no code implementations • 22 Jan 2021 • Martha Maria Frysztacki, Jonas Hörsch, Veit Hagenmeyer, Tom Brown
If we focus on the effect of renewable resource resolution and ignore network restrictions, we find that a higher resolution allows the optimal solution to concentrate wind and solar capacity at sites with better capacity factors and thus reduces system costs by up to 10% compared to a low resolution model.
Physics and Society Computation
3 code implementations • 5 Jun 2018 • Jonas Hörsch, Fabian Hofmann, David Schlachtberger, Tom Brown
PyPSA-Eur, the first open model dataset of the European power system at the transmission network level to cover the full ENTSO-E area, is presented.
Physics and Society
1 code implementation • 30 Oct 2017 • Jonas Hörsch, Joanne Calitz
South Africa is in the fortunate position of having access to high-quality wind and solar resources promising energy production costs well below the ones projected for future installations of thermal generation; yet the feasibility of a low carbon energy system is still under scrutiny.
Physics and Society
2 code implementations • 31 Jul 2017 • Tom Brown, Jonas Hörsch, David Schlachtberger
In this paper the basic functionality of PyPSA is described, including the formulation of the full power flow equations and the multi-period optimisation of operation and investment with linear power flow equations.
Physics and Society
2 code implementations • 22 May 2017 • 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 levels, interpolating between one-node-per-country solutions and many-nodes-per-country.
Physics and Society Applied Physics
