Simulations of energy storage requirements of wind energy facilities

Abstract

Wind-energy facilities' key parameters for the attribution of the energy-storage (ES) cost at the grid level are the nominal capacity of the facility P, the annual mean capacity factor ε a and its SD using high-frequency (HF) sampling σ.Here, we compare ε a and σ calculated from measurements and resource-based simulations. The energy production to the grid is available every 5 minutes for a specific year. Meteorological data are available hourly and not for the specific year, but only for the typical year, about ground level, and from stations located in towns and cities relatively far from the wind-energy facilities. While the computed and measured ε a are in reasonable agreement, after tuning, the difference between the hourly σ is large. It is concluded that contemporary HF data of energy production and speed of the wind at hub height, plus other meteorological data, in the wind-energy-facility, are essential for validating presently inaccurate wind energy simulations.

Variability in wind energy on interannual and decadal scales and its influence on hydrogen energy storage

“…Much of the research on wind energy production and its temporal variability has focused on short-term variability, ranging from minutes to days. 4,[13][14][15][16][17][18][19][20][21][22][23] There is a scarcity of research addressing the seasonal variability throughout the year and even fewer studies investigating interannual, decadal, and possibly multi-decadal variability. This implies a gap in the literature concerning the longer-term trends and patterns in wind energy production.…”