JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Evaluating the Output of Small-size Wind Power Generators Using Weibull Data
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Evaluating the Output of Small-size Wind Power Generators Using Weibull Data
You, Ki-Pyo; Kim, Young-Moon;
  PDF(new window)
 Abstract
This study purposed to predict wind energy for small size wind power generators at 50m above the ground in each area using mean wind speed data for 10 minutes collected from 2001 to 2011 by meteorological data in large cities having over 60% of 15 story (50m) or higher apartments including Seoul, Daejeon, Gwangju and Daegu representing the inland region, and Busan, Incheon and Ulsan representing the coastal region. In the results of analysis, we confirmed close agree ment between observatory weather data and probability density distribution obtained using Weibull`s parameters, and this suggests that Weibull`s parameter is applicable to the estimation of wind energy. Hourly output energy using the mean wind speed for 10 minutes and output energy obtained from Weibull`s parameter showed an error less than 5%, and thus it was found that wind energy can be evaluated using Weibull`s modulus.
 Keywords
Meteorological Data;Wind Power;mean wind speed;Weibull Parameter;Output Energy;
 Language
Korean
 Cited by
 References
1.
.Seguro, J.A. et al., Modern Estimation oftheParametersoftheWeibullWind Speed Distribution for Wind Energy Analysis, Jornal of Wind Engineering and Industrial Aerodynamic, 85, 2000, pp.75-84 crossref(new window)

2.
Jing, L. et al., Wind Potential Assessment of Fu-jian Provincein China, Environmental Informatics Archives, 4, 2006, pp.67-75

3.
Weisser, D.A Wind Energy Analysis of Grenda: an Estimation using the 'Weibull' Density Function. Renewable Energy, 28, 2003, pp.1803-1812 crossref(new window)

4.
Lu, L et al., Inverstigation of Wind Power Potential on Hong Kong Islands-an Analysis of Wind Power and Wind turbine Characteristics. Renewable Energy. 27, 2002, pp.1-12 crossref(new window)

5.
Bivona, S. et al. Hourly Wind Speed Analysis in Sicily, Renewable Energy.28, 2003, pp.1371-1385 crossref(new window)

6.
Durak, M. et al. Wind Power Potential in Turkey and Akhisar Case Study. Renewable Energy.25, 2002, pp.463-472 crossref(new window)

7.
Celik, A. Energy Output Estimation for Small-Scale Wind Power Generators using Weibull-Representative Wind Data, Journal of Wind Engineering and Industrial Aerodynamics. 91, 2003, pp.693-707 crossref(new window)

8.
Lambert T.W. et. al. Modern Estimation of the Parameters of the Weibull Wind Speed Distribution for Wind Energy Analysis, Journal of Wind Engineering and Industrial Aerodynamics. 85, 2000, pp.75-84 crossref(new window)

9.
Lun J.C, et, al. A Study of Weibull Parameters using Long-Term Wind Observation, Renewable Energy.20, 2000, pp.145-153 crossref(new window)

10.
Carica A, et. al. Fitting Wind Speed Distribution: a Case Study, Solar Energy, 62, 1998, 139-144 crossref(new window)