Evaluation of Dynamical Downscaling Resolution Effect on Wind Energy Forecast Value for a Wind Farm in Central Sweden

Martin Haubjerg Rosgaard; Andrea  N. Hahmann; Torben Skov Nielsen; Gregor Giebel; Poul Ejnar Sørensen; Henrik Madsen

Evaluation of Dynamical Downscaling Resolution Effect on Wind Energy Forecast Value for a Wind Farm in Central Sweden

Martin Haubjerg Rosgaard, Andrea N. Hahmann, Torben Skov Nielsen, Gregor Giebel, Poul Ejnar Sørensen, Henrik Madsen

ENFOR A/S

Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review

231 Downloads (Pure)

Abstract

For any energy system relying on wind power, accurate forecasts of wind fluctuations are essential for efficient integration into the power grid. Increased forecast precision allows end-users to plan day-ahead operation with reduced risk of penalties which in turn supports the feasibility of wind energy. The present study aims to quantify value added to wind energy forecasts in the 12-48 hour leadtime by downscaling global numerical weather prediction (NWP) data from the National Centers for Environmental Prediction Global Forecast System (GFS) using the limited-area NWP model described in Skamarock et al. (2008).

Original language	English
Title of host publication	Proceedings of the 3^rd International Lund Regional-Scale Climate Modelling Workshop: 21^st Century Challenges in Regional Climate Modelling
Publication date	2014
Pages	282-283
Publication status	Published - 2014
Event	3rd International Lund Regional-Scale Climate Modelling Workshop: 21st Century Challenges in Regional Climate Modelling - Lund, Sweden Duration: 16 Jun 2014 → 19 Jun 2014 Conference number: 3 http://www.baltex-research.eu/RCM2014/

Conference

Conference	3rd International Lund Regional-Scale Climate Modelling Workshop
Number	3
Country/Territory	Sweden
City	Lund
Period	16/06/2014 → 19/06/2014
Internet address	http://www.baltex-research.eu/RCM2014/

Series	International Baltic Earth Secretariat Publications
Number	3
ISSN	2198-4247

Access to Document

ExtendedAbstractFinal published version, 1.62 MB

OpenUrl availability

Full text

Cite this

Rosgaard, M. H., Hahmann, A. N., Nielsen, T. S., Giebel, G., Sørensen, P. E., & Madsen, H. (2014). Evaluation of Dynamical Downscaling Resolution Effect on Wind Energy Forecast Value for a Wind Farm in Central Sweden. In Proceedings of the 3^rd International Lund Regional-Scale Climate Modelling Workshop: 21^st Century Challenges in Regional Climate Modelling (pp. 282-283)

Rosgaard, Martin Haubjerg ; Hahmann, Andrea N. ; Nielsen, Torben Skov et al. / Evaluation of Dynamical Downscaling Resolution Effect on Wind Energy Forecast Value for a Wind Farm in Central Sweden. Proceedings of the 3^rd International Lund Regional-Scale Climate Modelling Workshop: 21^st Century Challenges in Regional Climate Modelling. 2014. pp. 282-283 (International Baltic Earth Secretariat Publications; No. 3).

@inbook{2c200e9aa2e3421fb51644c5801569cb,

title = "Evaluation of Dynamical Downscaling Resolution Effect on Wind Energy Forecast Value for a Wind Farm in Central Sweden",

abstract = "For any energy system relying on wind power, accurate forecasts of wind fluctuations are essential for efficient integration into the power grid. Increased forecast precision allows end-users to plan day-ahead operation with reduced risk of penalties which in turn supports the feasibility of wind energy. The present study aims to quantify value added to wind energy forecasts in the 12-48 hour leadtime by downscaling global numerical weather prediction (NWP) data from the National Centers for Environmental Prediction Global Forecast System (GFS) using the limited-area NWP model described in Skamarock et al. (2008).",

author = "Rosgaard, {Martin Haubjerg} and Hahmann, {Andrea N.} and Nielsen, {Torben Skov} and Gregor Giebel and S{\o}rensen, {Poul Ejnar} and Henrik Madsen",

year = "2014",

language = "English",

series = "International Baltic Earth Secretariat Publications",

number = "3",

pages = "282--283",

booktitle = "Proceedings of the 3rd International Lund Regional-Scale Climate Modelling Workshop: 21st Century Challenges in Regional Climate Modelling",

note = "3rd International Lund Regional-Scale Climate Modelling Workshop : 21st Century Challenges in Regional Climate Modelling ; Conference date: 16-06-2014 Through 19-06-2014",

url = "http://www.baltex-research.eu/RCM2014/",

}

Rosgaard, MH, Hahmann, AN, Nielsen, TS, Giebel, G , Sørensen, PE & Madsen, H 2014, Evaluation of Dynamical Downscaling Resolution Effect on Wind Energy Forecast Value for a Wind Farm in Central Sweden. in Proceedings of the 3^rd International Lund Regional-Scale Climate Modelling Workshop: 21^st Century Challenges in Regional Climate Modelling. International Baltic Earth Secretariat Publications, no. 3, pp. 282-283, 3rd International Lund Regional-Scale Climate Modelling Workshop, Lund, Sweden, 16/06/2014.

Evaluation of Dynamical Downscaling Resolution Effect on Wind Energy Forecast Value for a Wind Farm in Central Sweden. / Rosgaard, Martin Haubjerg; Hahmann, Andrea N.; Nielsen, Torben Skov et al.
Proceedings of the 3^rd International Lund Regional-Scale Climate Modelling Workshop: 21^st Century Challenges in Regional Climate Modelling. 2014. p. 282-283 (International Baltic Earth Secretariat Publications; No. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review

TY - ABST

T1 - Evaluation of Dynamical Downscaling Resolution Effect on Wind Energy Forecast Value for a Wind Farm in Central Sweden

AU - Rosgaard, Martin Haubjerg

AU - Hahmann, Andrea N.

AU - Nielsen, Torben Skov

AU - Giebel, Gregor

AU - Sørensen, Poul Ejnar

AU - Madsen, Henrik

N1 - Conference code: 3

PY - 2014

Y1 - 2014

N2 - For any energy system relying on wind power, accurate forecasts of wind fluctuations are essential for efficient integration into the power grid. Increased forecast precision allows end-users to plan day-ahead operation with reduced risk of penalties which in turn supports the feasibility of wind energy. The present study aims to quantify value added to wind energy forecasts in the 12-48 hour leadtime by downscaling global numerical weather prediction (NWP) data from the National Centers for Environmental Prediction Global Forecast System (GFS) using the limited-area NWP model described in Skamarock et al. (2008).

AB - For any energy system relying on wind power, accurate forecasts of wind fluctuations are essential for efficient integration into the power grid. Increased forecast precision allows end-users to plan day-ahead operation with reduced risk of penalties which in turn supports the feasibility of wind energy. The present study aims to quantify value added to wind energy forecasts in the 12-48 hour leadtime by downscaling global numerical weather prediction (NWP) data from the National Centers for Environmental Prediction Global Forecast System (GFS) using the limited-area NWP model described in Skamarock et al. (2008).

UR - http://www.baltex-research.eu/RCM2014/Material/IBESPS_No.3.pdf

M3 - Conference abstract in proceedings

T3 - International Baltic Earth Secretariat Publications

SP - 282

EP - 283

BT - Proceedings of the 3rd International Lund Regional-Scale Climate Modelling Workshop: 21st Century Challenges in Regional Climate Modelling

T2 - 3rd International Lund Regional-Scale Climate Modelling Workshop

Y2 - 16 June 2014 through 19 June 2014

ER -

Rosgaard MH, Hahmann AN, Nielsen TS, Giebel G , Sørensen PE , Madsen H. Evaluation of Dynamical Downscaling Resolution Effect on Wind Energy Forecast Value for a Wind Farm in Central Sweden. In Proceedings of the 3^rd International Lund Regional-Scale Climate Modelling Workshop: 21^st Century Challenges in Regional Climate Modelling. 2014. p. 282-283. (International Baltic Earth Secretariat Publications; No. 3).

Evaluation of Dynamical Downscaling Resolution Effect on Wind Energy Forecast Value for a Wind Farm in Central Sweden

Abstract

Conference

Access to Document

OpenUrl availability

Other files and links

Fingerprint

Cite this