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Luis Rojas-solórzano

Associate Professor
Department of Mechanical Engineering
Nazarbayev University
Kazakhstan

Luis Rojas-solórzano

Biography

Luis Rojas-Solórzano earned his Ph.D. in Mechanical Engineering at Carnegie Mellon University (USA),1997. His B.Sc. in Mechanical Engineering (1985) and M.Sc. in Hydraulic Engineering (1991) were earned at Simon Bolivar University (Venezuela), where he spent more than 25 years as a faculty and consultant in the Dept. of Energy Conversion and Transport. In Venezuela he served as a Senior Consultant (PI) to the Oil & Gas and to the Hydro-Power Generation industries (Note: by 2015, Venezuela ranks worldwide as the 7th Oil Producer [IEA, 2014], 7th Oil Exporter [IEA, 2014], 1st Proven Crude Oil Reserves [US EIA, 2014], 2nd Natural Gas Reserves in Western Hemisphere [BBC, 2006], 4th Largest Hydropower Plant, 1st Largest Re-furbished Francis Turbines and 3rd with 65% of Hydroelectricity in Total Domestic Power Generation [IEA, 2015]).

Research Interest

Biomedical fluid mechanics, Environmental flows (air pollution and open channel), Turbomachinery (wind and hydropower turbines), Safety in road tunnels, Microfluidics, Residential, industrial and commercial energy efficiency measures, Combined Heat and Power, PV and Solar Water Heating, Wind, Hydro, Geothermal, Biofuels and Others.

Publications

  • Filonovich, M., Azevedo, R., Rojas-Solórzano, L., and Leal, J.B., ¨Credibility Analysis of Computational Fluid Dynamic Simulations for Compound Channel Flow,¨ Journal of Hydroinformatics, Vol. 15, Number 3, 2013, pp. 926-938. ISSN 1464-7141. DOI: 10.2166/HYDRO.2013.187.

  • Mubita T., Rojas-Solórzano L., and Moreno J. 2014. A Multiphase Approach to Model Blood Flow in Microtubes. Book chapter in Computational and Experimental Fluid Mechanics with Applications to Physics, Engineering and the Environment. Sigalotti L., Klapp J. and Sira E., eds. Springer International Publishing AG.

  • Romero María, Rojas-Solórzano Luis, 2014. ¨Assessment of the Prediction Capacity of a Wind-Electric Generation Model,¨ International Journal of Renewable Energy & Biofuels, Volume 2014 (2014), Article ID 249322, 16 pages, DOI: 10.5171/2014.249322.

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