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Current Status and Challenges in Wind Energy Assessment

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Abstract

Here we discuss the status and challenges in the development of atlases for the assessment of the regional and global wind resources. The text more specifically describes a methodology that is under development at DTU Wind Energy in Denmark. As the wind assessment is based on mesoscale modelling, some of the specific challenges in mesoscale modelling for wind energy purposes are discussed such as wind profiles and long-term statistics of the wind speed time series. Solutions to these challenges will help secure an economic and effective deployment of wind energy.

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Abbreviations

4DVar:

Four-dimensional variational

AGL:

Above ground level

ASTER:

Advanced Spaceborne Thermal Emission and Reflection Radiometer

BouLac:

Bougeault-Lacarrère PBL

CFDDA:

NCAR Climate four-dimensional data assimilation

CFSR:

NOAA Climate forecast system reanalysis

CORINE:

Coordination of information on the environment

DEM:

Digital Elevation Map

DTU:

Technical University of Denmark

EU:

European Union

EEA:

European Environment Agency

ECMWF:

European Centre for Medium-Range Weather Forecasts

ERA Interim:

ECMWF Interim Reanalysis

ESA:

European Space Agency

FDDA:

Four-dimensional data assimilation (nudging)

FINO:

German Research Platform in the North and East Sea (Forschungsplattformen in Nord- und Ostsee)

FINO1:

FINO platform 1 (German North Sea)

FINO2:

FINO platform 2 (German Baltic Sea)

FNL:

NCEP Final Analysis

FROGFOOT:

Program for WAsP calculations over large areas

GEOS5:

NASA Goddard Earth Observing System Model, Version 5

GFS:

NOAA Global Forecast System

HRSST:

High-resolution SST

LCCS:

Land cover classification system

MERRA:

Modern Era Retrospective Analysis for Research and Applications

MM5:

Mesoscale Model Version 5 (predecessor of WRF)

MYJ:

Mellor-Yamada-Janjic PBL scheme

MYNN2:

Mellor-Yamada-Nakanishi-Niino Level 2 PBL scheme

MYNN3:

Mellor-Yamada-Nakanishi-Niino Level 3 PBL scheme

NASA:

National Space Administration (USA)

NCAR:

National Center for Atmospheric Research (USA)

NCEP:

NOAA National Center for Environmental Prediction (USA)

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Acknowledgements

The study was supported by the Danish Council for Strategic Research, project number 2104-08-0025 named “Tall Wind”, the EC FP7 project NORSEWIND (TREN-FP7EN-219048), and the Danish Energy Agency (grant EUDP 11-II, Globalt Vind Atlas, 64011–0347). The study is a part of activities within the COST Actions ES1002 and ES0702. We would like to thank the Test and Measurements section of DTU Wind Energy for the maintenance of the Høvsøre database.

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Authors and Affiliations

  1. DTU Wind Energy, Technical University of Denmark, Risø Campus, 4000, Roskilde, Denmark

    Sven-Erik Gryning, Jake Badger, Andrea N. Hahmann & Ekaterina Batchvarova

  2. National Institute of Meteorology and Hydrology, Sofia, Bulgaria

    Ekaterina Batchvarova

Authors
  1. Sven-Erik Gryning
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  2. Jake Badger
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  3. Andrea N. Hahmann
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  4. Ekaterina Batchvarova
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Corresponding author

Correspondence to Sven-Erik Gryning .

Editor information

Editors and Affiliations

  1. Pye Laboratory, CSIRO Marine and Atmospheric Research, Canberra, Aust Capital Terr, Australia

    Alberto Troccoli

  2. EDF - R&D, Chatou, France

    Laurent Dubus

  3. Research Applications Laboratory, Haupt Associates, Boulder, Colorado, USA

    Sue Ellen Haupt

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Gryning, SE., Badger, J., Hahmann, A.N., Batchvarova, E. (2014). Current Status and Challenges in Wind Energy Assessment. In: Troccoli, A., Dubus, L., Haupt, S. (eds) Weather Matters for Energy. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-9221-4_13

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