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Uncertainties Connected to Long-term Correction ofWind Observations
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences. (LUVAL-meteorology)
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences. (LUVAL-meteorology)
Weathertech Scandinavia AB. (LUVAL-meteorology)
2014 (English)In: Wind Engineering, Vol. 38, no 3, 233-248 p.Article in journal (Refereed) Published
Abstract [en]

Good knowledge about on-site wind climate is necessary in wind power assessments. Due to yearly and natural variability, a few years' measurements do not give information about wind climate. Long-term reference data can be used to correct observations to better correspond a normal year. The method doing this is commonly referred to as measure-correlate-predict (MCP). Uncertainties are introduced in predicted wind climate due to method weaknesses. In this paper uncertainties connected to length and season of on-site measurements are studied. An on-site series of 29 years, different MCP-methods and reanalysis datasets have been used. An additional high-resolution model dataset has been used to study variation within a wind farm. At least 12 months of observations and a long-term reference longer than 15 year are recommended. Large seasonal influences are seen; summer periods tend to overestimate while winter periods underestimate wind climate.

Place, publisher, year, edition, pages
Metapress , 2014. Vol. 38, no 3, 233-248 p.
Keyword [en]
wind climatelong-term correctionmeasure-correlate-predictMCPseasonal variationon-site measurements
National Category
Meteorology and Atmospheric Sciences
Research subject
Meteorology
Identifiers
URN: urn:nbn:se:uu:diva-242367DOI: 10.1260/0309-524X.38.3.233OAI: oai:DiVA.org:uu-242367DiVA: diva2:783407
Projects
LUVAL-meteorology
Funder
StandUp for Wind
Available from: 2015-01-26 Created: 2015-01-26 Last updated: 2015-01-26

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