Abstract
There are increasing constraints on the development of wind power on land. Recently, there has been a move to develop wind power offshore, though the amount of measured wind speed data at potential offshore wind farm sites is sparse. We present a novel methodology for the prediction of offshore wind power resources which is being applied to European Union waters. The first stage is to calculate the geostrophic wind from long-term pressure fields over the sea area of interest. Secondly, the geostrophic wind is transformed to the sea level using WA{sup s}P, taking account of near shore topography. Finally, these values are corrected for land/sea climatology (stability) effects using an analytical Coastal discontinuity Model (CDM). These values are further refined using high resolution offshore data at selected sites. The final values are validated against existing offshore datasets. Preliminary results are presented of the geostrophic wind speed validation in European Union waters. (au)
Watson, S J;
Watson, G M;
[1]
Holt, R.J. Barthelmie, R.J.;
[2]
[3]
Zuylen, E.J. van Cleijne, J.W.
[4]
[5]
- Rutherford Appleton Lab., Oxfordshire (United Kingdom)
- Univ. of East Anglia, Climatic Research Unit, Norwich (United Kingdom)
- Risoe National Lab., Dept. of Wind Energy and Atmospheric Physics, Roskilde (Denmark)
- Ecofys Energy and Environment, Utrecht (Netherlands)
- Kema Sustainable, Arnhem (Netherlands)
Citation Formats
Watson, S J, Watson, G M, Holt, R.J. Barthelmie, R.J., and Zuylen, E.J. van Cleijne, J.W.
A methodology for the prediction of offshore wind energy resources.
Denmark: N. p.,
1999.
Web.
Watson, S J, Watson, G M, Holt, R.J. Barthelmie, R.J., & Zuylen, E.J. van Cleijne, J.W.
A methodology for the prediction of offshore wind energy resources.
Denmark.
Watson, S J, Watson, G M, Holt, R.J. Barthelmie, R.J., and Zuylen, E.J. van Cleijne, J.W.
1999.
"A methodology for the prediction of offshore wind energy resources."
Denmark.
@misc{etde_679619,
title = {A methodology for the prediction of offshore wind energy resources}
author = {Watson, S J, Watson, G M, Holt, R.J. Barthelmie, R.J., and Zuylen, E.J. van Cleijne, J.W.}
abstractNote = {There are increasing constraints on the development of wind power on land. Recently, there has been a move to develop wind power offshore, though the amount of measured wind speed data at potential offshore wind farm sites is sparse. We present a novel methodology for the prediction of offshore wind power resources which is being applied to European Union waters. The first stage is to calculate the geostrophic wind from long-term pressure fields over the sea area of interest. Secondly, the geostrophic wind is transformed to the sea level using WA{sup s}P, taking account of near shore topography. Finally, these values are corrected for land/sea climatology (stability) effects using an analytical Coastal discontinuity Model (CDM). These values are further refined using high resolution offshore data at selected sites. The final values are validated against existing offshore datasets. Preliminary results are presented of the geostrophic wind speed validation in European Union waters. (au)}
place = {Denmark}
year = {1999}
month = {Mar}
}
title = {A methodology for the prediction of offshore wind energy resources}
author = {Watson, S J, Watson, G M, Holt, R.J. Barthelmie, R.J., and Zuylen, E.J. van Cleijne, J.W.}
abstractNote = {There are increasing constraints on the development of wind power on land. Recently, there has been a move to develop wind power offshore, though the amount of measured wind speed data at potential offshore wind farm sites is sparse. We present a novel methodology for the prediction of offshore wind power resources which is being applied to European Union waters. The first stage is to calculate the geostrophic wind from long-term pressure fields over the sea area of interest. Secondly, the geostrophic wind is transformed to the sea level using WA{sup s}P, taking account of near shore topography. Finally, these values are corrected for land/sea climatology (stability) effects using an analytical Coastal discontinuity Model (CDM). These values are further refined using high resolution offshore data at selected sites. The final values are validated against existing offshore datasets. Preliminary results are presented of the geostrophic wind speed validation in European Union waters. (au)}
place = {Denmark}
year = {1999}
month = {Mar}
}