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Keywan Riahi

Researcher at International Institute for Applied Systems Analysis

Publications -  345
Citations -  70903

Keywan Riahi is an academic researcher from International Institute for Applied Systems Analysis. The author has contributed to research in topics: Greenhouse gas & Climate change. The author has an hindex of 87, co-authored 318 publications receiving 58030 citations. Previous affiliations of Keywan Riahi include Colorado School of Mines & Graz University of Technology.

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Regional, national, and spatially explicit scenarios of demographic and economic change based on SRES

TL;DR: In this paper, the authors report a spatially explicit scenario interpretation for population and economic activity (GDP) for the time period 1990 to 2100 based on three scenarios (A2, B1, and B2) from the IPCC Special Report on Emissions Scenarios (SRES) at the highest degree of spatial detail, the scenario indicators are calculated at a 05 by 05 degree resolution.
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Energy security under de-carbonization scenarios: An assessment framework and evaluation under different technology and policy choices

TL;DR: In this paper, the authors proposed a framework to evaluate energy security under long-term energy scenarios generated by integrated assessment models, defined as low vulnerability of vital energy systems, delineated along geographic and sectoral boundaries.
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Stranded on a low-carbon planet: : Implications of climate policy for the phase-out of coal-based power plants

TL;DR: In this article, the authors explored the relationship between near-term climate policy and coal capacity and explored strategies for reducing stranded capacity, assuming a long-term goal of limiting warming to 2 °C.
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Pathways to achieve universal household access to modern energy by 2030

TL;DR: In this paper, the authors use two modelling frameworks to analyse investments and consequences of achieving total rural electrification and universal access to clean-combusting cooking fuels and stoves by 2030, and conclude that these targets can be achieved with additional investment of US$20056586 billion per year until 2030 combined with dedicated policies.
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Improving the behavioral realism of global integrated assessment models: An application to consumers’ vehicle choices

TL;DR: In this paper, an innovative model formulation is developed to represent heterogeneous consumer groups with varying preferences for vehicle novelty, range, refueling/recharging availability, and variety, which is then implemented in the transport module of MESSAGE-Transport, a global IAM, although it also has the generic flexibility to be applied in energy-economy models with varying set-ups.