Browse > Article
http://dx.doi.org/10.7836/kses.2015.35.2.033

A Feasibility Study on Annual Energy Production of the Offshore Wind Farm using MERRA Reanalysis Data  

Song, Yuan (Dept. of Convergence System Engineering, Kangwon National University)
Kim, Hyungyu (Dept. of Convergence System Engineering, Kangwon National University)
Byeon, Junho (Dept. of Convergence System Engineering, Kangwon National University)
Paek, Insu (Dept. of Mechanical and Mechatronics Engineering, Kangwon National University)
Yoo, Neungsoo (Dept. of Mechanical and Mechatronics Engineering, Kangwon National University)
Publication Information
Journal of the Korean Solar Energy Society / v.35, no.2, 2015 , pp. 33-41 More about this Journal
Abstract
A feasibility study to estimate annual energy production of an offshore wind farm was performed using MERRA reanalysis data. Two well known commercial codes commonly used to wind farm design and power prediction were used. Three years of MERRA data were used to predict annual energy predictions of the offshore wind farm close to Copenhagen from 2011 to 2013. The availability of the wind farm was calculated from the power output data available online. It was found from the study that the MERRA reanalysis data with commercial codes could be used to fairly accurately predict the annual energy production from offshore wind farms when a meteorological mast is not available.
Keywords
Offshore Wind Farm; AEP; MERRA Reanalysis Data; Feasibility Study;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Roland Berger, Offshore Wind Toward 2020-On the Pathway To Cost Competitiveness, Roland Berger Strategy Consultants, 2013
2 Offshore Wind Farm Council, the Southwest 2.5GW offshore wind energy synthesis promotion plan, Ministry of Knowledge Economy, 2011
3 Schwartz, M., George, R., & Elliott, D. The Use of Reanalysis Data for Wind Resource Assessment at the National Renewable Energy Laboratory. In EWEC-CONFERENCE, pp. 1093-1096, 1999
4 Kim, B. M., Woo, J. K., Kim, H. G., Paek, I. S., & Yoo, N. S. Validation Study of the NCAR Reanalysis Data for a Offshore Wind Energy Prediction. Journal of the Korean Solar Energy Society, Vol. 32, No. 1, pp. 1-7. 2012   DOI
5 Rienecker, M. M., Suarez, M. J., Gelaro, R., Todling, R., Bacmeister, J., Liu, E., ... & Woollen, J., MERRA: NASA's Modern-era Retrospective analysis for Research and Applications. Journal of Climate, Vol. 24, No.14, pp. 3624-3648, 2011   DOI   ScienceOn
6 Jimenez, B., Monnich, K., & Durante, F. Comparison between NCEP/NCAR and MERRA Reanalysis Data for Long Term Correction in Wind Energy Assessment. The European Wind Energy Association, 2012
7 LORC Knowledge, http://www.lorc.dk/ offshore-windfarms-map/middelgrunden, 2014
8 U.S. Geological Survey, http://srtm.usgs.gov/, 2014
9 WAsP,DTU Wind Energy, Riso Campus, Denmark, http://www.wasp.dk/Support-and-services/FAQ, 2014
10 Global Modeling and Assimilation Office Earth Sciences Division, GAO Office Note No. 1(Version 2.3), 2012
11 MEASNET Organisation, Evaluation of Site-Specific Wind Conditions Version 1, pp.11-13, 2009
12 Riso National Laboratory, Roskilde, Denmark, European Wind Atlas, The Commission of the European Communities Directorate-General for Science, Research and Development, 1989
13 EMD, WindPRO Ver 2.8 Manual, http://www.emd.dk, 2013
14 Middelgrundens Vindmollelaug I/S, http://www.middelgrund.dk, 2014