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Spatial interpolation and orographic correction to estimate wind energy resource in Venezuela

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  • González-Longatt, Francisco
  • Medina, Humberto
  • Serrano González, Javier

Abstract

This paper presents a wind resource assessment in Venezuela using an efficient combination of spatial interpolation and orographic correction for wind mapping. Mesoscale modelling offers a relatively accurate means to model meteorological conditions by solving the continuity and momentum equations. However, this approach is both time and computationally demanding. The methodology used in this work offers a computationally inexpensive solution by combining both a simple geo-statistical Kriging method to interpolate horizontal wind speed and an orographic correction to account for changes on terrain elevation. Hourly observations of wind speed and direction for 34 masts recorded during the period 2005–2009 have been analysed in order to define a statistical model of wind resources. The resulting method, which includes an exploratory statistical analysis of the wind data, is a computationally economical alternative to mesoscale modelling. Simulations results include equivalent mean wind speeds and wind power maps which have been created to a height of 50, 80 and 120m above the ground based on a horizontal resolution of 15×15km. Results show that the greatest wind energy resources are located in the coastal area of Venezuela with a potential for offshore applications. Preliminary findings provide a very positive evidence for offshore exploitation of wind power. Results also suggest that wind energy resources for commercial use (utility-scale) are available in northern Venezuela, additionally; they suggest excellent conditions for wind power production for micro-scale applications, both on- and off-grid.

Suggested Citation

  • González-Longatt, Francisco & Medina, Humberto & Serrano González, Javier, 2015. "Spatial interpolation and orographic correction to estimate wind energy resource in Venezuela," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 1-16.
    • Handle: RePEc:eee:rensus:v:48:y:2015:i:c:p:1-16
    DOI: 10.1016/j.rser.2015.03.042
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    as
    1. Ben Amar, F. & Elamouri, M. & Dhifaoui, R., 2008. "Energy assessment of the first wind farm section of Sidi Daoud, Tunisia," Renewable Energy, Elsevier, vol. 33(10), pages 2311-2321.
    2. Yaniktepe, B. & Koroglu, T. & Savrun, M.M., 2013. "Investigation of wind characteristics and wind energy potential in Osmaniye, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 703-711.
    3. Himri, Y. & Himri, S. & Boudghene Stambouli, A., 2009. "Assessing the wind energy potential projects in Algeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2187-2191, October.
    4. Hossain, Jami & Sinha, Vinay & Kishore, V.V.N., 2011. "A GIS based assessment of potential for windfarms in India," Renewable Energy, Elsevier, vol. 36(12), pages 3257-3267.
    5. Ozgener, Leyla, 2010. "Investigation of wind energy potential of Muradiye in Manisa, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3232-3236, December.
    6. Wu, Jie & Wang, Jianzhou & Chi, Dezhong, 2013. "Wind energy potential assessment for the site of Inner Mongolia in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 215-228.
    7. Janajreh, Isam & Su, Liu & Alan, Fathi, 2013. "Wind energy assessment: Masdar City case study," Renewable Energy, Elsevier, vol. 52(C), pages 8-15.
    8. Xydis, G. & Koroneos, C. & Loizidou, M., 2009. "Exergy analysis in a wind speed prognostic model as a wind farm sitting selection tool: A case study in Southern Greece," Applied Energy, Elsevier, vol. 86(11), pages 2411-2420, November.
    9. Cellura, M. & Cirrincione, G. & Marvuglia, A. & Miraoui, A., 2008. "Wind speed spatial estimation for energy planning in Sicily: Introduction and statistical analysis," Renewable Energy, Elsevier, vol. 33(6), pages 1237-1250.
    10. Hernández-Escobedo, Q. & Saldaña-Flores, R. & Rodríguez-García, E.R. & Manzano-Agugliaro, F., 2014. "Wind energy resource in Northern Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 890-914.
    11. Aman, M.M. & Jasmon, G.B. & Ghufran, A. & Bakar, A.H.A. & Mokhlis, H., 2013. "Investigating possible wind energy potential to meet the power shortage in Karachi," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 528-542.
    12. Himri, Y. & Rehman, S. & Agus Setiawan, A. & Himri, S., 2012. "Wind energy for rural areas of Algeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2381-2385.
    13. Mostafaeipour, A. & Sedaghat, A. & Dehghan-Niri, A.A. & Kalantar, V., 2011. "Wind energy feasibility study for city of Shahrbabak in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2545-2556, August.
    14. Ahmed Shata, A.S. & Hanitsch, R., 2006. "Evaluation of wind energy potential and electricity generation on the coast of Mediterranean Sea in Egypt," Renewable Energy, Elsevier, vol. 31(8), pages 1183-1202.
    15. Cellura, M. & Cirrincione, G. & Marvuglia, A. & Miraoui, A., 2008. "Wind speed spatial estimation for energy planning in Sicily: A neural kriging application," Renewable Energy, Elsevier, vol. 33(6), pages 1251-1266.
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    3. Deockho Kim & Jin Hur, 2017. "Stochastic Prediction of Wind Generating Resources Using the Enhanced Ensemble Model for Jeju Island’s Wind Farms in South Korea," Sustainability, MDPI, vol. 9(5), pages 1-12, May.
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    7. Collados-Lara, Antonio-Juan & Baena-Ruiz, Leticia & Pulido-Velazquez, David & Pardo-Igúzquiza, Eulogio, 2022. "Data-driven mapping of hourly wind speed and its potential energy resources: A sensitivity analysis," Renewable Energy, Elsevier, vol. 199(C), pages 87-102.

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