Development of Software of Climate Analysis for Generation the Energy with Wind Turbine

Abstract:

This work seeks to analyze the feasibility to integrate a renewable hybrid energy resource in the DC smart grid for the campus of Universidad Militar Nueva Granada (UMNG), which is located in Cajica - Cundinamarca. Taking the wind energy as the selected renewable resource, we developed software in Matlab® in order to do the analysis of meteorological data based on the Weibull’s probabilistic distribution model and the Betz’s efficient energy use method. The software shows the wind speed and power analysis based on its data input (atmospheric pressure, temperature, wind speed and direction, etc.) of the study site. The software also allows the simultaneous and differential power analysis of different types of commercial wind turbines, which is characterized and implemented into the software, for the appropriate selection. Moreover, the user is able to upload its own meteorological files or use a data base from any weather station, such as those installed by the Regional Autonomous Corporation (CAR).

• Periodical: Applied Mechanics and Materials (Volume 700)
• Pages: 20-23
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.700.20
• Online since: December 2014
• Authors: Mauricio M. Mauledoux*, Edilberto Mejía-Ruda, Oscar F.S. Avilés
• Keywords: DС Microgrid, Wind Power, Wind Turbine Generator

References

[1] Global wind energy, Global wind report: Annual market update 2013, Brussels, Belgium. July (2014).

[2] S. U. Offiah and P. E. Ugwuoke F. C. Odo, Weibull distribution-based model for prediction of wind potential in Enugu, Nigeria, Advances in applied science research, vol. 3, pp.1202-1208, (2012).

[3] E. Abbasi and D. Nguyen Huu K. Strunz, DC microgrid for wind and solar power integration, IEEE Journal of emerging and selected topics in power electronics, vol. 2, pp.115-126, (2014).

DOI: 10.1109/jestpe.2013.2294738

[4] J. A. Ferreira, B. B. Jensen, A. Abrahamsen, K. Atallah and R. A. McMahon H. Polinder, Trends in wind turbine generator systems, IEEE Journal of emerging and selected topics in power electronics, vol. 1, pp.174-185, (2013).

DOI: 10.1109/jestpe.2013.2280428

[5] C. Chancham, M. Landry and Y. Gagnon J. Waewsak, An analysis of wind speed distribution at Thasala, Nakhon Si Thammarat, Thailand, Journal of sustainable energy & environment, vol. 2, pp.51-55, (2011).

DOI: 10.1016/j.egypro.2014.07.071

[6] I. Usta Y. M. Kantar, Analysis of wind speed distributions: Wind distribution function derived from minimum cross entropy principles as better alternative to Weibull function, Energy conversion and management, vol. 49, no. 5, pp.962-973, (2008).

DOI: 10.1016/j.enconman.2007.10.008

[7] A. Feijóo D. Villanueva, Wind power distributions: a review of their applications, Renewable and sustainable energy reviews, vol. 14, p.1490–1495, (2010).

DOI: 10.1016/j.rser.2010.01.005

[8] E. Fernandez M. Carolin Mabel, Estimation of energy yield from wind farms using artificial neural networks, IEEE Transactions on energy conversion, vol. 4, pp.459-464, (2009).

DOI: 10.1109/tec.2008.2001458

[9] G. Mazor M. Huleihil, Wind turbine power: the betz limit and beyond, advances in wind power, in Advances in wind power: Dr. Rupp Carriveau, 2012, p. Chapter 1.

DOI: 10.5772/52580

[10] U. B. Gunturu C. A. Schlosser, Characterization of wind power resource in the United States, Atmospheric, Chemistry and Physics, vol. 12, pp.9687-9702, (2012).

DOI: 10.5194/acp-12-9687-2012

[11] F.C. Odo G.U. Akubue, Comparative Assessment of Three Models for Estimating Weibull Parameters for Wind Energy Applications in a Nigerian Location, International Journal of Energy Science, vol. 2, no. 1, pp.22-25, (2012).

[12] P. Gipe, Wind power renewable energy for home, farmand business: Chelsea Green Publishing, (2004).

[13] A. C. Brett S. E. Tuller, The characteristics of wind velocity that favor the fitting of a weibull distribution in wind speed analysis, Journal Application Meteorologic, vol. 23, pp.124-134, (1984).

DOI: 10.1175/1520-0450(1984)023<0124:tcowvt>2.0.co;2