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DIW Wochenbericht 33 / 2018

Erfolgreicher Klimaschutz durch zügigen Kohleausstieg in Deutschland und Nordrhein-Westfalen

Die Stromerzeugung aus Braun- und Steinkohle war im Jahr 2016 für mehr als ein Viertel der deutschen Treibhausgas- Emissionen verantwortlich. Unter den Bundesländern ist Nordrhein-Westfalen der mit Abstand größte CO2-Emittent. Um die nationalen Klimaziele zu erreichen, werden daher gegenwärtig alternative Kohleausstiegspfade diskutiert, unter anderem in der Kommission „Wachstum, Strukturwandel und ...

2018| Leonard Göke, Martin Kittel, Claudia Kemfert, Casimir Lorenz, Pao-Yu Oei, Christian von Hirschhausen
DIW Weekly Report 33 / 2018

Successful Climate Protection via Rapid Coal Phaseout in Germany and North Rhine-Westphalia

Power generation from lignite and hard coal was responsible for more than a quarter of German greenhouse gas emissions in 2016. Of all federal states, North Rhine-Westphalia is by far the largest carbon emitter. The Growth, Structural Change and Regional Development Commission (also known as “Coal Commission”) among others are currently debating alternative pathways toward a coal phaseout to achieve ...

2018| Leonard Göke, Martin Kittel, Claudia Kemfert, Casimir Lorenz, Pao-Yu Oei, Christian von Hirschhausen
DIW Berlin - Politikberatung kompakt 129 / 2018

Kohleausstieg in NRW im deutschen und europäischen Kontext - Energiewirtschaft, Klimaziele und wirtschaftliche Entwicklung

2018| Pao-Yu Oei, Hanna Brauers, Claudia Kemfert, Martin Kittel, Leonard Göke, Christian von Hirschhausen, Paula Walk
Externe referierte Aufsätze

Scenarios for Coal-Exit in Germany—A Model-Based Analysis and Implications in the European Context

The political discussion to reduce the carbon footprint of Germany’s electricity sector,focusing on coal, is intensifying. In this paper, we develop scenarios for phasing out lignite and hardcoal power plants in Germany prior to the end of their technical lifespan (“coal-exit”). Our analysisbases upon two coal-exit instruments, the retirement of coal generation capacities and the limitingof how much ...

In: Energies 13 (2020), 8, Art. 2041, 19 S. | Martin Kittel, Leonard Goeke, Claudia Kemfert, Pao-Yu Oei, Christian von Hirschhausen

DIETERpy: a Python framework for The Dispatch and Investment Evaluation Tool with Endogenous Renewables

DIETER is an open-source power sector model designed to analyze future settings with very high shares of variable renewable energy sources. It minimizes overall system costs, including fixed and variable costs of various generation, storage and sector coupling options. Here we introduce DIETERpy that builds on the existing model version, written in the General Algebraic Modeling System (GAMS), and ...

Ithaca:, 2020, 12 S.
(arXiv ; 2010.00883)
| Carlos Gaete-Morales, Martin Kittel, Alexander Roth, Wolf-Peter Schill, Alexander Zerrahn
5 results, from 1