4.7 Article

Analyzing the spatio-temporal variation of the CO2 emissions from district heating systems with Coal-to-Gas transition: Evidence from GTWR model and satellite data in China

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 803, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2021.150083

Keywords

Spatio-temporal heterogeneity; Geographically and TemporallyWeighted Regression; District heating systems; Nighttime light data; CO2 emissions

Funding

  1. National Natural Science Foundation of China [72104178]
  2. Office of Biological and Environmental Research in the U.S. Department of Energy ( U.S. DOE), Office of Science. Argonne National Laboratory [DE-AC02-06CH113 57]
  3. U.S. DOE
  4. National Key Research and Development Program: Study on Regional System of Joint Control of Regional Air Pollution Joint Defense in China [2018YFC0213600]

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The study investigates the spatio-temporal heterogeneous effects of socioeconomic and meteorological factors on CO2 emissions from district heating systems with Coal-to-Gas transition in northern China. Urbanization was found to significantly increase CO2 emissions, while meteorological factors showed negative impacts. The findings highlight the importance of considering the impacts of urbanization on CO2 emissions in future clean heating policies and climate response strategies.
Understanding the spatio-temporal heterogeneous effects of socioeconomic and meteorological factors on CO2 emissions from combinations of different district heating systems with Coal-to-Gas transition can contribute to the development of future low-carbon energy systems that are efficient and effective. This work downscales city-level CO2 emissions to a 3 x 3 km(2) gridded level in northern China during 2012 to 2018. By employing the Geographically and Temporally Weighted Regression (GTWR) model, nighttime light (NTL) data are adopted as a proxy of the level of urbanization, and the Temperature-Humidity-Wind (THW) Index is used as a proxy of meteorological factors in the downscaling model. The results showthat, for more than 85% of the cities, urbanization significantly enhances the CO2 emissions of district heating systems, while the THWIndex shows negative impacts on CO2 emissions. Significant spatial and temporal heterogeneity exists. The grids with the highest CO2 emissions from coal-fired boilers (grids with annual variation >0.59 Gg CO2/year) are mainly located in nonurban areas of the two megacities Beijing and Tianjin and also in the capital cities of each province. Urbanization has larger effects on the CO2 emissions of natural gas-fired boilers than of coal-fired boilers and combined heat and power (CHP). The average growth rate of CO2 emissions of gas-fired boilers in the urban areas of the study regions was approximately 4.7 times that of nonurban areas. The spatio-temporal heterogeneous impacts of urbanization on CO2 emissions should therefore be considered in future discussions of clean heating policies and climate response strategies. (C) 2021 Elsevier B.V. All rights reserved.

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