Fluctuating renewables in a long-term climate change mitigation strategy
By Sylvie Ludig, M. Haller, Eva Schmid, Nico Bauer. 2011
149 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Electrical and Electronic Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/942181afb127df1dfcb86185e37adb269e160a5b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Gunnar Luderer
- R. Pietzcker
- Tom Brown
- Guido Pleßmann
- Ottmar Edenhofer
- Lion Hirth
- Philipp Blechinger
- Falko Ueckerdt
In Electrical and Electronic Engineering
- Tom Brown
- David P. Schlachtberger
- Lion Hirth
- S. Schramm
- Martin Greiner
- Philipp Blechinger
- Guido Pleßmann
- Gunnar Luderer
In Mechanical Engineering
Citations in the corpus
- System LCOE: What are the Costs of Variable Renewables? (2013, background): “Deriving an efficient mix of integration options requires a careful analysis of a power system considering the complex interaction of variable renewables, other generating technologies and integration options as well as the relevant externalities (see for example [44]–[46]).”
- The role of grid extensions in a cost-efficient transformation of the European electricity system until 2050 (2013, methodology): “Ludig et al. (2011) determine optimal electricity mixes for reaching RES-E and CO2 emission reduction targets in one region of Germany, by applying a long-term investment and dispatch model for renewable, thermal, electricity storage and carbon capture and storage technologies.”
- Using the sun to decarbonize the power sector: The economic potential of photovoltaics and concentrating solar power ☆ (2014, background): “Future work will explore how integration costs are influenced by different assumptions about flexibility options and compare our implementation of integration challenges to other approaches, such as time slices [73] or additional capacity and flexibility equations [74].”
- Impact of the level of temporal and operational detail in energy-system planning models (2016, background): “A second group analyzes the impact of the temporal resolution on investment decisions [19, 23, 21].”
- How to meet EU GHG emission reduction targets? A model based decarbonization pathway for Europe's electricity supply system until 2050 (2017, methodology): “We consider power system models URBS-EU [21, 9, 22], LIMES-EU+ [23, 24, 25, 26], DIMENSION (ext.”
- Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system (2018, background): “A lower intra-annual resolution allows optimisation of investment paths over multiple decades, but does not allow enough resolution to assess the variability and flexibility requirements for high shares of wind and solar power [43, 44].”