Factorial analysis of selected factors affecting the electricity production of onshore wind farms

International Journal of Energy for a Clean Environment

Volumn 12, Issue 1, 2011, Pages 67-77

  Ramos, Carmen A ^a   Ramirez, David ^b   Jin, Kai ^a   Li, Hua ^a  

^a TEXAS A AND M UNIVERSITY KINGSVILLE   (United States)

^b Texas AandM University Kingsville   (United States)

Author keywords

Energy output; Factorial analysis; Statistical method; Wind farm

Indexed keywords

ANNUAL PRODUCTION; ELECTRICITY PRODUCTION; ENERGY OUTPUT; FACTORIAL ANALYSIS; GENERAL DESIGNS; GENERATE ELECTRICITY; POWER OUT PUT; WIND FARM;

ELECTRIC UTILITIES; STATISTICAL METHODS; WIND EFFECTS;

ONSHORE WIND FARMS;

ALTERNATIVE ENERGY; ELECTRICITY GENERATION; FACTOR ANALYSIS; PARAMETERIZATION; PRECIPITATION (CLIMATOLOGY); PRODUCTIVITY; STATISTICAL ANALYSIS; TEMPERATURE PROFILE; WIND FARM; WIND POWER; WIND VELOCITY;

UNITED STATES;

EID: 84875474647     PISSN: 21503621     EISSN: 2150363X     Source Type: Journal    
DOI: 10.1615/InterJEnerCleanEnv.2012004413     Document Type: Article

References (13)

1. Gamboa, G. and Munda, G., The problem of windfarm location: A social multi-criteria evaluation framework, Energy Policy, vol. 35 no. 3, pp. 1564-1583, 2007.
2. Gonzales, J. S., Gonzalez, A. G., Mora, J. C., Santos J. R., and Burgos, M., Optimization of wind farm turbines layout using an evolutive algorithm, Renewable Energy, vol. 35 no. 8, pp. 1671- 1681, 2010.
3. Kariniotakis, G., Nogaret, N.E., and Stavrakakis, G., Advanced short-term forecasting of wind power production, European Wind Energy Conference, Dublin Castle, Ireland: EWEA, pp. 751-754, 1997.
4. Landberg, L., Predicting the power output from wind farms, European Wind Energy Conference, Dublin Castle, Ireland: EWEA, pp. 747-750, 1997.
5. Lee, A., Chen, H., and Kang, H., Multi-criteria decision making on strategic selection of wind farms, Renewable Energy, vol. 34 no. 1, pp. 120-126, 2008.
6. Ma, Y., Jiang, J., and Thordur, R., Cluster analysis of wind turbines of large wind farm, 2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009, 2009.
7. Makarov, Y., Hawkins, D., Leuze, E., and Vidov, J., California ISO wind generation forecasting service design and experience, Windpower 2002, Portland, OR: AWEA, 2002.
8. The National Climatic Data Center, retrieved on February 2011 from http://www.ncdc.noaa.gov
9. Nielsen, T.H.M., Experiences with statistical methods for wind power prediction, European Wind Energy Conference, Nice, France: EWEA, pp. 1066-1069, 1999.
10. Ramos, C.A., Texas Onshore Wind Farm Assessment Considering Several Factors Affecting Its Success, M.S. thesis, Texas A&M University-Kingsville, 2011.
11. Wang, L., Yeh, T., Lee, W., and Chen, Z., Benefit evaluation of wind turbine generators in wind farms using capacity-factor analysis and economic-cost methods. IEEE Transactions on Power Systems, vol. 24 no. 2, pp. 692-704, 2009.
12. The Wind Power Database (2005-2011), retrieved on February 2011 from www.thewindpower.net
13. Xiaojuan, H., Juncheng, L., and Xiyun, Y., Short-time wind speed prediction for wind farm based on improved neutral network, World Congress on Intelligent Control and Automation, pp. 5891- 5894, 2010.