Publications in peer-reviewed journals

ADVANCE has resulted in more than thirty publications in scientific journals. Additional papers, e.g. on the effect of the Paris Agreement and 1.5 °C pathways, are currently in preparation.

  • Baker E, Olaleye O, Aleluia Reis L (2015) Decision frameworks and the investment in R&D. Energy Policy 80:275–285. doi: 10.1016/j.enpol.2015.01.027 [PDF, journal website]

  • Berger L (2015) The impact of ambiguity and prudence on prevention decisions. Theory Decis 1–21. doi: 10.1007/s11238-015-9512-1 [PDF, journal website]

  • Berger L, Emmerling J, Tavoni M (2016) Managing Catastrophic Climate Risks Under Model Uncertainty Aversion. Management Science. doi: 10.1287/mnsc.2015.2365 [journal website, PDF]

  • Berrill P, Arvesen A, Scholz Y, et al (2016) Environmental impacts of high penetration renewable energy scenarios for Europe. Environ Res Lett 11:014012. doi: 10.1088/1748-9326/11/1/014012 [PDF, journal website]

  • Bertram C, Luderer G, Pietzcker RC, et al. (2015) Complementing carbon prices with technology policies to keep climate targets within reach. Nature Clim Change. doi: 10.1038/nclimate2514 [PDF, journal website]

  • Bijl DL, Bogaart PW, Kram T, et al (2016) Long-term water demand for electricity, industry and households. Environmental Science & Policy 55, Part 1:75–86. doi: 10.1016/j.envsci.2015.09.005 [PDF, journal website]

  • Cameron C, Pachauri S, Rao ND, et al (2016) Policy trade-offs between climate mitigation and clean cook-stove access in South Asia. Nature Energy 1:15010. doi: 10.1038/nenergy.2015.10 [PDF, journal website]

  • Creutzig F, Jochem P, Edelenbosch OY, et al (2015) Transport: A roadblock to climate change mitigation? Science 350:911–912. doi: 10.1126/science.aac8033 [journal website]

  • Després J, Hadjsaid N, Criqui P, Noirot I (2015) Modelling the impacts of variable renewable sources on the power sector: Reconsidering the typology of energy modelling tools. Energy 80:486–495. doi: 10.1016/ [PDF, journal website]

  • Drouet L, Bosetti V, Tavoni M (2015) Selection of climate policies under the uncertainties in the Fifth Assessment Report of the IPCC. Nature Clim Change. doi: 10.1038/nclimate2721 [journal website, press release, PDF]

  • Drouet L, Emmerling J (2016) Climate policy under socio-economic scenario uncertainty. Environmental Modelling & Software 79:334–342. doi: 10.1016/j.envsoft.2016.02.010 [journal website, PDF]

  • Edelenbosch OY, Kermeli K, Crijns-Graus W, et al (2017) Comparing projections of industrial energy demand and greenhouse gas emissions in long-term energy models. Energy [journal website]

  • Emmerling J, Tavoni M (2017) Climate Engineering and Abatement: A “flat” Relationship Under Uncertainty. Environ Resource Econ 1–21. doi: 10.1007/s10640-016-0104-5 [PDF, journal website]

  • Fricko O, Parkinson SC, Johnson N, et al (2016) Energy sector water use implications of a 2 °C climate policy. Environmental Research Letters 11:034011. doi: 10.1088/1748-9326/11/3/034011 [PDF, journal website]

  • Marangoni G, Tavoni M, Bosetti V, et al (2017) Sensitivity of projected long-term CO2 emissions across the Shared Socioeconomic Pathways. Nature Climate Change. doi: 10.1038/nclimate3199 [PDF, journal website]

  • McCollum DL, Jewell J, Krey V, et al (2016) Quantifying uncertainties influencing the long-term impacts of oil prices on energy markets and carbon emissions. Nature Energy 1:16077. doi: 10.1038/nenergy.2016.77 [PDF, journal website]

  • Mouratiadou I, Biewald A, Pehl M, et al (2016) The impact of climate change mitigation on water demand for energy and food: An integrated analysis based on the Shared Socioeconomic Pathways. Environmental Science & Policy 64:48–58. doi: 10.1016/j.envsci.2016.06.007 [PDF, journal website]

  • Nemet GF, Anadon LD, Verdolini E (2016) Quantifying the Effects of Expert Selection and Elicitation Design on Experts’ Confidence in Their Judgments About Future Energy Technologies. Risk Anal. doi: 10.1111/risa.12604 [PDF, journal website]

  • Pietzcker RC, Stetter D, Manger S, Luderer G (2014) Using the sun to decarbonize the power sector: The economic potential of photovoltaics and concentrating solar power. Applied Energy 135:704–720. doi: 10.1016/j.apenergy.2014.08.011 [PDF, journal website]

  • Riahi K, van Vuuren DP, Kriegler E, et al (2017) The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview. Global Environmental Change 42:153–168. doi: 10.1016/j.gloenvcha.2016.05.009 [journal website]

  • Ueckerdt F, Brecha R, Luderer G, et al (2015) Representing power sector variability and the integration of variable renewables in long-term energy-economy models using residual load duration curves. Energy 90:1799–1814. doi: 10.1016/ [PDF, journal website]

  • Witajewski-Baltvilks J, Verdolini E, Tavoni M (2015) Bending the learning curve. Energy Economics 52:S86–S99. doi: 10.1016/j.eneco.2015.09.007 [PDF, journal website]

Special Issue on integration of Variable Renewable Energy in the journal Energy Economics

  • Carrara S, Marangoni G (2016) Including system integration of variable renewable energies in a constant elasticity of substitution framework: The case of the WITCH model. Energy Economics. doi: 10.1016/j.eneco.2016.08.017 [PDF, journal website]

  • Dai H, Fujimori S, Silva Herran D, et al (2016) The impacts on climate mitigation costs of considering curtailment and storage of variable renewable energy in a general equilibrium model. Energy Economics. doi: 10.1016/j.eneco.2016.03.002 [PDF, journal website]

  • de Boer HS (H. S., van Vuuren D (D. P. (2016) Representation of variable renewable energy sources in TIMER, an aggregated energy system simulation model. Energy Economics. doi: 10.1016/j.eneco.2016.12.006 [journal website]

  • Després J, Mima S, Kitous A, et al (2016) Storage as a flexibility option in power systems with high shares of variable renewable energy sources: a POLES-based analysis. Energy Economics. doi: 10.1016/j.eneco.2016.03.006 [PDF, journal website]

  • Eurek K, Sullivan P, Gleason M, et al (2016) An improved global wind resource estimate for integrated assessment models. Energy Economics. doi: 10.1016/j.eneco.2016.11.015 [PDF, journal website]

  • Johnson N, Strubegger M, McPherson M, et al (2016) A reduced-form approach for representing the impacts of wind and solar PV deployment on the structure and operation of the electricity system. Energy Economics. doi: 10.1016/j.eneco.2016.07.010 [PDF, journal website]

  • Pietzcker RC, Ueckerdt F, Carrara S, et al (2016) System integration of wind and solar power in integrated assessment models: A cross-model evaluation of new approaches. Energy Economics. doi: 10.1016/j.eneco.2016.11.018 [PDF, journal website]

  • Scholz Y, Gils HC, Pietzcker R (2016) Application of a high-detail energy system model to derive power sector characteristics at high wind and solar shares. Energy Economics. doi: 10.1016/j.eneco.2016.06.021 [PDF, journal website]

  • Ueckerdt F, Pietzcker R, Scholz Y, et al (2016) Decarbonizing global power supply under region-specific consideration of challenges and options of integrating variable renewables in the REMIND model. Energy Economics. doi: 10.1016/j.eneco.2016.05.012 [PDF, journal website]

Special Issue on Transport Energy Demand in Transport Transportation Research Part D: Transport and Environment

  • Carrara S, Longden T (2016) Freight futures: The potential impact of road freight on climate policy. Transportation Research Part D: Transport and Environment. doi: 10.1016/j.trd.2016.10.007 [PDF, journal website]

  • Edelenbosch OY, McCollum DL, van Vuuren DP, et al (2016) Decomposing passenger transport futures: Comparing results of global integrated assessment models. Transportation Research Part D: Transport and Environment. doi: 10.1016/j.trd.2016.07.003 [PDF, journal website]

  • Karkatsoulis P, Siskos P, Paroussos L, Capros P (2016) Simulating deep CO2 emission reduction in transport in a general equilibrium framework: The GEM-E3T model. Transportation Research Part D: Transport and Environment. doi: 10.1016/j.trd.2016.11.026 [PDF, journal website]

  • McCollum DL, Wilson C, Pettifor H, et al (2016) Improving the behavioral realism of global integrated assessment models: An application to consumers’ vehicle choices. Transportation Research Part D: Transport and Environment. doi: 10.1016/j.trd.2016.04.003 [PDF, journal website]

  • Mittal S, Dai H, Fujimori S, et al (2016) Key factors influencing the global passenger transport dynamics using the AIM/transport model. Transportation Research Part D: Transport and Environment. doi: 10.1016/j.trd.2016.10.006 [PDF, journal website]

  • Ó Broin E, Guivarch C (2016) Transport infrastructure costs in low-carbon pathways. Transportation Research Part D: Transport and Environment. doi: 10.1016/j.trd.2016.11.002 [PDF, journal website]

  • Yeh S, Mishra GS, Fulton L, et al (2016) Detailed assessment of global transport-energy models’ structures and projections. Transportation Research Part D: Transport and Environment. doi: 10.1016/j.trd.2016.11.001 [PDF, journal website]

Other publications

  • Wilson, C., Kriegler, E., van Vuuren, D.P., Guivarch, C., Frame, D., Krey, V., Osborn, T.J., Schwanitz, V.J. & Thompson, E.L.  (2017). Evaluating Process-Based Integrated Assessment Models of Climate Change Mitigation. IIASA Working Paper WP-17-007. International Institute for Applied Systems Analysis, Laxenburg, Austria. May 2017 [PDF available here]