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CO2 emission change in China's aviation industry: A fleet-wide index decomposition and scenario analysis

journal contribution
posted on 2023-05-12, 15:18 authored by Fei Huang, Tao ZhangTao Zhang, Qunwei Wang, Dequn Zhou

A fleet-wide index decomposition and scenario analysis model is developed to identify the influencing factors of CO2 emission change in China's aviation industry and predict CO2 emissions in multiple emission reduction scenarios through 2040. It was discovered that all aircraft types experienced operational improvements during 2009 and 2019. The fleet utilization growth resulted in the most of CO2 emission reduction. However, slowdown in fleet updates existed for most of aircraft types, and the decreased fleet fuel intensity only resulted in CO2 emission reduction in specific years. The rising air transport demand continues to be the greatest obstacle to reducing emissions. Under the baseline scenario, aviation carbon intensity can only realize the 60–65% target by 2035. With endeavours on traffic demand control and technology, aviation CO2 emissions will peak at 123 Mt in 2035. The rapid sustainable alternative fuels substitutions will be essential for achieving China's 35–40% target before 2040.

Funding

National Natural Science Foundation of China (No. 52270183)

Interdisciplinary Innovation Foundation for Graduates of NUAA (No. KXKCXJJ202001)

China Scholarship Council (No.701(2021))

National Natural Science Foundation of China (No. 72064005)

History

School

  • Loughborough University London

Published in

Transportation Research Part D: Transport and Environment

Volume

119

Issue

2023

Publisher

Elsevier

Version

  • AM (Accepted Manuscript)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in Transportation Research Part D: Transport and Environment published by Elsevier. The final publication is available at https://doi.org/10.1016/j.trd.2023.103743. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2023-04-12

Publication date

2023-05-03

Copyright date

2023

ISSN

1361-9209

eISSN

1879-2340

Language

  • en

Depositor

Dr Tao Zhang. Deposit date: 9 May 2023

Article number

103743