Designing an index for assessing wind energy potential

  • Ritter M
  • Shen Z
  • López Cabrera B
 et al. 
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To meet the increasing global demand for renewable energy, such as wind energy, an increasing number of wind parks are being constructed worldwide. Finding a suitable location requires a detailed and often costly analysis of local wind conditions. Plain average wind speed maps cannot provide a precise forecast of wind power because of the non-linear relationship between wind speed and production. We suggest a new approach to assess the local wind energy potential. First, meteorological reanalysis data are applied to obtain long-term low-scale wind speed data at specific turbine locations and hub heights. Second, the relation between wind data and energy production is determined via a five parameter logistic function using actual high-frequency energy production data. The resulting wind energy index allows for a turbine-specific estimation of the expected wind power at an unobserved location. A map of the wind power potential for Germany exemplifies our approach.

Author-supplied keywords

  • Energy production
  • Onshore wind
  • Renewable energy
  • Wind power

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  • Matthias Ritter

  • Zhiwei Shen

  • Brenda López Cabrera

  • Martin Odening

  • Lars Deckert

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