This paper investigates optimum siting of wind turbine generators from the viewpoint of site and wind turbine generator selection. This analysis methodology is done at the planning and development stages of installation of wind power stations will enable the wind power developer or the power utilities to make a judicious and rapidly choice of potential site and wind turbine generator system from the available potential sites and wind turbine generators respectively. The methodology of analysis is based on the computations of annual capacity factors, which are done using the Weibull distribution function and power curve model. This method is applied to install a wind energy conversion system at four sites in Algeria.
| Published in | Science Journal of Energy Engineering (Volume 2, Issue 4) |
| DOI | 10.11648/j.sjee.20140204.12 |
| Page(s) | 36-46 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2014. Published by Science Publishing Group |
Probability Density Function, Power Curve Law, Capacity Factors, Wind Turbine Generators, Optimum Siting, Energy Output
| [1] | C. G. Justus, “Nationwide assessment of potential power output from aero-generators”. in Proc. 2nd U.S. Nat. Conf. Wind Engineering Research, Ft. Collins, CO, Jun. 22–25, 1975. |
| [2] | J. P. Hennessey, Jr., “Some aspects of wind power statistics, and performance analysis of a 6MWwind turbine-generator”. J. Appl. Meteorol., vol. 16, no. 2, pp. 119–28, Feb. 1997. |
| [3] | R. B. Corotis, “Stochastic Modeling of Site Wind Characteristics”, ERDA Rep. RLO/2342-77/2, Sep. 1977. |
| [4] | R. B. Corotis, A. B. Sigl, and J. Klein, “Probability modeling of wind velocity magnitude and persistence,” Sol. Energy, vol. 20, no. 6, pp. 483–93, 1978. |
| [5] | Rosen KR, Van Buskirk R, Garbesi K. “Wind energy potential of coastal Eritrea: an analysis of sparse wind data”. Solar Energy 1999; 66 (3):201–13. |
| [6] | Li G. “Feasibility of large scale offshore wind power for Hong Kong a preliminary study”. Renewable Energy, 21; 2000; pp 387- 402. |
| [7] | Lu L, Yang H, Burnett J. “Investigation on wind power potential on Hong Kong an analysis of wind power and wind turbine characteristics”. Renewable Energy 27; 2002; pp 1–12. |
| [8] | Mathew S, Pandey KP, Kumar A. “Analysis of wind regimes for energy estimation”. Renewable Energy 25: 2002; pp 81–99. |
| [9] | Corotis RB, Sigl AB, Klein J. “Probability models of wind velocity magnitude and persistence”. Solar Energy 1978; 20:483–93. |
| [10] | Rehman S, Halawani TO, Husain T. “Weibull parameters for wind speed distribution in Saudi Arabia”. Solar Energy 1994;53(6):473–9. |
| [11] | Beyer HG, Nottebaum K. “Synthesis of long-term hourly wind speed time series on the basis of European Wind Atlas data”. Solar Energy 1995;54(5):351–5. |
| [12] | Lun IYF, Lam JC. “A study of Weibull parameters using long-term wind observations”. Renewable Energy 2000; 20:145–53. |
| [13] | Tsang-Jung Chang, Yu-Ting Wu, Hua-Yi Hsu, Chia-Ren Chu, Chun-Min Liao “Assessment of wind characteristics and wind turbine characteristics in Taiwan” Renewable Energy 28 (2003) 851–871 |
| [14] | Pallabazzer R. “Evaluation of wind-generator potentiality”. Sol Energy, 1995; 55:49–59. |
| [15] | Stevens MJM, Smulders PT. “The estimation of the parameters of the Weibull wind speed distribution for wind energy utilization purposes”. Wind Eng 1979; 3(2):132–45. |
| [16] | Akpinar, EK, Akpinar, S: An assessment on seasonal analysis of wind energy characteristics and wind turbine characteristics. Energy Conversion and Management 46, 1848–67 (2005) |
| [17] | N.Vaughn, “Renewable Energy and the Environment “,, CRC Press, Ed. 2009 pp 63 -101 |
| [18] | Gary L. Johnson “WIND ENERGY SYSTEMS”, Electronic Edition Manhattan, October 10, 2006, pp. 61-70-157 |
| [19] | O.A. Jaramillo, M.A. Borja, “Winds peed analysis in La Ventosa, Mexico a bimodal probability distribution case”, |
| [20] | Renewable Energy 29 (2004), Elsevier, pp. 1624-1628 |
| [21] | Balouktsis, A, Chassapis, D, Karapantsios, TD: A nomogram method for estimating the energy produced by wind turbine generators. Solar Energy 72, 251–259 (2002) |
| [22] | Pallabazzer R. “Parametric analysis of wind siting efficiency”, J. Wind Eng Ind Aerodyn 2003; 91:1329-1352. |
| [23] | Justus C.G., Mikhail W.R. “Height variation of wind speed and wind distributions statistics”, Geophysical Research Letters. 1976. Vol. 3, No 5. P. 261-264 |
| [24] | Tenneekes A., “The logarithmic wind profile” , J. of Atmospheric sciences, vol. 30, pp. 234:238, 1973. |
| [25] | Mikhail A.S, “Height Extrapolation of Wind Data” , ASME, vol. 107, pp. 10- 14, 1985. |
| [26] | Poje S., B. Cividini, “Assessment of Wind Energy Potential in Croatia”, Solar Energy, Vol.41 N°6 pp 543 554, 1988. |
APA Style
M. Bencherif, B. N. Brahmi, A. Chikhaoui. (2014). Optimum Selection of Wind Turbines. Science Journal of Energy Engineering, 2(4), 36-46. https://doi.org/10.11648/j.sjee.20140204.12
ACS Style
M. Bencherif; B. N. Brahmi; A. Chikhaoui. Optimum Selection of Wind Turbines. Sci. J. Energy Eng. 2014, 2(4), 36-46. doi: 10.11648/j.sjee.20140204.12
AMA Style
M. Bencherif, B. N. Brahmi, A. Chikhaoui. Optimum Selection of Wind Turbines. Sci J Energy Eng. 2014;2(4):36-46. doi: 10.11648/j.sjee.20140204.12
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.sjee.20140204.12,
author = {M. Bencherif and B. N. Brahmi and A. Chikhaoui},
title = {Optimum Selection of Wind Turbines},
journal = {Science Journal of Energy Engineering},
volume = {2},
number = {4},
pages = {36-46},
doi = {10.11648/j.sjee.20140204.12},
url = {https://doi.org/10.11648/j.sjee.20140204.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjee.20140204.12},
abstract = {This paper investigates optimum siting of wind turbine generators from the viewpoint of site and wind turbine generator selection. This analysis methodology is done at the planning and development stages of installation of wind power stations will enable the wind power developer or the power utilities to make a judicious and rapidly choice of potential site and wind turbine generator system from the available potential sites and wind turbine generators respectively. The methodology of analysis is based on the computations of annual capacity factors, which are done using the Weibull distribution function and power curve model. This method is applied to install a wind energy conversion system at four sites in Algeria.},
year = {2014}
}
TY - JOUR T1 - Optimum Selection of Wind Turbines AU - M. Bencherif AU - B. N. Brahmi AU - A. Chikhaoui Y1 - 2014/08/20 PY - 2014 N1 - https://doi.org/10.11648/j.sjee.20140204.12 DO - 10.11648/j.sjee.20140204.12 T2 - Science Journal of Energy Engineering JF - Science Journal of Energy Engineering JO - Science Journal of Energy Engineering SP - 36 EP - 46 PB - Science Publishing Group SN - 2376-8126 UR - https://doi.org/10.11648/j.sjee.20140204.12 AB - This paper investigates optimum siting of wind turbine generators from the viewpoint of site and wind turbine generator selection. This analysis methodology is done at the planning and development stages of installation of wind power stations will enable the wind power developer or the power utilities to make a judicious and rapidly choice of potential site and wind turbine generator system from the available potential sites and wind turbine generators respectively. The methodology of analysis is based on the computations of annual capacity factors, which are done using the Weibull distribution function and power curve model. This method is applied to install a wind energy conversion system at four sites in Algeria. VL - 2 IS - 4 ER -
Email: