2022
DOI: 10.1002/we.2768
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An independent analysis of bias sources and variability in wind plant pre‐construction energy yield estimation methods

Abstract: The wind resource assessment community has long had the goal of reducing the bias between wind plant pre-construction energy yield assessment (EYA) and the observed annual energy production (AEP). This comparison is typically made between the 50% probability of exceedance (P50) value of the EYA and the long-term corrected operational AEP (hereafter OA AEP) and is known as the P50 bias. The industry has critically lacked an independent analysis of bias investigated across multiple consultants to identify the gr… Show more

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Cited by 3 publications
(1 citation statement)
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“…Together, these two quantities are central to the assessment of turbine suitability. Uncertainty in these quantities is a key factor in the bias and uncertainty of energy yield analyses [2]. The need to better understand the wind resource and farm-scale wind interactions has been highlighted one of the grand challenges of wind energy [3].…”
Section: Introductionmentioning
confidence: 99%
“…Together, these two quantities are central to the assessment of turbine suitability. Uncertainty in these quantities is a key factor in the bias and uncertainty of energy yield analyses [2]. The need to better understand the wind resource and farm-scale wind interactions has been highlighted one of the grand challenges of wind energy [3].…”
Section: Introductionmentioning
confidence: 99%