This library provides a framework for assessing wind plant performance using operational assessment (OA) methodologies that consume time series data from wind plants. The goal of the project is to provide an open source implementation of common data structures, analysis methods, and utility functions relevant to wind plant OA.
This pull request addresses the concern raised in issue #235 for the TurbineLongTermGrossEnergy analysis method. When filtering the SCADA data to identify periods with normal operation, the power curve outlier filter was previously using the maximum power from SCADA for each turbine to define the turbine capacity. This could create an issue in the filters.bin_filter function call if there happen to be any power outliers in the SCADA data significantly greater than the turbine's rated power. To fix this, the turbine capacity is changed to the rated power for each turbine given by the asset table.
Additional changes include:
Removing a leftover, unused method prepare_scada in TurbineLongTermGrossEnergy that was replaced by filter_turbine_data
Updating the TIE test results, because the minor change in the turbine capacity parameter causes the TIE results to change slightly
Re-running the example 03 notebook because the results changed slightly
Updating the analysis requirements for TurbineLongTermGrossEnergy to include the asset table in metadata.py
This pull request addresses the concern raised in issue #235 for the
TurbineLongTermGrossEnergyanalysis method. When filtering the SCADA data to identify periods with normal operation, the power curve outlier filter was previously using the maximum power from SCADA for each turbine to define the turbine capacity. This could create an issue in thefilters.bin_filterfunction call if there happen to be any power outliers in the SCADA data significantly greater than the turbine's rated power. To fix this, the turbine capacity is changed to the rated power for each turbine given by the asset table.Additional changes include:
prepare_scadainTurbineLongTermGrossEnergythat was replaced byfilter_turbine_dataTurbineLongTermGrossEnergyto include the asset table in metadata.py