L
Leo Schrattenholzer
Researcher at International Institute for Applied Systems Analysis
Publications - 78
Citations - 3384
Leo Schrattenholzer is an academic researcher from International Institute for Applied Systems Analysis. The author has contributed to research in topics: Greenhouse gas & Primary energy. The author has an hindex of 21, co-authored 78 publications receiving 3223 citations. Previous affiliations of Leo Schrattenholzer include International Institute of Minnesota & Royal Institute of Technology.
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Learning rates for energy technologies
TL;DR: In this article, the authors assemble data on experience accumulation and cost reductions for a number of energy technologies, estimate learning rates for the resulting 26 data sets, analyze their variability, and evaluate their usefulness for applications in long-term energy models.
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Global bioenergy potentials through 2050
TL;DR: In this article, the authors presented estimates of world regional potentials of the sustainable use of biomass for energy uses through the year 2050, consistent with scenarios of agricultural production and land use developed at the International Institute for Applied Systems Analysis, Austria.
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Endogenous technological change in climate change modelling
TL;DR: In this article, the authors investigated the impact on optimal CO2 abatement and carbon tax levels of introducing endogenous technological change in a macroeconomic model of climate change and found that including endogenous innovation implies earlier emission reduction to meet atmospheric carbon concentration constraints.
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MESSAGE-MACRO: Linking an energy supply model with a macroeconomic module and solving it iteratively
S. Messner,Leo Schrattenholzer +1 more
TL;DR: In this paper, an automated link of two independently running models is described, which is the result of linking a macroeconomic model with a detailed energy supply model, and the purpose of the linkage is to consistently reflect the influence of energy supply costs as calculated by the ESS model in the optimal mix of production factors included in the macro economic model.
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Technological Learning for Carbon Capture and Sequestration Technologies
Keywan Riahi,Edward S. Rubin,Margaret R. Taylor,Margaret R. Taylor,Leo Schrattenholzer,David A. Hounshell +5 more
TL;DR: In this paper, the potentials of carbon capture and sequestration technologies (CCT) in a set of long-term energy-economic-environmental scenarios based on alternative assumptions for technological progress of CCT were analyzed.