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Role of end-use technologies in long-term GHG reduction scenarios developed with the BET model

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  • Hiromi Yamamoto
  • Masahiro Sugiyama
  • Junichi Tsutsui

Abstract

In this study, we develop a new integrated assessment model called the BET model (Basic Energy systems, Economy, Environment, and End-use Technology Model). It is a multi-regional, global model based on Ramsey’s optimal growth theory and includes not only traditional end-use technologies but also advanced end-use technologies such as heat-pump water heaters and electric vehicles. Using the BET model, we conduct simulations and obtain the following results. (1) Advanced end-use technologies have an important role in containing carbon prices as well as GDP losses when GHG (greenhouse gas) constraints are stringent. (2) Electrification based on energy services progresses rapidly in scenarios with stringent GHG constraints. This is because electricity can be supplied by various methods of non-fossil power generation, and advanced end-use technologies can drastically improve energy-to-service efficiencies. The BET’s results indicate the importance of analyses that systematically combine environmental constraints, end-use technologies, supply energy technologies, and economic development. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Hiromi Yamamoto & Masahiro Sugiyama & Junichi Tsutsui, 2014. "Role of end-use technologies in long-term GHG reduction scenarios developed with the BET model," Climatic Change, Springer, vol. 123(3), pages 583-596, April.
    • Handle: RePEc:spr:climat:v:123:y:2014:i:3:p:583-596
    DOI: 10.1007/s10584-013-0938-6
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    1. Valentina Bosetti & Carlo Carraro & Marzio Galeotti & Emanuele Massetti & Massimo Tavoni, 2006. "WITCH. A World Induced Technical Change Hybrid Model," Working Papers 2006_46, Department of Economics, University of Venice "Ca' Foscari".
    2. Criqui, Patrick & Mima, Silvana & Viguier, Laurent, 1999. "Marginal abatement costs of CO2 emission reductions, geographical flexibility and concrete ceilings: an assessment using the POLES model," Energy Policy, Elsevier, vol. 27(10), pages 585-601, October.
    3. Keigo Akimoto & Fuminori Sano & Junichiro Oda & Takashi Homma & Ullash Kumar Rout & Toshimasa Tomoda, 2008. "Global emission reductions through a sectoral intensity target scheme," Climate Policy, Taylor & Francis Journals, vol. 8(sup1), pages 46-59, December.
    4. Richard Loulou & Maryse Labriet, 2008. "ETSAP-TIAM: the TIMES integrated assessment model Part I: Model structure," Computational Management Science, Springer, vol. 5(1), pages 7-40, February.
    5. Richard Loulou, 2008. "ETSAP-TIAM: the TIMES integrated assessment model. part II: mathematical formulation," Computational Management Science, Springer, vol. 5(1), pages 41-66, February.
    6. Valentina Bosetti & Carlo Carraro & Marzio Galeotti & Emanuele Massetti & Massimo Tavoni, 2006. "A World Induced Technical Change Hybrid Model," The Energy Journal, , vol. 27(2_suppl), pages 13-37, June.
    7. Alan Manne & Richard Richels, 1992. "Buying Greenhouse Insurance: The Economic Costs of CO2 Emission Limits," MIT Press Books, The MIT Press, edition 1, volume 1, number 026213280x, December.
    8. Richels, Richard G. & Blanford, Geoffrey J., 2008. "The value of technological advance in decarbonizing the U.S. economy," Energy Economics, Elsevier, vol. 30(6), pages 2930-2946, November.
    9. Manne, Alan & Mendelsohn, Robert & Richels, Richard, 1995. "MERGE : A model for evaluating regional and global effects of GHG reduction policies," Energy Policy, Elsevier, vol. 23(1), pages 17-34, January.
    10. John P. Weyant, Francisco C. de la Chesnaye, and Geoff J. Blanford, 2006. "Overview of EMF-21: Multigas Mitigation and Climate Policy," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 1-32.
    11. Page Kyle, Leon Clarke, Steven J. Smith, Son Kim, Mayda Nathan, and Marshall Wise, 2011. "The Value of Advanced End-Use Energy Technologies in Meeting U.S. Climate Policy Goals," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    12. Sugiyama, Masahiro, 2012. "Climate change mitigation and electrification," Energy Policy, Elsevier, vol. 44(C), pages 464-468.
    13. Messner, Sabine & Schrattenholzer, Leo, 2000. "MESSAGE–MACRO: linking an energy supply model with a macroeconomic module and solving it iteratively," Energy, Elsevier, vol. 25(3), pages 267-282.
    14. Kainuma, Mikiko & Matsuoka, Yuzuru & Morita, Tsuneyuki, 2000. "The AIM/end-use model and its application to forecast Japanese carbon dioxide emissions," European Journal of Operational Research, Elsevier, vol. 122(2), pages 416-425, April.
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    1. Junichi Tsutsui & Hiromi Yamamoto & Shogo Sakamoto & Masahiro Sugiyama, 2020. "The role of advanced end-use technologies in long-term climate change mitigation: the interlinkage between primary bioenergy and energy end-use," Climatic Change, Springer, vol. 163(3), pages 1659-1673, December.
    2. Jérôme Hilaire & Jan C. Minx & Max W. Callaghan & Jae Edmonds & Gunnar Luderer & Gregory F. Nemet & Joeri Rogelj & Maria Mar Zamora, 2019. "Negative emissions and international climate goals—learning from and about mitigation scenarios," Climatic Change, Springer, vol. 157(2), pages 189-219, November.

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