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Dresden 2020 – wissenschaftliches Programm

Die DPG-Frühjahrstagung in Dresden musste abgesagt werden! Lesen Sie mehr ...

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SYCE: Symposium Climate and energy: Challenges and options from a physics perspective

SYCE 1: Climate and Energy: challenges and options from a physics perspective

Mittwoch, 18. März 2020, 09:30–12:15, HSZ 02

Climate change poses pressing challenges about its implications as well as about understanding complex systems, including the transition of our energy system to completely renewable supply, understanding boundary conditions and understanding climate function and impact. Physics essentially contributes to this issue because it underlies developing and improving renewable energy supply devices and plants and also adds a holistic perspective towards planning and operation of fully renewable energy systems as well as socio-economic systems as a whole. The Symposium on the energy transition, climate and its impact as well as human interactions with these processes brings together approaches from physics and the exact sciences to provide a platform for cross-disciplinary discussions. Specifically, we address the pivotal issue how to most effectively and quickly make the transition to renewable generation and distribution in the areas of heating, and mobility, both in the private and industrial sectors.

09:30 SYCE 1.1 Hauptvortrag: Towards a carbon-free energy system: Expectations from R&D in renewable energy technologies — •Bernd Rech and Rutger Schlatmann
10:00 SYCE 1.2 Hauptvortrag: Decarbonizing the Heating Sector - Challenges and Solutions — •Florian Weiser
10:30 SYCE 1.3 Hauptvortrag: The challenge of anthropogenic climate change - Earth system analysis can guide climate mitigation policy — •Matthias Hofmann
  11:00 15 min. break
11:15 SYCE 1.4 Hauptvortrag: A carbon-free Energy System in 2050: Modelling the Energy Transition — •Christoph Kost, Philip Sterchele, and Hans-Martin Henning
11:45 SYCE 1.5 Hauptvortrag: The transition of the electricity system to 100% renewable energy: agent-based modeling of investment decisions under climate policies — •Kristian Lindgren
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