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<article article-type="research-article" dtd-version="1.0" specific-use="sps-1.6" xml:lang="es" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">rte</journal-id>
			<journal-title-group>
				<journal-title>Revista Técnica energía</journal-title>
				<abbrev-journal-title abbrev-type="publisher">Revista Técnica energía</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="ppub">1390-5074</issn>
			<issn pub-type="epub">2602-8492</issn>
			<publisher>
				<publisher-name>Operador Nacional de Electricidad CENACE</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="doi">10.37116/revistaenergia.v20.n2.2024.614</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Artículo Académico</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Diseño y Evaluación de un Sistema Fotovoltaico Aislado para Iluminación en Vías Rurales y Carga de Vehículos Eléctricos Basado En Un Enfoque Multipropósito</article-title>
				<trans-title-group xml:lang="en">
					<trans-title>Design and Evaluation of a Standalone Photovoltaic System for Rural Road Lighting and Electric Vehicle Charging Based on a Multipurpose Approach</trans-title>
				</trans-title-group>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0009-0003-6817-0698</contrib-id>
					<name>
						<surname>Villarreal</surname>
						<given-names>J.G.</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-9324-6290</contrib-id>
					<name>
						<surname>Cuji</surname>
						<given-names>C.C.</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
			</contrib-group>
			<aff id="aff1">
				<label>1</label>
				<institution content-type="original">Universidad Politécnica Salesiana, Carrera de Electricidad, Quito, Ecuador E-mail: kandradef@est.ups.edu.ec </institution>
				<institution content-type="orgname">Universidad Politécnica Salesiana</institution>
				<institution content-type="orgdiv1">Carrera de Electricidad</institution>
				<addr-line>
					<named-content content-type="city">Quito</named-content>
				</addr-line>
				<country country="EC">Ecuador</country>
				<email>kandradef@est.ups.edu.ec</email>
			</aff>
			<aff id="aff2">
				<label>2</label>
				<institution content-type="original">Universidad Politécnica Salesiana, Carrera de Electricidad, GIREI - Quito, Ecuador E-mail: ccuji@ups.edu.ec</institution>
				<institution content-type="normalized">Universidad Politécnica Salesiana</institution>
				<institution content-type="orgname">Universidad Politécnica Salesiana</institution>
				<institution content-type="orgdiv1">Carrera de Electricidad, GIREI</institution>
				<addr-line>
					<named-content content-type="city">Quito</named-content>
				</addr-line>
				<country country="EC">Ecuador</country>
				<email>ccuji@ups.edu.ec</email>
			</aff>
			<author-notes>
				<fn fn-type="current-aff" id="fn1">
					<p><bold>Jonathan Gabriel Villarreal Berrones.-</bold> (Y’1997 - M’07). Realizo sus estudios en el colegio “Central Técnico” se graduó de bachiller técnico en la especialidad de Electricidad. Egresado de la carrera de Electricidad de la Universidad Politécnica Salesiana, su trabajo se basa en la propuesta de un despliegue óptimo de un sistema aislado de alta eficiencia y su evaluación en aplicaciones multipropósito para carga de vehículos eléctricos e iluminación en zonas rurales. </p>
				</fn>
				<fn fn-type="current-aff" id="fn2">
					<p><bold>Cristian Cristobal Cuji Cuji.-</bold> (Y’1983 - M’03). Se graduó de Ingeniero Electrónico de la Universidad Politécnica Salesiana, Ecuador en 2014 y Máster en Energía, Facultad de Ciencias Físicas en la Universidad Complutense de Madrid - España 2015. Actualmente es profesor e investigador en la Universidad Politécnica Salesiana - Quito Ecuador. </p>
				</fn>
			</author-notes>
			<pub-date pub-type="epub-ppub">
				<season>Jan-Jun</season>
				<year>2024</year>
			</pub-date>
			<volume>20</volume>
			<issue>2</issue>
			<fpage>0047</fpage>
			<lpage>0057</lpage>
			<history>
				<date date-type="received">
					<day>07</day>
					<month>10</month>
					<year>2023</year>
				</date>
				<date date-type="accepted">
					<day>13</day>
					<month>12</month>
					<year>2023</year>
				</date>
			</history>
			<permissions>
				<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/" xml:lang="es">
					<license-p>Este es un artículo publicado en acceso abierto bajo una licencia Creative Commons</license-p>
				</license>
			</permissions>
			<abstract>
				<title>Resumen:</title>
				<p>Se presentan los resultados de una propuesta de un sistema fotovoltaico de alta eficiencia con aplicaciones multipropósito, implementado a lo largo de una carretera. Este sistema está diseñado para abordar cuestiones relacionadas con la iluminación, las telecomunicaciones y la carga de vehículos eléctricos. La necesidad de un sistema aislado surge de los apagones repentinos en el país que afectan la seguridad vial, el excesivo uso de vehículos de combustibles fósiles que emiten gases que contaminan el planeta, así como la falta de señal telefónica en algunas zonas. </p>
				<p>En el ámbito de la iluminación, se realiza un análisis utilizando el software DiaLux para garantizar el cumplimiento de los estándares adecuados de iluminación para diferentes tipos de carreteras. Además, el sistema multipropósito incluye la carga de vehículos eléctricos livianos de uso particular, que se está volviendo cada vez más relevante debido al cambio hacia vehículos más ecológicos. La provisión de carga de vehículos eléctricos a lo largo de las carreteras resuelve el problema de la autonomía limitada de los vehículos eléctricos y promueve su uso confiable. La evaluación del recurso energético mediante el método Glover y McCulloch es fundamental para diseñar un sistema eficiente capaz de satisfacer diversas necesidades del usuario. Además, la reducción de las emisiones de dióxido de carbono es un aspecto importante, ya que los vehículos eléctricos pueden contribuir significativamente a la reducción de las emisiones de gases de efecto invernadero en comparación con los vehículos de combustibles fósiles</p>
			</abstract>
			<trans-abstract xml:lang="en">
				<title>Abstract:</title>
				<p>The results of a proposal for a high-efficiency photovoltaic system with multipurpose applications implemented along a road are presented. This system is designed to address issues related to lighting, telecommunications, and electric vehicle charging. The need for an isolated system arises from sudden power outages in the country that affect road safety and reliability, as well as the lack of phone signal in some areas. </p>
				<p>In the field of lighting, an analysis is conducted using DiaLux software to ensure compliance with appropriate lighting standards for different types of roads. Furthermore, the multipurpose system includes electric vehicle charging, which is becoming increasingly relevant due to the shift towards more eco-friendly vehicles. Providing electric vehicle charging along roads resolves the issue of limited electric vehicle range and promotes their reliable use. The evaluation of the energy resource using the Glover and McCulloch method is essential for designing an efficient system capable of meeting various user needs. Additionally, reducing carbon dioxide emissions is a significant consideration, as electric vehicles can significantly contribute to reducing greenhouse gas emissions compared to fossil fuel vehicles.</p>
			</trans-abstract>
			<kwd-group xml:lang="es">
				<title>Palabras clave:</title>
				<kwd>Alta eficiencia</kwd>
				<kwd>alumbrado público</kwd>
				<kwd>fotovoltaico</kwd>
				<kwd>Glover y McCulloch</kwd>
				<kwd>sistema multipropósito</kwd>
				<kwd>sistema aislado.</kwd>
			</kwd-group>
			<kwd-group xml:lang="en">
				<title>Keywords:</title>
				<kwd>High efficiency</kwd>
				<kwd>Public lighting</kwd>
				<kwd>photovoltaic</kwd>
				<kwd>Glover and McCulloch</kwd>
				<kwd>multipurpose system</kwd>
				<kwd>isolated system. indexing purposes</kwd>
			</kwd-group>
			<counts>
				<fig-count count="15"/>
				<table-count count="10"/>
				<equation-count count="17"/>
				<ref-count count="27"/>
				<page-count count="11"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec sec-type="intro">
			<title>INTRODUCCIÓN</title>
			<p>El presente informe plantea la implementación de un sistema fotovoltaico autónomo diseñado para abordar la carga de vehículos eléctricos, la iluminación y las telecomunicaciones. La necesidad de esta solución surge para asegurar fuentes de energía verde para la carga de vehículos eléctricos. Adicionalmente, se busca subsanar la carencia de cobertura de telefonía en áreas desatendidas, un servicio fundamental en la era actual. Cabe destacar que, en el territorio nacional, los automóviles que utilizan combustibles fósiles son responsables de una significativa cantidad de emisiones de dióxido de carbono. La transición hacia vehículos eléctricos está en constante crecimiento debido a su menor impacto ambiental. Sin embargo, la limitada autonomía de estos vehículos plantea desafíos, y la provisión de puntos de carga en las vías se plantea como una solución para garantizar su uso fiable. [1].</p>
			<p>El análisis del recurso energético, llevado a cabo mediante un método para la obtención de datos de radiación solar, desempeña un papel crucial en la configuración de un sistema eficiente que satisface las múltiples demandas de los usuarios. Este enfoque multipropósito abarca tanto la carga de vehículos eléctricos como la iluminación y las telecomunicaciones. Se subraya la relevancia de los sistemas aislados, que no dependen de las fuentes de energía del sistema eléctrico interconectado del país. Estos sistemas representan soluciones de gran utilidad para llevar electricidad a zonas rurales o comunidades que, de otra forma, no podrían acceder a la red eléctrica nacional debido a diversos factores como la distancia, los costos económicos o las limitaciones técnicas. [2].</p>
		</sec>
		<sec>
			<title>DESCRIPCIÓN Y ESCENARIOS</title>
			<sec>
				<title>Descripción del Problema de Estudio </title>
				<p> En la actualidad, los sistemas aislados desempeñan un papel crucial debido a su independencia de las fuentes de energía del sistema eléctrico nacional interconectado. Estos sistemas resultan de gran relevancia, ya que garantizan el suministro de electricidad en áreas donde las contingencias en el sistema eléctrico convencional no deben afectar. Representan una solución efectiva para llevar energía eléctrica a zonas rurales y comunidades a las que resulta inaccesible o poco viable extender la red eléctrica. Esto puede deberse a diversas razones, como las grandes distancias o las limitaciones económicas que hacen que un proyecto de electrificación convencional no sea factible. Los sistemas aislados ofrecen beneficios similares a los usuarios en términos de acceso a la electricidad, pero a menudo requieren una inversión menor en comparación con la extensión de la red eléctrica, lo que los convierte en una alternativa viable. [3], [4].</p>
			</sec>
			<sec>
				<title>Caso de Estudio </title>
				<p><bold>Vía E487</bold></p>
				<p> La Vía E487, ubicada en Ecuador, se erige como un ejemplo destacado de una carretera principal que conecta la región costera con la región montañosa, específicamente entre Guayaquil y Riobamba. Esta vía se encuentra transitada por camiones que transportan productos entre ambas regiones, y en días festivos, se congestiona con vehículos que se dirigen a la costa. Uno de los problemas más acuciantes en esta vía es la frecuencia de asaltos a los conductores de camiones, agravados por los accidentes de tráfico que ocurren con regularidad debido a la neblina que se presenta en las noches, dificultando la visibilidad de los conductores [5].</p>
				<p>
					<fig id="f1">
						<label>Figura 1:</label>
						<caption>
							<title>Tramo sin iluminación de la vía E487 - Google Maps</title>
						</caption>
						<graphic xlink:href="data:image/jpg;base64,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"/>
					</fig>
				</p>
				<p> Si bien algunos tramos de la vía cuentan con acceso a la electricidad, en otros lugares, la electricidad no se distribuye a lo largo de la carretera para conectar las pequeñas comunidades y pueblos circundantes sin incurrir en costos excesivos. Sin embargo, en esta misma ruta, se encuentran comunidades aisladas en el páramo de Navag, que carecen de acceso a la energía eléctrica. La implementación del sistema fotovoltaico sería especialmente beneficiosa para estas comunidades.</p>
				<p><bold>Vía E28</bold></p>
				<p>
					<fig id="f2">
						<label>Figura 2:</label>
						<caption>
							<title>Tramo sin iluminación de la vía E28 - Google Maps</title>
						</caption>
						<graphic xlink:href="data:image/jpg;base64,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"/>
					</fig>
				</p>
				<p> La Vía E28 es otra carretera relevante que conecta la región costera con la región montañosa en Ecuador, específicamente entre Calacalí y Nanegalito. Esta vía es utilizada por vehículos de carga ligera y pesada, ya que la región es conocida por la producción de productos como palmito, banano, yuca, entre otros. Sin embargo, esta vía es oscura, insegura y carece de cobertura de telefonía móvil, lo que dificulta la comunicación en caso de emergencia [6].</p>
				<p>
					<fig id="f3">
						<label>Figura 3:</label>
						<caption>
							<title>Tramo de la vía E28 con cobertura celular nula o con tecnología 2G</title>
						</caption>
						<graphic 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"/>
					</fig>
				</p>
				<p><bold>Vía E45</bold></p>
				<p> La Vía E45 se destaca por conectar diferentes regiones de Ecuador, y en este caso, se considera el tramo ubicado en el Oriente que enlaza la región montañosa con la región amazónica. Esta vía es un corredor comercial vital entre las dos regiones, pero enfrenta desafíos relacionados con la falta de alumbrado público, la electricidad y la cobertura de señal para teléfonos celulares [7][8].</p>
				<p>
					<fig id="f4">
						<label>Figura 4:</label>
						<caption>
							<title>Tramo sin iluminación de la vía E45 - Google Maps</title>
						</caption>
						<graphic 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"/>
					</fig>
				</p>
				<p> En cada uno de estos casos de estudio, la falta de iluminación, la inseguridad y la escasez de acceso a servicios básicos se presentan como problemas críticos que podrían abordarse de manera efectiva mediante la implementación de sistemas fotovoltaicos multipropósito. Estos sistemas no solo mejorarían la calidad de vida y la seguridad de los residentes, sino que también respaldarían el desarrollo sostenible y la movilidad eléctrica en el país [9].</p>
			</sec>
			<sec>
				<title>Sistema solar fotovoltaico</title>
				<p> Los sistemas solares fotovoltaicos aprovechan la energía del sol para generar electricidad de manera sostenible. La radiación solar incidente en la Tierra se compone de tres componentes: radiación directa, radiación reflejada y radiación difusa. El cálculo de la radiación global permite la correcta evaluación del recurso solar. Se utilizan métodos empíricos, como el método de Glover &amp; McCulloch, que consideran factores como la latitud del lugar. En Ecuador, situado cerca del ecuador, el método resulta viable. El cálculo de la radiación global implica el uso de ecuaciones que incluyen la radiación extraterrestre diaria, el promedio mensual de horas diarias de brillo solar y el número máximo diario promedio mensual de horas de sol.</p>
				<p>
					<disp-formula id="e1">
						<graphic xlink:href="data:image/png;base64,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"/>
					</disp-formula>
				</p>
				<p>Donde:</p>
				<p>H: La radiación global diaria promedio mensual en kWh. m −2 . dia −1 .</p>
				<p>Ho: La radiación solar diaria promedio mensual en kWh. m −2 . dia −1 .</p>
				<p>n: El promedio mensual de horas diarias de brillo solar.</p>
				<p>N: El número máximo diario promedio mensual de horas sol.</p>
				<p>a y b: Son las constantes de regresión.</p>
				<p><bold>Elementos de los Sistemas Solares</bold></p>
				<p> Un sistema solar fotovoltaico se basa en la captación y conversión de la energía solar en electricidad. Esto se logra mediante varios elementos clave:</p>
				<p>Paneles Fotovoltaicos: Estos paneles consisten en múltiples celdas fotovoltaicas, cada una de las cuales genera un voltaje de alrededor de 0.3 V a 0.5 V. Para obtener voltajes adecuados para aplicaciones eléctricas, se conectan en serie para incrementar el voltaje y en paralelo para aumentar la corriente. Estos grupos de celdas se conocen como paneles fotovoltaicos.</p>
				<p><bold>Baterías:</bold> En sistemas aislados, son esenciales para almacenar la energía generada por los paneles solares y utilizarla cuando no se está generando electricidad. Las baterías pueden variar en tecnología, como las de plomo-ácido, níquel-hierro, iones de litio, entre otras. La vida útil de las baterías está directamente relacionada con su profundidad de descarga, lo que implica no descargarlas más del 40% de su capacidad.</p>
				<p>
					<table-wrap id="t1">
						<label>Tabla 1:</label>
						<caption>
							<title>Eficiencia de los paneles solares</title>
						</caption>
						<table>
							<colgroup>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="left">Materiales</th>
									<th align="left">Eficiencia nominal (%)</th>
									<th align="left">Eficiencia real (%)</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="left">Panel de silicio Monocristalino</td>
									<td align="center">24</td>
									<td align="center">14-17</td>
								</tr>
								<tr>
									<td align="left">Panel de silicio Policristalino</td>
									<td align="center">18</td>
									<td align="center">13-15</td>
								</tr>
								<tr>
									<td align="left">Panel de silicio Amorfo</td>
									<td align="center">13</td>
									<td align="center">5-7</td>
								</tr>
							</tbody>
						</table>
					</table-wrap>
				</p>
				<p><bold>Reguladores de Carga:</bold> Estos dispositivos permiten una carga eficiente de las baterías al supervisar el voltaje y protegerlas contra sobrecargas o descargas profundas que reducirían su vida útil [11].</p>
				<p><bold>Inversores:</bold> Los inversores transforman la corriente continua (CC) generada por los paneles en corriente alterna (CA), que es la forma de electricidad utilizada en la mayoría de las aplicaciones eléctricas. Los inversores comerciales pueden ser monofásicos o trifásicos y operan a frecuencias de 50 Hz o 60 Hz. La cantidad de pulsos generados por el inversor influye en la calidad de la señal de CA resultante [12].</p>
			</sec>
			<sec>
				<title>Alumbrado Público:</title>
				<p> En el contexto de este proyecto, el alumbrado público se considera, utilizando lámparas LED debido a sus características técnicas óptimas. Estas lámparas LED ofrecen un rendimiento lumínico entre 100 lm/W y 154 lm/W, lo que significa que convierten una cantidad significativa de energía en luz visible, lo cual es crucial para lograr una iluminación eficiente y efectiva. Además, su larga vida útil, que varía entre 50,000 y 100,000 horas, reduce la necesidad de reemplazos frecuentes, lo que es especialmente ventajoso en áreas de difícil acceso, como las carreteras mencionadas en el proyecto [13].</p>
				<p> La temperatura de color de las lámparas LED puede variar de 2700 K a 5000 K. En este proyecto, se ha seleccionado una lámpara Sylvania de 90 W y 4000 K. Esta elección está respaldada por su temperatura de color adecuada, que es lo suficientemente cálida para proporcionar una iluminación cómoda y no deslumbrante [14][15] </p>
				<p>
					<disp-formula id="e2">
						<graphic xlink:href="data:image/png;base64,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"/>
					</disp-formula>
				</p>
				<p>Donde:</p>
				<p>P: Es la clase de iluminación va de M1 a M6</p>
				<p>
					<table-wrap id="t2">
						<label><italic>Tabla 2:</italic></label>
						<caption>
							<title>Parámetros para selección de clase de iluminación [16]</title>
						</caption>
						<graphic 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"/>
					</table-wrap>
				</p>
				<p>La disposición de los postes de alumbrado público debe basarse en criterios específicos. Para determinar la clase de iluminación más adecuada, se utiliza la fórmula (2) indicada en la <xref ref-type="table" rid="t2">Tabla 2</xref>, considerando factores como la velocidad del tráfico, el volumen de vehículos y otros parámetros. Esto garantiza que la iluminación sea óptima y se adapte a las necesidades específicas de las vías [17][15]</p>
				<p><bold>Parámetros Fotométricos</bold></p>
				<p> Para definir la disposición de las luminarias y la distancia entre los postes en el alumbrado público de acuerdo con el proyecto, se emplea la fórmula (3). Esta fórmula toma en cuenta varios factores esenciales, como el ancho de la vía, el flujo luminoso de las lámparas, el factor de utilización y la iluminancia media deseada. La iluminancia media (Em) es crítica para garantizar una iluminación uniforme y segura [18][19].</p>
				<p>
					<disp-formula id="e3">
						<graphic xlink:href="data:image/png;base64,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"/>
					</disp-formula>
				</p>
				<p>Donde:</p>
				<p>Em: Iluminancia media</p>
				<p>k: Factor de utilización</p>
				<p>fm: Factor de utilización</p>
				<p>W: Ancho de la vía</p>
				<p>d: Distancia entre postes</p>
				<p>
					<fig id="f5">
						<label>Figura 5:</label>
						<caption>
							<title>Parámetros para el cálculo del factor de utilización </title>
						</caption>
						<graphic xlink:href="data:image/jpg;base64,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"/>
					</fig>
				</p>
				<p>
					<disp-formula id="e4">
						<graphic xlink:href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAjcAAAA7CAYAAACHdav8AAAAAXNSR0ICQMB9xQAAAAlwSFlzAAAOxAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAAPmSURBVHja7d0xTxtXAMDx1z3dScVjKt3JHWM6VfRo07FSzclLFHlA6KQ0A0MGmw1VzQegUzI1S1cqNRnTgX6G9BM0nyGEd861J9fAGduiJb/hJ+Hj8HuOIvHXe88mHBwcBACAm8I/AgAgbgAAxA0AgLgBABA3cOMdHg5ulcXmwzzPj4pquJGuVWXxVXq8WZQPB4eHt65jrKrc/C7bqh5cx+utqt5Gkec/xBhfxZj/+u3u488WNf5w2L+dhey3/v7+J821MgtPs3J0r/l+vlYcDfb3P/b/E8QNcEV7W/FRyHaetR/HbOfJIsOm61jDqreex3gcQjjNesNvuj7vThafNIHQdQ5nY3w0OYcmPnrVcD19b1Rm90LIXrdjZL6wiSdf7D6+8/e1qtiIIfzVfq3ja9nJIsYExA18kHay8Cxu7T1qfpnHrPxx2WOlsJg21u7u7qfNfV1jJWmvfnS5d3IOTej8K0gWGBrT5lgWxf0iD79MXh/1s6/bAQaIG6CjtE1TrIaXaeWg3grKymGXn6n6/btlWW5P0+9Xd+cda1lxU88hhhddX+94lad8Om9k1JEUt5+3t5tSWKU5T3utaZ7bMT5vr/IA4gbo8ku33ioJr1dXV38PIfuzywrFVeNmlrG6xM2oqlbSSk+S7t/s7fUGg8F6elxVo5V55zAOkvx4Eas2VRG/b6/E1JFVlPcvCrP6+gxbc4C4Ad6vHoTV4mU1qlbSikazPXXdY10WN/XB2xiP06HfcaiE0xDim/R1spZ9+dO0Q7n1HGLxYjAc3L5oDuPnz39uzt4sIm6arbD6+XvF52lVJj1uImZydWjyZwBxA3TQPuDbxMdl79SZDItJdVhMOYw8y1jL2pZqHyY+bw7NllDzbqplxE2a79nXb987TSZDRtyAuAGuoB0RzZbNsrZCZhmrvnfKasa8cdNlDimAmrGTait7MG/oTG5LdZn7LIekAXEDHPzzNuTmbdDNYdsQs5NFbcfMOlZ6K3j9GTNn94Z454+un7XTJQQumkPzWTbNPa1VlbddzyJdOvbEgeKL5u5AMYgb4AOXPnjvvEPE/xWzHBCut8wW8C4tQNwALM20D/Gbep8P8QNxA/B/UW+FreVH54XLtD/PAIgbAABxAwAgbgAAcQMAIG4AAMQNAIC4AQAQNwCAuAEAEDcAAOIGAEDcAACIGwBA3AAAiBsAAHEDACBuAABxAwAgbgAAxA0AgLgBABA3AIC4AQAQNwAA4gYAQNwAAIgbAEDcAACIGwAAcQMAIG4AAMQNACBuAADEDQCAuAEAEDcAAOIGABA3AADiBgBA3AAAiBsAAHEDANxc7wBFviUdvETLYgAAAABJRU5ErkJggg=="/>
					</disp-formula>
				</p>
				<p> El factor de utilización (K) se determina mediante la fórmula (4) y se basa en factores que incluyen la distribución de la luz de las luminarias y las características del entorno. Asegura que la luz emitida por las lámparas LED se utilice eficazmente en el área específica que se ilumina [16].</p>
				<p>
					<disp-formula id="e5">
						<graphic xlink:href="data:image/png;base64,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"/>
					</disp-formula>
				</p>
				<p>Donde:</p>
				<p>N: Cantidad de luminarias </p>
				<p>L: Largo de la vía</p>
				<p>H: Altura de la luminaria con respecto a la calzada</p>
				<p>R: Relación separación entre luminarias y altura (H/d).</p>
				<p>D: RxH separación entre puntos de L [20].</p>
				<p> La cantidad de postes o luminarias a lo largo una vía se determina mediante la aplicación de la fórmula (5). Esta ecuación considera la longitud de la vía y la relación entre la separación de las luminarias y su altura sobre el nivel de la calzada. Esto garantiza que la vía esté adecuadamente iluminada sin exceso ni falta de luminarias [20] [21].</p>
				<p>
					<disp-formula id="e6">
						<graphic xlink:href="data:image/png;base64,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"/>
					</disp-formula>
				</p>
				<p>Donde:</p>
				<p>N: Cantidad de luminarias </p>
				<p>L: Largo de la vía</p>
				<p>H: Altura de la luminaria con respecto a la calzada</p>
				<p>R: Relación separación entre luminarias y altura (H/d).</p>
				<p>D: RxH separación entre puntos de L [20].</p>
				<p> La diseño del alumbrado público en este proyecto se realiza utilizando varios métodos, como la disposición unilateral, bilateral alternada, bilateral opuesta y central doble, dependiendo del ancho y las características de la vía. También se considera el nivel de suciedad en las carreteras para calcular el factor de mantenimiento (fm) [22]. Además, se determina la iluminancia media necesaria de acuerdo con la velocidad de circulación de los vehículos en diferentes tipos de vías. Esta información se utiliza para establecer una base técnica sólida para la distribución de luminarias en el proyecto de alumbrado público [22].</p>
			</sec>
		</sec>
		<sec>
			<title>DESARROLLO Y APLICACIONES MULTIPROPÓSITO</title>
			<sec>
				<title>Las estaciones de carga</title>
				<p> La infraestructura de movilidad sostenible con energía renovable incluye estaciones de carga eléctrica que son el equivalente a las gasolineras para vehículos eléctricos y son fundamentales para promover la adopción de esta tecnología y se clasifican en tres tipos estaciones de carga:</p>
				<p>- Carga Lenta: ideales para hogares o entornos de trabajo. Tienen un bajo consumo eléctrico (alrededor de 3.7 kW) y son convenientes para vehículos que permanecen estacionados durante largos períodos. La carga completa tarda alrededor de 8 horas [24].</p>
				<p>- Carga Semi-rápida: estas estaciones de carga operan a una potencia de aproximadamente 7.3 kW, lo que permite cargar vehículos más rápido que la carga lenta. Aún son adecuadas para uso residencial o en el trabajo y pueden cargar un vehículo por completo en unas 4 horas [25].</p>
				<p> - Carga Rápida: estaciones de carga son esenciales en ubicaciones estratégicas como estaciones de servicio o áreas de alto tráfico. Tienen un alto consumo de energía (entre 50 kW y 62.5 kW) y permiten cargar el 80% de la batería en solo 30 minutos o el 50% en 15 minutos. Son ideales para viajes largos o cuando se necesita cargar de manera rápida [26].</p>
				<p>La clave para la carga rápida es el uso de un conversor que transforma la corriente alterna en corriente continua, garantizando una transferencia eficiente de energía a las baterías de los vehículos eléctricos. En general, la expansión de la red de estaciones de carga desempeña un papel fundamental en la promoción de la movilidad eléctrica y la reducción de la dependencia de los combustibles fósiles en el transporte [27].</p>
			</sec>
			<sec>
				<title>Evaluación de Recurso Solar por el Método de Glover &amp; McCulloch</title>
				<p>La evaluación del recurso energético utilizando el método de Glover &amp; McCulloch es esencial para el diseño de sistemas solares fotovoltaicos eficientes. La radiación global, que se obtiene a partir de la base de datos de la NASA, es un factor crítico para calcular la generación de energía de los paneles solares. La tabla 3 proporciona datos de radiación global en kWh/m2 durante un año a lo largo de cada vía, lo que resulta fundamental en la planificación de estos sistemas.</p>
				<p>
					<table-wrap id="t3">
						<table>
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="justify">Meses</th>
									<th align="justify">E45 (kWh/m<sup>
 <bold>2)</bold>
</sup></th>
									<th align="justify">E487 (kWh/m<sup>
 <bold>2</bold>
</sup> )</th>
									<th align="justify">E28 (kWh/m<sup>
 <bold>2</bold>
</sup> )</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="justify">Enero</td>
									<td align="center">4.17</td>
									<td align="center">4.33</td>
									<td align="center">3.91</td>
								</tr>
								<tr>
									<td align="justify">Febrero</td>
									<td align="center">3.97</td>
									<td align="center">4.21</td>
									<td align="center">3.87</td>
								</tr>
								<tr>
									<td align="justify">Marzo</td>
									<td align="center">4.17</td>
									<td align="center">4.58</td>
									<td align="center">4.29</td>
								</tr>
								<tr>
									<td align="justify">Abril</td>
									<td align="center">4.06</td>
									<td align="center">4.40</td>
									<td align="center">4.12</td>
								</tr>
								<tr>
									<td align="justify">Mayo</td>
									<td align="center">4.01</td>
									<td align="center">4.21</td>
									<td align="center">3.87</td>
								</tr>
								<tr>
									<td align="justify">Junio</td>
									<td align="center">3.98</td>
									<td align="center">4.18</td>
									<td align="center">3.75</td>
								</tr>
								<tr>
									<td align="justify">Julio</td>
									<td align="center">3.90</td>
									<td align="center">4.29</td>
									<td align="center">3.97</td>
								</tr>
								<tr>
									<td align="justify">Agosto</td>
									<td align="center">4.20</td>
									<td align="center">4.60</td>
									<td align="center">4.01</td>
								</tr>
								<tr>
									<td align="justify">Septiembre</td>
									<td align="center">4.41</td>
									<td align="center">4.59</td>
									<td align="center">3.83</td>
								</tr>
								<tr>
									<td align="justify">Octubre</td>
									<td align="center">4.56</td>
									<td align="center">4.55</td>
									<td align="center">3.81</td>
								</tr>
								<tr>
									<td align="justify">Noviembre</td>
									<td align="center">4.77</td>
									<td align="center">4.65</td>
									<td align="center">3.7</td>
								</tr>
								<tr>
									<td align="justify">Diciembre</td>
									<td align="center">4.41</td>
									<td align="center">4.38</td>
									<td align="center">3.63</td>
								</tr>
							</tbody>
						</table>
					</table-wrap>
				</p>
				<p>La evaluación del recurso energético es un proceso mensual que se basa en los valores proporcionados en las tablas 4 y 5, específicamente diseñados para el método de Glover &amp; McCulloch. Estas tablas contienen datos esenciales que se utilizan en el proceso de evaluación.</p>
				<p>
					<table-wrap id="t4">
						<label>Tabla 4:</label>
						<caption>
							<title>Tabla de valores para el método de Glover &amp; McCulloch[24]</title>
						</caption>
						<table>
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="justify">Delta</th>
									<th align="justify">Ws</th>
									<th align="justify">HRADIAN</th>
									<th align="justify">Ho</th>
									<th align="justify">N</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="justify">-22.930</td>
									<td align="justify">90.811</td>
									<td align="justify">1.5849</td>
									<td align="justify">35.386</td>
									<td align="justify">12.10</td>
								</tr>
								<tr>
									<td align="justify">-17.245</td>
									<td align="justify">90.595</td>
									<td align="justify">1.5811</td>
									<td align="justify">36.479</td>
									<td align="justify">12.07</td>
								</tr>
								<tr>
									<td align="justify">-7.9149</td>
									<td align="justify">90.266</td>
									<td align="justify">1.5754</td>
									<td align="justify">37.494</td>
									<td align="justify">12.03</td>
								</tr>
								<tr>
									<td align="justify">4.4139</td>
									<td align="justify">89.851</td>
									<td align="justify">1.5682</td>
									<td align="justify">37.315</td>
									<td align="justify">11.98</td>
								</tr>
								<tr>
									<td align="justify">15.210</td>
									<td align="justify">89.478</td>
									<td align="justify">1.5616</td>
									<td align="justify">35.746</td>
									<td align="justify">11.93</td>
								</tr>
								<tr>
									<td align="justify">22.174</td>
									<td align="justify">89.217</td>
									<td align="justify">1.5571</td>
									<td align="justify">34.059</td>
									<td align="justify">11.89</td>
								</tr>
								<tr>
									<td align="justify">23.049</td>
									<td align="justify">89.183</td>
									<td align="justify">1.5565</td>
									<td align="justify">33.811</td>
									<td align="justify">11.89</td>
								</tr>
								<tr>
									<td align="justify">17.650</td>
									<td align="justify">89.389</td>
									<td align="justify">1.5601</td>
									<td align="justify">35.214</td>
									<td align="justify">11.91</td>
								</tr>
								<tr>
									<td align="justify">7.3423</td>
									<td align="justify">89.752</td>
									<td align="justify">1.5664</td>
									<td align="justify">37.018</td>
									<td align="justify">11.96</td>
								</tr>
								<tr>
									<td align="justify">-4.611</td>
									<td align="justify">90.154</td>
									<td align="justify">1.5734</td>
									<td align="justify">37.616</td>
									<td align="justify">12.02</td>
								</tr>
								<tr>
									<td align="justify">-15.363</td>
									<td align="justify">90.527</td>
									<td align="justify">1.5800</td>
									<td align="justify">36.762</td>
									<td align="justify">12.07</td>
								</tr>
								<tr>
									<td align="justify">-22.23</td>
									<td align="justify">90.7</td>
									<td align="justify">1.5844</td>
									<td align="justify">35.538</td>
									<td align="justify">12.14</td>
								</tr>
							</tbody>
						</table>
					</table-wrap>
				</p>
				<p>
					<table-wrap id="t5">
						<label>Tabla 5:</label>
						<caption>
							<title>Valores para el método de Glover y McCulloch[24]</title>
						</caption>
						<table>
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="center">n</th>
									<th align="center">Irradiación Global (kWh/m2)</th>
									<th align="center">H/Ho</th>
									<th align="center">n/N</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="center">4.57674</td>
									<td align="center">4.33</td>
									<td align="center">0.1223</td>
									<td align="center">0.3779876</td>
								</tr>
								<tr>
									<td align="center">5.31333</td>
									<td align="center">4.21</td>
									<td align="center">0.1154</td>
									<td align="center">0.4398658</td>
								</tr>
								<tr>
									<td align="center">4.08133</td>
									<td align="center">4.58</td>
									<td align="center">0.12219</td>
									<td align="center">0.3391057</td>
								</tr>
								<tr>
									<td align="center">3.77366</td>
									<td align="center">4.4</td>
									<td align="center">0.11796</td>
									<td align="center">0.3149907</td>
								</tr>
								<tr>
									<td align="center">4.583</td>
									<td align="center">4.21</td>
									<td align="center">0.11777</td>
									<td align="center">0.3841440</td>
								</tr>
								<tr>
									<td align="center">4.641</td>
									<td align="center">4.18</td>
									<td align="center">0.12272</td>
									<td align="center">0.3901410</td>
								</tr>
								<tr>
									<td align="center">4.726</td>
									<td align="center">4.29</td>
									<td align="center">0.12687</td>
									<td align="center">0.3974398</td>
								</tr>
								<tr>
									<td align="center">6.075</td>
									<td align="center">4.6</td>
									<td align="center">0.13062</td>
									<td align="center">0.5097086</td>
								</tr>
								<tr>
									<td align="center">5.8356</td>
									<td align="center">4.59</td>
									<td align="center">0.12399</td>
									<td align="center">0.4876455</td>
								</tr>
								<tr>
									<td align="center">4.35233</td>
									<td align="center">4.55</td>
									<td align="center">0.12095</td>
									<td align="center">0.3620715</td>
								</tr>
								<tr>
									<td align="center">4.6713</td>
									<td align="center">4.65</td>
									<td align="center">0.12648</td>
									<td align="center">0.3870100</td>
								</tr>
								<tr>
									<td align="center">5.50333</td>
									<td align="center">4.38</td>
									<td align="center">0.12324</td>
									<td align="center">0.4550596</td>
								</tr>
							</tbody>
						</table>
					</table-wrap>
				</p>
				<p>En la <xref ref-type="fig" rid="f6">Fig. 6</xref> se muestra los valores de la regresión lineal para obtener los valores a y b. </p>
				<p>
					<fig id="f6">
						<label>Figura 6:</label>
						<caption>
							<title>Regresión Lineal[24]</title>
						</caption>
						<graphic xlink:href="data:image/jpg;base64,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					</fig>
				</p>
				<p>La gráfica presenta el resultado de una regresión lineal aplicada a los datos en el eje X, que corresponden a las horas de sol divididas por el fotoperiodo, mientras que en el eje Y se muestran las cifras de radiación global dividida por la radiación solar extraterrestre. A través de este proceso de regresión lineal, se obtienen los valores de 'a' y 'b', los cuales son claves para el cálculo de la irradiación mediante el método Glover &amp; McCulloch, como se detalla en la tabla 10.</p>
				<p>
					<table-wrap id="t6">
						<label>Tabla 6:</label>
						<caption>
							<title>Valores de irradiación por el método de Glover &amp; McCulloch[24]</title>
						</caption>
						<table>
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="justify">Meses</th>
									<th align="justify">a</th>
									<th align="justify">b</th>
									<th align="justify">Glover &amp; McCulloch (KWh/m2)</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="justify">Enero</td>
									<td align="justify">0.0336</td>
									<td align="justify">0.109</td>
									<td align="justify">4.30441489</td>
								</tr>
								<tr>
									<td align="justify">Febrero</td>
									<td align="justify">0.0336</td>
									<td align="justify">0.109</td>
									<td align="justify">4.51319667</td>
								</tr>
								<tr>
									<td align="justify">Marzo</td>
									<td align="justify">0.0336</td>
									<td align="justify">0.109</td>
									<td align="justify">4.51176309</td>
								</tr>
								<tr>
									<td align="justify">Abril</td>
									<td align="justify">0.0336</td>
									<td align="justify">0.109</td>
									<td align="justify">4.46004918</td>
								</tr>
								<tr>
									<td align="justify">Mayo</td>
									<td align="justify">0.0336</td>
									<td align="justify">0.109</td>
									<td align="justify">4.3555989</td>
								</tr>
								<tr>
									<td align="justify">Junio</td>
									<td align="justify">0.0336</td>
									<td align="justify">0.109</td>
									<td align="justify">4.15691534</td>
								</tr>
								<tr>
									<td align="justify">Julio</td>
									<td align="justify">0.0336</td>
									<td align="justify">0.109</td>
									<td align="justify">4.13492711</td>
								</tr>
								<tr>
									<td align="justify">Agosto</td>
									<td align="justify">0.0336</td>
									<td align="justify">0.109</td>
									<td align="justify">4.43931525</td>
								</tr>
								<tr>
									<td align="justify">Septiembre</td>
									<td align="justify">0.0336</td>
									<td align="justify">0.109</td>
									<td align="justify">4.63933282</td>
								</tr>
								<tr>
									<td align="justify">Octubre</td>
									<td align="justify">0.0336</td>
									<td align="justify">0.109</td>
									<td align="justify">4.55552896</td>
								</tr>
								<tr>
									<td align="justify">Noviembre</td>
									<td align="justify">0.0336</td>
									<td align="justify">0.109</td>
									<td align="justify">4.48296791</td>
								</tr>
								<tr>
									<td align="justify">Diciembre</td>
									<td align="justify">0.0336</td>
									<td align="justify">0.109</td>
									<td align="justify">4.41490018</td>
								</tr>
							</tbody>
						</table>
					</table-wrap>
				</p>
				<p>En la Tabla, se presentan los coeficientes de regresión 'a' y 'b' correspondientes a cada mes a lo largo de la vía E435, los cuales se calculan a partir de los valores de irradiación obtenidos mediante el método de Glover &amp; McCulloch. Estos valores se utilizan para elaborar una gráfica de comparación entre los datos provenientes de la base de datos de la NASA y los datos generados por el método propuesto por Glover &amp; McCulloch, tal como se ilustra en la <xref ref-type="fig" rid="f14">Fig. 14</xref>.</p>
				<p>
					<fig id="f7">
						<label>Figura 7:</label>
						<caption>
							<title>Método de Glover &amp; McCulloch vs Datos de la Nasa[24]</title>
						</caption>
						<graphic 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"/>
					</fig>
				</p>
				<p>En la <xref ref-type="fig" rid="f7">Fig. 7</xref> se muestra la irradiación por cada mes la misma que está dada en kWh/m2.dia.</p>
				<p>
					<fig id="f8">
						<label>Figura 8:</label>
						<caption>
							<title>Modelo de G &amp; M vs Datos de la NASA vs datos PVSYST</title>
						</caption>
						<graphic 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"/>
					</fig>
				</p>
				<p>La <xref ref-type="fig" rid="f8">Fig. 8</xref> ilustra una comparación entre la irradiación proporcionada por las bases de datos de la NASA, PVSYST y el método de Glover &amp; McCulloch. Se puede observar que la base de datos de PVSYST muestra una irradiación especialmente favorable para el sector considerado como caso de estudio. Esto se debe a que PVSYST es un programa ampliamente utilizado con fines comerciales y ofrece datos que respaldan la idoneidad de la instalación de un sistema fotovoltaico en esa área, por esta razón los resultados de irradiación no son los mas adecuados.</p>
			</sec>
			<sec>
				<title>Calculo distancia entre luminarias</title>
				<p>La correcta disposición de las luminarias en el contexto de los postes de alumbrado público, son elementos fundamentales en el sistema. Estos postes de 500Kgf albergarán componentes esenciales como paneles solares, reguladores de carga, inversores, baterías y las propias luminarias, tal como se ilustra en la <xref ref-type="fig" rid="f9">Fig. 9</xref>.</p>
				<p>
					<fig id="f9">
						<label>Figura 9:</label>
						<caption>
							<title>Poste de alumbrado público </title>
						</caption>
						<graphic xlink:href="data:image/jpg;base64,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"/>
					</fig>
				</p>
				<p>Cada poste tiene una altura de 12 metros y la capacidad de alojar dos paneles de 400 W. Además, cuenta con una unidad de almacenamiento que incluye un inversor, un regulador de carga y baterías. La luminaria se posiciona a una distancia de 1.5 metros desde el poste.</p>
				<p>
					<fig id="f10">
						<label>Figura 10:</label>
						<caption>
							<title>Disposición de luminarias en la vía E487 georreferenciada</title>
						</caption>
						<graphic xlink:href="data:image/jpg;base64,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"/>
					</fig>
				</p>
				<p>Para determinar la separación óptima entre las luminarias, tomamos como caso de estudio la vía E487. En este escenario, aplicamos un factor de mantenimiento de 0.65, que corresponde a condiciones de luminaria abierta en un entorno con niveles de suciedad considerables debido al alto tráfico vehicular en la vía. A continuación, procedemos al cálculo de los parámetros relacionados con el factor de utilización.</p>
				<p>
					<disp-formula id="e7">
						<graphic xlink:href="data:image/png;base64,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"/>
					</disp-formula>
				</p>
				<p>
					<disp-formula id="e8">
						<graphic xlink:href="data:image/png;base64,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"/>
					</disp-formula>
				</p>
				<p>
					<disp-formula id="e9">
						<graphic xlink:href="data:image/png;base64,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"/>
					</disp-formula>
				</p>
				<p>
					<disp-formula id="e10">
						<graphic xlink:href="data:image/png;base64,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"/>
					</disp-formula>
				</p>
				<p>
					<disp-formula id="e11">
						<graphic xlink:href="data:image/png;base64,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"/>
					</disp-formula>
				</p>
				<p>Se obtiene un valor de 39 m la cual es la separación entre postes, a continuación, con el valor obtenido se calcula la iluminación media en el momento en el que se pone en marcha la instalación.</p>
				<p>
					<disp-formula id="e12">
						<graphic xlink:href="data:image/png;base64,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"/>
					</disp-formula>
				</p>
				<p>Para el cálculo del número de postes a lo largo de la vía se realiza lo siguiente.</p>
				<p>
					<disp-formula id="e13">
						<graphic xlink:href="data:image/png;base64,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"/>
					</disp-formula>
				</p>
				<p>Se realiza el cálculo para el número de postes que serán instalados en la vía por cada km [18].</p>
				<p>
					<disp-formula id="e14">
						<graphic xlink:href="data:image/png;base64,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"/>
					</disp-formula>
				</p>
				<p>Dentro del software DiaLux, se introducen los parámetros de distancia y el tipo de pavimento con el propósito de verificar si los resultados que se generan son adecuados para el tipo específico de vía en consideración.</p>
				<p>
					<fig id="f11">
						<label>Figura 11:</label>
						<caption>
							<title>Iluminación de la carretera en el software DiaLux</title>
						</caption>
						<graphic xlink:href="data:image/jpg;base64,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"/>
					</fig>
				</p>
				<p>La <xref ref-type="table" rid="t7">Tabla 7</xref> presenta una comparativa entre los parámetros fotométricos de iluminación obtenidos mediante el software DiaLux y los valores nominales correspondientes al tipo de vía, que es M2 en el caso de la vía E487. En esta comparación, garantiza que todos los valores generados por el software superen los valores nominales, a excepción del Incremento Umbral, que debe ser menor para cumplir con las regulaciones específicas del tipo de vía en cuestión.</p>
				<p>
					<fig id="f13">
						<label>Figura 13:</label>
						<caption>
							<title>Arreglo por cada 10 postes</title>
						</caption>
						<graphic 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kiKYwybhuOCzHk8kj2rp65Two6za7qcypar5ttaufsrboif3n3TgZHvXV152N5vbNSd9F+RUdgooorlKCiiigAooooAKKKKACiiigAooooAKKKKAMfSv8AkPa7/wBdov8A0SlUvHcT3OgxWqFcXN3DC4YkKys2CDjnH0q7pP8AyHtd/wCu0X/olKyviXK8HhMyxOUkjnRlZeqkZwRXo0E3i6aX938kQ/hY/wCHExl8KKglEsUNxNFEykkbFchcZ5xjpmmfEG8On2ukXioHMGoLIFJxnEb8Zqr8IjnwHAT1M8n/AKFVzx9ax3dppUdyxjtjqCCaTIGxSrjJJ4HJFbyUY5lJPbmf6i+wM+GE0lz4Jt55nZ5JZZXdmOSSXJJNddXK/Da0ksfBdtBJtJSSUBlOVYbzgg9wfWuqrix7TxVS23M/zKj8KMXw511b/sIy/wAlrarF8OddW/7CMv8AJa2WYKpZiAoGST0FZ4j+I/66DWwtFZJ8UaQLZ7g30XloxUkHOecZAHUZ71ZGsaeYkk+2wBZBlcuAT+HWodGot4v7gui7RVG01myvZIo7ebc80ZlQbSNyA4zmr1TKMou0lYZ5l8Zxmz07jtP2/wBlfauL8FjHjy04xi+Xt7Sew/p9PT1zxn4OTxfb20bXjWpgLciMPuDAAjBI9Otct4K+Hnk6jHrU2oFvKu5CsSwgb9jOgOc8Z5OK+nwWPw9PLnTlLWzWz3d7GEotzuenUUUV8sblbUb6PTNPnvJw7RwoXYIMsfoKz/7fn/6Aeq/98R//ABdL4s/5FbUf+uJrYrePJGmpNXbb/C3+Yup5/e2+rnWdRvrDTZTHf+WzxXlkkm1kXaMYkHal0bwdq8mlaTFfyWFrHbSxXDxx22JiUbcFZ92DXf0V0vManLyxSW3TXRWX4E8iCiisS58VWVtqrWLJM0i4Xcq8FyVG0e/zZ/CuKnSnUdoK5bdjborm7Lxvp91E7TJLA6sQEI3FhxgjH+8KY3ji0ZZmt4GkESK4DSBWfJAwo6EjcO/Xit/qVe9uUXMjp6xPGf8AyJmsf9ekn8q2lOVBxjI6VDe2cOo2U1pdJvgnQo65xkHrzWNGahUjJ9GgeqPm2dJAOfL+8vSLH8Te1fQ3hv8A5FnTP+vWP/0EVyCfDnw+3iia0a3nNutokoQ3EnDF2BOc5rvoII7a3jghQJFGoVFHQAcAV7ec4+liYQjTvprqu6M6cHHckqOeQxW8kgGSilsfQVJUF5/x5T/9c2/lXgx1aNTD0+fxJqGnW12s2lIJ4lkCmKQ4yM4+971Dquha3rCQC6uNPDW8nmxPEJUZGwRkEN6E1reG/wDkWNL/AOvSL/0EVp11yxEqVV8iSs30JtdHIaV4Imgvby71HVLt5bgIo+z3Mi4Cgjkk5PX8K6TS9MttG02GxskKW8IwiliSOc9T7mrdFZVsTVrfG+3ppohqKQUVV1DUrXTIBLdyrGrMFUE8sT2A7moP+Eg0v7Ytr9tiMrAsMHIwM9+nY1nGlOSuk7DuaNFUJdb06J1Q3cTOziMKjBjuPbA+lTWV/b6hHI9s5YRyNE+VIww6jmh05pXa0C5ZrwPxeufHN58uc3j/AMOf+ef+yf6/4++V5p4w+Hvnak+rxaiUM93H+6aANtLsik5zzjAOK9fJMRToV37R2urL1M6ibWgvwZ4sNS47w9v9k+1elVzfg3wevhC1uYlvGujOyncYwmAowBgE/nXSVx5lWhXxU6lN3Tt+SKgmo2YVijxIJJZ0ttL1G4WGVomkjRNpZeDjLA1tVieGP9RqH/YQn/8AQqwpKPJKUle1hsbc6zNc2ssJ0TVlEiFMiOPjIx/friToPiCdNHso7C32Wc8X76eyVTsRSoLnzDuGMZAr1Oit6GOdBPkivzE433Of0PQLyw1e51G/uLV5JYEt0jtYDGiqpY9CTzljXQUUVy1asqsuaQ0rBRVS/wBTtdMSNruZY/McIgJ5YkgcDv1qFfEGlteC1W9hMpXeMHgjOPvdOtCpTkuZJ2Hc0aKz5Nc05JET7ZE7u+xVRtxzjPbpxVixvoNRtUubVy8L/dbBGfzpOnOKu1oFyxXzd4r8r/hMNW3wSOftT5KvjPz/AEP0r6RrzbxR8PIPt/8AaEOo3KNe3qK0e1SF3uM4yPXmvZyLF08PVl7R7qy/pGVWLa0H/Bjb/wAI9fbVZR9pHDHJ+4tejVh+FvC8HhawltoLiW48197PIADwAAMD2FblefmFaFfEzqQ2ZcFaNmFc/D4h1C7817LQ5ZoEleISG5jXcVYqTg+4roKxfCn/ACCZf+vy5/8ARrVlS5VCU3G+3fz7Ndhvcgu77WLyzmtn8PShZo2jJF3HkAjFcsnhfxReX2lrNN5ENm2RNLDAxQBCo4X7x7c/WvSqK3pY6VFNU4RV/Jvy6ticb7mLoWhXGlXV5c3moG9muVjXPkLEEVM4AC/71bVFFclSpKpLmlv935DSsFFFFQMKKKKACiiigAooooAK5OTw/rrz3jNqalLhmwBIy7Rzt7cAZ+6OvrXWUVtSrSpX5eomrnI23h/xDaaf9ki1WMIFO1tzFgcnjOOnI/KnHwtqLXqzfbtii7FxxIxOOrA8c9MAdgT1rrKK1+u1bt6a+QuVBRVe9huJ4NlrdfZpMg7/ACw/Hpg1n/2brH/QdP8A4CJXE210N4U4yV3NL1v+iZhTaXqt94s1eawvRBHFJGAhcjLGFQeAPQjnt6Vn+JvDGtwaXfXsN+jJHMt48TOWJVAxIBIxnn8cUvh7RNfTxVqpbVfL8tsTSYD+YWAZflPA4I+nStvX9C12+0W4t4NY85pBgxmFY947jcK7YZnWptS9nslpZapJfmdE8DRVRQVaLT666X+VtPX7jG8LeD508M2rB0USQyyRL5rA4lwUDEccKT26n2ro9Vs3g8A3VpdMJpI7BkduSGITrzz271X8MaJrem6Zaw3uqBREeYBGr4XPC7+v+FSeO9I1PW/DE1no8wjuHZdwLbfMTuue3/1q0hjJ4qvF1Xypyvr01OWvRjRk4wkpW7X/AK/M3LJQljbqoAAjUAAYxxUxIGMkDPSvGpvDnjLTtT0KKfVnZthKIkxPlhDlhj+M4I+vTpXZSaB4ivSWk1rZtyySSWyAqSeoA6EAD6cipxeGhRkuWopX1692uz7DowU1eTsjZ8Ouok1VCfmbUJiB6gba2JoknheKQZR1KsPUHg1wnw98M6/oup6hc6zdLLDPymJd+9icl/b/AOvXdxTRzpvhkSRc4ypyM1GLjyVnaSfmtjPSysYY8GaUIHhAuNkgUP8Av2+facqT7ilbwro0TqpV03OCqGYgHHYDPT1HermoS3aXSR2rMfMjb5dnyg9ju7cmiCzuZY7Y3nliWBs7wdxbGR1x9DWX1yu3bmf3mqoRUVKTX6lbS9G0y0uYGsXm3QRsFHmsVwzc5HQnK/pWpcXltabftNxDDu+75jhc/TNNgsYbe7nuIwQ8+N4zxxnoO3Wi706zv9v2y0t7jZnb5sYfbnrjIpKo6kr1m2ZyUU/c2IZNc0uKNpH1G0CqCxPnLwB+NYPgzxPo95pEiRahAGjuJiyyMEOGkZlPPYg1sXHhjRbm2lhfSrILIpUlYFUgEY4IHBrmfAPhDQrbTbqZbZLuRrmWFmuEV9oR2UBcj07967qccK8PNtyvddvMzfNdHXf2xpv/AEELT/v8v+NH9sab/wBBC0/7/L/jUf8Awj2j/wDQJsP/AAGT/Cj/AIR7R/8AoE2H/gMn+Fcn7jz/AAK1MTxr4m0i18N3MUmoQGS4UxxrGwck/h0q9D438Pz6p/Z8eqQGfbuHOFPGcbumcdqz/FPgfw1qVpFJfrBpqQt/rodkIOexJGDmua07RPBNn48nZbqyMEFoksaSXCNCWJZW5JwTgA49813wWAlQtKUuZXfTfSxD5rnp0F1BdIXt5o5lBwWjYMM/hUtUN2n6PpzXFvDDDa8Ofs8YAbOADx16iq3/AAlejbJGF9GfL6jBz0zwMc15ypSnrTi2i79zTluYYBmSQD5gvqcnoMVnTS6c7XEstijNHIqzs8IyB1DHPUdKijtItbiW+gk8u3uFSVBs+bcM8nPHQ4x7CtG10+O183DySCXG4SNuHAx/IVjepGTWx0JUVG97v+v+CR21lZT28M32K2G4eYoEanGR9KkOl2JGDZWxGAOYl7dO1WVUIoVQFUDAAHAFLV88+5g7X0ILy5Wxs5bho5HSJdxSJC7H2CjrWD/wnNn/ANA3W/8AwXS/4V0tFaU5U0vfjf52/QTueZwfEuxfx5Mo0+/MbQC2G2ImTcpZjmPr3x610/8AwnNn/wBA3W//AAXS/wCFUbW40b/haN0scUAuzaqnmiPrLliw3dN23FdnXfjJYeLhak17q6/8AmN+5zX/AAnNn/0Ddb/8F0v+FZ2vfEay0/SJ5f7N1Xcw2KJrR4lyeOWYYrtqq6laWl7YTQ6hDHNbFSXR1yCBzXPTq4ZTTlTdv8X/AABtS7nm9p8WrDSfD2kRDTruVvJEchI2KNoCkqT96u20vxZaatdRwQWepoZBuWSazdExjP3iMVy+pX2m6tZ6RDpvhy5mitbiKaNDbINsPViBuzyMHHeuq8O+K9N8TrcjTnkD2z7JY5E2svofpwefatMTWwk43p02pO99fPToKKkt2bVQXF5FbPGkpYNJnbhSegya58+MHhDm40y4KRsweSMZwAT26ngZq1pl7Jrjzx3kRge1mV1WJjgdwC3Qn1ArlqYWrCLk1saQlDm97YivGtNdlsUuAoUu2FEhVwcZ+hB+Xjvn2qCy8J2008wvoJsQoIYiZTtxzyvPA549K6K2sre0UrbxKgznip6zhWqwSSkzWpOm7qEdPP1ME+DNJYgvFKxBU/NKx6Z/nnmtPT9Ng0yKRLffiWRpXLNklj1P6Vboqp16k1aUm0YWRUk1WwikaOS+tkdThlaVQQfcZrn/ABj4l0iy0mFpb+A5uoWCxsHJCyKx4HsDW7LomlzytLNptlJI5yzvApJPqTiuV8d+D9DvNLtma1itHF1FGJLdFjOHcKQeMHg/pXXglh3Xgpt7+RMr2Oph17Sp4Ulj1G0ZHUMp85RkH8ad/bGm/wDQQtP+/wAv+NVbPwpollaRW0el2bJEoUNJCrMcdySOTU3/AAj2j/8AQJsP/AZP8KwksPd2vb5Fakh1nTFBJ1G0AHJ/fL/jXNeF/Fmhmz1WT+07dVjvJpWLNt+QtkMM9c+1b8nhvRZYnjbSbHa4KnFugOD74rlYfAvg3QIryzvLqAPeL/y93CB417bM4I+tdFF4P2cozcru3b5kvmvodJpni3RNXtTcWmpW5QHaQ7hGB+hwa2FYOoZSCpGQR0Nef/DzSfCo0K3SI2N3e3WZHScxyS5GeAp5AAFdhd6zp+lTJbXMgh/d7lwh24zjAxWOIpUnVcMNdr+uw03bU0CQASTgDvVea+hhWT70jIu8rGuTiqDeI9JubiKyS4SZrkYAH3cdOT7njFLFoChQJrh8+X5beV8mRggc9eh/QVy1IVIWurXN6SpO7myDVY9P1O8sY7qKRizAwkOVDqRuPTqMqMg+1KfB+lsQXWd2WMRqWmYlQDkY+nathLeNEiUrvMQ+Rn5I4x1qWtIV6sFZSdiJ8jtyowR4M0gFD5Up2MrLmVjjFaem6Zb6VbGC1DBWdpGLNksx6kmrdFE69WatKTaIsjNk8SaLDI0cmr6ejoSrK1ygII6gjNcv4y8daFZR6ei3kd032uOZhbMsm1UYEk4P5CuubSNOd2d7C1ZmOSTCpJP5Vy/jfw9oEtvpz3dnbRH7bFGCuIsqzAMOMZGK7cF9W9vHmUvwJlzWN2LxZoM0SSLrOnhXUMN1ygPPqCeKf/wlGhf9BnTv/ApP8amTQ9LRFVdOswqjAHkL0/Kl/sbTP+gdZ/8Afhf8K5m8P0UvwK1Kk/i7Qbe3kmfWLBljUsQlwjMcegByTXLeGfiFoMHhy9uJrry2huJZDC2BI4eRmXaM88EfSuyk0LSponjk02zKOCrDyV5B/CuVutI8E6BYXukyR2qySIXdHy8gyMrzyR7V00amCVNxmpatdtluS1K+hraP480DWLBbpdRt7bJ2tFcyrG6n6E/rXRKyuoZSGVhkEHIIrhfAj+FptE06wgis/t7wCSSGWMGTdj5iciuk1HxDa6PdC2nilwIg4MS7uMkdPYA1hWp0p1XHDJta79hq9tTVd1jQs7BVUZJJwBVabUYIllI3SeSu5wgzgYz/ACrGHi6xv9Sg06CJ5VuC0bSMuFVh1BB75q/DoFuijzWaRtgQkfLkAYHv0A71zVqVWk0pK1zel7J3c2TSag6anb2vlYExJV+cFQpJ+hBx+dX6aiCNAqjCqMDmnVCRM3F2srBRRRTICiiigAooooAKKKKACiiigAooooA898Ja1eS+Mrg3akpqyO6kQlAhhO3AJ+8MdxXoVeS+Er6W5+JNjbPxHa2UyoATzuYsTj15x+Ar1qvUzamqdaNla6X6pfgkRTd0Nd1jXc7BV9ScVleKL2Ww8M6jc2sojnjhbY/B2n1xV3ULM3sAjDhSD1IyOhHT8ayvEOgS6lpOoxWsi+dcWxiRJDhN3HJx7AD868m7vsbqMOW7ep5fe63f74bnUk1611W2JXT4nmR3maRSpIGwccLnr14ruvB1x4hvNPv9N1yQNdWoMZmIB3F0DAEjuuecVxdlpet6b4ms7/VItRfX7kyeQAkLxPsXocuMDb6Y68V6P4St9ST+0rrVrcwTXVwHCnaMgIq5wCccj1qtQ5lHbUyLPwvfNfwBru8gi2DzME7WX+6ecDpjj1rqdG0w6VZvC0qyvJK0ruE2bixz0rQoraeIqzjyzlf7iZuLd0rBRRRWJIUUUUAYXja7lsfBmqz27bZFgIB9M8H9DWB8P7X+yfEXiDSY5kkig8iRgiFVWRgd2ASfQVs/EH/kQ9X/AOuH9RXMfDJnfxf4tMrMzeeoyx5xukx+lezho3y6q/63hb7tfvM38aPSqKKK8Y0OV8f2z3mlWFvFcC2kkv4ws5UMIjhvmweDjrXB6XBdeLryTw0NXivLCGUyXV+YUiknXj92i9duQeff0wD6d4o8N23irRm0+6lliUsHWSM8qw6H369K5K38JTNrEuhC7tRaWdrFKkgsUEhYswwSMEjC+vOTQB0Hg20im8GW9pMDLCrSRgSMWJVZGAyfwFaa+HtKWQP9ggLBSvzLnggAjn2UflT9E0pdE0mGxSVpRHuJdgBkkkngcDrV+rjUnFWi2gIra1hsraO3to1ihjG1EUYCipaKKltt3YBRRRSAKKKKAPK9PeKPxxAhaZp59dvDjzjsVUXH3OmTu6+1eqV5HaRt/wALJ0+XHyHWL9M+/B/rXrAmiKuwkTCHDHcPl+vpXr5tH3qdv5f1ZnT6klV7/nT7n/rk38jUwdWYqGBIwSAelME0MuFWSN94OAGB3Ada8mzNDwxLK01a9tZ/D0OoCQ20cepX0AaQEGMBlVfTA/H6dfR/B8OlQa1dxaHtNollAN4Ugu2+XJOQMmodf8H6LZGyeztGtzc6jEs3kzSKHDE7hgNjnFdNpWgaborStp9t5TTAB2Ls5IGcDLE+p/OkBo0mMUtFABRRRQAUUUUAFcD8RYReapp0E8yR2sNtc3b+ZGXXMYUg7QRnrXfV5v8AFYsskRQkH+zrkcem+LP6V6OVJvFRS8/yZE/hO08MyNN4X0uSRizNaxkk9T8orUrJ8K/8ippX/XrH/wCgitauOv8AxZer/MpbBXl/jNWi1jW7xNbGlGH7OMi3WVp8xnCAE+teoVyWu+ALXWfEMesC6aK4VQGjeJZY2IGAdrelZDOS0+wutZl0/wAWX8sMTfboIbO3tWACIZAG3EdyD09+fQen3OmWd5MJbi3SSRV2hj2Hp+tcX4b8Kvq9rp2tXl3CsrMkzR29qsako3A46fdHOM44rv6cZOLumBmp4f0uOWOVLKJXjlMykDo5xz+g/KtKiinKcpfE7gFFFFSAUUUUAFcD8QrZLq+JnlRIbbTJ5zvhEvIZAMA9Dkjmu+rzP4tKzRS7FYkWBJ2jt58efwr0spV8XFJ2IqfCd34fdpPDmmvISXa1iLEnJJ2itGs3w7/yLemf9ekX/oIrSrhrfxJerKWwV5N46kht9S1W5fVrqynhuomigtmIa4PlLw2CMKO5/rXrNcrrvgmxvNVl12Kee2v1iOWj2kMQuASGBHA4rMZyumWDahdaX4m1K/jutQu9SiWOOJ/lt0+b5Mevt2+pzXqElvDK26SKNzjGWUHiuL8L+FxqNlpOu6hfzz3jpFcPhI1VmC8dFBwM9M13FNNrYCAWdssqyi3hEikkOEGQT1596nooobb3AKKKKQBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHlHh2zFp4uGq2yNM9rYTm8hBO+OQM21SMcFhjA9ia6u48bpbRKnkpPPtWRmgfMW0kAjccc4Pf0rR02FYvF2tspP72O2dgfXDr/ACUVsCGMDAjTHTG0V6uKxVOpUTqQvouvle3yvYiMWlocuvjhXSYLYzeYsTzIX+VNoXI3HsT04B5xXT28wuLeOZSCsihhg5HIpTEjfeRT25FOACgAAADsK4Ks6ckuSNvncpJmDqv/ACOegf8AXO6/9BSt+uC8SW2qf8J/pL2rm7bDy28M/wC6hhAADkSL8zNjHykEc13gzgZ61iMWo/tEP2jyPNj87bu8vcN2PXHXFSVg6l4ZN/PeOl4YVu9u8eSrEFQBwT0HHT1rSlGEnabsJ3NlbmFmVVlQsxIUA9SOv5VG+o2cRYSXduhVtrBpAMH0PPWudPgSIiX/AImE2ZGLZ2DnPXd6571bh8JwxmVXuGeGWWKRoivB2c989TjJ9q3dPDr7d/kK77HQUUUVyFGd4g0oa5oF7pxfYbiIoG9D2/WuT0PS7rUV1vVIVW3uby5SGWJJyAwhO18OACu7nHtXe1jeFv8AkC/9vNx/6Oeu2jiJ06Eku6/zf/pK+4lq7MyfTPEz3Ae3uoYYo5AYo/OLYXGCGJX5v880x9G8TtEsTahC0cbJtTcw3AL3Yc9eT6119FJY2a+yvuDlMvQrLULKK7Gp3S3Dy3DSIyk4VSBxg9BkHgVl2GoW03xE1CKGUSs1jEMx/MqlXfcCw4B+YcHmuorh7bQ7W0+JU7GQ2ayQrPbQ2w8hLhsnfvxxIQcHns1c05ucuZlI7iiiioAw28V2cUTSzo8cZlaKJjz5jKSDwOV5Hf1qCDxvpspjEgmjMiKQPLZm3HOVwBnjGc9Oa1m0bTnmaZrG2aVm3lzEMlvX60Lo+nRoqpY2yqh3KBGBgg5z+ZNdfNhraxf3/wBf12J1M/TvFVrqVxbRRxuouA21mOACOQp/2iOcelbtZyW2lWtxuigtkmiVpBsQblB+8ePWrkFzHchzE24KcZ7HgHj86wqypOX7tWRahJK7RLRRRWYjirvSZdM8XC8j0+8u7Hc13GlusZ2XDgq5JYg4IwcetR6ZoUms6Yiw3k1pDA8sEkTRBXc8g+ZhiGPPWu5rE8M/6rU/+wjcf+hV6KxlR02+qsr/AHkcupmjwVOCh/te5AxhwhIBHOB1yQM4AOat6R4Xm0zUILltQeRY4vKMe3gjnAHPQZ+vHWuiorCWNrSTi3v5IfKjjvHeuJp8mmQeRIzrdxXBlk/dwKqnndIeAfQV10Usc8SSwurxuAyspyGB6EGuZ8ew2p0u1u7tIpUs7lZ2gkkCiVBneoUnaxxyAfTiuktZIpbSGS3wIXQMmBgbSOOO3FcpRLWJq+qXljqAWKF2gWAyALEXMz5PyZH3cDB59fatuirpyUXdq4M48eJtbZ2/4k8uCEkCBTkDC7lJ6Z5OD2xSp4h1u7WZhp8lq32bfCuzzMvnuffp7c11ryJEpaRlVR3Y4FU7jVYLcS/LI5iIDqq4IBOM84yPpXQ8VSX/AC7X4jjSnN+6WoPM8iPz9vm7Rv29N2OcVJVEagx1RbMx7WwzEk9VGMEfmR+FXq5L31HKDha/UK5HxzpzTG1vFRZlZJLB4mcpkTlVDA4PQgfhXXVj+Jv+QZD/ANflv/6NWunCTcK0Wv6voRLVFBdE1Syht4rWVZBb2KQQnz2RUkAIZioGGyMYz0xUCaR4oDMW1CEtkSDLnbvC46Y6ZzkdDxXXUVSxk+qT+QcpxV3oHie5STdqKF5IlXcsrIVx1wF469T/APqrrTPHY2KyX08cSxoPMkd8KD9TViqmqafDqmnTWk8UEqyLgLPEJEDdiVPBweazrYiVVJNJW7KwJWMnwJcR3Hg+xMe7CKyHchXkMemeo966GuU+HVnFa+G1K3U8s5YrcRSSErBIvBRUP3B7V1dYDKmp6gmmWZndGf51jVVIGWZgoGTwOT1rMuvF9hZ3SW8wkEoOJgqlvK+UnORwRx2rangiuYXhnjSSJxhkcZBH0qr/AGJpmc/YLXOQc+UvUdK3pSopfvE36Cd+hk/8JzpoiUkSCUsqsm07Uzzy2MdOa0tH1qLWPtAjikjMDhSH75GRUsmlab8xks7bDAbsxjnHI/KmR3OnWUDvb+UqOXc+Uv3mH3vx4p1J4flahFp+bHGE5PQ0KKQHIBpa5wCuS8b6dLMIpoRE4ukOmyJLnAWVlw4x3BUcd662sbxJ/wAe9h/2ELf/ANDFdOEm4VotClqijPouq2uI9OlDCK1jgt3edkEZUYYlACGJ45NV20jxSS7LqEIcP5i5c7c7GBwMdMkcHI7119FUsZNdE/kHKctc6Dq00cj/AGpjPIkKEi5dACvLuAOAegAAx61s6zf2mmaPPPqFzFbRbCpklfAyRwM1oVS1iyOo6TdWylQ8kbBGZFfa2ODhuD+NY1K0qiSl0/r9ASsZ/gqQy+DdK3RSxMtuqFZUKnIGOnp71u1y/wAP7OztPDUf2VZFnZsXiSMxKzjhxtP3eewAHSuorIZn6zqLaXYidEVi0ix5c4RNxxuY9gKxZvHEMdwsSWzyBJBFK6YwSVyCnryPrXUsoYEMAQeoNN8pB/AvXPSuilUpRVpwu/Wwmmczb+L5b21H2exYXKvDG6yZCuz9Qp68deR0rV0PVm1ZLssiKbedoQyElXAAOQfxq+7wQtlzGjEZ5wCcVX/tKzjhV42BR923YOGIPI+v/wBelUrUWmoxt8yo05vYu0UUVgIKKKKACiiigAooooAKKKKACiiigDHsf+Rr1b/rhb/+1K2K5aDXLODxtrNrJIY5RBAAWHyk4Y4z/wACH602HxQGjigSSaa6nnCIECnptL9T93rj6iumvSqcy91/Cnt/dRVOHMt0jq6KxYjqw1BNylrYyMDnAIHHJ9uuKsf8TERXDfeeNh5S8fvFBz+GQcfhXJzeRq6FvtL7zlPiBrsmna7otvBbqJzKrR3QuFV0DOFZfL6sCOv/ANau58+LzzD5i+aF3bM849a4HX9PuNS8ZaFZajbQsJix+1mIGRPK/efIc8bjgE4+ldfqFtBFOdSvbswQW8Ryd2wKMgks2enFXT5ZfFoZVIcjte5be/tY0R3uIwrglTu4OOtPF1A0whEqGQruCZ5I9cVwMvifSTey21vqMcklqFljkKER8sXOAOCc4FXpfEWlReIPty38Ep2pCu1sBsg5JPYA4/Orl7FXXN/XQqNGpJXSOrvrprOOOTahjMiq7M2NoJxn35NUree6ubkbZmZY7gq21NqlNvf8fQ+lVLTxPFqcEskFt9pijXd+7+bdjjjPfdnj0wasDXJhc+WbbKlyoAJBXr97sOn6iuZyTd7nVGjOMWuVX9UXLS0ngvrh5JfMhZVEWSdw5JIP58VerJj13z50jhtXYSAFCTjgnuMccc1rVcbW0OetGad5qwVi+GHVNCLMcKLi4JP/AG2etquD0LWtWtrK5gXTpZYjdTrBJHG3BMhzng9y3PTiuyjSlUpTUe6/UwbSep26XMMgBSVGBGRg9s4/nS+fF/z0T8/fH865TSJNQv8AXbZLqzkt7O3g3KPJYAuCOrHryMj+VbjaJE1wZRK/Mm/acEAcHA9ORn8TWFWnOlLllY2iqUur+40686vU1MfF6wa4+3/2dvbyPNdTAW8ls7AOc9f19q9FrmIYjP8AE26kkKutvpsQiVjkxszvuIHbIAyfYVBkaY1oCa9heILJbcqN/wDrBgn046GmHXC93DDBAr+YFO5pNoXK7iM45IBX65o13Uho8Vv9ns47i4vbhYFjLiMMSCck4Pp+tYGnr4nmmllutLstsV2xiRbnbhMkY+7z259q1c6a+yOEeZ2vY6XT9WF/f3tt5JT7K23duB38kZ/SpL23mkuIXiBdAGWSNmwhBHceucVzzQeI4HeWGwthuEjN/pnzZJyozt6DFWPDk+oa1oVrqMd0YkucSoHG9thySp98nr6AVjOSk/djZHTGmoa86/r0NXTtNa0WIyMu6NGTCDjkgk8/SrVpZw2SOlumxXcyEZzyetZUFlq0O50lQEpgIzlgGB7kjoeenrVuyi1IXTm8mUwjO0LjJ6YJ4+tRFrsOrFu750zRooorQ5Arm/Dl/HENYV1dRFqUu58Db8z8d/zpdY0/XJtcjutMuVjgSHGxpCFZvm4K475HPtWDoOn65cQakkwhkjfU2Z0WXYDh/wB4DhfmBHGD1rvhh06LamtbfqEZJS95HZtq1tGqNJ5ib1DAMvJBJ/wqxa3KXlsk8QYI/TcMHrjpWRoOjXFtZyJqpWZ95EeXL7VwAeT0zjOO1arPbabZlpHjt7eMcs7BVXnuT7muGcHCbje6NG6bjommcb8WNFGq+HoX821jMEp2iaJnaRmGFRMfxE4roo5b61XSYEhcgxBZwRu2kKOrYx1rA8Y+LPD8Y0lJNWtSRqEMp8uQPhVPJOM4HSt2+8W6HaWM87axYgRoW4nVj+QOTTjJRd2rmZFd6teRNcxqCjRSFlZ4ioMYUdM/e+YgcdafLqlxHdaakbl4pcmZniKnGQAcdv8APWuY8PW154tXT9ag8USzKtuUmWOKMCOXKkrtx9eT6D1q7rFhDpcFvb6p4ong81DDCPs6bmVcEgYXPYVbrLpFf0jSEKb+KVjq7vyby2ltvNjDOu3PB2nOAcfX9RUCW1us7rcXZmkdUDIzADjoQOvJ9+9cbout6dHq9+dR1SWWOCYG3lMDJ5qlBnhV7Nn8a6Wz07T9YsYbqxvHmtHG6GRT1ORk5PJ+4K59d7G8XTXu87t6G78u4N8u7HXvilrIk8PRyED7TMEG75QeOePyArX6VSb6mFSMFbllcWsfxN/yDIf+vy3/APRq1sVz/jaWeHw95lqu6ZbmAoNucnzFxx9a6MKr1oLzRk9jcknihZFkdVLnC5PU0efEf+Wifn74/nXNDWdTuJrNJ9KmXZKvmnY2Oe445xnPXiodMF7dXiQzxSpHcxyNOz2jIEYOdm0np/ewfX3olhasU27feXF02tWdYssbttV1JxnANQakJW0u6FuZRMYX2eUQH3YONueM/Wo7LS47GZ5I3Zty7QD2/Grtc6vbUc1FP3XdHnvw4lvrPStel1CO6lv47gNIl05MzHy1wGIz26YrsBrkJS0fb8lwpYncPkwm7HvWd4Et4x4NsywR5Jw0kz/e8xyxySe5q14jvksLezhWxiu5bqdbeOF5AgGQTnODxx2HetYOCXvIzHprchsrm5a1AWBM7fN+Zm44xjjr/wDWq/Y3QvbKG4C7fNQNtznFctYf8JPLNLcX2lWLN5zhVS525jyQA3y8npz3wKc91rNnqFhazW0cCXZlhjZbjzNr4aRcjA4G0ipnUi17sbG0aKerkjYewupLhgRG0aziSN5WJbbjlf8Avr9OKtf2VbvaSW8wLo8hkPbBJzxjpVWCw1JI8Ne4YPyT825cE49uWx9FFRQ2erRM8kckalowBG7lwGBPfHQg1itOh0u70U0rG5RWfZRaiLlzeTKYhnaq456dePqa0KtO5yTjyu17+gVjeJP+Pew/7CFv/wChitmud8b/AGn+xIPsJIuftkPlYAzu3DHXiunCq9aK8zOWxvPPHHIiO4Vn+6D3oWeJsbZEOcYwa5l5PENxd26z2YWKNirsm05yCNwO7sMdupNZWk+H9b3iCZGhhl2Ts8hXMUgPONpPJ/IZNTOhOKbun8zenGlJe9Kz9Du0nikOEkRjgNwc8HvVPXopp9BvorXzDcSQusQil8ty2OAG7H3rKtPCctnEEjvicDAJXnrkd/RmH0IqxrOniKymnkvAkESMxMpAEa4HQ9vu9/WuZSlbVGk6VFStGpdejOc+H8t5pngvU5LhWa8hvJN4lk8wlgqDBcH5vz9u1dRca41ubQvGoWeF3YHOQwUEAfUnFYng2xln8GaW1hfxrGYFyIiSobnd+Pr7iq9rq+sXXjK90rTbvT7mKxgAkW4kY7nLBs8ZwRnGPatqdSK0lH+v61MalOKV4yub76xdQ2F5M6QNNb4URLuznIBz7HtWtZzNcWUEzqFaSNWYDsSKx2k8UIpZk0QKOpMkv+FVl1/UrTV9PttSOlNDeO8e+3mbchCFs/MMY4xTnOMlpGxkjQj0253oD5SxxXBkQsS7Ffr2OTV3+z4GthBInmIJDIN397duz+ZqeOaOXPlyI+Ou1gafWKikbSrTkFFFFUZBRRRQAUUUUAFFFFABRRRQAUUUUAcyuiadf+LNXa6s4pWMNuSWHP8AH/gPyrXh0PTYJFkisoVdXDq23kMBgEH6cVWsf+Rr1b/rhb/+1K2K6q9WpdR5nay6+SJSQhOOTWbrF3qMNpE+i29pdzO+Cs8/lrtweQQDk5xxV65g+02ssO4r5iFcjtmsuXw/50EcTThQocfJHjbuIOV54PH6muNt9Eb0405fHK3yPOPEnijxlb+NtFC6Pah0VhEkLmaOUOQGy+BjGB2461a+Iuv+Mrfw95Emj2cUNy3lySW0rXBA64I2jGfWvQbbQ1gvPPaRWBBBjEeFwRjGP896cNH/ANCWE3LGQPuMpUZI6Yx/u8UJy7FOFK+kvwIfDc1zd6NbX2q2sdrqNzGpniVs4xnb16HBzjtnFU/EOoavYatZJayWUGn3P7ozzxM5SbPyg4YYDdAfXjvVpNGW2QQtdKolkBUkYZmAPA59AT+FW5NPsrnS5dOuSk1tKrKUZv4c9Pw9famuZ9Cakacfhlf5HJy2/iDwrBOLW/064utSvGligNs+XlfGQPn4UAZJ7AV3EIkEEYnKGXaN5QYUtjnHtXO+GrGIX0lxc6tHql3DH5MDDGYoe2R/ebjc3fArpqpxcXZoyCiiikAVj+Fv+QL/ANvNx/6Oetisfwt/yBf+3m4/9HPW0f4MvVfqLqbFQXd0tpEHZWbLBQq9STU9RXFvFdQmKdA8bdVNYO9tC425lzbGDrD2t9NblrvVICQiILWcxhmflQcd+K4Wx8BzHx3ca0devTYoN7OJWW42sMbS/oO59BXqMmlWUpJe2jJK7OnbrT00+1j8zZAgEq7XGOCPSp943boW2dzy3xh8P5dW1jTr61167SBFGTdSvJImG5ZD9Oce2a9Ki1OCKCBWM20hkDOCWO3jkdcmrUllbyoiyQoyxgqgI+6CMcfhWTe3emaHcrFNBtHlGRCDn+JU2gH1Lfzq4QqTfLDVk3o21TMfWtE0y01save2wudMv9q3DMzf6O54VxzwjcA+hwfWoofDOkajr8dvpNklvYaZIGnmhZl8yUciJcHoOrfgPWtC98ZaN/Z00PkyTKYP9QU+VgQflPYdOa0fDUkAs5bSzsY7S2tJPKQRtuVjjJx7gnn3zW88NVhHmlGyOfmV9DZooorAYUUUUAFYnhn/AFWp/wDYRuP/AEKtusTwz/qtT/7CNx/6FW8P4U/kLqbROATjPtWLLqDXFjIs0cMgLhcPGSpGM4we+ePrW3RXO031NYTjH4lc8z8QeDdL8V6lp5urI2hjfa5tVEeVzyjcckdcjnmtzU/DWl6p4fvNPn0mCGGELHugjCuMHOUOM8Db9eRXYUUlF9zSVWm9oWOO8IaTbeEdJl06xicHeHYynLyOeucccKBWtdW3/CSaVyslncxMJbeXq0T4yrD88EdxkVd1ea4t7Ay2kZklV0+VV3HbuG7A+maxZtf11LnbDobyxmUqDkrhcnrnvjB9Ocdq3pYadRXTXzaRnOpBqyjYg/tS/wDEaroZgls7lfl1SVchYlH8Mbdy/YjoM966u3gitbeOCBFjijUKiKOFA6CuY0rU/EVzrcC3lq0dk5ff+6wFGDjk89cfn37dXTrUXSaTafoZJ3CiiisRhWP4m/5BkP8A1+W//o1a2Kx/E3/IMh/6/Lf/ANGrW2H/AIsfVCexsUUUViMrvdol2sBVst/EBwDgnH5A1xfiHS4NT0+/ij1bWreWdMjNwxjTfnaNufun07Cu1ksreacTSRK0gXaGPXHWof7GsCMG1jIwRyPXrUPm6HRB0PtJnnvgbwQ+haUtvf6xqIkunEkUdlM8cYHT8T3PoKp+JPAM+seKdPu7LXbvZAyq63bvJJEQ/JU+/wCFeqpZwR+TsiUeSCI+Pu564pkmnWsjbmhXduL7hwdxGM/oKb5hXo32ZBcS2epRT6bOzZlVo3UZBxyPvDoeDXIWWi+H9MW5svEFnD9o0+MzJcuW/fw9BIOfvfwsB3+orbj8RaPbGNniMchZ1yMMV2uUyTnuc/nWbqXiXRdXe2l/sxr42xM6NKu3ymUjn19z9O9dUMHiH9kxnKF/dL/hDQVsjcao1sbSS9A8u13EiCIfdBGfvnqfy7V09QWdyLyyguQjIJo1cK3UZGcVPWDTTsxBRRRSAKxvEn/HvYf9hC3/APQxWzWN4k/497D/ALCFv/6GK2w/8WInsbNFFFYjKsl/HFO8bK/yLuZscdM4/KuB13wX4c1HTrqPGo280uP3huZJAjH5h8hbBBANegSWNvLP5zwq0hXbuPp1xUX9j2G0L9ljwFKj6E5qHzHRB0PtJnCeHfhtoGm6db2t1NfXVxN+83pPJCpB9FVsYGOvvUfhHwJpfhnxbLqltf3U5fKQwPHgxhzg7274/DqK9GS0gjMRSJFMKlY8D7oPUD8qjk020kbc0C7txbcODk9Tmm+boJOjfVMr3RsdatrjTbpdyTK0ckZBGR9fXvXIW9h4f0OC4sde0qze7s1BhkEALXkZOEKju+cKR689DWnF4ngt4opDprGX5y/lg/IQWXoeTwoz6ZFVrnxMuo3ENy2jxg2cYnje6XLozMq/LjpwzfXHtXZHA4h7oxnKF/dNbwn4dj0WC4unt4be8vmEk0cIwkQH3Yx9AeT3JJroaytI1WTUbvUI28sxW8vlxsoILcc5B9+M961awnBwlyyJTuFFFFQMKKKKACisff4j/wCffSf+/wDJ/wDEUb/Ef/PvpP8A3/k/+Irb2D7r70K5mNrevfabxRprLHlkgPlk4IDY+ueDnpUcXiHxBBZIs2jyT3GC2/aVVgN3bseFGPetff4j/wCffSf+/wDJ/wDEUb/Ef/PvpP8A3/k/+Irs5oWtyR+8km0m7u7me9W7jZVSUeTmMp8pUH8cHIzWlWPv8R/8++k/9/5P/iK5/wASar4vsbi0W1tICrnk2qtKGPo2QMf55rhxFoLn09FqdOFw8sRUVOLSb76I7iishJNfKKWt9NBIGR5z8f8AjtO369/zw03/AL/P/wDE1jzeQ/YP+Zfehlj/AMjXq3/XC3/9qVsVwOhXfimXxVqLTWMSh1Cu0yskahSdu1gOeprqN+vf88NN/wC/z/8AxNVKvGq+ZJ7JfckjWtgZ0ZcspR76Pua1FZO/Xv8Anhpv/f5//iaPM17/AJ4ab/3+f/4mp5vIy9g/5l96NaiuA1vxJ4ktPEVna26WhjchdsJ3o5z8wYkZGMj6V0UWoazNcPDHBp29M7gZXGMH/d79qhVU3azN6mX1KcYyclqr7/mWtRittRljtjdvDPA3m5TGfulTyQR0b6jg1hDwvpL2kUg1KXyGRmjK7NrAgAn7voBkd+pzV42GtfbjdCOwD8kDznwCQAT93uFH5VEujaqILSJ4bBxa7vLJmfnIwQfl9Diu+nilTSUZNfL1/r7zmeHb6r70WNE0aw0nUGFrdu8pi8sxnABwRk4AAz0HsOK365e00PUrOaGaKCyMsQ2q7XMhOMHg/Lz1rS369/zw03/v8/8A8TWNesqkua7fqhrDtdV96Naisnfr3/PDTf8Av8//AMTRv17/AJ4ab/3+f/4msebyH7B/zL70a1Y/hb/kC/8Abzcf+jnptzN4hjtpXjttOZ1QlVWVySccY+Wuf8F3HiZrK4ils4UjSVmU3IaM5YlmAAHIyf1qvbpRdOzu2vwv/maxwM5QdRSjZefc7qisnfr3/PDTf+/z/wDxNG/Xv+eGm/8Af5//AImp5vIy9g/5l96NaisK7vdctvK8yPTFEr+XnzXyCRx/DXKafqHie58Yi2mtyyxI37uYkIqHOCxA5z9KiVWztZnTRy+VSMpc8Ukr7no4YEkAgkdRWBPqcM9vezXNlayNaxl4g5ByPmBU5HB+XkDPUUtla69ZCRQmnOrN8mZXyq44XO3nFWd2u8/6PpnP/TV//ia2pVlHWUWc88Pr7slb1RW1C9sbS5MclhC8fkpM7+WCNmSPTnGBx6Va0nVFu55rcW/kFAGACkBv73YdD6etJv17/nhpn/f5/wD4mjfr3/PDTf8Av8//AMTVuvBxtyu/zJ+rv+ZfejWorJ369/zw03/v8/8A8TRv17/nhpv/AH+f/wCJrHm8h+wf8y+9GtRWTv17/nhpv/f5/wD4mjfr3/PDTf8Av8//AMTRzeQewf8AMvvRrVieGf8AVan/ANhG4/8AQqfLL4gSF2S205mCkhRM+Sf++a5vwbc+Jm+3rNZQorTNKTcho/nY5bGAciqVeMYuDTu/0NY4Gc4SqKUbR8+53lFZO/Xv+eGm/wDf5/8A4mjzNe/54ab/AN/ZP/ianm8jL2D/AJl96NaiuD8TeJfEVlpMNxDBb2+9yHMZLumOoII4+takF14ouNNtJ/Ist0ypuUOwZckHceOOOo561HtU3azOl5dUjBTlKKu7b9jXvbi6i1CFYlYw8FgEyG5O7J7YGCPXNQSXuoJEzRQmVlu9hGzb+69ffHt1xT9+vf8APDTf+/0n/wATSb9e/wCeGm/9/n/+JroVeKt7py/V3/MvvRXjvtY+0wh7XdEkmyZtuCyj5dwHoT830Fb1ZO/Xv+eGm/8Af5//AImjfr3/ADw03/v8/wD8TU1KqntGwLDv+ZfejWorJ369/wA8NN/7/P8A/E0b9e/54ab/AN/n/wDiajm8h+wf8y+9GtWP4m/5BkP/AF+W/wD6NWnb9e/54ab/AN/n/wDia57xnceJU02BYbOB185XLW26RgVIZeCPUVUK6pSU2nZGlLBSrTVOMo3fmdvRWHZT+IpbKCSa109JGQFleVwQfcBeKm369/zw03/v8/8A8TUKfkQ8O07cy+9GtRWTv17/AJ4ab/3+f/4mq9zf67bypG9vpqCRWKytM+0EDOCNuegzQ5pBHDSk7Jr70b1VtQums7RpUVWbIUbzhQScZJ7AZ5rhvDuveKda1W9hZYfKVDksNixk/d2kAk8dK6S0j8QxJL50enO0jljumfHQDgbenGfxop1U2nZ2N6+AlQk4ynG/qSQT2kstowsrUPcRSSk4G5WwMjp3B61QTV7N7ZG/siHEkRKJsGSFJyMY4+bbgd92a09+vf8APDTP+/r/APxNG/Xv+eGmf9/n/wDia6ViYLeL+9+ZzfV3/MvvRd0+6F7YxThNhdeU/unuPzqzWTv17/nhpv8A3+f/AOJo369/zw03/v8AP/8AE1g5pvRD9g/5l96Naisnfr3/ADw03/v8/wD8TRv17/nhpv8A3+f/AOJpc3kHsH/MvvRrVjeJP+Pew/7CFv8A+hin79e/54ab/wB/n/8Aia5rxlc+J0WxWGyhdRMJM2waX51IK5yBgVUK6pSU2noaUcFKtNU4yjd92d3RWPDL4heGNnttOVyoLKZnyD6fdp2/Xv8Anhpv/f5//iann8jN4dr7S+9GtRWTv17/AJ4ab/3+f/4ms3Vb/wAQIk9vDDZ+eIfNQQSMXODjABX6UnUSWxdPCSnLlUl96OnqnqN+bSx8+HYw3Bd55VeepxXG+FZvEOrWd9JcxRMzShd9wzIyuuegAOMHHpXQ2Fvr1jYxW5j02QoOXMrjcc5Jxt96KdXVNx0Na+C9jJw502vPyLEWrvJcQxFYlaS0M+3cdwcYyuPTn9Kpp4kupLSKQWLebJEJAhzkHpjHruxx6Grm/Xv+eGmf9/X/APialt31gzp9phsFhz8xjkctj2BWuhVqf8hyug1rzL70WrK4N3ZQzlCjOoLIeqnuPwPFT0VVv7s2UCzFVMYdRIWbG1ScZ/lWUmtzOMXJqK3LVJWDFd6ncSQMEYMkgWVAMLyee3IA/p1rRs7GS2vJZHk3x7QkWSSwXJOD9CePapjK5tOh7Ne9JXL1FFFUYBRRRQAUUVzmoy6/Br0ktlCZ7ERKBGSoGe5HfPtWlKn7RtXS9RN2Ojorz1tV8Xa7MX0tY4IbeTYHQApJIB8ytnqoOVyvfvxXTeEdSn1PRfMuw4uY5XilVyNysp5BHb6emPWrqUHCPM5J+jC5uUVHNPFbQvNPIkcSDLO7ABR6kmm2t3b3tus9pNHPC/3ZI2DKfxFYDJqKrQajZ3NzLbQXUEk8P+sjSQFk+o7VZoAKq6lbNd2TxxhfM4ZNzEAMDkZxVqik1dWKjJxakuhyt7p7/wDCY6S88ikyedJiNcYKqnGe9dMLeJbhpwgErKFZ+5A6D9ayNS/5G3RP+udz/wCgpW3W9WKUKfp/7dIHUlJu7/rQKKKSsSTDTxfp32u8t5zJAbVyhZxw+M5Ix24NZ1z8RtMgvmjWGeW1Tcklyq8LIP4MHn0GegJA71e8TaS0mkXJ0nS7Se/lYYMiqMEnl8nqRknHrWBDELQx6H/whqPJLavkvdxFpI8gOWb1JbP411c2G35X95Op3Fjdpf2MF3ECI541kUHqARmp6w/CMOp2uii01W3ELW7mKD94rs0Ixs3EcZA498Z71g/FLWPEOlaHFN4bONsoW6kRQzxg424B4wSf5VzStd22KO6orhrW6+Ir6DHM9poYuDBu2SNKJd2O4A27vbOM1i+BdY+Iuq2N1JNFYOiylVk1ENGcgkMqhByAR3pAep0VXsDdmxh/tEQC72/vRASUz/s55x9asUAJWJa/8jtqH/XnB/6E9blYdr/yO2of9ecH/oT1vR+Gfp+qE+huUUUVgMKq32pWmmRo97OsKu2xS2eTVqqGraNa61DHFeBykb7xtOOcEf1q6fJzLn28gY+51fT7OB5ri9t440UsxMg6DrTLDXNO1RkWxukmLxecu0H5kzjI/HiuA1C18OyeIbmyvbya1sbMnzPMLBpZDzhTjhF69eT9Kt6Jf6JofiSAaPfNdWOoqIdigt5MnUMMLja3fsDz3raUaCi+VtsWp6HRSMdqk88DPFebaH8YE1TxJe6fPpF1HBDu8toY2lk+U4+dAMj+nSuYZ6VRXmmofGGOz8X2+lR6PdtbOVV3eNkmy3dYyMkD9a7TS/Elrq10beC2v43Clt09pJEuB7sAM80Aa9FFFAHP+J9OtYfDOpSJAm/y3fc3zEE9SCema31+6PpWT4s/5FXUv+uDVrL90fStmrUY+r/JA5OT1YtFFFYgFY1n4s0m8ikkS52LGxU+YCvTGf5j862a5DxNottp2kr/AGTpEs1y8wVXhDOYN3WQjPOAOB0zitqXsbP2l/KwnfoWX+IOhrqDWaTSyybNytHGSr9yAe5A5NdFDMlxBHNEcxyKHU+oIyK86a28OvbzaPbaTrUd8kCOzi3cyLydspGcEkg89+RXaeG726vtDgkvrKSyuEHlvE6bOnGQOwPUDtTqujZezvfzBX6mrRXn3xL8b6z4Uu9Ni0eySdJ2IkdkL5bIxGMdCc1LrHjDxdYaDcXo8HiIpHu3m+WUp7lAMnHpWAzvKK858I+OPF2uaFHd/wDCLR3YLFROt4tuHx3CsCfx6V6FbvJJbxPNF5UrIC8e7dsOORnvj1oAkpjwxyOjSRozIcqWXJX6elPooBO2xi6X/wAjNrn1g/8ARdbVYul/8jNrn1g/9F1tVviPjXpH/wBJQkFFFFYDIrqdbW1lncErEhcgdcAZrFtvGelz6f8AapXe3ABLJIvzLjPp/umt10WRGR1DKwwVI4IrkfFOgS3EllBpuiW89nkm72OkTso5EYJ7MTz7DHet6bo8rVRO/kJ36Dbb4kWU+oC2axvI1lkVbeRlAWZCB83OMfeBx1wQa7KvPtQW51xbuxtvCqQXtlLHIsy3MX7qUKGQ+4xgEenFdxp0l3Np1u+oQJBdsgMsaPuVW7gHuKmo6bS5FbuCv1LNFeXa/wCIfGo+Itra6GkL6ZMdsG9cwy4Hzl2xkEEHOPSpPHGrfEPStBNzFHpiIrjzJbDfJIi+pDjGPeshnptFcZolz49uLCylvbfQ0DqhlEjyiXHfIA2hsduldnQAUmO9LRQBj+HP9Rf/APYQuP8A0M1sVj+HP9Rf/wDYQuP/AEM1sVtiP4shLYKKKKxGFIVDDDAEe9LRQAUUUUAFFFFABSdKWigCpHqUEsPmrv2lgvKHv0P0561n3mu6Vd2LQSX7W4ud0IdTtYHJU4PYgg81amsrG0s2EiyLEGBwsj5JzwBg59MCshvDPh68khVlkk81XnjUyNjaWDEj0+Yg1VOEmryN/wBxfr+BgX9xbaFBpkGm+I9Sa1DhZkhWOQxQBDzgJkc7eT6mrmja3oWnaldXa6hq91cXKL5omtmwQvRsKgGccZ9BV2LQPDEdsRBI8cTRlcRysuQ2SeB6hTn6VsWmiaU0TT28W5bhQTIHbJGBjvx0/nVVafLe1/mrCTotK9/wOT8Za7o3inRLjRBPfwy3ERmiKWkuWKEcbccjPWpfBXw7g0rwxax3V5qPnygTOsdzJCqFgDt2q3au4jtYYipSNQyrtVscgdcZ9KkrMydr6HlXhb4aWlp431uR9TvHW2YKqRyNG5Eih8s4OT3HvjNel6dp0WmW3kQyTuu4tmeZpG/NiTXI/DvWF1e61eeW3uftryg3Fw23ynwSqKgHQBR35PWu5oEFFIwJUgHBI4PpXIPoviE2cdpHPGieWyzyG4ZjM2Pvcrlc8HAPHvW1KlGpvJL1E2aupf8AI26H/wBc7n/0FK268+utJ11Nf09ZL1ftFwk5DB+QAijBO36cgDpmtzQ9I1ezvrSS9nDxxW7pJ+/Zt7FsjjGOB3rqr4eCpxfOtF+sv+GJT12N69gN1Zywq+wuuN3pVCfSJXsFhikjR0WQIVBAXcCAB6Yz+la1Zus2l3dwxrZyBSG+bLlMZHDZHp1x3rgjTjOSUtDeNWUFZHMTaD4pfy2jubdGWJVZTIWDNtUMSSOSSv5VHc+D9a1K5Se/ut08ZVEmS4ZSqfMXwFxwcr154ro7qy1G5bU1UpEtxAqwsZi2xxnJ244HI6elQz6VrEysq33l5AO4OeD1bjHqBj2JFdfLTas+Vff5eY/rNW+/4Iy9N8F3otiL/ULjzSwBIupTlR1/iGCefwxV+DwPp63c81zPe3KSmNhDLdSGNSgHON3OSAec9K6OMuY1MgAfA3AHIB706uR25mxSqymrMr6hexabp9xe3G7yreNpH2jJwBk4rF8DpKugM80kbGa6mnVY5RII1dywQkcZGecVf8Swy3HhjVIoEaSV7SVVROrEqeBWL8NdJbSfCqJ59pNHNIZUa2jZABwMNuOcgjHtjHakZnW1U1W+Om6XcXgiMphQtsBxmrdIRkYPSnFpNNq6A5e58bwWriLy1nlQqZWhcGPaf7rEjnp1rFHjIW+t6heizkaQ2sQVegAErKM574OfzrvxbwgYESAdMbRWLbxI/jXUAyKR9ih4I/2nr0aNWhaX7vp380Q0yzomtDV2ul2IjW7quFk3ZDIrAngY64x7Vq01Y0Qkqqgt1IHWnVwVHFyvFWRSKDNeDVejfZsdgMYx19c7v0rCvta1bT32m3mmK23mjEX3nEhBBI6DaQa6ysFL/U/sV28kUnnKwMai3J78gevGOfc+lFKlzO7/AD7m6rWVuVHPy+I9dudNuLeTSpEkZBEXZCfvKRkADrxn8apaRe+LLQW+mW7QtBC4tYnezYHYuAGIzwMe/auxub/VIr26ENo0kEYR4yV5cEfMo9wTnn+lT6Tc380s6X8JVQQYn2bcjoe57jP0IrolTgo81uncXt7/AGV9xg3EXjWeynEVxp6TBgEBhI3Ddyc7uDjmtbQNBl0u81C9vJree7vpFZ3hg8sAKoAHUk9M1t0VxpWInLmd0rHJ695TfEDwwsUMUlwPtDSsEy8cflnBJ7Ddxz3rrK861d9VT4vWv9nrfG0MMAuzbKpTbl8eZnoP89a9FpkhVCfWrO2uZoZXdfIUNNJsOyPPQFvWr9Z15oNhfzSS3ETlpVCvtldA2OmQCASPWtKXs7/vL28gZh+JvEumz+H9Rt45wZNjxn0GBnP0OODWlceLNLsztmlkC7UYOIztZWBIIPQjAP5Vn+J/DelQ+G9RljtAHEJKkux28dsnitptDsJoGjkg3K5RnBdvnKjAzzyMduldreG9nHSVrvt5Ea3NAHIyOhqvfRSTWxSIkEsNwDbSVzyAe1WOlLXnNXNIvlaZg6ja6sNLzbSs11HaMnyv96T5SDj8G/Osd5/Fv25ngtCINyBUkfnBIJJx9D+BxXSaoL/7RamyDlATv2lQOoxnPUY3dO+Kgl/tVo73yI3DiZGg81lwV43Dg9OvWuilTikm7O/d+f8AXyNfrMtrL7u5yVzo3ia61VtQgkuLW9lIt3dNioY1BKkjn+In65rSsNG8Uy2cZu9YuIpyW3jdGcYPGMJ3rVkXXvNzGFKpICNzqPMTrgjBwecf8B9636mtCKStbXsxrEye8V9xy1p4Puftss2o61e3UQvVuoYvkA+ULt3YXJOR27AVvarewadplxc3TlYY05IUknPAAA5JJIAHvVuua+Ias3gbUgvXCcltoH7xeSew9+3WsTAs+C7a7s/BulW+oRmK6jt1WRGHKn0Nblc94GsLvTPCdpbX0YjmXcdon84YJJHzfQ9q6GgCpqWoJptp57ozkusaouMszHAGTwOTWbc+LrG0vEtpllEuQJQFJ8rIPccEZGOOlbFxbQ3cDwXMSSxOMMjjIP4VT/4R/SQ27+zbTduVs+Uucr0P4V0UpUEv3id/ITuc3pnii2/tPWrtIZZG/wBHLRIORlduMngnJHHXmuo07Uf7Qa5AgeL7PKYiWIIYgAnGD2zWVpdhaDxNrP8Ao0P7trcp8g+XCZGPxrfihjgTZEiouS2FGBknJP51ri5Ur2jHWy/JCjcfVHVNPOoQLGHVdpz8wz2xn6ir1FcLV1Y0hNwkpR3MHWdIvrnE1lMgmEsLlSzLuCFtwyPUNWLb6D4pilLfboVDM2QG+6NpC44+n5V0s9reHWUuIiPICDIMhHrlduMc5Bz/ALNVobDUvsyK8ixuly7f64uTGTwNxHBwf0rqpwhGPR+vn8y/rNVafojmJfBWsTTy3hnZLuVWZ2S7cb3zhM4wOF9K2bPwa6R2/wBqv7lmUKZQlzN8zfxc7ulXbbTdWju4ZZbyNljYhl3MQ69B9DtCn6k1u1nWjDZW+Vx/Waj3/JHP6F4PsdEEEm+4ubmBpCks07tjeTnCk4HBxnFRePrtYvC1xZqwW41AG1gLMEUOwJyzHgAAE59q6WuK+KWnyaj4etIlZI4xeIZJZVLRxjawDMBzjJHPbrWRidha4+yw7XVxsGGU5B46g1LVPSLR7DR7O1kaJnghSMmJdqHAxwOwq5QBm6xqh0wWoVY83Evl75X2onBPJ98YHuaw5fH0Bc/Z7Z3Uq6qSRzIMe/K89RXWMiuMOoYehGaaIYhjEacZ/hFdNKpRivfhd+ommcZofiVzbz/Y7Qu0uoz5WVthxksSPYd846iup0bURqulw3e0KXzuUdAQcHB7/WqfhxFMOoEquTf3GTjr85rZVVRQqgKo6ADgVeLnTcmoxs79xRTFooorjKCiiigAooooAKKKKACiiigCG5tku4THJkDIYFTggg5BFQxabDC8DI0mIEKIpbIwcZ/kKuUVSnJKyYGWnhzT44Y4liYRorIF3HGCckfnn8zV61torOBYYF2xrnavoM9B7VNRTlUnPSTuKyQUUUjLuUqcgEY4ODUDOO8D6NYaJqWr2axQjUoZAJZ1kYtNG/zqxUn5fvEHHGRXZVw/g3QrjTPEusiOYQ2sM3lmBv3zy7lDK5lYbhwR8vI61vJos62d3Asyqk0hkRRn5SSD1H0PFXCMZbuwmbOaWsiDS5TfreXCxu5YtgsT5ZzgFf8AgIFS6Pp0unLcCaUSGaUycZ4z1qpQik7SC5W1L/kbdE/653P/AKClbdcvrepw23jTQ0LfLGJVnfadsXmKBHk9BuZcDNdRWleLUKbfb/25gt2FFFFcwwooooAKKKKAKupy3UOm3ElisDXKIWQTsVTPuRyBXJ/D7U7mfQbwzJM2JZJkmKAW7FmJIibgsu7PUfjXbVh+EABoAAGALm5wMf8ATZ6aAlt9ZeS0spp41i80kS7sgLgE8flTbfV7mRJ5JEhURxGRY+d54yD9MHH1rYIBBBAIPY0AAdBWvtIa+6KzKek3kt/psVxPGI5GzuUdBgkf0rPtXX/hOtQjz85sYWx7b3Fbtea+HtUF74te4Mr/ANo/2nNaT/McNbhGZBjoACvGPf1rpw1L2sasoqyS/W/6WE3ax6VRRRXAUFFFFABRRRQAUUUUAcR4i1i2sPHekuImgkj3R3NzP+5heJxwvmHhiGwQv16V1cmpwRX0drJlWkQyK5xtIGO+fcVh+IbG2ufF/h5riIShjOpR/mQ4TcDtPGQe/Wuheyt5Z0lkiVnQYXdyF+g/AflVR5b+8BUbW4AqlYp2LO8YULzlW29z3PSpP7VhGpw2DJIs8sfmAEDAHoeevFOGlWm6Q+VnzOTknru3ZHoc81ILG3W4ScRDzUXaGPXH+SfzrVul0T6/8AWpQ8Wf8irqX/XBq1l+6PpXM+Or1Y9LttNaTyv7WuVs/N2btm7vjI9MfjWr4fv5dS0aG4uFRZssj7M7SysVJGexxmrlSksNGfS7/T/JivqaVFFFcpQUUUUAFFFFABWdr93NZaNcTW9ib5wuDAJFTKnqSW4wBWjUF7FHPYzxTIskbxsrIwyGBHIIoA5XwPrIbwRGsRFzPYJ5boI3jHHRQSDuIHdcg4reGuQNFbSgfupkZ2bd9zCb8e/HpVTwYiP4I0lCqlPsqDGOOlbMlvFKgR41Kr0GOlaRcEveQjKGvyDT7q7e0wsGF2+aNzPkAjGOOT+PpWnZXIvLKG4C7RKgfbnOMjpTzbxNvzEh3/eyvX609VCKFUAKOgA6U5yg17sbMNTG0v8A5GbXPrB/6Lrarz/wnrE91r0dy0zO+pS3MVzG23ahhxsK4GR8pxg9etegVtjaUqVRRl2X4aP8UxRd0FFFFchQUUUUAFFFFABXL/EO5u7bwpc/ZjarDIpjuHndlKo3HyYBy2TxniuorE8Zf8idq3Gf9Gft7UAV7TWbqPwpaXZtblJwER0vUCSP0BbCn8f6VeudVkjuXhjjG5o1MYYEMWLFcEenetC3/wCPaL/cH8qkKg4yAcHIz2rWM4pWcRGBNr11Fo6XiwwvJJKFEQ3ZQEE4b3GP8995G3oreozS1U1iaS30a9mhbbJHA7Kw7EKcGm3Go1GKtqGxS8NkGDUMdtQuM/8AfZrZrgPhzqK3NwUtmbyJ7CK6lVnZv9ILukjZbnnaM139a46k6VeUWKLugooorkKCiiigAooooAKKKKACiiigAooooAKKKKACo5riK3UNNKkangF2AH61W1OK5liQWpIOecPtx6HPt6Vx3jHTJ9T13So7sFYGad8mVQFAQHPzAgYwcn3qXKz2NoUlJX5kjZ0bUrI+JvECC7g3GaBgPMHIMKj+hreuryCyjV7mQRozBAx6ZNeHNBHrxksUu9Nis4mJE8sccD3LrwBGerZ4PHt9K9NTTbnWPDWnAszxPZwyFS+Dv2AdT7HP1FOMldcydhuir2U0bcmu6ZHbNcG9haJepRt36DmprbUba7ubiCFyZbcgSKVIxkZHXrXNnwiHxsjaFmgEMziY7pBnLc+5A564robLSrexubi4h8wy3GPMZ3LZx0rdug4vlvfzt5f8H8DKcHB7pnn3irUZIfGmq2IGY7i1tXJyflKzDoPfdXp1eYeK47T/AITHVpp5lS5W2s44EL437pvmwO/3RXpizRvI0ayIZE+8oPI+orux6XsaVl01+6JlHdj6KijuIZSojljcsu9QrA5X1+lILu3ZwgniLk7QocZJ9K8zlfYsmorK8Q62NC08TiAzSO2xFzgZwTyfwrIufHKwXEJWyZrZg5dg+XXbn+EfToa3p4SrVjzRWn+Qm0jrKqXN+tvdRQlR8+MktjGfT16c1z1547hiAFtau2Tne/3duTk8ZJ6fqK09D1I64ty93YpDJbTGJc/NwQD1x74OKKmErQhzyVkVCUL+9qc7rfibWH1p7fSmRIYbZZnVRGztlmH8R9F6VzGneLNR0e9jtdMupLm1F00t4Lq2WNVMknIVgSepJxW947sdWi1qNtIs2FtfW4t57q3h3yQ4ZixAHTIbr1rnLbT53drfw9LfzaRuWFrV7NgWnVgGZnIwCCM9eMYrkSl3N3Oj0j+J33iK6nkuI/ss0ls8BdHwcbslcY/AH86rwwao94ltd6gLiSG4RkPKrtCnIbHUknH0Fda8EUhy8SMcg8qDyOhoSCKMAJGigdMCt4V6sFy3VvRfmQ3Sa+F39SjoOnzaXpi29w6NJvZjsZioyc4GeQBnpXnHhKzlj8VzXjACGbW5Y055JWOQnj05Fes15zpdjqsXj8abI0jWtjJLfJuddhSTeFwAM53Me/r7V6eCrOUK92rtXf47fOxzSWqPRqK5J7zxILFYora4e5kSTzZJEQCNtpxsII4zjGQc56iiK+8UkyF7MASZ2naCRhBjA3fLk5POeePeuT6m/wCaP3lcx1tFct4fl8SPfxDVVcQbDvLKgB44PHO7OePSuprCtS9lLlun6DTuFFVW1OyV5ka5iDQDMg3fd4J/kDS2+oWl1brPBcRvE3Rt1RySSvYdywSFUliABySe1Z2pa7Z6bpEuoPIskSIzKFYZcjsPeln1bTZUMD3aASubcY7t0IB/GsrxXpQHhPUSJpWdLWXoB8wIBIxj/ZFTOM49DSmqb+JnO3ni6XUdY0y/jtLWOPTTK86S3sYcho8Dbn8/eun8M+L7bxRpct1DDLavE5jaObGQ2MjB78c15lqTS+LY5NYhsvtNhp/lrFA7qk143yq3I+6ABn8PXOO18E26ajBqKywtbDfbsIA4Y258ofIDjsCR9DUpy7FuNG+jZdg8Q62I136bFMfkUlXwctjk9gOc/QGrdlqGqSX1osqO0DT3CSMIMDYP9W2ew7e9XY9ChijeJZHEbnJAAzx05x71etrZLWLy4hhNxIHYZ7Cun6wne9NIznCmvgk2cJ8W932HQ9md39opjHXODXTeEP8AkXY/+u03/o1qxviQ/wBmh0W+eJXhtL9ZX3sVVcK20kgEjnFTeGdZ+yaFp8csGZbhZ7l9rgLHH5hJbJxn7wxjqOa9GcZTy+nGK6v9TBfGzrqK5r/hOtLYjZ5jK23Y+OGyTnn2wT+FLL41tRClxbW8lxbPG8gkVgMbSAeDz1K8+9cH1OvtysvmR0lFVdNvU1LTbe8jUqs8YcKTyMjpVbWdetdEWE3O8tM2FCjsCAST2AyKyVKcp+zS1C6tc06K50eNLH+0ltmjlSNow4mYYU56DHuOac/jLTjJEluWlaSUR5PygcZySe3IrT6pX/lYuZGw17Alz9nZ8Sbd2MHAHXr+B/KuQ1fxrdRald21nBD9jhWPfPJHI2N6k5O0cDAroNMaHWVa/ktpIH3NEVMmQ20lcjHB7jNee+LnutI8S3Wm2ebVNRWHZe3DkxxoikN+IyB+grmnGpCTi+h0w9hb3rk/hnxvNpculaDD9m1W1jCQS3dtvUx7mwpO4AV1ut3+oC9Q6VdQqrxhQsnOX3EcA+4A9q8/02Cytb+1sdMnjurcX0LRSxqpeb51yxKnJAAPUYGK9WfR7VpGkUOjs5csrnknH/xIOPaqp1JU5c1k/USVF6O5hfaNduj5fnRLcq0yBInCggIQrEHn72D7VuaJFeQ6VEmoMxnBbO9tzAZOAT3OMVPFYQQuHUEvuL7ixOSRgmrNayruceVxS9DKSin7tzyP4ewyR+I4pHQhJb682Mf4sIoNeuV5j4b+32+urFNA5i0WO6llXyCh3SEkANn5iQPSuhfxwsEUavBFLO0ayHyJcooLDgsQMHBr1czpVMRXTgr6fq7fhZmUGkjraK5SHxsty80UdoyOqNIjy5CBQgYbjjPcjjPb1q7oniCfUtRls7q0FtLFCjsuSeSFJ5x0+YD1615ssJWgm5LbUvmRvUUVga94qj0S/gtjbPLvG52BA2r82MevK89h3rKlSnVlywV2DdjforkofHSLc3aXloY4oX2o6Pu3dfw7cfWkuvHaxSusVlIQivkN1LBioHH0yT2FdH1DEXtyi50bT62iS3CGM/uSR94ZJBA/AfN+hrgdZ1vV9YttWguJ2i0tpZrZjbxxuURcAnk55z1969E02WLUdPivDFHunQF/k69u/OOteYa9YXlrrV9batBcWvhxLh72Wa0gLecpxtUsOmMH6fXGOKUJxbi2dUalCyvH8TS8KeNtUv8AxFDa7xd6XMjpC8kIikLIhbgDIPTH/wBetm4kvdR1lpdO1JreCYr0PHyryf0YfWuf8GaZrEOu6Wt3Jc3NpbNI0TNaGFIIzEygZIGckjjn1r0x7S3kILQRkrwCVHHOaunUnTd4/kSpUmrOP4nM6FaXUuuRX1xeSSv9nYSq3CtluAo9B71u69/yL+o/9e0n/oJq6saL91VHbgVW1S2a90m8to8b5oXjXPTJUitVVlOpGU+ljKfLd8qsjz74WWslncRJMAGfSo5AB6NNKR+hr0yvOfC9rrXl6rfhbgXEMUdhGsro7/u2O/bgAcAnAPetqe/8R7wLWznMUZUq80ab5ODkMA2PTkYx6GvRzCk6+JlPmX3+X/BMoaI6yiuUil8TS2s1vIjQygARShVJJL9SSSMAE5GM8DnmtbRX1V5r4atEqKJv9HKspBTA9Oevr61588O4JvmTt5l3NWiiiucYUUUUAFFFFABRRRQAVU1P7YdOm/s7b9px8mcevPXjOM9at0U4vlaYHHPYeKTY28CzskkTplxKuCu3nPcndnP6VZCeKZU2zrEAVdSI5FXJ2/K24DI+bt6V1FFdTxjf2I/cTymDo1hqtnqkv225kntlhVVd5N29sDnHY/eye+RUfjLwini6whg+2SWksLllkVdwIIwQRkZBHvXRVkarYaxdXKvpuspZQhMGNrRZctk85JHtx7Vm5e2neTUfvt+CY9jkE8GS6rqEtjN/ZiRaN5cdpKtm2QWUOTjzOoJHXOa73TrT+z9MtbMOXFvCkW8jG7aAM4/CvONE8O+PIfEOqTS6otukwJM7qsizMOEwn8PGPoOOaXwPpvjSdb9rrWzbRiZk/fRi4LOpIbGTwP513VMupxjKUa0bJLv1+X9dbEqb7Hp9Fc3/AGP4m/6GiL/wXJ/8VUBtdcF19mPjG0FwMfujYx7uenG7Nciw0HtUX3S/+RHfyKniTw5Ff+O9FmMkojuN7XEYI2t5QBT9TWrc+F5JpJjDqDQJLci5OyPD57qWBGR6f1rgvEdv4nbxhpL2/iGC4XpDcoUiSI8Fgyg4OQV+oxXa29hr92jNb+LraZVYqTHYRsAR1HDda9KvCdOlSfto7dn3f91+S1tsQndvQii8B+T9zVJ1wRgKCo2hs44bPPsetTWHgz7BeQyreiSOO4NwY3gGScYHzZyMZPt7Vu6bBeW1mI9QvBeTgkmURCPI7DaCaffNKllM0DbZFXIO3d09q8+pja+q5rr03/A0jBSaROQD1pu+NWCblDMTgevrWG8eoX6z/I4jlAaMsxRo849+o54x1Faa2AF8t3u2nad8Y5BbGM5+nHvxXCpN9DolSjD4pFvaPQflQAB0GKWiqMDB1TxXDpbXKvpuqS/Z1JLx2rFGwM8N0x71xHhn4mR2/hrUZTo9wZLeV5swgtGxkct87Y+Xk4z7V6oRkYPSqE2nWdrpV3Fb2lvFFJG5dEjCqxx3A616FCvhowcJ07ttde25DTvdM5rw58R01vSxcy6PqIcOVYW0DTJ+DAD8q1f+Evh/6BOtf+ALVJoKfZPBVmbOFFdbJXVEXAZtmeg9TWeuq+JLeKMXFiJZJYvNXyk+5gfcbnG4kr+Ga0nTo1KkvZwsk9nINUtS5/wl8P8A0Cda/wDAFq4+z+IkTfEe6j/sm7KSxC2AEZMwKbm+515JPHbrXQHX9eEFx5li8c0VsCAISytIGw3A9e2Dx3q9YwQN45vrkQRiU2UDb9gDcl8+/QD8q1pxo0Yz56d7p7S80J3dtR3/AAl8P/QJ1r/wBatu2nFzbRzBJEDqG2yLtYexHY1IGB6EHFGa8upKm17kbfO5dmRT3KW5iDhv3j7AQuQD7+lZv9uCV7UwtEokl2NG4IbHPIP4e9aVzbR3kPlS5KEgkK2M4Oeo96dFbxQZ8qNV3HJwOtYNO5vCVOMdVdnLWfgyFdQu3naYBgyhwVw4fdnjHB5HPXjrVj/hBdN2FfMudpUgrvGMkEZxjg4J6V0tFdSxddfbZlO0nexzqeCdNjmilD3BMU3nKC/Rs59Oue/Wtq8vrTT4RLfXMFtETt3zSBFJ9MmrFQXVnbX0QivLeG4jB3BJUDjPrg1Mq0qsl7Vtom1tjzrWdQ8EP4y0SJf7NKwvI0zxxoYTvQhQ7AYPP5Vv6f418IWmpyaXY3VnbYJYvGqxwse/zj5SanuPh74cudZi1J9OjWWPH7pAFiYjoSnQ1nx+CtCh8fmVdPiIe0abymXMYfcFyF6dDXopZfONlzXUfLcj30dD/wAJToP/AEG9M/8AAuP/ABo/4SnQf+g3pn/gXH/jT/8AhHNG/wCgRp//AIDJ/hWXrMGiaRJax/8ACP2tzJcsVRIrWPOQM+lckIYecuWKlf5FalDxv4v8Pr4Yu7f+0ra4e5QxolvIspz15APA9zWp/wAJB4V1K2glm1HSZFC5QTSxgqCOmCcj6VxfjCfwpqGiMo01LeVAzRyQKkZVwOVOOvJ2n3re0KXw1dS2en2uhWuDGF3PCjFSFLYbIyTgcn1r0Z4anDDRkozTTbe3kRzPmN+xfw9fz7dPfS7mWNOkLRuyrn27Zq+NOsxEYxaw7Cu3bsGMZzj6ZptppVhYSGSzsbW3dhtLRQqhI9MgVbrx6lS8vcbt5miRVW4tbZIoYigBysaRjjjqBiqV7eWc1vFcXFoJFR2VTMg/duDjHPTJ70raDFLMWlcbFlMkaogGwHGR+ajkY7+tXoLKGCFolUsjHJDndk9e9YKU732OlqhFLqRDR9PClfsNtgjaR5S9PTpTl0qwXbts7cbSCuIxwR0xVuitfaT7s57DY40hQJGiog6KowBXMax8QdA0y1uxJeGSaEFTCkbbi3TAJGOvvXU1BeWVvqFpLa3kKTQSja6OMgiroypKd6ybXk7fo/0E79Dznw/8S9A0XwPZJtm862UQm2VPmJ9QemO/WujsPiT4cvbKKdr0wM4yY5Im3KfQ4BFP13w3pNp4H1CxgsIUto4ZJVQDo4UkNnrmtzS7O3sdLtre1hSKFIwFRRgDiu+vPAyg5whK7k+q2+5/11JXNtcx/wDhP/Df/QTX/v1J/wDE0f8ACf8Ahv8A6Ca/9+pP/ia6IjjpXKQ6r4jihge6sUfz1LBUT5o9vJDe5HA/WsaVOhUvaL+cl/8AIjbaMTQfiVoU/ibV3lklt4p9hikkQkOEG3oMkZ610f8AwnvhkD/kJIB/1xf/AOJrktBW70/xBrEsGlR2t4UXzSkBIQ43EjrgNxgD+L2r0jTpJ5tOt5LuMR3DxqZEx91sciurMKeGpzTUXay+0uy/usmDbJ0ZZEV1wVIypx2qOa6gt3VZXVXkB2ju2Bk/pU1V7u0F2qKzsmxt2Vxk9sfqa8V36G0OW/vbEEOqx3LwiBQyzA7X3jgjsQPw/Ol0+8e9a4EsJjMTCMqR3wCee4560+DS7S3YNHCu8HIZuT2H8gPyq3SSfVmk5U9VBCYHAx0o2j0H5UtFUYjXYRxs2CQozhRk/hXn3jvx3Fb+Gp4F0rUA12DDm5gMSAEHJyep9q9DqG5tLe9hMN3BFPETkpIgYZ+hrpwtWlSqKdWPMk+9iZJtaHnWo/FxNO0vTJodGuSbmPc3nZjXAwDsbHzfWupj8ZQSRI40nWsMAR/oLU7xZZ2z6VaK9vEwiu7cICgIQeYo49OOK6CumtUwrpxlClZ3f2vuElK+5z//AAl8P/QJ1r/wBaoL7xxBZ2M9ydI1jEUbP81myjgdz2HvW5qgum0u5FicXRjPlc4+btXPzWfidY3tVuUmDx8TELwzfKVwRyFHOcc1NGNCerSXrL/gA7ow/A3j5L6zvjJpV8XN08p+ywmZRvOcEjoRXVweKori4jiGl6uhkYLuezYKMnqT2Fcjo1t4hh02/TTbf7OxvWJWMoqIQxDKo7g4Bz26dK9IVsqDkdPWtsxVCNVuMd+0r22FC7Q6qV5qcVmzo6uXWPzMBTgjIHX6kVcyPWoZ7SK5kR5VLbAQBnjnrkd68h3tob0+VS9/Yow6i97PNDbzw7vKDphTlTkgg569PQVb05rh7QPdoY5WZiUJB2jJwMj2qeOJIUCRqFUdABT6ST3ZU6kWrRVl+IUUUVRkFFFFABRRRQAUUUUAJ0pazte0s6zpEtkJBH5hUliM8BgcfpXPT+ENQkszHda1+5jVQB8yKoCMpJ+b3H5V00qVKcbynZ9rMTbOyorza/1WHS2jx4ja8ed3EMVtOuEOz5dxLcAe/WiNrrXLC4SBbyZ5IoVmkheKQl1LHn950Jbjp90V1f2a7KTlZeluvnYnnPSaxPC3/Hle/wDX/cf+hmnDXLwAZ0LUifX91/8AF0vhmC4g06c3Vu9u8t1NKI3ILBWYkZwSOlc3I4Upc1t11XmO92bFYd/4Ts7+4u7lpJo7q427ZkPzQ4x93t/CK3KbJ/q2+hrGnUnTd4OxT1PNNS0nQIvFekmHXAgk88uy3CbY2Cjb0+7xwPoK7PSvs2mJMFuZLsT7rprjapDDjnK8HjAH0r54lNt5ye0nzcDpgf7Prn1r3T4aRRf8IPYSBQWYSLuPdfMbAr6HOcHOhh4S52+mq9WZUZRcndHQvqtqkfmM52Hdhtpwcdf5/oaltruK8V2hJZUbaTjGTgH+tJ9gtvIihMKmOJtyKex/yTTre1itEKQrtUnJ5J56d/oK+YXNc6pey5fdvcmrE8S6jqOnRWrabb+ezyYddhbjGccetbdFa05qElJq/kYs5I+J9XlmTytJaOHzCreYrliAyjIwOOGPX0p3/CX30dmbm50kQoAvyvNhizMVAGR2IGfTNaXiq4uLfRT9kne3lknhi81ACyhpFU4zxnBrze+ia78aR21//wAJFOxsz5ay20DSkhzkhSNu3HfrmvYwlCjiI8ziklfvfT/hzOTaZ26eJbprq2j3wnN+8EoVCB5Q6Nknt6963b28tjY3AFxD/q2/jHpXO+E9C06fTrlLyztbqSC8mhEsttHuKq2BnAxW3/wjOif9Aiw/8B0/wrkxHsI1OVX07Lf8S1cXw1/yLGl/9esX/oIrTpkcaQxLHEipGgCqqjAAHQAU+uKpLmm5dykZXii9m07wvqV3bP5c0Nuzo+M7SB1xXh//AAnGsR6rJfpq7m4eDy2cwpyFLFVxnHX+de0+Nf8AkS9Y6f8AHq/Xp0r52cfO3y2P3G+63H8Xv19P+A19Tw9QpVKM3OKevZdvMwqtpn0ZY2H2rTPtKskVzdpHMXRANrBQe3XnP51LPo5fyhFOY1RApAz8xHQ5z7t+dT6N/wAgSw/694//AEEVdr5SpCPM0dka9RdSvYWps7KOAtuKDr+NWKKKS0M5Scm2+oVzcXjjTnjlaSOeMxyGMLtyWIzyMduOtdJVMaPpwIIsLXIcuD5K8Mep6dTW1KVJX9om/Ql3MqLxppzqxkju4iuSQ0JJAABycZx1xVhfE1pJMkUUczP5ohkDLsMTEEgNn6fqDXPatqsFn/aQt9J0iFbVnhjmnnSNnYRgnauznggYz2rG0QT6q2nNd3omN+6vLJFPFKyS+VkEoY/l4XHXivTjgacoOpay9b9L9PL5kcz2PRtK1EarZC5WJo1LsoBIO7BIyCOoOODVM/8AI7L/ANg4/wDowVBbeF5bOERWus3sMQOQkaRKPyCVb0/QzZai17Nf3V3MYvJHnbcKuc8YA71xP2UHJxlo72WpWpq0xokd0dkUumdrEcrnrin0VxlHmHxB8YWulS6hoMWkQFpYQWnLKvLfNnbt5/PrWj4Q8WW3iOSVLDR4bG5tlRUaPa42MxyMhQQOCa4r4oyTJ43vBFMkamKPIaTaT8npW18HZJZNX1IzSpKRbrgq+7Hzt/Wvq6+DorK1US96yd7vd2uYwm1UPSjcXhnuY1iXESlkJBw5P3QD+Bz9RUVnf3dxfpHJAY4ijPkqenG3+talFfJcr7nZ7SNmuVBRRRVGJi674gOi3ljEYPMS5Yhm3YKgY5A79f0rMXx9A+JEsZjBnlt67iMP0XPPK/rXWFQSCQCR09qxfE2oT6XaWf2JIBLcXSW+6VCyoCCScDBPSu2g6U7U3C773sS77kMXi+GVIn+w3SrLIkSsdpG9vujgn8+lO0zxMNQu7SBkt1NwJs7JtxDI2OBjkEc5rjhNca34geO4vlK/ultv9Cuo493IJADDaeRkn1ro/Dej2eq6LDd3KTpOWdG8q7mC5VyuR83GcV118NQowvJO+nfS6dt7f0rEptmz4m/5FfVP+vSX/wBBNX7X/j0h/wBxf5VlyeFNNmjaOT7W6MMMrXkxBHoRurYVQihVGABgCvOnKHIoxbere1u3my1e4tYXjLXJvDvhqfULZY2lRkRfMztG5gMnHPGa3a5D4o7v+EGudgBfzodoOMZ8xfWrwUI1MTThJaNr8xSdkzz6x+J2rRatNc5sGa8MfmKI3/hGAB7kGvXWF/HZvJDukkMuVRmGdh46/wDj36V86W63X2iHdHFt4zhU6cZ7V9OJ/q1+gr2OIcNSpOm6ate+3lawsPUavfUy7w6nExW3+dAoO/AJz0Ix+taNv5n2aLzv9ZsG/wCuOalor5xKxvKpzRSsgooopmZzmta3qWm6wEt7F7m0FvvYIhJ3Zbv7YH51THinWVMkkmjNtCFliG4Nn5MZOMdCfyrr65TxZdXo1vTLO0u72CKSC4lkWzVGlkKbMAbhj+I16GGlTqyVNwW27v0V+hLutR0/iu7iYRSWUVvLKshjLybtuxQSWXAJznjHWn6L4iub7Utl15UcH2cPyNuGwvcnuS3HbbXndlAuqXOvXBOsyTQyuRPLawMEKx/8tSQcHKkYX2r0vSdB0i70axnm0qwaSW3jdz9nTklQT2rsxeHoYaFmtX26derJi2xfE1zBJp1uqTRsxvLfgOCf9Ytb1Z0Xh3R4JVli0qySRDuVlgUEH1BxWjXk1JwcVGF9L7+di0FcT8T/ABDf+HtJs5NOuPs7yzMrPsDHhSQOfU4rtq82+NP/ACBdO4Q/v3+/0+4f19PeurKoRqYyEZq6/wCAyZu0Wcz4T8X6o/iSCy/tEzW93d5kjeFMSFydxODx2PFeuLoyxxWscUgRISfMAQfvATnHt8wBrwjwgP8AitdN+WzH+lR/6psn7x+7z+ftivoqu7iKjThWhypK6/rYeHqzinZmPdaHJcTs63JVCxITB4B5IyD681sUUV4CSWxtOrKaSl0CiiimZhRRRQAUUUUAFFFFABRRRQAVm+I/+Ra1P/r0l/8AQTWlVe+tFv7C4tHYqs8bRkjqARj+tXTkozTfRiZ5fqrTx3mjMkGpkRsvkmOzhCDKBTsyMycE8Gut8JgjXdXLLIrtBaFvNiWN87X+8o4B+lWI/DmqRwwxDX2ZYAFj3WURK4GBg468Vc0fRJdNvL27ub97y4u/LDM0aoAEBAwB9a9XEYqnOi4Jq9raX195PsiFF3NeiiivHNApsn+rb6GnUnWgD5elLecn7yD/AFnH7rpwOvy8/rXvHw0/5ELTuQf9ZyBgf6xqvnwZ4dJJOi2OTz/qRWpaWdvYWqW1nDHBBH92ONcKO/SvezTNqeMoqnCLVnfp5/5mUKbi7k9FFFeCahRRRQBjeKbee40XFtA88kc8MpjTG5gsiscZ74BrjZPC+kyasl7/AMIxrwVVKm3DrsY5zuJ8zOfxxXpdFduHx06EOWPn1a39CXFMw/CdvcQ6dcvdW0ls095NMscmNwVmyM4JFblFFc1Wo6k3N9RpWCiiisxlHW9N/tjRLzT/ADPL+0xNHvxnbkdcV5wfgqSc/wBqwjIIwLY98/7fv+gr1Wiu3DZhiMLFxoysn5ImUFLchs7cWllBbhiwijVNx74GM1NRRXG227soKKKKQBRRRQB5/fiG6/t61/tiGxnF652GSNHfMceMM3K9Oop1gIbe80C3Gsw3832gZRWjZkxC+csvLfU120lhaTOXltYHc9WaMEmlisbWFw8VtCjjoyxgGvS+vR5OW3Ty7W3tcjlJ6KKK80sKKKKAPJvH/g3XNY8V3F3YabHcQSRoFkLDOQuD/EO9anwy8MaroWoX02pWKWqSRKibWHzHcT2J7GvRaK9SebVp4b6s0uWyXW+nzI9mr8wUUUV5ZYUUUUAFc341YRWmlzOJfKi1GJ5GjUsUXDZbgE8V0lFa0ans5qdr2E1dHm9gmi2XiN9S/tzVXUhcbvPLvjHD/Lhl46V1XgoMPDEBZHTfJK4DqVODIxHB9jW9RXRiMZ7aHLZ9N3fa/ku4lGwUUUVxFBWD4z0OfxH4an0+2aISu6MPNJCnawJBIBxnFb1FaUqkqU1UjuncTV1Y8Yg+EGtJPEx/s0BSMkTuT9fuV7Mo2qB6ClorpxmYVsZb2vQUYKOwUUUVxFBRRRQAVyniuwln1rTbhtNuL+yWC4hnjgIDfPsx1YcfKehrq6K1oVnRnzrz/FWE1c8vg8L2Wnw372fhzXJLqdZPIaZk2wllIAGJORz3ya9E0i3ktNGsbeYbZYreNHGc4IUA1corfE42eISU/wA2/wAxKKQUUUVxlBXNeNvCA8X2Fvb/AGoW7QyFwSm8HII6ZHrXS0VrRrToTVSm7NCaurM840X4Tf2TrlrqDalE4glWTYluVzjnAO44r0eiitMTjK2KkpVndoIxUdgooormGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB/9k="/>
					</fig>
				</p>
				<p>
					<table-wrap id="t7">
						<label><bold>
 <italic>Tabla 7</italic>:</bold></label>
						<caption>
							<title>Parámetros fotométricos obtenidos del software DiaLux</title>
						</caption>
						<table>
							<colgroup>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="justify">Párametros</th>
									<th align="justify">DiaLux</th>
									<th align="justify">Nominal</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="justify">Lm</td>
									<td align="justify">1.68 cd/m2</td>
									<td align="justify">&gt;1.50 cd/m2</td>
								</tr>
								<tr>
									<td align="justify">Uo</td>
									<td align="justify">0.5</td>
									<td align="justify">&gt;0.4</td>
								</tr>
								<tr>
									<td align="justify">Ui</td>
									<td align="justify">0.76</td>
									<td align="justify">&gt;0.7</td>
								</tr>
								<tr>
									<td align="justify">Tl</td>
									<td align="justify">9%</td>
									<td align="justify">&lt;10%</td>
								</tr>
								<tr>
									<td align="justify">R</td>
									<td align="justify">0.62</td>
									<td align="justify">&gt;0.35</td>
								</tr>
							</tbody>
						</table>
					</table-wrap>
				</p>
				<p>El panel solar posee especificaciones técnicas detalladas que se presentan en la <xref ref-type="table" rid="t8">Tabla 8</xref>. Estas especificaciones permiten determinar la cantidad de paneles necesarios en el sistema. Las especificaciones técnicas del panel solar diseñado para las estaciones de carga.</p>
				<p>
					<disp-formula id="e15">
						<graphic xlink:href="data:image/png;base64,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"/>
					</disp-formula>
				</p>
				<p>
					<disp-formula id="e16">
						<graphic xlink:href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAjcAAAAaCAYAAABLhX1vAAAAAXNSR0ICQMB9xQAAAAlwSFlzAAAOxAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAAwmSURBVHja7VzNk9TGFdesrzZnsFe6xOCrd1pztLlsaZsFchsWodIhQOagmlIBS9Uc8Hp2b4SPXL2QKsNeWEw5t0AK8M1J8XGPcWL/AUn8LyQh/Vp6mjc93RrN7oITeIdf1cxI3f36vdZ7v36vNd7GxobHYDAYDAaD8aaAlfCmGdTzWm/z+Gxzlpnnxs/DXrZnezK5Yewx7nnenFegVWKu7v5hHh9MkmQ5z9f3/xzy2safJvP/KgaD3ntxni/gHIgddj0f0l+Fmntqx3TZvGh7b446aPr9nnF9D+bSqpnH2DWXzFmWfdgbDN7bq2CyWz03bN+i8uLcer3hAftYr94mk/LZ+7RdIz5nrtfr7rP5kt3ozNSX3eeN6WhulmduuJp+6NI/xaWseyjOhwfN39fzfL9qf6SbXTqEfiBP0096ly+/yzGJyQ1jD3D5cu9dOe994/niWRiGm4DAC76X+XChto3vf1V3z7RgsGuZyfjl9+2dyvNz4VK22A5DeQUcGszhiO/fDUJ5I5Gdc74f/nExu9Te6W5xOEwPCM/7Qd3/L4V/FxA/psORM246psvmEGDVGD96IrmNTrkf+Rc9cWpr1MZ77Pnysc1pN53LNDlBj0EQ3i+vPUgHg/fr1qnuLwx/45rrLHI69VzKMC5/hPI/wLGbtIcAKcNAP5sYKLFPc24QdHV/YBNF4EqbrIJNYB4jmyw9xut7ATrGtGuVDGTOIlk7RtuW89sGncUjnQmis7+5dGbT1+R68h61Sh3odey3nnrh0tdNdYL6n7aGYuFfc/mlWHi3RbKu551J/4IvswucvWFyw9hDnBLeFjxk+D2R8jQGQZLNaVGH3vbaj2mgtN1n+x12KEuB+B04IvyNXjf7aDK+q41rB2frs6kMe+V8BoP0/TCQNzDoa4cvk9PUJn7UXzXbwe6u2+vtm7Y7XF+VH3dkfqbSWSyO0++zjDkKKOIR6Jzqga4dmFNBdgpyU1z3r7uce9O51MlpEpgcgkTUvwjyVTIXa21uos8gvEFJhGve2k6OoFfouV/pdT0Rx5rqGWSc1l6vEz+8Y+rEmNvYukzKoEls8gMlF3UBd8ckPQju++LUdfP5sF1ronu4Z3k5/hW2gTmZOsNrhc6K76gvzIg4ScfCiFhAeyXf1brn3/QFpf4fdgeDD1ybtWEuF3z/yDZdO9he+8GSHMHnRObLr9rnMJjcvFUoiIL/HJyd7aHOE7ksw/CKEPIqOiNwBjSAue6jv6td1A0ov0Cw8zz/J9hVyeT8Edg16Xbx8Dh+7iT5Sdpe3fuFiKK1bm+wbzR+chudYCLEsKM6w2zCRH9xP66TdRYZoig+a2YhbCnyaWlu2M1SQknlA2cHO1uRrh+dIARJZ0U5zLtACuBezFpQomkLFIpQ3nTdg2PCbtYmEwYpCFBahkichYwTBFxNbpTe8HcpxWe4Noo2yTWXXKO5DBrPpdzxbsEutwognniGbfTamJffQEBBmUv7bXazwUdj4xMitFNyYyVMU/S8pPW8dqxJe9SvuZ70vJVu9fok9qjITdGmRW2ig7JuNwrktqzqLGtZr1X1vKSpOGtmblzXcJ5IDOr0b+rMvBf6ighR0qTFoq9JYug/g0wQrBGhOqb9nk/kEfANaPM8ik4AWdK+RnbOiSg/O21t4fpCAjXhS6S46vvyKxgDx0NCZvU5e5hlYzC5eTvIjQ4O7edRmp4A4uHL/AIJwBfhOzxsNBjDZ7rDr7nvIvanCMjn4HzNtmmaSh2QfPEMyA486LirpO0pobKMX303+yt2T8qJkLKJKetsMhSkiu7c9c7U9781AYHatkOuK5fA2OAso7h/1OX0kRRk2eLhJmSgjmQ0HRN1DAEDbKnI3wrdUesMgUg+RztBP0A6p8m2o7nAbri0Z2Xf0vlTcqNl9sMHoGe03fi5lfG2tiA/GHQ/EEF0sySTtYQV9WzT4ZieV7JjtnvM9hiEQ6k2B3qNjUozI3vcA3usoT2m2GQuVrZz6bhcy3+YZS1nijwBCbfp13WtXP93dAlc9Sui/q+9e5PndZrrrCBrlb6iSX1N+jzxNIrEmi3bRLNiJbF6XJFFTVjWjuHagsyLbe7QLjKyU9mialOWnqCfOd3mZYuWuHSJitw36vslZ2+Y3DBmIjexOA6ODw5Z5rJzBh1YVfpRD2eexwuQ6kWnSEsRrvtspSuzLQ2cJmkw21NyY/Zhfqf9UUJSN6cmMmiHRsifK4U8LZ3s0o2WN8/3g0NXAeVPdfV8La/n/9PmvE3UlYaajgk6huyYFOIqLZFgkNUZgopEnNqCdWXT1W7mgiUHqrc6ckPLVzbbucgNJaxB4L1QdvzPtCC/0aDcY+hZTGtfZaUwY5qKoy04v6TkBQJjswfJSDlsUn+uY5a1XGaBrgPBKvxIvDXI0o9AnrprJoFRdrrlyqARnX07TWemvoZEX2N9lj6hIMpLdzEjbGR2nsKzMIzlYVgLQG50JipYvoL696NsFYmKqdei1BWPEdW2Jx6ibMV6LNpQcgNr3HUfxysmN4wZYJ6zoHVsCBKQ1YBy0vhDapAOy31m6WqjpjxiIzxVkBplXDT5MMe39Un7o0HNJWutDOUcilLRZLYFy1h4GHsco1JBE3JD5bGRLbpb1VmOtHMGS1SzZm1oqnzamKhjmSfLuKMdIzdSXseD0Vpnofy9LkdMycLY5zLYt1FT/kD9V+tMEZExAqAzcCqgDXsHqL1sBK8uc0Nt1aQs5cra2PQMwdDc6dvam/JhRqF7KTvkskdFbtAmqm1lE0WE6mwCh5HhoHXTtdwvsipf6Ou+/8ALgu/xvvM110yyRDMfrrMuTXSm14JaQ6a+TP2MMltFuWshXvul5TCzIhvZYSnkZ3nSOQn3D+POcZEOj9LzMtAuXvCvmZsCk6gCMUX5afvx8WgW6OXEfQwmN4yGwDelsEYNr2RGIlrTQUo/jEUqW+9O4nzBulN23Dfxe76+H9tCMB72egc2ako0pH15HqR4M2TC4RvfaX/4GZ2QS1anDCSdr3diXvt5eU5gLIBB1ssFl97NN12AJGFZCEtmtswHzJeWb7Cs4wq+ENQnSJvaDcdx9uksY2JpDwIDDQZl1uUnHAP0ND8//2fX2Z2dzuVU2/9tOe47sE6lTM4YgUGM5pBdoDIjmQTbTc5LjVfz+m1TchM30vPLFpWRriNbe+PQagtLclm2+CnqSdnjVqGXUVlHEwHDJpAtamKTPM9/MctannxWJssn5jWtj6i/AjLrMkzxNtUt8Amgr+JsEOpsdI9FZ9fomRaXvqjtNFEnZSbwCXMi3jLLYonqG84JYuYrEEs3ocRXnVsq9V8RzjyfH700Ub4sQMatxul234HPQMixDV3DMJbrPo5ZTG4YDQE7ncALXvhhqOvfkH4FJzNy6sF9vIaBGNvALgzLT7b78Hfc+elUdfnaK9yLb4SUu61tM8CUhw43ZZp2ywO+K7bxbd9VUNvG16thZwbj6fM3NXPCNjb96HuVHJCqpu12A127Lw/iosOH/jsyOQeHFm3nT4oDjfK0Kac+I5Suf2Kzr3VeQPL8pUdQmps2JiGat6rPQfAC2mhiB4FU9YVjYN/T/q9jlrkUdvD+Mfbqr4irXTyMOcr+FPNFmclZjCdgd5p9aFI6K8nNZt18Kj0bBGg4rucnLj272hfZkc5KEEabaSq7sHZ1sKVzK+zxHfRdEU7pn9c2wA0A2uQVHkpVhE2N2X5ie0vJvAYZojboI4rPxagPONiv5ZQPNWlw3GPo7I45p36M+opOoL4sz/R3nZX8JL55pdbW3zsr2cmxTG7b+xJ1XGQH209ouYuuLZDTb4fbOD9rmaoY9y9hO9yE843QBj4XGzb9lwp/9RezVU34HfdxzGJyw2D8XxDLuowL49WizAZO/W8kIGGr8erHrDNG02x41OAvBhhMbhiMNxZwgBsyWJxyfv3ERr/Sa3nVnsHYDaa9as9gcsNgvCXOMD4IJTPWxesDlL5sB70ZjN2iT/5GgsHkhsFgMBgMBoPJDYPBYDAYDAaTGwaDwWAwGAwmNwwGg8FgMBhMbhgMBoPBYDC5YTAYDAaDwWByw2AwGAwGg8HkhsFgMBgMBoPJDYPBYDAYDAaTGwaDwWAwGExuGAwGg8FgMJjcMBgMBoPBYLxe/BcBKt3lbfXwnwAAAABJRU5ErkJggg=="/>
					</disp-formula>
				</p>
				<p>
					<disp-formula id="e17">
						<graphic xlink:href="data:image/png;base64,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"/>
					</disp-formula>
				</p>
				<p>
					<table-wrap id="t8">
						<label>Tabla 8:</label>
						<caption>
							<title>Especificaciones técnicas del panel solar para estaciones de carga[13]</title>
						</caption>
						<table>
							<colgroup>
								<col span="3"/>
							</colgroup>
							<thead>
								<tr>
									<th align="center" colspan="3">Panel monocristalino de 400 W </th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="justify">Potencia</td>
									<td align="justify">405</td>
									<td align="justify">Wp</td>
								</tr>
								<tr>
									<td align="justify">Vmax </td>
									<td align="justify">176.87</td>
									<td align="justify">V</td>
								</tr>
								<tr>
									<td align="justify">Vnom</td>
									<td align="justify">150</td>
									<td align="justify">V</td>
								</tr>
								<tr>
									<td align="justify">Imax</td>
									<td align="justify">2.287</td>
									<td align="justify">A</td>
								</tr>
								<tr>
									<td align="justify">Voc</td>
									<td align="justify">216.8</td>
									<td align="justify">V</td>
								</tr>
								<tr>
									<td align="justify">Isc</td>
									<td align="justify">2.520</td>
									<td align="justify">A</td>
								</tr>
								<tr>
									<td align="justify">Eficiencia </td>
									<td align="justify">17.86</td>
									<td align="justify">%</td>
								</tr>
							</tbody>
						</table>
					</table-wrap>
				</p>
			</sec>
		</sec>
		<sec sec-type="results">
			<title>ANÁLISIS DE RESULTADOS</title>
			<p>Después de realizar los cálculos necesarios, se efectúa la simulación utilizando el software Etap. En esta etapa inicial, se lleva a cabo la configuración de baterías, reguladores de carga e inversores específicos para cada poste, como se ilustra en la <xref ref-type="fig" rid="f13">Fig. 13</xref>.</p>
			<p>La <xref ref-type="fig" rid="f12">Fig. 12</xref> presenta la disposición diseñada para cada poste, con un enfoque en la iluminación y las comunicaciones. Un convertidor dc/dc se emplea para abordar la necesidad de adaptar el voltaje elevado del panel a los 48V requeridos para el inversor. </p>
			<p>Cada panel en la figura representa un poste, y en el interior de cada panel se encuentra una configuración de 2 paneles en paralelo y 1 en serie. Estas configuraciones se conectan a un bus, tal como se ilustra en la <xref ref-type="fig" rid="f13">Fig. 13</xref>.</p>
			<p>
				<fig id="f12">
					<label>Figura 12:</label>
					<caption>
						<title>Arreglo por cada poste</title>
					</caption>
					<graphic 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"/>
				</fig>
			</p>
			<p>La <xref ref-type="fig" rid="f12">Fig. 12</xref> exhibe un conjunto de 10 postes, cada uno con su propio sistema destinado a las comunicaciones y la iluminación. </p>
			<p>Cualquier energía sobrante se redirige hacia las estaciones de carga, y el bus, visible en la misma figura, se encarga de recopilar esta energía excedente. Es importante tener en cuenta que, debido a las distancias involucradas, se producen caídas de voltaje. La <xref ref-type="table" rid="t14">Tabla 14</xref> proporciona información detallada sobre la cantidad de energía que contribuye cada poste al bus y muestra las caídas de voltaje en este arreglo de 10 postes.</p>
			<p>
				<table-wrap id="t9">
					<label>Tabla 9:</label>
					<caption>
						<title>Caídas de voltaje del arreglo de 10 postes</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<tbody>
							<tr>
								<td align="justify">Distancia (m)</td>
								<td align="justify">Voltaje (V)</td>
								<td align="justify">Caída de voltaje(V)</td>
								<td align="justify">Voltaje total(V)</td>
							</tr>
							<tr>
								<td align="justify">39</td>
								<td align="justify">160.8</td>
								<td align="justify">1.93</td>
								<td align="justify">158.90</td>
							</tr>
							<tr>
								<td align="justify">78</td>
								<td align="justify">160.8</td>
								<td align="justify">3.87</td>
								<td align="justify">156.96</td>
							</tr>
							<tr>
								<td align="justify">117</td>
								<td align="justify">160.8</td>
								<td align="justify">5.80</td>
								<td align="justify">155.03</td>
							</tr>
							<tr>
								<td align="justify">156</td>
								<td align="justify">160.8</td>
								<td align="justify">7.74</td>
								<td align="justify">153.09</td>
							</tr>
							<tr>
								<td align="justify">195</td>
								<td align="justify">160.8</td>
								<td align="justify">9.67</td>
								<td align="justify">151.16</td>
							</tr>
							<tr>
								<td align="justify">234</td>
								<td align="justify">160.8</td>
								<td align="justify">11.61</td>
								<td align="justify">149.22</td>
							</tr>
							<tr>
								<td align="justify">273</td>
								<td align="justify">160.8</td>
								<td align="justify">13.54</td>
								<td align="justify">147.29</td>
							</tr>
							<tr>
								<td align="justify">312</td>
								<td align="justify">160.8</td>
								<td align="justify">15.47</td>
								<td align="justify">145.36</td>
							</tr>
							<tr>
								<td align="justify">351</td>
								<td align="justify">160.8</td>
								<td align="justify">17.41</td>
								<td align="justify">143.42</td>
							</tr>
							<tr>
								<td align="justify">390</td>
								<td align="justify">160.8</td>
								<td align="justify">19.34</td>
								<td align="justify">141.49</td>
							</tr>
						</tbody>
					</table>
				</table-wrap>
			</p>
			<p>La <xref ref-type="table" rid="t9">Tabla 9</xref> presenta datos sobre las pérdidas de voltaje en los conductores, que varían según las distancias entre los postes. Los valores están expresados en voltios. El voltaje nominal es el voltaje que proviene del panel solar y, a medida que pasa a través de los conductores, experimenta una pérdida de voltaje acumulativa. Notablemente, la pérdida de voltaje en el último poste es de 19.34 V. Por lo tanto, se decide realizar una nueva configuración de conexiones. En lugar de la configuración original, que era en paralelo, se conectan los 10 postes en serie, lo que aumenta el voltaje total. Esta nueva configuración es necesaria debido a las mayores distancias involucradas y permite alcanzar las estaciones de carga.</p>
			<p>
				<fig id="f14">
					<label>Figura 14:</label>
					<caption>
						<title>Sistema fotovoltaico multipropósito</title>
					</caption>
					<graphic 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"/>
				</fig>
			</p>
			<p>La <xref ref-type="fig" rid="f14">Fig. 14</xref> ilustra el sistema total diseñado para cubrir la mitad de la vía E485, y este sistema se replica para abarcar la totalidad de la vía.</p>
			<sec>
				<title>Resumen Final</title>
				<p>El sistema multipropósito que se extiende a lo largo de la carretera para alimentar dos estaciones de carga se desplegará en un área de paneles solar de 13,160 m<sup>2</sup>, equivalente a aproximadamente una hectárea y media de terreno, esto debido a la autonomía de los vehículos eléctricos. A continuación, se proporciona la <xref ref-type="table" rid="t10">Tabla 10</xref>, que detalla las especificaciones técnicas del sistema de energía solar aislado.</p>
				<p>
					<table-wrap id="t10">
						<label>Tabla 10:</label>
						<caption>
							<title>Características del sistema aislado fotovoltaico [2]</title>
						</caption>
						<table>
							<colgroup>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="justify">Descripción</th>
									<th align="justify">Valor</th>
									<th align="justify">Unidades</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="justify">Potencia Nominal</td>
									<td align="justify">666225</td>
									<td align="justify">W</td>
								</tr>
								<tr>
									<td align="justify">Potencia instalada</td>
									<td align="justify">158295.875</td>
									<td align="justify">W</td>
								</tr>
								<tr>
									<td align="justify">Área de paneles </td>
									<td align="justify">13160</td>
									<td align="justify">m2</td>
								</tr>
								<tr>
									<td align="justify">Energía producida diaria </td>
									<td align="justify">1608822.96</td>
									<td align="justify">Wh</td>
								</tr>
								<tr>
									<td align="justify">Energía producida anual</td>
									<td align="justify">587220380</td>
									<td align="justify">Wh</td>
								</tr>
								<tr>
									<td align="justify">Módulos instalados</td>
									<td align="justify">1645</td>
									<td align="justify">u</td>
								</tr>
							</tbody>
						</table>
					</table-wrap>
				</p>
				<p>
					<fig id="f15">
						<label>Figura 15:</label>
						<caption>
							<title>Flujograma del proceso para diseño del sistema multipropósito</title>
						</caption>
						<graphic 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"/>
					</fig>
				</p>
				<p>Debido a las pérdidas de potencia en los conductores, es necesario aumentar el número de paneles para satisfacer la demanda. Las pérdidas de potencia no permiten alcanzar la potencia necesaria con la cantidad inicial de paneles, por lo que se requiere una mayor cantidad para cumplir con la demanda de manera efectiva.</p>
				<p>Es importante destacar que el sistema se replica en la otra mitad de la vía para abastecer dos estaciones de carga a lo largo de la carretera. Cada conjunto de postes incorpora un convertidor dc/dc debido al alto voltaje de los paneles, lo que hace esencial el uso de convertidores para adecuar el voltaje a las necesidades del sistema.</p>
			</sec>
		</sec>
		<sec sec-type="conclusions">
			<title>CONCLUSIONES</title>
			<p>La implementación de sistemas fotovoltaicos en infraestructuras viales, como estaciones de carga y alumbrado público, es una estrategia eficaz para promover la movilidad sostenible y reducir la dependencia de los combustibles fósiles. Estos sistemas aprovechan la energía solar para alimentar tanto la iluminación como la carga de vehículos eléctricos, lo que contribuye significativamente a la reducción de emisiones de carbono y la optimización de la eficiencia energética.</p>
			<p>La planificación y el diseño de estos sistemas son fundamentales para garantizar su eficacia. Consideraciones como la ubicación de los postes, la selección de la clase de iluminación y los cálculos técnicos de distancias y pérdidas de energía son esenciales para lograr un funcionamiento óptimo y rentable de las infraestructuras viales que incorporan energía solar.</p>
			<p>La implementación de sistemas fotovoltaicos a lo largo de carreteras ofrece una solución eficiente a la inserción a futuro de vehículos eléctricos en el país, evitando cargas en el sistema nacional interconectado y brindando mayor confiabilidad al uso de vehículos eléctricos. Al utilizar estos sistemas, se puede aprovechar el espacio sin necesidad de ocupar terrenos adicionales, lo que representa una ventaja significativa. A pesar de las pérdidas por distancias y las condiciones de irradiación, estos sistemas contribuyen a una mejor utilización de áreas existentes, lo que es fundamental para la generación sostenible de energía.</p>
			<p>La eficiencia de los sistemas fotovoltaicos se beneficia enormemente del uso de concentradores solares fotovoltaicos en comparación con los paneles convencionales. Mientras que los paneles tradicionales tienen una eficiencia típica del 17%, los concentradores solares logran una eficiencia del 170%, es decir, alrededor de diez veces mayor. Esta mejora en la eficiencia representa un avance significativo en la generación de energía solar, lo que contribuye a un rendimiento óptimo y sostenible de los sistemas fotovoltaicos en diversas aplicaciones.</p>
		</sec>
	</body>
	<back>
		<ref-list>
			<title>REFERENCIAS BIBLIOGRÁFICAS</title>
			<ref id="B1">
				<label>[1]</label>
				<mixed-citation>[1] J. G. V. Sánchez, Análisis y Estimación de la Demanda Eléctrica con la Implementación de Vehículos Eléctricos conectados a una Red de Distribución en Cuenca y El Ecuador. 2017.</mixed-citation>
				<element-citation publication-type="thesis">
					<person-group person-group-type="author">
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