Publications

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/j.energy.2014.12.005. [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/j.energy.2015.07.006 [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

  • Luderer, Gunnar, Robert C. Pietzcker, Samuel Carrara, Harmen Sytze de Boer, Shinichiro Fujimori, Nils Johnson, Silvana Mima, and Douglas Arent. Assessment of Wind and Solar Power in Global Low-Carbon Energy Scenarios: An Introduction. Energy Economics 64 (May 2017): 542–51. doi:10.1016/j.eneco.2017.03.027. [PDF, journal website]

  • 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

  • Luderer G, Kriegler E, Delsa L, Edelenbosch OY, Emmerling J, Krey V, McCollum DL, Pachauri S, Riahi K, Saveyn B, Tavoni M, Vrontisi Z, van Vuuren DP, Arent D, Arvesen A, Fujimori S, Iyer G, Keppo I, Kermeli K, Mima S, Ó Broin E, Pietzcker RC, Sano F, Scholz Y, van Ruijven B, Wilson C. 2016. Deep decarbonisation towards 1.5 °C – 2 °C stabilisation. Policy findings from the ADVANCE project (first edition) [PDF available here]

  • 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]