Year-to-year correlation, record length, and overconfidence in wind resource assessment
-
2016
-
Details
-
Journal Title:Wind Energy Science
-
Personal Author:
-
NOAA Program & Office:
-
Description:Interannual variability of wind speeds presents a fundamental source of uncertainty in preconstruction energy estimates. Our analysis of one of the longest and geographically most widespread extant sets of instrumental wind-speed observations (62-year records from 60 stations in Canada) shows that deviations from mean resource levels persist over many decades, substantially increasing uncertainty. As a result of this persistence, the performance of each site's last 20 years diverges more widely than expected from the P50 level estimated from its first 42 years: half the sites have either fewer than 5 or more than 15 years exceeding the P50 estimate. In contrast to this 10-year-wide interquartile range, a 4-year-wide range (2.5 times narrower) was found for "control" records where statistical independence was enforced by randomly permuting each station's historical values. Similarly, for sites with capacity factor of 0.35 and interannual variability of 6 %, one would expect 9 years in 10 to fall in the range 0.32–0.38; we find the actual 90 % range to be 0.27–0.43, or three times wider. The previously un-quantified effect of serial correlations favors a shift in resource-assessment thinking from a climatology-focused approach to a persistence-focused approach: for this data set, no improvement in P50 error is gained by using records longer than 4–5 years, and use of records longer than 20 years actually degrades accuracy.
-
Source:Wind Energy Science, 1(2), 115-128
-
DOI:
-
ISSN:2366-7451
-
Format:
-
Publisher:
-
Document Type:
-
License:
-
Rights Information:CC BY
-
Compliance:Library
-
Main Document Checksum:urn:sha-512:b894822fed7e6258527b648d00b02ea92e2658a4d0237aab4b30162ac20a385af37acf7c750db178b189ea98c117529852b0bdd4659523d17b75f5eb447b1741
-
Download URL:
-
File Type:
ON THIS PAGE
The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles,
guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the
NOAA IR retains documents in their original published format to ensure public access to scientific information.