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), 2024. Published by Science Publishing Group |
Probability Density Function, Power Curve Law, Capacity Factors, Wind Turbine Generators, Optimum Siting, Energy Output
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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
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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 -
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