Assessment Method for Urban Energy Carbon Emission Peak Based on Mann-Kendall Trend Test

被引:0
|
作者
Chen Y. [1 ]
Shen H. [1 ]
Wang X. [1 ]
Zhao W. [1 ]
Pan Z. [1 ]
Wang J. [1 ]
Li S. [2 ]
Han D. [2 ]
机构
[1] State Grid Shanghai Pudong Electric Power Supply Company, Shanghai
[2] Department of Electrical Engineering, University of Shanghai for Science and Technology, Shanghai
关键词
carbon peaking; energy carbon monitoring system; Mann-Kendall trend test; urban energy;
D O I
10.16183/j.cnki.jsjtu.2021.524
中图分类号
学科分类号
摘要
Energy is an important component of urban carbon emissions. Assessing the peak of urban energy carbon is a necessary means to implement the national "double carbon" strategy. For this reason, this paper proposes an energy carbon peaking assessment method based on Mann-Kendall trend test for carbon emission of urban energy. By constructing a carbon monitoring system covering elements such as energy carbon emissions, clean energy generation, and transportation electric energy substitution, the total energy carbon emissions of the city are calculated by combining historical data. In view of the seasonality and randomness of energy carbon emissions, the Mann-Kendall trend test was used to establish a model for determining urban energy carbon peaking and to measure regional carbon emissions in different periods. Taking an administrative region in Shanghai as an example, the peak status of energy carbon in this region is judged from the perspective of year and quarter. The results show that based on the annual data, the region has reached its peak energy carbon in 2020. Based on quarterly data, peak energy carbon has been achieved in summer and autumn, while spring and winter are still in plateau. The methods proposed in this paper can be used to assess the carbon peak status in the city, and provide a reference for examining the carbon peak process in other provinces and cities. © 2023 Shanghai Jiao Tong University. All rights reserved.
引用
收藏
页码:928 / 938
页数:10
相关论文
共 31 条
  • [1] HUANG Chaoming, LIU Hailong, How will the weather change along with global warming?, Journal of Shanghai Jiao Tong University, 55, pp. 72-73, (2021)
  • [2] HUANG Yitian, Evolution and prospect of International carbon trading mechanisms, Journal of Shanghai Jiao Tong University (Philosophy and Social Sciences Edition), 24, 1, pp. 28-37, (2016)
  • [3] ZHANG Hua, Can low carbon city construction reduce carbon emissions? Evidence from a quasi-natural experiment, Business Management Journal, 42, 6, pp. 25-41, (2020)
  • [4] ZHANG Senlin, Research on coordinated development of power market and carbon market based on "double carbon"goal[J], China Power Enterprise Management, 10, pp. 50-54, (2021)
  • [5] KUZNETS S., Economic growth and income inequality, American Economic Review, 45, 1, pp. 1-28, (1955)
  • [6] GUO Zhiling, Study on peak prediction of carbon emission and control strategies in Gansu Province[D], (2015)
  • [7] HONG Jingke, LI Yuanchao, CAI Weiguang, Simulating China's carbon emission peak path under different scenarios based on RICE-LEAP model, Resources Science, 43, 4, pp. 639-651, (2021)
  • [8] LI Gengxin, HU Chun, MEI Yunjun, Et al., Study on the spatiotemporal characteristics and impact factors of agricultural carbon emissions in Hubei based on Kaya Model, Journal of Green Science and Technology, 4, pp. 217-220, (2020)
  • [9] WANG Libing, ZHANG Yun, Factors decomposition and scenario prediction of energy-related CO2 emissions in China, Electric Power Construction, 42, 9, pp. 1-9, (2021)
  • [10] WANG Jie, Study on the decoupling relationship and influencing factors of carbon emissions in China's energy-intensive industry, (2018)