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Methodology for Optimal Micrositing of Building Mounted Wind Turbines Using Computational Fluid Dynamics and Genetic Algorithms.

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Title: Methodology for Optimal Micrositing of Building Mounted Wind Turbines Using Computational Fluid Dynamics and Genetic Algorithms.
Authors: Rodriguez, Christian V.1 cvrodriguezd@uni.pe, Ríos, Alberto2 a.rios@uta.edu.ec, Luyo, Jaime E.1 jeluyo@yahoo.es
Source: International Journal of Renewable Energy Research. Jun2026, Vol. 16 Issue 2, p350-366. 17p.
Database: Environment Complete
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An: 195115108
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  Data: Methodology for Optimal Micrositing of Building Mounted Wind Turbines Using Computational Fluid Dynamics and Genetic Algorithms.
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  Data: <searchLink fieldCode="AR" term="%22Rodriguez%2C+Christian+V%2E%22">Rodriguez, Christian V.</searchLink><relatesTo>1</relatesTo><i> cvrodriguezd@uni.pe</i><br /><searchLink fieldCode="AR" term="%22Ríos%2C+Alberto%22">Ríos, Alberto</searchLink><relatesTo>2</relatesTo><i> a.rios@uta.edu.ec</i><br /><searchLink fieldCode="AR" term="%22Luyo%2C+Jaime+E%2E%22">Luyo, Jaime E.</searchLink><relatesTo>1</relatesTo><i> jeluyo@yahoo.es</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Renewable+Energy+Research%22">International Journal of Renewable Energy Research</searchLink>. Jun2026, Vol. 16 Issue 2, p350-366. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=195115108
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 350
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      – TitleFull: Methodology for Optimal Micrositing of Building Mounted Wind Turbines Using Computational Fluid Dynamics and Genetic Algorithms.
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            NameFull: Rodriguez, Christian V.
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            NameFull: Ríos, Alberto
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            NameFull: Luyo, Jaime E.
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            – D: 01
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              Text: Jun2026
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              Y: 2026
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            – TitleFull: International Journal of Renewable Energy Research
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