Wind Plant Performance Prediction (WP3) Project
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
The methods for analysis of operational wind plant data are highly variable across the wind industry, leading to high uncertainties in the validation and bias-correction of preconstruction energy estimation methods. Lack of credibility in the preconstruction energy estimates leads to significant impacts on project financing and therefore the final levelized cost of energy for the plant. In this work, the variation in the evaluation of a wind plant's operational energy production as a result of variations in the processing methods applied to the operational data is examined. Preliminary results indicate that selection of the filters applied to the data and the filter parameters can have significant impacts in the final computed assessment metrics.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE National Renewable Energy Laboratory (NREL), Laboratory Directed Research and Development (LDRD) Program
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1419163
- Report Number(s):
- NREL/PR-5000-70716
- Resource Relation:
- Conference: Presented at WindTech2017, 24-26 October 2017, Boulder, Colorado
- Country of Publication:
- United States
- Language:
- English
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