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David Schlachtberger
David Schlachtberger
Unknown affiliation
Verified email at fias.uni-frankfurt.de
Title
Cited by
Cited by
Year
Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system
T Brown, D Schlachtberger, A Kies, S Schramm, M Greiner
Energy 160, 720-739, 2018
6152018
PyPSA: Python for power system analysis
T Brown, J Hörsch, D Schlachtberger
arXiv preprint arXiv:1707.09913, 2017
5402017
The benefits of cooperation in a highly renewable European electricity network
DP Schlachtberger, T Brown, S Schramm, M Greiner
Energy 134, 469-481, 2017
3202017
PyPSA-Eur: An open optimisation model of the European transmission system
J Hörsch, F Hofmann, D Schlachtberger, T Brown
Energy strategy reviews 22, 207-215, 2018
2402018
Cost optimal scenarios of a future highly renewable European electricity system: Exploring the influence of weather data, cost parameters and policy constraints
DP Schlachtberger, T Brown, M Schäfer, S Schramm, M Greiner
Energy 163, 100-114, 2018
1462018
Backup flexibility classes in emerging large-scale renewable electricity systems
DP Schlachtberger, S Becker, S Schramm, M Greiner
Energy Conversion and Management 125, 336-346, 2016
952016
The role of hydro power, storage and transmission in the decarbonization of the Chinese power system
H Liu, T Brown, GB Andresen, DP Schlachtberger, M Greiner
Applied Energy 239, 1308-1321, 2019
862019
PyPSA: Python for power system analysis. J Open Res Softw 2018; 6
T Brown, J Hörsch, D Schlachtberger
arXiv preprint arXiv:1707.09913, 0
17
Sector coupling in a simplified model of a highly renewable European energy system
T Brown, D Schlachtberger, A Kies, M Greiner
Proceedings of 15th Wind Integration Workshop, 2016
142016
PyPSA: Python for power system Analysis. 2017
T Brown, J Hörsch, D Schlachtberger
Journal of Open Research Software 6 (1), 0
14
PyPSA documentation
T Brown, J Hörsch, F Hofmann, F Neumann, D Schlachtberger
Renewable Energy Group, Emden, Germany, 2016
72016
The benefits of cooperation in a highly renewable European electricity network, Energy 134 (Supplement C)(2017) 469–481. doi: 10.1016/j. energy. 2017.06. 004
DP Schlachtberger, T Brown, S Schramm, M Greiner
URL http://www. sciencedirect. com/science/article/pii S, 0
6
Synergies of sector coupling and transmission extension in a cost-optimised, highly renewable European energy system
T Brown, D Schlachtberger, A Kies, S Schramm, M Greiner
URL https://arxiv. org/abs, 1801
51801
Python for power system analysis (PyPSA): Free software for Planning energy systems with high shares of renewables
T Brown, J Hörsch, D Schlachtberger
Proceedings of the 1st International Conference on Large-Scale Grid …, 2017
42017
Impact of climate change on a future highly renewable European power system
M Schlott, A Kies, T Brown, D Schlachtberger, J Hoersch, S Schramm, ...
Proceedings of 16th Wind Integration Workshop, 2017
22017
A comprehensive analysis of flexibility options to integrate high shares of renewable electricity in a European power network
DP Schlachtberger
Universitätsbibliothek Johann Christian Senckenberg, 2017
22017
Python for Power System Analysis (PyPSA)
T Brown, J Hörsch, D Schlachtberger
22016
Networks versus Storage in a Highly Renewable European Electricity System: A Continuous Parameter Sweep
D Schlachtberger, T Brown, S Schramm, M Greiner
12016
The effect of real-time pricing on load shifting in a highly renewable power system dominated by generation from the renewable sources of wind and photovoltaics
A Kies, T Brown, D Schlachtberger, S Schramm
EGU General Assembly Conference Abstracts, 19078, 2017
2017
Impact of climate change on renewable power resources and consequently on a future highly renewable European power system
M Schlott, A Kies, T Brown, D Schlachtberger, J Hoersch, S Schramm
2017
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