Jonas Hörsch

TL;DR: 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 equation.

TL;DR: The PyPSA-Eur dataset as mentioned in this paper is the first open model dataset of the European power system at the transmission network level to cover the full ENTSO-E area, which contains 6001 lines (alternating current lines at and above 220kV voltage level and all high voltage direct current lines), 3657 substations, a new open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power.

TL;DR: The Python for Power System Analysis (PyPSA) toolbox as mentioned in this paper is a free software toolbox for simulating and optimising modern electrical power systems over multiple periods, including models for conventional generators with unit commitment, variable renewable generation, storage units, coupling to other energy sectors, and mixed alternating and direct current networks.

TL;DR: In the last decades, energy modelling has supported energy planning by offering insights into the dynamics between energy access, resource use, and sustainable development as mentioned in this paper, and especially in recent yea...

TL;DR: This paper focuses on the description of the network topology, the compilation of a European power plant database and a top-down load time-series regionalisation and summarises the derivation of renewable wind and solar availability time- series from re-analysis weather datasets and the estimation of renewable capacity potentials restricted by land-use.