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Effectiveness and efficiency of climate change mitigation in a technologically uncertain World

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  • Amit Kanudia
  • Maryse Labriet
  • Richard Loulou

Abstract

Following a multi-scenario framework based on the technology assumptions proposed by the 27th Energy Modeling Forum (EMF-27), our analysis focuses on analyzing the impacts of key technology assumptions on climate policies, including the interdependencies of different technological options. Each scenario may be considered as either a possible state of nature upon which one has no influence, each scenario thus dictating the availability (or non availability) of some subset of the technology groups, or as an opportunity for society, by its own actions and policies, to influence the availability of said technology group. The main insights obtained from the assessment show the prominent role of bioenergy as a means to abate greenhouse gas emissions, irrespective of other technological developments, while the role of the other technologies (wind and solar, carbon capture and sequestration, nuclear) are more dependent of one another. It appears that CCS may play a sort of “backstop” role: it compensates for a lower contribution of solar and wind, or of nuclear. This means that an increased social acceptability of one (or all) of these three sets of technology should be at the heart of future climate policies. The costs caused by the adaptation of electricity networks to accommodate a high fraction of intermittent sources would deserve more attention in future research. Copyright Springer Science+Business Media Dordrecht 2014

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  • Amit Kanudia & Maryse Labriet & Richard Loulou, 2014. "Effectiveness and efficiency of climate change mitigation in a technologically uncertain World," Climatic Change, Springer, vol. 123(3), pages 543-558, April.
    • Handle: RePEc:spr:climat:v:123:y:2014:i:3:p:543-558
    DOI: 10.1007/s10584-013-0854-9
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. -, 2009. "The economics of climate change," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38679, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
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    1. van Ruijven, Bas J. & Daenzer, Katie & Fisher-Vanden, Karen & Kober, Tom & Paltsev, Sergey & Beach, Robert H. & Calderon, Silvia Liliana & Calvin, Kate & Labriet, Maryse & Kitous, Alban & Lucena, Andr, 2016. "Baseline projections for Latin America: base-year assumptions, key drivers and greenhouse emissions," Energy Economics, Elsevier, vol. 56(C), pages 499-512.
    2. Hurlbert, Margot & Osazuwa-Peters, Mac, 2023. "Carbon capture and storage in Saskatchewan: An analysis of communicative practices in a contested technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    3. Hang Deng & Jeffrey M. Bielicki & Michael Oppenheimer & Jeffrey P. Fitts & Catherine A. Peters, 2017. "Leakage risks of geologic CO2 storage and the impacts on the global energy system and climate change mitigation," Climatic Change, Springer, vol. 144(2), pages 151-163, September.
    4. 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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