Using Decomposition Analysis to Determine the Main Contributing Factors to Carbon Neutrality across Sectors
This paper uses decomposition analysis to investigate the key contributions to changes in greenhouse gas emissions in different scenarios. We derive decomposition formulas for the three highest-emitting sectors: power generation, industry, and transportation (both passenger and freight). These formu...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-12-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/15/1/132 |
_version_ | 1797499155280560128 |
---|---|
author | Hsing-Hsuan Chen Andries F. Hof Vassilis Daioglou Harmen Sytze de Boer Oreane Y. Edelenbosch Maarten van den Berg Kaj-Ivar van der Wijst Detlef P. van Vuuren |
author_facet | Hsing-Hsuan Chen Andries F. Hof Vassilis Daioglou Harmen Sytze de Boer Oreane Y. Edelenbosch Maarten van den Berg Kaj-Ivar van der Wijst Detlef P. van Vuuren |
author_sort | Hsing-Hsuan Chen |
collection | DOAJ |
description | This paper uses decomposition analysis to investigate the key contributions to changes in greenhouse gas emissions in different scenarios. We derive decomposition formulas for the three highest-emitting sectors: power generation, industry, and transportation (both passenger and freight). These formulas were applied to recently developed 1.5 °C emission scenarios by the Integrated Model to Assess the Global Environment (IMAGE), emphasising the role of renewables and lifestyle changes. The decomposition analysis shows that carbon capture and storage (CCS), both from fossil fuel and bioenergy burning, renewables and reducing carbon intensity provide the largest contributions to emission reduction in the scenarios. Efficiency improvement is also critical, but part of the potential is already achieved in the Baseline scenario. The relative importance of different emission reduction drivers is similar in the OECD (characterised by relatively high per capita income levels and emissions) and non-OECD (characterised by relatively high carbon intensities of the economy) region, but there are some noteworthy differences. In the non-OECD region, improving efficiency in industry and transport and increasing the share of renewables in power generation are more important in reducing emissions than in the OECD region, while CCS in power generation and electrification of passenger transport are more important drivers in the OECD region. |
first_indexed | 2024-03-10T03:43:24Z |
format | Article |
id | doaj.art-5bd09b2774e84d5fa1715bf75f376cc3 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T03:43:24Z |
publishDate | 2021-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-5bd09b2774e84d5fa1715bf75f376cc32023-11-23T11:26:02ZengMDPI AGEnergies1996-10732021-12-0115113210.3390/en15010132Using Decomposition Analysis to Determine the Main Contributing Factors to Carbon Neutrality across SectorsHsing-Hsuan Chen0Andries F. Hof1Vassilis Daioglou2Harmen Sytze de Boer3Oreane Y. Edelenbosch4Maarten van den Berg5Kaj-Ivar van der Wijst6Detlef P. van Vuuren7PBL Netherlands Environmental Assessment Agency, 2594 AB The Hague, The NetherlandsPBL Netherlands Environmental Assessment Agency, 2594 AB The Hague, The NetherlandsPBL Netherlands Environmental Assessment Agency, 2594 AB The Hague, The NetherlandsPBL Netherlands Environmental Assessment Agency, 2594 AB The Hague, The NetherlandsCopernicus Institute of Sustainable Development, Faculty of Geosciences, Utrecht University, 3584 CB Utrecht, The NetherlandsPBL Netherlands Environmental Assessment Agency, 2594 AB The Hague, The NetherlandsPBL Netherlands Environmental Assessment Agency, 2594 AB The Hague, The NetherlandsPBL Netherlands Environmental Assessment Agency, 2594 AB The Hague, The NetherlandsThis paper uses decomposition analysis to investigate the key contributions to changes in greenhouse gas emissions in different scenarios. We derive decomposition formulas for the three highest-emitting sectors: power generation, industry, and transportation (both passenger and freight). These formulas were applied to recently developed 1.5 °C emission scenarios by the Integrated Model to Assess the Global Environment (IMAGE), emphasising the role of renewables and lifestyle changes. The decomposition analysis shows that carbon capture and storage (CCS), both from fossil fuel and bioenergy burning, renewables and reducing carbon intensity provide the largest contributions to emission reduction in the scenarios. Efficiency improvement is also critical, but part of the potential is already achieved in the Baseline scenario. The relative importance of different emission reduction drivers is similar in the OECD (characterised by relatively high per capita income levels and emissions) and non-OECD (characterised by relatively high carbon intensities of the economy) region, but there are some noteworthy differences. In the non-OECD region, improving efficiency in industry and transport and increasing the share of renewables in power generation are more important in reducing emissions than in the OECD region, while CCS in power generation and electrification of passenger transport are more important drivers in the OECD region.https://www.mdpi.com/1996-1073/15/1/132net-zero emissiondecomposition analysismitigationintegrated assessmentshared socioeconomic pathwaysclimate change |
spellingShingle | Hsing-Hsuan Chen Andries F. Hof Vassilis Daioglou Harmen Sytze de Boer Oreane Y. Edelenbosch Maarten van den Berg Kaj-Ivar van der Wijst Detlef P. van Vuuren Using Decomposition Analysis to Determine the Main Contributing Factors to Carbon Neutrality across Sectors Energies net-zero emission decomposition analysis mitigation integrated assessment shared socioeconomic pathways climate change |
title | Using Decomposition Analysis to Determine the Main Contributing Factors to Carbon Neutrality across Sectors |
title_full | Using Decomposition Analysis to Determine the Main Contributing Factors to Carbon Neutrality across Sectors |
title_fullStr | Using Decomposition Analysis to Determine the Main Contributing Factors to Carbon Neutrality across Sectors |
title_full_unstemmed | Using Decomposition Analysis to Determine the Main Contributing Factors to Carbon Neutrality across Sectors |
title_short | Using Decomposition Analysis to Determine the Main Contributing Factors to Carbon Neutrality across Sectors |
title_sort | using decomposition analysis to determine the main contributing factors to carbon neutrality across sectors |
topic | net-zero emission decomposition analysis mitigation integrated assessment shared socioeconomic pathways climate change |
url | https://www.mdpi.com/1996-1073/15/1/132 |
work_keys_str_mv | AT hsinghsuanchen usingdecompositionanalysistodeterminethemaincontributingfactorstocarbonneutralityacrosssectors AT andriesfhof usingdecompositionanalysistodeterminethemaincontributingfactorstocarbonneutralityacrosssectors AT vassilisdaioglou usingdecompositionanalysistodeterminethemaincontributingfactorstocarbonneutralityacrosssectors AT harmensytzedeboer usingdecompositionanalysistodeterminethemaincontributingfactorstocarbonneutralityacrosssectors AT oreaneyedelenbosch usingdecompositionanalysistodeterminethemaincontributingfactorstocarbonneutralityacrosssectors AT maartenvandenberg usingdecompositionanalysistodeterminethemaincontributingfactorstocarbonneutralityacrosssectors AT kajivarvanderwijst usingdecompositionanalysistodeterminethemaincontributingfactorstocarbonneutralityacrosssectors AT detlefpvanvuuren usingdecompositionanalysistodeterminethemaincontributingfactorstocarbonneutralityacrosssectors |