Abstract
In September 2020, China proposed the achievement of the emission reduction targets of “carbon peak” and “carbon neutral” by 2030 and 2060, respectively. As an important area of energy consumption in addition to industry and transportation, the construction industry has great energy-saving potential and is gradually becoming the key to achieving China’s energy-saving and emission-reduction goals. Energy data is an important basic support for measuring carbon emissions, analyzing energy-saving potential, and formulating energy-saving targets. In order to solve the he lack of data on China’s carbon emissions, this paper uses lamplight remote sensing image data in the study. Combined with China’s eastern, central, and western regions of building carbon emissions data and the establishment of a partition of China building carbon emissions calculation model, panel data found building carbon emissions and smooth lamp brightness values between the balanced relations. After that, using the building carbon emissions models of the three regions, the building carbon emissions of 30 provinces, 360 cities, and 2778 counties in China were measured, and the changing trends and temporal and spatial directions of building carbon emissions at three spatial scales were analyzed. The results showed that although the total carbon emissions of civil buildings in China has been increasing year by year, its average annual growth rate is gradually slowing down. In addition, the temporal and spatial development directions of carbon emissions from buildings of different spatial scales are basically the same, and they all show a trend of shifting to the east.
Highlights
Building is an important energy consumption field in China, and its carbon emissions are continuing to rise
With the acceleration of urbanization, a large amount of energy will be used in the building sector, and building energy consumption will continue to grow, which will be followed by continuous growth in carbon emissions
This paper aims to combine lighting remote sensing image data, energy statistics data, and geographic vector data, and to use panel data models to analyze the correlation between lighting brightness and building carbon emissions, constructing building carbon emissions data estimation models in eastern, central, and western regions of China
Summary
Building is an important energy consumption field in China, and its carbon emissions are continuing to rise. Research shows that in 2017, the total civil construction area in. China reached 60.1 billion m2 , and the urban civil construction area accounted for 61.9%. In 2017, China’s total carbon emissions from buildings exceeded 2 billion tons of standard coal, which was about three times higher than the 668 million tons of carbon emissions in 2000, with an average annual growth rate of about 6.8% [1]. By 2050, China’s urbanization rate may exceed 70%. With the acceleration of urbanization, a large amount of energy will be used in the building sector, and building energy consumption will continue to grow, which will be followed by continuous growth in carbon emissions
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