222 citations · 573 across the 10 of their papers we have counts for
10 papers
Towards high resolution, validated and open global wind power assessments
Edgar Ubaldo Peña-Sánchez, Philipp Dunkel, Christoph Winkler +10
Wind power is expected to play a crucial role in future net-zero energy systems, but wind power simulations to support deployment strategies vary drastically in their results, hind…
Overcoming the disconnect between energy system and climate modeling
Michael T. Craig, Jan Wohland, Laurens P. Stoop +20
Energy system models underpin decisions by energy system planners and operators. Energy system modelling faces a transformation: accounting for changing meteorological conditions i…
Explaining the decline of US wind output power density
Peter Regner, Katharina Gruber, Sebastian Wehrle +1
US wind power generation has grown significantly over the last decades, in line with the number and average size of operating turbines. However, wind power density has declined, bo…
Winterization of Texan power system infrastructure is profitable but risky
Katharina Gruber, Tobias Gauster, Peter Regner +2
We deliver the first analysis of the 2021 cold spell in Texas which combines temperature dependent load estimates with temperature dependent estimates of power plant outages to und…
Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments
Russell McKenna, Stefan Pfenninger, Heidi Heinrichs +16
The rapid uptake of renewable energy technologies in recent decades has increased the demand of energy researchers, policymakers and energy planners for reliable data on the spatia…
Towards a global dynamic wind atlas: A multi-country validation of wind power simulation from MERRA-2 and ERA-5 reanalyses bias-corrected with the Global Wind Atlas
Katharina Gruber, Peter Regner, Sebastian Wehrle +2
Reanalysis data are widely used for simulating renewable energy and in particular wind power generation. While MERRA-2 has been a de-facto standard in many studies, the newer ERA5-…
Machine learning models show similar performance to Renewables.ninja for generation of long-term wind power time series even without location information
Johann Baumgartner, Katharina Gruber, Sofia Simoes +2
Driven by climatic processes, wind power generation is inherently variable. Long-term simulated wind power time series are therefore an essential component for understanding the te…
A parametric model for wind turbine power curves incorporating environmental conditions
Yves-Marie Saint-Drenan, Romain Besseau, Malte Jansen +7
A wind turbine's power curve relates its power production to the wind speed it experiences. The typical shape of a power curve is well known and has been studied extensively; howev…
The perils of automated fitting of datasets: the case of a wind turbine cost model
Claude Klöckl, Katharina Gruber, Peter Regner +2
Rinne et al. conduct an interesting analysis of the impact of wind turbine technology and land-use on wind power potentials, which allows profound insights into each factors contri…
Assessing the Global Wind Atlas and local measurements for bias correction of wind power generation simulated from MERRA-2 in Brazil
Katharina Gruber, Claude Kloeckl, Peter Regner +2
NASAs MERRA-2 reanalysis is a widely used dataset in renewable energy resource modelling. The Global Wind Atlas (GWA) has been used to bias-correct MERRA-2 data before. There is, h…