Applications

Long-term time series data are required for wind energy, and hybrid renewables modeling applications, including:

Wind energy, battery state-of-charge, and electrolyzer utilization for green hydrogen modeling, pre-construction and post-construction analysis
Time series modeling at small time intervals of wind and/or solar energy production, and the losses associated with the production that are dependent on weather conditions, including for battery sizing, augmentation planning, and degradation calculations
Likewise, worst-case scenario resource, energy, and revenue modeling and de-risking revenue projections while assessing imposed penalties on a time series basis for realistic conditions spanning a broad range of possible years
Simulated high-wind hysteresis, temperature curtailment, and other curtailment applications in wind energy
Analysis of atmospheric stability where no such observations have previously been taken, to improve wake loss modeling, and for time series wake loss modeling
Hybrid project optimization and assessment of co-varying energy production on varied timescales relevant to the energy trading interval
Loading calculations at given heights above ground for long project lifetime, or project lifetime extension analysis
Wind gusts and weather event frequency and magnitude, including rain, hail, icing, snowfall, extreme maximum or minimum temperatures, humidity thresholds, albedo, inflow angles
Long-term timeseries bias-corrected or “MOS” (model output statistics) adjusted to short- term on-site measured timeseries from radiometers, solar met stations, wind met stations, etc., to reconstruct more realistic long-term time series.
Measure-correlate-predict sub-par correlation (R 2 ) improvement (a common wind and solar energy application); typical improvements over other sources are 0.03-0.15

Other Applications include:

Climate Studies: Climatologists and researchers use long-term wind time series to study climate patterns, understand atmospheric dynamics, and assess the impact of climate change on wind conditions.
Building Design: Architects and engineers incorporate long-term wind data into the design of structures to ensure their stability and minimize the impact of wind-induced loads.
Environmental Studies: Long-term wind time series data is used to study air pollution dispersion, atmospheric transport, and the impact of wind on ecosystems.