 to 2013 was simulated at the prefecture-level scale. The results show that it is feasible to simulate energy consumption in different cities in China based on DMSP/OLS night lighting data, which can reliably reflect the temporal and spatial dynamics of energy consumption. This study provides a new method support for dynamic monitoring of energy consumption.

The ground source heat pump technology has been maturing. However, related project designs are mostly following intuitive experience data, and are lack of the relationship between qualification in theory and quantitation in practice. To address this issue, this platform is devised for experimental research. Using this experimental platform, one can adjust for multiple conditions in one season, continuously record energy consumption data, and determine which mode has the best effect and lower energy consumption. Based on the experimental data, the analysis and research result can be referred by practical devising of the projects, and establish the relationship between qualification in theory and quantitation in practice, making the ground source heat pump be more energy-saving, economical and environmental friendly.

High temperature air combustion technology is a new advanced combustion technology, which is energy efficient and has the dual advantages of low pollution emissions and energy conservation. This sustainable development is in line with China’s strategic objectives of energy saving. Based on the high temperature air combustion technology and environmental characteristics, the paper analyzed its heat transfer process and determined the proper commutation cycle based on the numerical model. It is indicated that combustion technology can increase the temperature of air flowing into the furnace, reduce the temperature of the flue gas emissions, and improve thermal and temperature efficiency and thus to save the fuel. It can also suppress the formation of NOx, reducing CO2 emissions and is a good environmentally friendly energy technology in industrial furnace.