Renewable energy based electricity supply at low costs - Development of the REMix model and application for Europe
By Y. Scholz. 2012
126 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, General Energy, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/6356a8891c459e9423e7302972b5473bd9307efd
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In Electrical and Electronic Engineering
- Tom Brown
- Christian Breyer
- David P. Schlachtberger
- D. Bogdanov
- Marta Victoria
- Henrik Lund
- E. Zeyen
- S. Schramm
In General Energy
- Christian Breyer
- Keywan Riahi
- Tom Brown
- E. Zeyen
- Brian Vad Mathiesen
- Martin Greiner
- Marta Victoria
- D. Bogdanov
In Renewable Energy, Sustainability and the Environment
- Christian Breyer
- Tom Brown
- David P. Schlachtberger
- Brian Vad Mathiesen
- Volker Krey
- Jonas Horsch
- Keywan Riahi
- Benjamin Sovacool
Citations in the corpus
- On the History and Future of 100% Renewable Energy Systems Research (2022, methodology): “to the existing models at that time, REMix methodically focused on the expansion and operation of variable RE (VRE) technologies [77].”
- The benefits of cooperation in a highly renewable European electricity network (2017, methodology): “This reveals non-linear effects which are not visible in studies of isolated transmission scenarios [2, 3, 15]; in particular, most of the economic benefits of transmission expansion can be locked in with a more modest expansion than the optimal solution.”
- Improving the behavioral realism of global integrated assessment models: An application to consumers’ vehicle choices (2017, methodology): “REMIX optimization partial 2050 high (Scholz, 2012) REMIND inter-temporal optimization general 2100 high high (Luderer et al.”
- Cost optimal scenarios of a future highly renewable European electricity system: Exploring the influence of weather data, cost parameters and policy constraints (2018, background): “newable generation, large-scale power transmission capacities play a decisive role to provide a smoothing eect and to connect generation capacity at favorable distant locations with the load centres [10,11,12,13,14,15,16,17,18]. Given the complexity of such a system, in particular with respect to th”
- PyPSA-Eur: An open optimisation model of the European transmission system (2018, background): “t)) t Pmax w (4) 7 and together with the usable area A x;w the maximally installable wind generation capacity Gmax x;w= 0:3 210MW=km2 A is calculated, where 10MW=km is the technical potential density [47] and 0:3 arises out of considering competing land use and issues of public acceptance. The usabl”
- Speed of technological transformations required in Europe to achieve different climate goals (2021, methodology): “Categories in Corine Land Cover database [12] are selected following [15].”
- How to meet EU GHG emission reduction targets? A model based decarbonization pathway for Europe's electricity supply system until 2050 (2017, methodology): “Other, similar methods exist beyond the models examined here: Scholz modeled Europe’s power supply system with focus on spatial potential and cost of RES [32].”
- Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system (2018, methodology): “cluded, as well as areas with certain land use types, as specified by [4] from the Corine Land Cover database [73], to avoid, for example, placing wind turbines in urban areas.”