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China's Net-Zero Emissions Future: Energy Structure Forecast Based on Elasticity Coefficient Regression Analysis

  • Xi'an Jiaotong University
  • State Grid Corporation of China

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Facing increasingly deteriorating ecological environments and frequent extreme natural disasters, to curb the trend of global warming, China has announced the goal to achieve carbon neutrality before 2060. The energy system, as the core of achieving the carbon neutrality goal, also requires the transition to green and low-carbon development. To predict China's future energy structure, this paper first proposes an elasticity coefficient regression forecasting method. Moreover, using this method, the trends in consumption changes of different energy types in China from 2020 to 2060 are predicted. Based on the energy structure forecast, this paper then illustrates China's energy flow diagram in 2060, demonstrating the feasibility of achieving the carbon neutrality goal and China's net-zero emissions future by 2060. Finally, pathways for the green and low-carbon transition of the energy system are provided. It requires exercising nationwide planning and making joint efforts of different sectors in various aspects and links from now on.

Original languageEnglish
Title of host publication2024 IEEE 8th Conference on Energy Internet and Energy System Integration, EI2 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages549-554
Number of pages6
ISBN (Electronic)9798331523527
DOIs
StatePublished - 2024
Event8th IEEE Conference on Energy Internet and Energy System Integration, EI2 2024 - Shenyang, China
Duration: 29 Nov 20242 Dec 2024

Publication series

Name2024 IEEE 8th Conference on Energy Internet and Energy System Integration, EI2 2024

Conference

Conference8th IEEE Conference on Energy Internet and Energy System Integration, EI2 2024
Country/TerritoryChina
CityShenyang
Period29/11/242/12/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • elasticity coefficient
  • energy structure forecast
  • net-zero emissions
  • regression analysis

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