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The role of energy intensity improvement in the AR4 GHG stabilization scenarios

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Abstract

This study analyzes the role of energy intensity improvement in the short term (to the year 2020) and midterm (to the year 2050) in the context of long-term greenhouse gases (GHG) stabilization scenarios. The data come from the latest Emissions Scenarios Database and were reviewed in the Fourth Assessment Report (AR4) by the Intergovernmental Panel on Climate Change. In this study, quantitative decomposition analyses using the extended Kaya identity are applied to the stabilization scenarios in Categories I to IV of Table SPM.5 in the AR4. Furthermore, quantitative decomposition analyses of Category IV scenarios are conducted for major GHG-emitting countries, such as the USA, Western Europe, China, and India, by utilizing the large number of reports in the database. This study provides in-depth analyses of the relationship between energy intensity improvement and other major indicators. One finding is that energy intensity improvement plays an important role in the short term, and the rate of energy intensity improvement is assumed to be around 2% per year as a median value across Categories I–III in the midterm on the global scale. However, achieving stringent stabilization levels requires various other measures regarding the use of less-carbon intensive fossil fuels, the shift to non-fossil fuel energies, and advanced technologies such as carbon capture and storage.

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Notes

  1. The database is supported by the Center for Global Environmental Research (CGER), National Institute for Environmental Studies (NIES).

  2. In the database, “baseline scenario” and “mitigation scenario” are defined as follows. According to the IPCC, scenarios are described as “alternative images of how the future might unfold and an appropriate tool with which to analyze how driving forces may influence future emission outcomes and to assess the associated uncertainties” (IPCC 2000) surrounding climate change. A baseline (or reference) scenario is described as “a non-intervention scenario used as a base in the analysis of intervention scenarios,” and a mitigation (or intervention) scenario is described as “a description and a quantified projection of how GHG emissions can be reduced in comparison to respective baseline scenarios” (IPCC 2001).

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Acknowledgements

The Emissions Scenarios Database has been supported by the Center for Global Environmental Research (CGER), National Institute for Environmental Studies (NIES), Japan. We acknowledge the generosity of this fund. We would like to thank all of the corresponding authors who kindly submitted the relevant data reviewed by the IPCC AR4, which were added to the latest Emissions Scenarios Database. We would also like to thank Prof. Nebojsa Nakicenovic, Dr. Keywan Riahi, and Mr. Peter Kolp at the International Institute for Applied Systems Analysis, Laxenburg, Austria, who helped us to collect the data on emissions and the mitigation scenarios.

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Hanaoka, T., Kainuma, M. & Matsuoka, Y. The role of energy intensity improvement in the AR4 GHG stabilization scenarios. Energy Efficiency 2, 95–108 (2009). https://doi.org/10.1007/s12053-009-9045-y

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