OpenOA
maintainence/11-2021-fixing-docs
Contents:
Install
Requirements
Installation
Common Installation Issues:
Development
Example Notebooks and Data
Testing
Documentation
Contributors
Examples
Use ENGIE’s open data set
Import the data
Range filter
Window range filter
Bin filter
Unresponsive Filter
Quality Check Diagnostic Work
Step 1: Load in Data
Convert Date_time to a datetime object
Step 2: Initializing QC and Performing the Run Method
Step 3: Deep Dive with QC Diagnostic Results
Perform a general scan of the distributions for each numeric variable
Check ranges of each variable
Identify any timestamp duplications and timestamp gaps.
Check the DST plot to look in more detail
Inspect the turbine power curves
Step 4: Performing adjustments on our data
First step in gap analysis is to determine the AEP based on operational data.
Step 1: Import plant data into notebook
Step 2: Review the data
Step 3: Process the data into monthly averages and sums
Step 4: Review reanalysis data
Step 5: Review energy and loss data
Step 6: Specify availabilty and curtailment data not represenative of actual plant performance
Step 7: Select reanalysis products to use
Step 8: Set up Monte Carlo inputs
Step 9: Run the OA code
Step 10: Post-analysis visualization
Example operational analysis using the augmented capabilities of the AEP class
Comparison 1: AEP calculation using different regression models and different time resolution
Comparison 2: AEP calculation using various input variables
The next step in the gap analysis is to calculate the Turbine Ideal Energy (TIE) for the wind farm based on SCADA data
TIE calculation without uncertainty quantification
TIE calculation including uncertainty quantification
The next step in the gap analysis is to estimate electrical losses from the wind farm.
Electrical loss estimation without uncertainty quantification
Electrical loss estimation including uncertainty quantification
Perform energy yield assessment (EYA)-operational assessment (OA) gap analysis
Calculate AEP, TIE, and electrical losses from operational data
Summarize operational results and create EYA data for comparison
Perform gap analysis
Toolkits
Filters
Power Curve
Imputing
Timeseries
Met Data Processing
Metadata Fetch
Unit Conversion
Plotting
Analysis Methods
Plant Level Analysis
Turbine Level Analysis
Electrical Losses Analysis
Project Data
Schemas
Operational Data
Reanalysis Products
PlantData
AssetData
ReanalysisData
Contributing
Issue Tracking
Repository
Pull Request
Coding Style
Documentation Style
Testing
Deploying a Package to PyPi
Credit
OpenOA
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