Wind energy analysis based on turbine and developed site power curves: A case-study of Darling City
The observed wind at a given site varies continuously as a function of time and season, increasing hub heights, topography of the terrain, prevailing weather condition etc. The quality of wind resource is one of the important site factors to be considered when assessing the wind potential of any loc...
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Published in: | Renewable energy Vol. 53; pp. 306 - 318 |
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01-05-2013
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Abstract | The observed wind at a given site varies continuously as a function of time and season, increasing hub heights, topography of the terrain, prevailing weather condition etc. The quality of wind resource is one of the important site factors to be considered when assessing the wind potential of any location for any energy project. In this study, two wind energy analysis techniques are presented: the use of direct technique where the electrical power outputs of the wind turbines at a time t are estimated using the turbine power curve(s) and the use of statistical-based technique where the power outputs are estimated based on the developed site power curve(s). The wind resource assessment at Darling site is conducted using a 5-min time series weather data collected on a 10 m height over a period of 24 months. Because of the non-linearity of the site's wind speed and its corresponding power output, the wind resources are modeled and the developed site power curve(s) are used to estimate the long term energy outputs of the wind turbines for changing weather conditions. Three wind turbines rating of 1.3 MW, 1.3 MW and 1.0 MW were selected for the energy generation based on the gauged wind resource(s) at 50, 60 and 70 m heights, respectively. The energy outputs at 50 m height using the 1.3 MW WT were compared to the energy outputs at 60 m to determine the standard height for utility scale energy generation at this site. An additional energy generation of 190.71 MWh was available by deploying the same rated turbine at a 60 m height. Furthermore, comparisons were made between the use of turbine and site power curve for wind energy analysis at the considered heights. The results show that the analysis of the energy outputs of the WTs based on the site power curve is an accurate technique for wind energy analysis as compared to the turbine power curve. Conclusions are drawn on the suitability of this site for utility scale generation based on the wind resources evaluation at different heights. |
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AbstractList | The observed wind at a given site varies continuously as a function of time and season, increasing hub heights, topography of the terrain, prevailing weather condition etc. The quality of wind resource is one of the important site factors to be considered when assessing the wind potential of any location for any energy project. In this study, two wind energy analysis techniques are presented: the use of direct technique where the electrical power outputs of the wind turbines at a time t are estimated using the turbine power curve(s) and the use of statistical-based technique where the power outputs are estimated based on the developed site power curve(s). The wind resource assessment at Darling site is conducted using a 5-min time series weather data collected on a 10 m height over a period of 24 months. Because of the non-linearity of the site's wind speed and its corresponding power output, the wind resources are modeled and the developed site power curve(s) are used to estimate the long term energy outputs of the wind turbines for changing weather conditions. Three wind turbines rating of 1.3 MW, 1.3 MW and 1.0 MW were selected for the energy generation based on the gauged wind resource(s) at 50, 60 and 70 m heights, respectively. The energy outputs at 50 m height using the 1.3 MW WT were compared to the energy outputs at 60 m to determine the standard height for utility scale energy generation at this site. An additional energy generation of 190.71 MWh was available by deploying the same rated turbine at a 60 m height. Furthermore, comparisons were made between the use of turbine and site power curve for wind energy analysis at the considered heights. The results show that the analysis of the energy outputs of the WTs based on the site power curve is an accurate technique for wind energy analysis as compared to the turbine power curve. Conclusions are drawn on the suitability of this site for utility scale generation based on the wind resources evaluation at different heights. The observed wind at a given site varies continuously as a function of time and season, increasing hub heights, topography of the terrain, prevailing weather condition etc. The quality of wind resource is one of the important site factors to be considered when assessing the wind potential of any location for any energy project. In this study, two wind energy analysis techniques are presented: the use of direct technique where the electrical power outputs of the wind turbines at a time t are estimated using the turbine power curve(s) and the use of statistical-based technique where the power outputs are estimated based on the developed site power curve(s). The wind resource assessment at Darling site is conducted using a 5-min time series weather data collected on a 10 m height over a period of 24 months. Because of the non-linearity of the site's wind speed and its corresponding power output, the wind resources are modeled and the developed site power curve(s) are used to estimate the long term energy outputs of the wind turbines for changing weather conditions. Three wind turbines rating of 1.3 MW, 1.3 MW and 1.0 MW were selected for the energy generation based on the gauged wind resource(s) at 50, 60 and 70 m heights, respectively. The energy outputs at 50 m height using the 1.3 MW WT were compared to the energy outputs at 60 m to determine the standard height for utility scale energy generation at this site. An additional energy generation of 190.71 MWh was available by deploying the same rated turbine at a 60 m height. Furthermore, comparisons were made between the use of turbine and site power curve for wind energy analysis at the considered heights. The results show that the analysis of the energy outputs of the WTs based on the site power curve is an accurate technique for wind energy analysis as compared to the turbine power curve. Conclusions are drawn on the suitability of this site for utility scale generation based on the wind resources evaluation at different heights. |
Author | Folly, Komla A Olaofe, Zaccheus O |
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Cites_doi | 10.1016/j.apenergy.2008.08.006 10.1016/S0960-1481(97)00069-4 10.1016/S0167-6105(99)00122-1 10.1016/S0960-1481(99)00125-1 10.1016/j.renene.2003.11.009 10.1243/0957650042584357 10.1016/j.apenergy.2009.05.031 |
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Keywords | Capacity factor Time varying air density Wind turbine (WT) Wind turbulent intensity Energy analysis Site power curve(s) Wind energy Renewable energy Rayleigh distribution Wind generator |
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References | Mohandes (10.1016/j.renene.2012.11.003_bib4) 2004; 29 Bhattacharya (10.1016/j.renene.2012.11.003_bib18) 2010; 5 Waewsak (10.1016/j.renene.2012.11.003_bib20) 2011; 2 Algifri (10.1016/j.renene.2012.11.003_bib7) 1998; 13 Ackermann (10.1016/j.renene.2012.11.003_bib16) 2005 Manwell (10.1016/j.renene.2012.11.003_bib23) 2002 Fyrippis (10.1016/j.renene.2012.11.003_bib5) 2010; 87 Olaofe (10.1016/j.renene.2012.11.003_bib9) 2012 Seguro (10.1016/j.renene.2012.11.003_bib17) 2000; 85 Ayodele (10.1016/j.renene.2012.11.003_bib8) 2011 Al-Fawzan (10.1016/j.renene.2012.11.003_bib21) 2000 10.1016/j.renene.2012.11.003_bib12 10.1016/j.renene.2012.11.003_bib15 Jowder (10.1016/j.renene.2012.11.003_bib19) 2009; 86 Schwartz (10.1016/j.renene.2012.11.003_bib14) 2006 Negnevitsky (10.1016/j.renene.2012.11.003_bib3) 2009 Sfetsos (10.1016/j.renene.2012.11.003_bib1) 2000 Peros (10.1016/j.renene.2012.11.003_bib13) 2009 Akpinar (10.1016/j.renene.2012.11.003_bib6) 2004; 218 Negnevitsky (10.1016/j.renene.2012.11.003_bib11) 2007 Bhaskar (10.1016/j.renene.2012.11.003_bib2) 2010 Olaofe (10.1016/j.renene.2012.11.003_bib10) 2012; 2 Per Norgaard RISO National Laboratory (10.1016/j.renene.2012.11.003_bib22) 2004; vol. 1–5 |
References_xml | – volume: 5 start-page: 234 issue: 2 year: 2010 ident: 10.1016/j.renene.2012.11.003_bib18 article-title: A study on Weibull distribution for estimating the parameters publication-title: Journal of Applied Quantitative Methods contributor: fullname: Bhattacharya – year: 2000 ident: 10.1016/j.renene.2012.11.003_bib21 contributor: fullname: Al-Fawzan – year: 2007 ident: 10.1016/j.renene.2012.11.003_bib11 contributor: fullname: Negnevitsky – ident: 10.1016/j.renene.2012.11.003_bib12 – year: 2011 ident: 10.1016/j.renene.2012.11.003_bib8 article-title: Empirical modeling of wind speed in wind energy applications: the case study of Port Elizabeth contributor: fullname: Ayodele – ident: 10.1016/j.renene.2012.11.003_bib15 – year: 2005 ident: 10.1016/j.renene.2012.11.003_bib16 contributor: fullname: Ackermann – year: 2010 ident: 10.1016/j.renene.2012.11.003_bib2 article-title: Wind speed forecasting: present status contributor: fullname: Bhaskar – year: 2012 ident: 10.1016/j.renene.2012.11.003_bib9 article-title: Wind energy analysis on the basis of Rayleigh distribution for darling city, South Africa contributor: fullname: Olaofe – volume: 86 start-page: 538 year: 2009 ident: 10.1016/j.renene.2012.11.003_bib19 article-title: Wind power analysis and site matching of wind turbine generators publication-title: Journal of Applied Energy doi: 10.1016/j.apenergy.2008.08.006 contributor: fullname: Jowder – year: 2002 ident: 10.1016/j.renene.2012.11.003_bib23 contributor: fullname: Manwell – volume: 13 start-page: 255 year: 1998 ident: 10.1016/j.renene.2012.11.003_bib7 article-title: Wind energy potential in Aden, Yemen publication-title: Renewable Energy doi: 10.1016/S0960-1481(97)00069-4 contributor: fullname: Algifri – year: 2006 ident: 10.1016/j.renene.2012.11.003_bib14 article-title: Wind shear characteristics at Central Plains Tall Towers contributor: fullname: Schwartz – year: 2009 ident: 10.1016/j.renene.2012.11.003_bib3 contributor: fullname: Negnevitsky – volume: 85 start-page: 75 year: 2000 ident: 10.1016/j.renene.2012.11.003_bib17 article-title: Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analyses publication-title: Journal of Wind Engineering and Industrial Aerodynamics doi: 10.1016/S0167-6105(99)00122-1 contributor: fullname: Seguro – volume: vol. 1–5 year: 2004 ident: 10.1016/j.renene.2012.11.003_bib22 article-title: A multi-turbine power curve approach contributor: fullname: Per Norgaard RISO National Laboratory – volume: 2 issue: 2 year: 2012 ident: 10.1016/j.renene.2012.11.003_bib10 article-title: Statistical analysis of wind resources at darling for energy production publication-title: International Journal of Renewable Energy Research contributor: fullname: Olaofe – start-page: 23 issue: 21 year: 2000 ident: 10.1016/j.renene.2012.11.003_bib1 article-title: A comparison of various forecasting techniques to mean hourly wind speed time series publication-title: Renewable Energy doi: 10.1016/S0960-1481(99)00125-1 contributor: fullname: Sfetsos – volume: 29 start-page: 939 issue: 6 year: 2004 ident: 10.1016/j.renene.2012.11.003_bib4 article-title: Support vector machines for wind speed prediction publication-title: Renewable Energy doi: 10.1016/j.renene.2003.11.009 contributor: fullname: Mohandes – year: 2009 ident: 10.1016/j.renene.2012.11.003_bib13 article-title: Wind shear characteristics of local winds contributor: fullname: Peros – volume: 218 start-page: 557 year: 2004 ident: 10.1016/j.renene.2012.11.003_bib6 article-title: Statistical analysis of wind energy potentials on the basis of Weibull and Rayleigh distributions for Agin-Elazig, Turkey publication-title: Journal of Power and Energy doi: 10.1243/0957650042584357 contributor: fullname: Akpinar – volume: 87 start-page: 577 year: 2010 ident: 10.1016/j.renene.2012.11.003_bib5 article-title: Wind energy potential assessment in Naxos Island, Greece publication-title: Applied Energy doi: 10.1016/j.apenergy.2009.05.031 contributor: fullname: Fyrippis – volume: 2 start-page: 51 year: 2011 ident: 10.1016/j.renene.2012.11.003_bib20 article-title: An analysis of wind speed distribution at Thasala, Nakhon Si Thammarat, Thailand publication-title: Journal of Sustainable Energy and Environment contributor: fullname: Waewsak |
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SubjectTerms | Applied sciences electric power Electric power generation Energy Energy use Exact sciences and technology Mathematical models meteorological data Natural energy time series analysis topography Turbines Weather conditions Wind energy wind power Wind power generation wind speed Wind turbines |
Title | Wind energy analysis based on turbine and developed site power curves: A case-study of Darling City |
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