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Continuum Tutorials

Tutorial Summary:

Learn how to download USGS digital elevation data and extract area for Continuum modeling using QGIS.  Continuum is limited to a topography file size of 53M data points and the data downloaded from the USGS is provided in 1°x1° blocks which are too large to import into Continuum.

USGS National Map Viewer.png
USGS DEM

Tutorial Summary:

Learn how to download USGS land cover data and extract area for Continuum modeling using QGIS

USGS MRLC viewer.png
USGS Land Cover
MERRA2 data

Tutorial Summary:

Learn how to download MERRA2 reanalysis data to your PC and how to extract and analyze MERRA2 data at specified coordinates.

If time series met data is imported in Continuum, MERRA2 50 m wind speed data is used in MCP (Measure-Correlate-Predict) to predict long-term wind speeds at each met site.

Met time series

Tutorial Summary:

Learn how to format and import met time series data and apply met data QC filters.

MCP

Tutorial Summary:

Learn how to conduct MCP (Measure-Correlate-Predict) using MERRA2 re-analysis 50 m data as the long-term reference data and met time series data. Choose from four MCP methods and bin data by wind direction, time of day, and season. Learn how to run MCP uncertainty analysis.

Wind flow model

Tutorial Summary:

Learn how create Continuum® wind flow model using topography, land cover data and either met TAB files or met time series data files.

WS Maps

Tutorial Summary:

Learn how create Continuum® wind flow model using topography, land cover data and either met TAB files or met time series data files.

Round Robin

Tutorial Summary:

Learn how to conduct a Round Robin uncertainty analysis. In a Round Robin analysis, wind flow models are created using subsets of the met sites which are then used to predict the wind speed at all met sites that were excluded from the model. Every combination of met sites are used to create a model and predict the wind speed. The RMS (root-mean-square) of the wind speed estimate errors is calculated and is an indication of the uncertainty of the wind flow model.

Gross Ests

Tutorial Summary:

Learn how to generate gross turbine wind speed and energy estimates using one (or many) power curves.

Exceedance

Tutorial Summary:

Learn how to create the exceedance model needed for calculating production losses (other than wake loss). Performance factor curves are used to define both the loss and uncertainty associated with various loss factors. Choose from 17 performance curves to define. Run a Monte Carlo model which combines all performance factors to produce the overall composite P-table. The P50 value of the composite table is used to calculate the turbine net energy production..

Exceedance tutorial.png
Wake loss

Tutorial Summary:

Learn how to create wake loss model, generate wake loss estimates, and find net energy production estimates at turbine sites. Learn how to create maps of waked wind speed.

Wake Model tutorial.png
Shadow Flicker

Tutorial Summary:

Learn how to calculate number of shadow flicker hours per month at each specified zone and create map of shadow flicker hours.

Shadow flicker tutorial.png
Ice throw

Tutorial Summary:

Learn how to calculate ice throw probability statistics for each specified zone.

Ice throw tutorial.png
Sound

Tutorial Summary:

Learn how to generate a turbine sound propagation model and estimate sound levels at locations of interest.

Sound tutorial.png
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