<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0121-750X</journal-id>
<journal-title><![CDATA[Ingeniería]]></journal-title>
<abbrev-journal-title><![CDATA[ing.]]></abbrev-journal-title>
<issn>0121-750X</issn>
<publisher>
<publisher-name><![CDATA[Universidad Distrital Francisco José de Caldas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0121-750X2021000200273</article-id>
<article-id pub-id-type="doi">10.14483/23448393.16601</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Efecto de la suciedad en el desempeño de módulos fotovoltaicos en Bogotá]]></article-title>
<article-title xml:lang="en"><![CDATA[Effect of Soiling on the Performance of Photovoltaic Modules in Bogotá]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[León-Vargas]]></surname>
<given-names><![CDATA[Fabián]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[García-Jaramillo]]></surname>
<given-names><![CDATA[Maira]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Magín Yara]]></surname>
<given-names><![CDATA[Gelver]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Parra]]></surname>
<given-names><![CDATA[Alejandro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Antonio Nariño  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad EAN  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Antonio Nariño  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad de la Salle  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2021</year>
</pub-date>
<volume>26</volume>
<numero>2</numero>
<fpage>273</fpage>
<lpage>283</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0121-750X2021000200273&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0121-750X2021000200273&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0121-750X2021000200273&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Contexto:  Este estudio analiza el efecto de la suciedad en la eficiencia energética de dos configuraciones de sistemas de generación fotovoltaica: una fija y una móvil (con seguimiento solar).  Método:  Se implementó un sistema especial de soporte y medición de la potencia de salida adaptado para cada configuración. Se recopilaron datos durante dos meses en Bogotá. El análisis utiliza la potencia promedio de dos módulos fotovoltaicos policristalinos de 50Wque forman parte de cada configuración. Se asignó un módulo de prueba para la aplicación de un protocolo de limpieza, y el otro fue asignado como módulo control. A partir de este resultado se analizó la prefactibilidad para la autosuficiencia energética de un hogar promedio de ingreso medio.  Resultados:  La aplicación de un protocolo de limpieza regular aumenta la productividad energética de cada sistema fotovoltaico entre un 3,87% y un 7,23 %, de acuerdo con su configuración. A nivel económico, este incremento representa la amortización del sistema fotovoltaico para autosuficiencia energética un año antes, sin importar la configuración empleada.  Conclusiones:  Se encontró un impacto positivo en la eficiencia energética bajo un protocolo de limpieza regular en Bogotá. Este beneficio permite aumentar la rentabilidad obtenida de la inversión en un sistema para autoabastecimiento energético de una familia promedio.  Agradecimientos:  Este trabajo fue financiado por la Universidad Antonio Nariño a través del proyecto No. 2018230. Los autores agradecen el soporte dado por la Universidad EAN en este trabajo.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Context:  This study analyzes the soiling effect on the energy efficiency of two photovoltaic generation system configurations: one fixed and one mobile (with solar tracking).  Method:  A support system and output power measurement adapted for each configuration was implemented. Data was collected during two months in Bogotá. This analysis considered the average power obtained in two 50 W polycrystalline photovoltaic modules integrating each configuration. A test module was assigned for applying a cleaning protocol in each configuration, and the remaining module was assigned as a control module. This result was used in a pre-feasibility analysis for energy self-sufficiency of an average, middle-income household.  Results:  A regular cleaning protocol increases the energy productivity of each analyzed photovoltaic system in 3,87% and 7,23 %, according to its configuration. Additionally, at the economic level, this increase in productivity represents the year-prior amortization of a photovoltaic system for energy selfsufficiency, regardless of the type of configuration used.  Conclusions:  A positive impact on the energy efficiency of the two photovoltaic configurations analyzed was found under a regular cleaning protocol in Bogotá. This benefit increases the profitability that could be obtained from investing a system for the energy self-sufficiency of an average family.  Acknowledgements:  This work has been funded by Universidad Antonio Nariño through project No. 2018230. The authors would like to thank Universidad EAN for supporting this study.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[eficiencia energética]]></kwd>
<kwd lng="es"><![CDATA[sistema fotovoltaico]]></kwd>
<kwd lng="es"><![CDATA[seguidor solar]]></kwd>
<kwd lng="es"><![CDATA[protocolo de limpieza]]></kwd>
<kwd lng="es"><![CDATA[suciedad]]></kwd>
<kwd lng="es"><![CDATA[prefactibilidad.]]></kwd>
<kwd lng="en"><![CDATA[energy efficiency]]></kwd>
<kwd lng="en"><![CDATA[photovoltaic system]]></kwd>
<kwd lng="en"><![CDATA[solar tracker]]></kwd>
<kwd lng="en"><![CDATA[cleaning protocol]]></kwd>
<kwd lng="en"><![CDATA[soiling]]></kwd>
<kwd lng="en"><![CDATA[prefeasibility.]]></kwd>
</kwd-group>
</article-meta>
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