Improvement of the Learning of Wind Efficiency by Modeling the Power Coefficient at Technological University of Altamira

  • José Genaro González Hernández Universidad Tecnológica de Altamira

Abstract

The present investigation was carried out in the Technological University of Altamira in the Department of Renewable Energies, where the core part and commitment of the teachers is to increase the academic achievement of the students; in this particular case in the field of Wind Energy Conversion Systems and specifically in a fundamental concept of energy efficiency that is the power coefficient in wind turbines. To achieve this objective, several investigations were used to present some power coefficient representation models and present their associated graphs through the use of MATLAB software. Then the experimental and control groups were established and their academic performance was evaluated in terms of understanding the power coefficient concept through the measurement instruments that were established. Finally, the results obtained were analyzed to issue the pertinent conclusions and recommendations. The work was carried out during the period January- April 2018 and is expected to serve as a basis for future research.

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References

Arifujjaman, M. D., Iqbal, M. T. and Quaicoe, J. E. (2006). Maximum power extraction from a small wind turbine emulator using a DC-DC converter controlled by a microcontroller. 4th International Conference on Electrical and Computer Engineering ICECE. Dhaka, Bangladesh.

Becker, J. P., Plumb, C. and Revi, R.A. (2014). Project Circuits in a Basic Electric Circuits Course. IEEE Transactions on Education, 57(2), 75-82.

Carranza, O., Miranda, E., Ortega, R. y Rodríguez, J. J. (2014). Emulador de un aerogenerador de baja potencia utilizando un Generador Síncrono de Imán Permanente. Reunión de Verano de Potencia y aplicaciones industriales. Acapulco, México.

Chamorro, M. (2005). Didáctica de las matemáticas (1.a ed.). Madrid, España: Pearson education.

Chang, B. (2018). Patterns of knowledge construction. Adult Education Quarterly, 68(2), 108-136.

Chen, H. H. and Lee, A. H. I. (2014). Comprehensive overview of renewable energy development in Taiwan. Renewable and Sustainable Energy Reviews, 37, 215-228.

Coordinación General de Universidades Tecnológicas y Politécnicas [CGUTyP]. (2018). Recuperado de http://www.cgutyp.sep.gob.mx.

Dolati, Z. and Tahriri, A. (2017). EFL teachers’ multiple intelligences and their classroom practice. SAGE Open, 7(3).

Farthing S. P. (2013). Betz Limit Not an Exact Optimum. Wind Engineering, 37(1), 105-110.

Gash, H. (2015). Knowledge construction: A paradigm shift. New Directions for Teaching and Learning, 2015(143), 5-23.

Gardner, H. (1993). Multiple intelligences: The theory in practice. New York, Unite States: BasicBooks.

Global Wind Energy Council [GWEC]. (2017). Global Wind Report. Recuperado de http://gwec.net/publications/global-wind-report-2/.

Hussein, A. K. (2015). Applications of nanotechnology in renewable energies—A comprehensive overview and understanding. Renewable and Sustainable Energy Reviews, 42, 460-476.

Li, W., Ma, H., Xu, D. and Zhang, W. (2007). Research on Wind Turbine Emulation based on DC Motor. Second IEEE conference on industrial electronics and applications. Harbin, China.

Liu, T. (2016). Using educational games and simulation software in a computer science course: Learning achievements and student flow experiences. Interactive Learning Environments, 24(4), 724-744.

Manrique, B., Gasca, G. P. and Gómez, M. C. (2015). Assessment proposal of teaching and learning strategies in software process improvement. Revista Facultad De Ingeniería Universidad De Antioquia, (77), 105-114.

Manzano, F., Alcayde, A., Montoya, F. G., Zapata, A. and Gil, C. (2013). Scientific production of renewable energies worldwide: An overview. Renewable and Sustainable Energy Reviews, 18, 134-143.

Mittal, R., Sandhu, K. S. and Jain, D.K. (2010). An Overview of Some Important Issues Related to Wind Energy Conversion Systems (WECS). International Journal of Environmental Science and Development, 1(4), 351-363

Moussa, I., Bouallegue, A. and Kehedher, A. (2014). Design and Implementation of constant wind speed turbine emulator using Matlab/simulink and FPGA. Ninth International Conference Ecological Vehicles and Renewable Energies (EVER). Mónaco.

Moussavi, S. Z. and Fazly, M. (2010). Learning improvement by using Matlab simulator in advanced electrical machinery laboratory. Procedia-Social and Behavioral Sciences, 9, 92-104. doi:10.1016/j.sbspro.2010.12.121

Sen, Z. (2013). Modified wind power formulation and its comparison with betz limits: Modified wind power formulation. International Journal of Energy Research, 37(8), 959-963.

Tripathi, L., Tripathi, C. B., Mishra, A. K., Dubey, A. K. and Baredar, P. (2016). Renewable energy: An overview on its contribution in current energy scenario of India. Renewable and Sustainable Energy Reviews, 60, 226-233.

Universidad Tecnológica de Altamira [UTA], (2018). Recuperado de http://www.utaltamira.edu.mx/.

Vennell, R. (2013). Exceeding the betz limit with tidal turbines. Renewable Energy, 55, 277-285.

Yaramasu, V., Wu, B., Sen, P. C., Kouro, S. and Narimani, M. (2015). High-power wind energy conversion systems: State-of-the-art and emerging technologies. Proceedings of the IEEE, 103(5), 740-788.

Published
2018-09-20
How to Cite
González Hernández, J. G. (2018). Improvement of the Learning of Wind Efficiency by Modeling the Power Coefficient at Technological University of Altamira. RIDE Revista Iberoamericana Para La Investigación Y El Desarrollo Educativo, 9(17), 529 - 534. https://doi.org/10.23913/ride.v9i17.392
Section
Scientific articles