Search: onr:"swepub:oai:DiVA.org:uu-362872" >
Probabilistic forec...
Probabilistic forecasting of wind power production losses in cold climates : a case study
-
- Molinder, Jennie (author)
- Uppsala universitet,Luft-, vatten- och landskapslära
-
- Körnich, Heiner (author)
- SMHI
-
- Olsson, Esbjörn (author)
- SMHI
-
show more...
-
- Bergström, Hans, 1952- (author)
- Uppsala universitet,Luft-, vatten- och landskapslära
-
- Sjöblom, Anna, Professor, 1972- (author)
- Uppsala universitet,Luft-, vatten- och landskapslära
-
show less...
-
(creator_code:org_t)
- 2018-10-09
- 2018
- English.
-
In: Wind Energy Science. - : Copernicus GmbH. - 2366-7443 .- 2366-7451. ; 3, s. 667-680
- Related links:
-
https://doi.org/10.5...
-
show more...
-
https://uu.diva-port... (primary) (Raw object)
-
https://www.wind-ene...
-
https://urn.kb.se/re...
-
https://doi.org/10.5...
-
show less...
Abstract
Subject headings
Close
- The problem of icing on wind turbines in cold climates is addressed using probabilistic forecasting to improve next-day forecasts of icing and related production losses. A case study of probabilistic forecasts was generated for a 2-week period. Uncertainties in initial and boundary conditions are represented with an ensemble forecasting system, while uncertainties in the spatial representation are included with a neighbourhood method. Using probabilistic forecasting instead of one single forecast was shown to improve the forecast skill of the ice-related production loss forecasts and hence the icing forecasts. The spread of the multiple forecasts can be used as an estimate of the forecast uncertainty and of the likelihood for icing and severe production losses. Best results, both in terms of forecast skill and forecasted uncertainty, were achieved using both the ensemble forecast and the neighbourhood method combined. This demonstrates that the application of probabilistic forecasting for wind power in cold climates can be valuable when planning next-day energy production, in the usage of de-icing systems and for site safety.
Subject headings
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Meteorologi och atmosfärforskning (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Meteorology and Atmospheric Sciences (hsv//eng)
Keyword
- ensemble prediction
- wet snow
- precipitation
- model
- strategy
- Meteorologi
- Meteorology
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
To the university's database