544 citations · 3.8k across the 35 of their papers we have counts for
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PyPSA: Python for Power System Analysis
Tom Brown, Jonas Hörsch, David Schlachtberger
Python for Power System Analysis (PyPSA) is a free software toolbox for simulating and optimising modern electrical power systems over multiple periods. PyPSA includes models for c…
Opening the black box of energy modelling: Strategies and lessons learned
Stefan Pfenninger, Lion Hirth, Ingmar Schlecht +21
The global energy system is undergoing a major transition, and in energy planning and decision-making across governments, industry and academia, models play a crucial role. Because…
Optimal heterogeneity in a simplified highly renewable European electricity system
Emil H. Eriksen, Leon J. Schwenk-Nebbe, Bo Tranberg +2
The resource quality and the temporal generation pattern of variable renewable energy sources vary significantly across Europe. In this paper spatial distributions of renewable ass…
The role of spatial scale in joint optimisations of generation and transmission for European highly renewable scenarios
Jonas Hörsch, Tom Brown
The effects of the spatial scale on the results of the optimisation of transmission and generation capacity in Europe are quantified under a 95% CO2 reduction compared to 1990 leve…
The Benefits of Cooperation in a Highly Renewable European Electricity Network
David P. Schlachtberger, Tom Brown, Stefan Schramm +1
To reach ambitious European CO emission reduction targets, most scenarios of future European electricity systems rely on large shares of wind and solar photovoltaic power gener…
Linear Optimal Power Flow Using Cycle Flows
Jonas Hörsch, Henrik Ronellenfitsch, Dirk Witthaut +1
Linear optimal power flow (LOPF) algorithms use a linearization of the alternating current (AC) load flow equations to optimize generator dispatch in a network subject to the loadi…