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Wind energy assessment and wind farm simulation in Triunfo – Pernambuco, Brazil

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  • de Araujo Lima, Laerte
  • Bezerra Filho, Celso Rosendo

Abstract

This paper presents a wind energy assessment and a wind farm simulation in the city of Triunfo in the state of Pernambuco in the northeast region of Brazil. The wind data were obtained from the SONDA (Sistema de Organização Nacional de Dados Ambientais) project’s meteor station (wind speed, wind direction and temperature) at both heights of 50 m during a period of time of 30 months. The Triunfo wind characterization and wind power potential assessment study shows an average wind speed (V) of 11.27 m/s (predominant Southeast wind direction), an average wind power density (P/AT) of 1.672 W/m2 and Weibull parameters shape (K) and scale (A) respectively equal to 2.0 and 12.7 m/s. Those values demonstrate an important wind potential in this region for future wind farm prospection. The wind farm (TRI) was simulated by using 850 kW wind turbines given a total of 20 MW installed. The simulated results show(s) an AEP (annual energy produced) of 111.4 GWh, a capacity factor (Cf) of 62% and a total of 5.462 h of operation by year (full load hours). The economical simulated results show(s) a Pay-back of 3 years Internal Rate of Return (IRR) of 47% and Net Present Value (NPV) of 85.506 k€ (both in a period of time of 20 years).

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  • de Araujo Lima, Laerte & Bezerra Filho, Celso Rosendo, 2010. "Wind energy assessment and wind farm simulation in Triunfo – Pernambuco, Brazil," Renewable Energy, Elsevier, vol. 35(12), pages 2705-2713.
  • Handle: RePEc:eee:renene:v:35:y:2010:i:12:p:2705-2713
    DOI: 10.1016/j.renene.2010.04.019
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    as
    1. Jowder, Fawzi A.L., 2009. "Wind power analysis and site matching of wind turbine generators in Kingdom of Bahrain," Applied Energy, Elsevier, vol. 86(4), pages 538-545, April.
    2. Ahmed Shata, A.S. & Hanitsch, R., 2008. "Electricity generation and wind potential assessment at Hurghada, Egypt," Renewable Energy, Elsevier, vol. 33(1), pages 141-148.
    3. Ucar, Aynur & Balo, Figen, 2009. "Investigation of wind characteristics and assessment of wind-generation potentiality in Uludag-Bursa, Turkey," Applied Energy, Elsevier, vol. 86(3), pages 333-339, March.
    4. Zhou, Wei & Yang, Hongxing & Fang, Zhaohong, 2006. "Wind power potential and characteristic analysis of the Pearl River Delta region, China," Renewable Energy, Elsevier, vol. 31(6), pages 739-753.
    5. Kose, Ramazan & Ozgur, M. Arif & Erbas, Oguzhan & Tugcu, Abtullah, 2004. "The analysis of wind data and wind energy potential in Kutahya, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(3), pages 277-288, June.
    6. Chang, Tsang-Jung & Wu, Yu-Ting & Hsu, Hua-Yi & Chu, Chia-Ren & Liao, Chun-Min, 2003. "Assessment of wind characteristics and wind turbine characteristics in Taiwan," Renewable Energy, Elsevier, vol. 28(6), pages 851-871.
    7. Hrayshat, Eyad S., 2007. "Wind resource assessment of the Jordanian southern region," Renewable Energy, Elsevier, vol. 32(11), pages 1948-1960.
    8. Omer, Abdeen Mustafa, 2008. "On the wind energy resources of Sudan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(8), pages 2117-2139, October.
    9. Elamouri, M. & Ben Amar, F., 2008. "Wind energy potential in Tunisia," Renewable Energy, Elsevier, vol. 33(4), pages 758-768.
    10. Youcef Ettoumi, Fatiha & Adane, Abd El Hamid & Benzaoui, Mohamed Lassaad & Bouzergui, Nabila, 2008. "Comparative simulation of wind park design and siting in Algeria," Renewable Energy, Elsevier, vol. 33(10), pages 2333-2338.
    11. Cadenas, Erasmo & Rivera, Wilfrido, 2007. "Wind speed forecasting in the South Coast of Oaxaca, México," Renewable Energy, Elsevier, vol. 32(12), pages 2116-2128.
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