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El potencial de la energía fotovoltaica como fuente de electricidad = en Manabí

 =

The potential of photovoltaic en= ergy as a source of electricity in Manabí

 


1=

Walter Iván Navas Bayona                                   https://orcid.org/0000-0002-5= 646-1821

Universidad San Gregorio de Portoviejo

winavas@sangregorio.edu.ec

2=

Rayner Stalyn Durango Espinoza                                   https://orcid.org/0000-0001-8162-1164

Escuela Superior Politécnica del Litoral=

rdurango@espol.= edu.ec

 = ;

3

Edgar Fabricio Landívar Chávez                          https://orcid.or= g/0000-0002-5464-4448

Investigador Independiente

 = ;

 

 

 

 

Artículo de Investigación Científica y Tecnológica<= o:p>

Enviado: 05/11/2020

Revisado: 20/11/2021

Aceptado: 27/12/2021

Publicado:05/01/2022

DOI: https:/= /doi.org/10.33262/cienciadigital.v6i1.1956

 

 

 

 

Cítese: <= /o:p>

 

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Navas Bay= ona, W. I., Durango Espinoza, R. S., & Landívar Chávez, E. F. (2022). El potencial de la energía fotovoltaica como fuente de electricidad en Manab= í. Ciencia Digital, 6(1), 91-115. https://doi.or= g/10.33262/cienciadigital.v6i1.1956

 

 

 

 

CIENCIA DIGITAL, e<= /em>s una Revista multidisciplinaria, Trimestral, que se publicará en soporte electrónico tiene como misión contr= ibuir a la   formación de  profesionales competentes con visión humanística y crítica que sean capaces de  exponer  sus resultados  investigativos y científicos en la mis= ma medida que se promueva mediante su intervención cambios positivos en = ; la sociedad. https://ciencia= digital.org

La revista es editada por la Editorial Ciencia Digi= tal (Editorial de prestigio registrada en la Cámara Ecuatoriana de Libro con = No de Afiliación 663) www.celibro.org= .ec

 

 

 

 

Esta rev= ista está protegida bajo una licencia Creative Commons AttributionNonCommercialNoDerivatives 4.0 Internati= onal. Copia de la licencia: http://creativecommons.org/licenses/by-nc-nd/4.0/.

 

 

Palabras claves: cambio climático, energías renovables, radiación solar, energía fotovoltaica.

 

Resumen

Introducción. El cambio climático se mantiene como uno de los principales factores de riesgo para la humanidad, su efecto en las condiciones de vida y actividades de todos los seres vivos puede repercut= ir en forma drástica en el estilo de vida de los ecosistemas actuales. Diferentes países han implementado políticas y acciones que buscan mitiga= r el efecto de los gases invernadero y su contribución al cambio climático. El Ecuador ha implementado políticas para disminuir la emisión de gases contaminantes, modificando su matriz energética para aprovechar las condiciones climáticas y geográficas de la misma, buscando implementar el= uso de energías renovables como la fotovoltaica.  Objetivo. Analizar el potencial de generación eléctrica que se puede alcanzar en la provincia de Manabí, en el uso y aprovechamiento de la energía solar fotovoltaica.  Metodología.  Los datos se han obtenido por medio d= el uso de diferentes bases de datos de sistemas de energía solar, tomando valore= s de varias décadas referentes a la insolación solar, considerando como muestra los principales cantones de la provincia de Manabí; en donde se estimó los valores de generación de energía eléctrica que se puede alcanzar en cada cantón. Resultados. Los cant= ones de Manta y Montecristi alcanzan un alto nivel radiación solar superior a = los 1,700 KWh/m2/año; Portoviejo y Jipijapa alcanzan valor superio= r a 1,600 KWh/m2/año, Chone y El Carmen valores ligeramente inferiores. Generando por metro cuadro con paneles de Silicio entre 205 a= 262 KWh/año. Conclusión. La prov= incia de Manabí por su posición geográfica y sus condiciones climáticas muestra= un alto potencial de desarrollo de energía de autoconsumo por medio de siste= mas fotovoltaicos, lo cual permite plantear la viabilidad técnica de instalar= sistemas fotovoltaicos a nivel de industrias, comercios y viviendas.

 =

 

Keywords: Climate change, renewable energies, s= olar radiation, Photovoltaic energy

 

Abstract

Introduction. Climate change remains one of the main risk fac= tors for humanity, its effect on the living conditions and activities of all living beings can drastically affect the lifestyle of current ecosystems. Different countries have implemented policies and actions that seek to mitigate the effect of greenhouse gases and their contribution to climate change. Ecuador has implemented policies to reduce the emission of pollut= ing gases, modifying its energy matrix to take advantage of its climatic and geographical conditions, seeking to implement the use of renewable energi= es such as photovoltaics. Objective= . Analyze the potential of electricity generation that can be achieved in t= he province of Manabí, in the use and exploitation of photovoltaic solar ene= rgy. Methodology. The data have b= een obtained using different databases of solar energy systems, taking values ​​from several decades referring to solar insolation, conside= ring as a sample the main cantons of the province of Manabí; where the electric power generation values ​​that can be achieved in each canton were estimated. Results. The cantons of Manta and Montecristi reach a high= level of solar radiation above 1,700 KWh/m2/year; Portoviejo and Jipijapa reach a value higher = than 1,600 KWh/m2/year, Chone and El Ca= rmen slightly lower values. Generating per square meter with Silicon panels between 205 to 262 KWh/year Conclusion. Due to its geographical position and climatic conditions, the province of Manabí shows a high potential for the develop= ment of self-consumption energy through photovoltaic systems, which allows rai= sing the technical feasibility of installing photovoltaic systems at the level= of industries, businesses and homes.

 

 

 

Introducción

En las últimas décadas una serie de investigadores= y organismos multilaterales han mencionado sobre la problemática global que implica el cambio climático para la humanidad. Convirtiéndose en el desafío= y prioridad de organismos nacionales, internacionales, empresas, fundaciones y centros de investigación en todo el mundo. Siendo el tema principal de discusión y preocupación sus efectos en aspectos no solo ambientales, sino también en las dinámicas sociales, políticas y culturales (González & Meira, 2020). La importancia de unir esfuerzos para investigar sobre los efectos del cambio climático está en las modificaciones de vida que puede generar esta problemática en las actividades humanas, cuando se considera q= ue con las condiciones actuales el efecto puede ser irreversibles para el planeta = (Schewe et al., 2019).

El esfuerzo para mitigar los efectos del cambio climático son múltiples, sin embargo su impacto se considera casi inevitable por cierto grupo de científicos, reconociendo que es un problema alarmante = que requiere acciones inmediatas para evitar un avance de sus efectos negativos= en el planeta (Canaza-Choque & Huanca-Arohuanca, = 2018). Esto ha permi= tido promover acciones que buscan retrasar sus efectos por medio de la adopción = de estrategias y acciones que busquen mitigar la evidencia científica sobre es= ta problemática (Lewandowsky et al., 2015). Siendo la educación y socializació= n de los efectos del cambio climático una opción que los investigadores y grupos= de interés manejan como política para difundir la importancia de concientizar a todos (Poma, 2018).

Sin embargo, la mitigación del cambio climático depende de la capacidad de la humanidad para controlar la emisión de los ga= ses de efecto invernadero (GEI). Siendo esta la mayor dificultad actual de las naciones, porque las actividades antropogénicas es la causa principal del incremento de la temperatura del planeta y por ende de los cambios que se observa en varias regiones, países o lugares en las últimas décadas (Pérez & Osal, 2018). En su gran ma= yoría estos gases son de orígenes naturales, pero principalmente se considera que= se presentan por la quema de combustibles fósiles como el carbón y derivados d= el petróleo o inclusive por los procesos industriales que requieren para sus actividades, el consumo de sustancias que al liberarse contribuyen con GEI<= w:Sdt Citation=3D"t" ID=3D"2055504602"> (Alcántara & Padilla, 2005).

Como se ha mencionado, la dificultad del manejo en= la emisión de gases de efecto invernadero, radica en las actividades humanas, = en donde se considera que la agricultura, silvicultura y otros recursos contribuyen con la cuarta parte de las emisiones antropogénicas de GEI (IPCC, 2020). Otras accione= s, son la generación de energía tomando como fuentes primarias al carbón y los derivados del petróleo, en donde la liberación de dióxido de carbono (CO2) y monóxido de carbono (CO) contribuyen al cambio de la atmosfera y al calentamiento global (Dong et al., 2019). En función de esta realidad, es q= ue las naciones han desarrollado acciones conjuntas e individuales para mitiga= r la emisión de estos gases; de ahí que los objetivos de desarrollo del milenio (OMS) fue un gran avance para generar acciones y acuerdos para proteger al ambiente de las acciones del hombre, aunque no fueron suficiente (Reid, et al., 2017).

En el caso del Ecuador, el país ha suscrito y ratificado los objetivos de Desarrollo Sostenibles (ODS), que dentro de sus= 17 objetivos y 169 metas contempla aspectos como justicia social, desarrollo e= conómico, erradicación de la pobreza, igualdad y equidad, entro otros, así como al ambiente como una problemática mundial (Monteiro et al., 2019). Esta agenda global que plantea metas para el año 2030, se considera que aún tiene limitaciones de tipo técnico y político; debido al nivel de compromiso observado en ciertas naciones en la implementación de normativas ambientales internas que limiten la emisión de gases de efecto invernadero (Gil, 2018). A pesar de las críticas a las acciones emprendidas por varios países, el Ecuador mantiene = una política de transformación de su matriz energética hacia fuentes de energía= de tipo renovables, de ahí que la principal fuente de generación primaria es la hidroeléctrica.

Objetivos de Desarrollo Sostenible

Los Objetivos de Desarrollo Sostenible (ODS) fueron adoptados por los países miembros de la Organización de las Naciones Unidas= en el año 2015, con la aprobación de 193 países que firmaron la Resolución correspondiente. Estos ODS son la continuidad a lo planteado en los Objetiv= os de Desarrollo del Milenio (ODM), teniendo varios fines, que en su conjunto permitían mejorar las condiciones y calidad de vida en aspectos como la pob= reza, seguridad alimentaria, protección del planeta, paz, prosperidad y otros; considerando como plazo para alcanzarlos el año 2030. Este nuevo compromiso= se centra en aspectos críticos para la humanidad y el planeta, de forma solida= ria y en su conjunto, es decir que las 169 metas deben ser alcanzadas por todos= los países con la cooperación técnica, social y económica entre todas las nacio= nes (Bórquez & Lopicich , 2017).

Adicionalmente, en la resolución de la Asamblea Ge= neral de las Naciones Unidas RES/70/1 del 2015, se aprecia el interés de los país= es por ejecutar acciones que beneficien a las personas, la paz universal, la prosperidad en todos sus ámbitos y ampliar el concepto de libertad; considerando esta resolución, que estos son los desafíos que debe enfrentar= el mundo en los próximos años. Siendo importante mencionar como se considera el cuidado, manejo, protección y gestión del planeta: 

Estamos decididos a proteger el planeta contra la degradación, incluso mediante el consumo y la producción sostenibles, la gestión sostenible de sus recursos naturales y medidas urgentes para hacer frente al cambio climático, de manera que pueda satisfacer las necesidades = de las generaciones presentes y futuras (Asamblea General, 2015, p.2).

Un aspecto importante de los ODS, es que plantean = una visión global, tratan de relacionar que el desarrollo de los países y de la sociedad en general es solo posible cuando aspectos como la desigualdad y la pobreza extrema sean atendidos y eliminados; que la sostenibilidad de la humanidad se da por medio de consumos sostenibles y con el manejo adecuado = del ambiente; siendo necesario el desarrollo de capacidades técnicas, económica= s y culturales para  mitigar a niveles = cero los problemas que generan desigualdades en las diferentes regiones (Gómez, 2018). Este planteam= iento en los ODS de la intervención internacional es considerado como el pilar que genera esperanza sobre la posibilidad de alcanzar las metas planificadas o = por lo menos lograr un alto porcentaje de cumplimiento de las metas; lo cual implicaría mejores condiciones de vida para todas las regiones. =

De igual manera se observa que los informes de científicos e investigadores ratifican la preocupación por cumplir los ODS,= en donde se menciona que los recursos naturales muestran signos de agotamiento, así como de degradación; que eleva los niveles de zonas o regiones con sequ= ias y escasez de agua dulce; que en forma continua generan la pérdida de biodiversidad en muchas áreas del planeta (Ayuso, 2020). Siendo el Cam= bio Climático uno de los mayores retos de la humanidad por afectar la capacidad= de las personas en alcanzar un desarrollo sostenible, dado el incremento de la temperatura global, que está generando la elevación del nivel de mar y acid= ez a los océanos; lo cual afecta a las zonas costeras y sus poblaciones, peligra= ndo la supervivencia y modos de vida de muchos sistemas biológicos y vidas huma= nas.

Por esta preocupación hacia el ambiente y las consecuencias que las acciones humanas hacen en su entorno es que, dentro de los Objetivos de Desarrollo Sostenible, el ODS 7 se centra en ¨Garantizar el acceso a una energía asequible, segura, sostenible y moderna¨ (Asamblea General, 2015, p.16). Este objetivo establece que un número significativo d= e la población mundial no tiene acceso a electricidad y que, a pesar del avance = en la generación de energía, miles de millones de personas aún dependen de la madera, carbón y la biomasa para la cocción de alimentos o generación de energía térmica para hogares (Sachs et al., 2019).

Dentro de las acciones y estrategias para mantener= el crecimiento energético como elemento de desarrollo económico de los países, está el uso de fuentes de energía renovables, siendo esta alternativa una de las principales políticas implementadas por varios grupos de interés alrede= dor del mundo. Este factor es esencial porque un gran porcentaje de las emision= es de gases de efecto invernadero son generadas por el consumo energético (Bra= ndão et al, 2019).  Por eso los países l= levan varios años ajustando sus normativas legales nacionales para impulsar el us= o de energías renovables, creando políticas de incentivos que permiten disminuir= sus costos de instalación.

Energías Renovables

Las energías renovables durante las últimas década= s se han convertido en el eje central de desarrollo inicialmente de los objetivo= s de desarrollo del milenio (ODM) y ahora en una apuesta global en los Objetivos= de Desarrollo Sostenible (ODS). En gran medida porque las fuentes de generació= n de energía por varios siglos fueron de fuentes contaminantes que emanan gases = de efecto invernadero.  El carbón, los derivados del petróleo y otros tipos de energía se convirtieron por muchas décadas en las fuentes de energía para movilidad, preparación de alimentos, procesos industriales y generación de energía eléctrica (Gielen et al., 201= 9).  Existiendo la política de implementar un= a transición energética, por medio de la explotación de fuentes de generación primarias = como el viento, sol, redes hidroeléctricas, geotermia y demás fuentes renovables= que se consideran de difícil agotamiento y que su uso genera menor impacto en el ambiente que las fuentes energéticas tradicionales no renovables (Harjanne & Korhonen., 2019).

Estas políticas han permitido que las energías renovables muestren crecimientos constantes y sostenidos en los últimos años antes y después de la pandemia. Se estima que para fines del 2019 la genera= ción de energía renovables alcanzó los 2,537.00 GW; en donde la energía hidroeléctrica alcanza la mayor representación con 1,190.00 GW; seguida de = la energía eólica con 623.00 GW y la energía solar con 586.00 GW (IRENA, 2021). Sin embargo, = se aprecia que otras fuentes de energía renovables son empleadas como mecanism= os de generación como la bioenergía, la geotermia y la marina con valores de 6= 38.00 GW. La figura 1 muestra el comportamiento de las energías renovables global= es en los años previos a la pandemia.

Figura 1

Energías renovables globales=

Fuente: Tomado de IRENA (2021). Renewable capacity statistics

De los valores del año 2019 se aprecia que en forma anual las energías renovables se incrementan en un 7.40%, siendo la energía solar quien lidera el crecimiento con un 20.00% anual aproximadamente, segu= ida de la energía eólica con un 10.00% y la bioenergía con un 5.00%. De igual manera, para el año 2020 se registra un estimado de crecimiento en la deman= da energética del 10.30% anual, manteniéndose la energía solar como la de mayo= r crecimiento con un 22.00%, seguida de la energía eólica con un 18.00%. Se observa que el incremento del año 2020 obedece al desarrollo de fuentes energéticas en reg= iones como Asia, Norte América y Oceanía.  Un factor importante es que en términos generales en los años 2019 y 2020 el s= istema energético global mostró signos de tasas de bajo crecimiento, lo cual contribuyó al aumento porcentual de las energías renovables con respecto al total de energías.

Sin embargo, la importancia del análisis de las energías renovables es que se utiliza o emplea para producir electricidad; = lo cual permite sustituir para la generación eléctrica a fuentes tradicionales como gas, carbón o combustibles (Wang et al., 2019). De los tipos de energí= a, la solar fotovoltaica se mantiene como la principal fuente de generación eléct= rica en lo que respecta a crecimiento en los últimos años. En gran medida por la reducción de sus costos de instalación y una mejora gradual en la eficienci= a de su tecnología, permitiendo que la solar fotovoltaica alcance valores muy competitivos por kWh en relación con todas las demás fuentes de energía. Ba= jo esta premisa, la energía solar fotovoltaica se considera como una alternati= va energética que mantiene un crecimiento en todas las regiones y países; en g= ran medida por su alto desarrollo tecnológico, reducción de costos de producció= n y por la facilidad de acceso hacia esta fuente energética. 

Energía solar fotovoltaica

La energía solar se produce por medio irradiación = que hace una estrella, en nuestro sistema el sol es quien hace de fuente energética, emitiendo radiación solar que se propaga por medio de ondas electromagnétic= as que generan un flujo en la atmosfera de 1,367.00 W/m2, variando a lo largo del año entre 1,321.00 a 1,412.00 W/m2. Al ingresar a la atmosfera esta radiación es sometida a diferentes procesos que modifican sus características, estos cambios se dan por efecto de las nubes, vapor de agu= a, ozono y el dióxido de carbono (Perpiñán, 2013)<= !--[if supportFields]>. Esta incidenc= ia de la energía solar se aprovecha para varios fines, en forma pasiva sin dispositivos de captación y en forma activa con dispositivos de captación. = En los sistemas activos se puede aprovechar la radiación solar para generar en= ergía solar térmica, la cual aprovecha la temperatura por medio de colectores sol= ares para generar energía térmica, o energía fotovoltaica que aprovecha la luz s= olar para convertirle en energía eléctrica.

La energía solar fotovoltaica es el proceso más empleado para el aprovechamiento de la energía solar; esta se centra en el principio del efecto fotoeléctrico para generar electricidad. Este principio menciona que las ondas electromagnéticas solares están compuestas por foton= es que son partículas indivisibles y que se consideran como un elemento fundamental; permitiendo esto definir a este tipo de energía como renovable, porque la radiación solar es inagotable y no contaminante (García et al., 2= 021). Para la conversión de la energía, el sistema requiere de un dispositivo de células solares encapsuladas en módulos solares, que con la electrónica e interconexión desarrollan un principio de semiconductores. El fotón al inci= dir en el módulo solar ilumina al semiconductor el mismo que absorbe dicha ener= gía, que le permite liberar electrones para que puedan saltar de la banda de valencia a la de conducción.

Por lo sencillo de su principio y por el aprovechamiento del recurso solar, el mercado de energías fotovoltaicas mantiene un crecimiento constante por encima del promedio de otras fuentes = de energías renovables. Su crecimiento se centra en ocho mercados o países que= en forma continua impulsan el crecimiento de este tipo de energía. Para el año 2020, a pesar de que el valor cambia de acuerdo con la fuente, se estima qu= e se instalaron 93.00 GW, valor mayor a los 69.00 GW del año 2019; siendo los principales actores China con 48.00 GW, Estados Unidos con 15.00 GW y Vietn= am con 8.00 GW (Feldman & Margolis, 2021). La figura 2 muestra la variación interanual del mercado fotovoltaico, en donde los ocho principales mercados concentran aproximadamente el 75% de las instalaciones a nivel mundial; mostrando la alta contribución gradual que concentra esta fuente de energía= que en su gran mayoría es empleada para generación de electricidad. =

Figura 2<= /o:p>

Incremento anu= al de energía fotovoltaica

Fuente: Tomado de Feldman et al. (2021). Solar Industry Update

Como se ha mencionado el desarrollo de la energía fotovoltaica se da por el avance tecnológico que se observa en sus equipos.= Siendo el que más contribuye a facilitar la instalación por su desarrollo los pane= les fotovoltaicos. Mostrando la literatura un amplio espectro de elementos utilizados para construir los mismos, siendo los de silicio cristalino los = que han dominado el mercado; sean de tipo monocristalinos o policristalinos, po= rque el silicio es un elemento muy abundante en el planeta. A pesar de que los paneles de silicio son los de mayor uso comercial, existen otros elementos = con mayor rendimiento alcanzado en laboratorios, como las placas compuestas de = a-Si, CdTe, CIS, CIGS, de amorfos de capa fina, entre otros.  Mostrando la Figura 3 la eficiencia de = las diferentes tecnologías, en donde se observa rendimientos experimentales de placas que alcanzan más de un 40% de eficiencia.

Figura 3

Eficiencia de módulos fotovoltaicos

Fuente: Tomado de Feldman & Margolis. (2021). H2 2020: Solar Industry Update<= /span>

Esta alta eficiencia alcanzada por ciertas tecnolo= gías en los paneles solares, no logran crear condiciones suficientes que permitan modificar la demanda global sobre paneles de silicio, los mismo que llevan = años manteniéndose como los de mayor viabilidad comercial por el efecto combinad= o de costo-rendimiento que alcanzan en las instalaciones que emplean estos equip= os. Apreciándose que en el caso de los módulos fotovoltaicos mono c-Si aumentar= on un 6% en el primer trimestre de 2021, siendo ligeramente más altos que hace= un año, mientras que los de policristalinos de silicio se incrementaron en el primer trimestre del 2021 en un 33% a nivel mundial (Feldman & Margolis, 2021).

Energía Eléctrica y fotovoltaica en Ecuador <= /o:p>

La electricidad es un recurso esencial para el desarrollo y progreso de las sociedades en todas las regiones y países actualmente, existen estudios que mencionan que el crecimiento económico y financiero de las economías nacionales están asociadas con el incremento en= el consumo de energía eléctrica y otras fuentes energéticas (Caraballo & García-Simón, 2017). En función de este supuesto, los países consideran al sector eléctrico como área estratégica para el funcionamiento de sus socied= ades y de las economías, generando reglamentaciones y leyes que buscan crear las condiciones adecuadas de inversión, generación, comercialización y control.=

Para el caso del Ecuador en el año 2018 la capacid= ad instalada de generación a nivel nacional registró los 8,676.89 MW de potencia nominal= y 8.062,58 MW de potencia efectiva; en donde las energías renovables registran los 5,271.74 MW de generación, lo que implica un 60,75 % del total del sist= ema; mientras que las energías no renovables generan 3,405.14 MW que implican el 39,24 % del total del sistema (Agencia de Regulación y Control de Electrici= dad [ARCONEL], 2019). Dentro del sistema de generación eléctrica del país, la energía hidroeléctrica es la fuente primaria de mayor aporte, alcanzando los 5,071.40 MW de potencia nominal, seguida de la generación térmica por medio= de motores de combustión interna con 2,021.43 MW de potencia nominal y en terc= er lugar la térmica con gas con 921,85 MW de potencia nominal. La Energía fotovoltaica alcanza una contribución mínima con un 27,63 MW, mostrando un = leve incremento en relación con años anteriores; la misma que está distribuida en proyectos energéticos situados en 10 provincias del país, en donde las provincias de Loja y El Oro alcanzan proyectos que en su conjunto registra = los 6 MW de potencia nominal. 

Dada la importancia del incremento en la capacidad instalada del sistema eléctrico = del país, y en función de las normativas vigentes, las políticas nacionales vigentes buscan impulsar el uso de las energías renovables como fuentes de generación energética. Existiendo desde hace años diferentes planes de acci= ón que buscan cambiar la matriz energética del país, creando condiciones e incentivos para la implementación de energía renovables. Debido a esta plan= ificación, el Consejo Nacional de Electricidad (CONELEC) presentó en el año 2008 el At= las Solar del Ecuador para Fines de Generación Eléctrica; documento que fue generado por la Nacional= Renewable Energy Laboratory (NREL) que ejecuta acciones de investigación y desarrollo de energías renovables y eficiencia energética. =

Dentro de este marco NREL implementó su modelo Climatological Solar Radiation Model, para conocer la radiación solar diaria en superficies horizontales en celda= s; sistema que ha sido empleado en todo el planeta y que toma datos de estacio= nes con un error estimado del 10%. La información contenida en el Atlas Solar d= el año 2008 tomó datos desde el año 1985 hasta el 2006. Los resultados indican= que en promedio en el país la insolación global alcanza los 4,574.99 Wh/m2= /día, con valores máximos de 5,748.00 Wh/m2/día y valores mínimos de 3= ,634.00 Wh/m2/día; en donde se aprecia provincias con alto potencial como Loja, Santo Domingo, Pichincha e Imbabura. En el caso de Manabí se aprecian valores entre 4,350.00 Wh/m2/día a 5,200.00 Wh/m2/día= ; mostrando el nivel de insolación global que incide en la provincia.

Sin embargo, existe una limitada información sobre la irradiación solar potencial en var= ios cantones o puntos de Manabí, la cual puede determinar las condiciones potenciales de la energía fotovoltaica que puede ser aprovechada en la provincia como opción para la generación de electricidad (Vera et al., 2017= ). El presente trabajo busca analizar el potencial energético solar fotovoltai= co de la provincia de Manabí para la generación de energía eléctrica de fuentes renovables, que contribuya a minimizar el impacto de los gases de efecto in= vernadero y con ello contribuir en aminorar el efecto del cambio climático.  

Metodología<= /span>

La investigación se centra en un enfoque de investigación cuantitativa de tipo longitudinal, por medio de la revisión d= e series históricas de información sobre la irradiación solar en diferentes ciudades= de la provincia de Manabí, buscando determinar el valor potencial de la provin= cia para la generación de electricidad. Para este propósito se realizará estudi= os de casos que permitan generar un estudio descriptivo sobre las característi= cas de la irradiación solar y el valor que se puede aprovechar como fuente energética. Se considera como muestra los seis cantones de la provincia con mayor número de habitantes, tomando como base el último censo de población y vivienda del año 2010 y las proyecciones de crecimiento poblacional de los mismos; como se muestra en la tabla 1. 

 

 

Tabla 1

Población de l= os principales cantones de Manabí

CANTONES<= o:p>

2010=

2020=

PORTOVIEJ= O

290,199.0= 0

321,800.0= 0

MANTA

234,547.0= 0

264,281.0= 0

CHONE

131,674.0= 0

131,002.0= 0

EL CARMEN=

91,918.00=

111,344.0= 0

JIPIJAPA<= o:p>

73,951.00=

74,645.00=

MONTECRIS= TI

71,947.00=

107,785.0= 0

Fuente: Adaptado de Instituto Nacional de Estadísticas y Censos (INEC, 2010)

Definidas las ciudades de la provincia de Manabí consideradas para el estudio, se situó en cada cantón un punto de referencia donde ejecutar la simulación de los cálculos de irradiación solar. Para este propósito y debido a las diferentes opciones, se estimó tomar como puntos de referencia los edificios de las Municipalidades de cada cantón, lugares que pueden ser considerados como referentes de zonas urbanas. Para este propósi= to en la tabla 2 se aprecia las coordenadas de cada Municipio por cantón. 

Tabla 2

Población de los principales cantones de Manabí

CANTONES<= o:p>

LATITUD

LONGITUD<= o:p>

PORTOVIEJO=

-            1.05790 <= /p>

-            80.44990 =

MANTA

-            0.94840 <= /p>

-            80.72150 =

CHONE

-            0.69840 <= /p>

-            80.09440 =

EL CARMEN<= /span>

-            0.27190 <= /p>

-            79.45170 =

JIPIJAPA

-            1.34810 <= /p>

-            80.58000 =

MONTECRISTI

-            1.05020 <= /p>

-            80.66030 =

Fuente: Google map

Para la estimación de la irradiación solar se proc= edió a contrastar la información emitida por el CONELEC en el Atlas Solar del Ecuador para Fines de Generación Eléctrica, para este propósito se ha tomado varias fuentes de estimación de energía solar como METEONEORM que es un sof= tware desarrollado en Suiza y que tiene varias versiones, en donde se ha tomado la que estima la radiación solar con datos desde el 2010 al 2014. Otra fuente = que se consideró es la Base de Datos Nacional de Radiación Solar (NSRDB) del software de NREL que emplea mediciones multicanal de satélites geoestacionarios, cuyo periodo considerado para esta investigación contempla desde 1998 a 2016. Otra base de datos empleada fue la del Sistema de Información Geográfica Fotovoltaica (PVGIS), que es desarrollada por el Cen= tro Común de Investigación de la Comisión Europea, la cual toma rango entre los años 2005 a 2016.

Resultados

Las estimaciones de radiación solar con las bases = de datos de los cuatro programas en los seis cantones indican que en el caso de Portoviejo el valor anual de radiación esta entre 1,546.00 kWh/m2/año y 1,759.00 kWh/m2/año (tabla 3); valores que muestran una difere= ncia significativa que se produce por la base de datos utilizada, el proceso de captación de información o por los años que se toman como muestra. Pero que permiten apreciar que hay un potencial solar que puede aprovecharse para generación de electricidad.

Tabla 3

Irradiación Solar en Portoviejo (kWh/ m2/mes)

MES=

METEONEOR= M

NASA=

PVGIS TMY= -SARAH

NREL NSRD= B

ENE=

135<= /o:p>

170<= /o:p>

112<= /o:p>

116<= /o:p>

FEB=

128<= /o:p>

148<= /o:p>

110<= /o:p>

117<= /o:p>

MAR=

158<= /o:p>

180<= /o:p>

140<= /o:p>

151<= /o:p>

ABR=

163<= /o:p>

172<= /o:p>

151<= /o:p>

143<= /o:p>

MAY=

153<= /o:p>

162<= /o:p>

132<= /o:p>

130<= /o:p>

JUN=

116<= /o:p>

123<= /o:p>

102<= /o:p>

117<= /o:p>

JUL=

124<= /o:p>

114<= /o:p>

102<= /o:p>

121<= /o:p>

AGO=

137<= /o:p>

124<= /o:p>

133<= /o:p>

134<= /o:p>

SEP=

128<= /o:p>

131<= /o:p>

141<= /o:p>

153<= /o:p>

OCT=

104<= /o:p>

136<= /o:p>

155<= /o:p>

138<= /o:p>

NOV=

115<= /o:p>

138<= /o:p>

131<= /o:p>

152<= /o:p>

DIC=

138<= /o:p>

162<= /o:p>

136<= /o:p>

135<= /o:p>

ANUAL

1,598.00<= o:p>

1,759.00<= o:p>

1,546.00<= o:p>

1,608.00<= o:p>

Para el caso de Manta ciudad que cuenta con puntos= de medición local de irradiación solar, los valores de las bases de datos están entre 1,651.00 kWh/m2/año a 1,874.00 kWh/m2/año (tabla 4); lo cuales indican y muestran el potencial energético de la ciudad y exp= lica porque hay proyectos de plantas solares en la misma a nivel comercial. Adic= ionalmente la ciudad de Manta cuenta con varias industrias que empiezan a ver a este t= ipo de energía como una opción viable.

 

 

Tabla 4

Irradiación Solar en Manta (kWh/ m2/mes= )

MES=

METEONEOR= M

NASA=

PVGIS TMY-SARAH

NREL NSRD= B

ENE=

148<= /o:p>

164<= /o:p>

138<= /o:p>

161<= /o:p>

FEB=

137<= /o:p>

147<= /o:p>

142<= /o:p>

140<= /o:p>

MAR=

167<= /o:p>

184<= /o:p>

163<= /o:p>

177<= /o:p>

ABR=

172<= /o:p>

174<= /o:p>

167<= /o:p>

171<= /o:p>

MAY=

160<= /o:p>

163<= /o:p>

156<= /o:p>

152<= /o:p>

JUN=

115<= /o:p>

122<= /o:p>

143<= /o:p>

136<= /o:p>

JUL=

120<= /o:p>

124<= /o:p>

150<= /o:p>

151<= /o:p>

AGO=

130<= /o:p>

131<= /o:p>

159<= /o:p>

155<= /o:p>

SEP=

124<= /o:p>

135<= /o:p>

154<= /o:p>

158<= /o:p>

OCT=

103<= /o:p>

141<= /o:p>

164<= /o:p>

158<= /o:p>

NOV=

122<= /o:p>

139<= /o:p>

156<= /o:p>

158<= /o:p>

DIC=

152<= /o:p>

157<= /o:p>

169<= /o:p>

159<= /o:p>

ANUAL

1,651

1,780

1,862

1,874

Para el caso de Chone que se ubica en el norte de = la provincia y que sus valores son estimados en función de datos de equipos de medición cercanos, los valores de irradiación anual están entre 1,546.00 kW= h/m2/año y 1,759.00 kWh/m2/año (tabla 5). Esto indica un potencial solar = para los sectores económicos del cantón como el sector agrícola y pecuario, los cuales cuentan con sistemas de generación de electricidad por medio fotovoltaicos cuyos equipos son aislados, es decir no conectados a la red p= or la dificultad de estos sectores de tener acceso a la red pública.

Tabla 5

Irradiación Solar en Chone (kWh/ m2/mes= )

MES=

METEONEOR= M

NASA=

PVGIS TMY-SARAH

NREL NSRD= B

ENE=

140<= /o:p>

164<= /o:p>

103<= /o:p>

123<= /o:p>

FEB=

131<= /o:p>

147<= /o:p>

139<= /o:p>

126<= /o:p>

MAR=

157<= /o:p>

184<= /o:p>

151<= /o:p>

162<= /o:p>

ABR=

163<= /o:p>

174<= /o:p>

145<= /o:p>

146<= /o:p>

MAY=

150<= /o:p>

163<= /o:p>

129<= /o:p>

133<= /o:p>

JUN=

109<= /o:p>

122<= /o:p>

106<= /o:p>

111<= /o:p>

JUL=

113<= /o:p>

124<= /o:p>

108<= /o:p>

114<= /o:p>

AGO=

123<= /o:p>

131<= /o:p>

112<= /o:p>

125<= /o:p>

SEP=

115<= /o:p>

135<= /o:p>

116<= /o:p>

131<= /o:p>

Tabla 5

Irradiación Solar en Chone (kWh/ m2/mes) (continuación)

MES=

METEONEOR= M

NASA=

PVGIS TMY-SARAH

NREL NSRD= B

OCT=

93

141<= /o:p>

137<= /o:p>

129<= /o:p>

NOV=

113<= /o:p>

139<= /o:p>

128<= /o:p>

122<= /o:p>

DIC=

139<= /o:p>

157<= /o:p>

133<= /o:p>

123<= /o:p>

ANUAL

1,546

1,780

1,506

1,545

Para el caso del cantón El Carmen que se ubica en = el norte de la provincia y que se caracteriza por su sector pecuario y agrícola como principales fuentes de generación económica, los valores de irradiación anual están entre 1,296.00 kWh/m2/año y 1,478.00 kWh/m2/año (tabla 6); los mismos que indica un nivel de radiación solar aceptable, que tiene un potencial para la generación de electricidad, pero que alcanzaría viabilidad económica bajo ciertas condiciones. Siendo importante mencionar = que en este cantón las conexiones fuera de la red, se contempla como una opción para el sector agropecuario que tiene dificultad de acceso a la red pública.  

Tabla 6

Irradiación Solar en El Carmen (kWh/ m2= /mes)

MES=

METEONEOR= M

NASA=

PVGIS TMY-SARAH

NREL NSRD= B

ENE=

131<= /o:p>

123<= /o:p>

95

117<= /o:p>

FEB=

121<= /o:p>

120<= /o:p>

121<= /o:p>

117<= /o:p>

MAR=

140<= /o:p>

147<= /o:p>

144<= /o:p>

142<= /o:p>

ABR=

149<= /o:p>

135<= /o:p>

109<= /o:p>

126<= /o:p>

MAY=

145<= /o:p>

122<= /o:p>

116<= /o:p>

113<= /o:p>

JUN=

118<= /o:p>

107<= /o:p>

96

98

JUL=

121<= /o:p>

112<= /o:p>

111<= /o:p>

102<= /o:p>

AGO=

128<= /o:p>

125<= /o:p>

98

111<= /o:p>

SEP=

116<= /o:p>

123<= /o:p>

105<= /o:p>

117<= /o:p>

OCT=

95

118<= /o:p>

106<= /o:p>

112<= /o:p>

NOV=

97

113<= /o:p>

95

108<= /o:p>

DIC=

118<= /o:p>

117<= /o:p>

100<= /o:p>

109<= /o:p>

ANUAL

1,478

1,462

1,296

1,369

El cantón Jipijapa que posee características geográficas particulares con continuas elevaciones a lo largo de superficie, registra los valores de irradiación anual que están entre 1,520.00 kWh/m2/año y 1,759.00 kWh/m2/año (tabla 7); debiendo mencionarse que en este cantón hay empresarios del sector agropecuario que por las dificultades de cobertura de la red pública de electricidad cuentan con sistemas de generac= ión fotovoltaicas como opción para el encendido de motores o alumbrado de haciendas.

Tabla 7

Irradiación Solar en Jipijapa (kWh/ m2/= mes)

MES=

METEONEOR= M

NASA=

PVGIS TMY-SARAH

NREL NSRD= B

ENE=

130<= /o:p>

170<= /o:p>

102<= /o:p>

110<= /o:p>

FEB=

124<= /o:p>

148<= /o:p>

107<= /o:p>

112<= /o:p>

MAR=

154<= /o:p>

180<= /o:p>

133<= /o:p>

143<= /o:p>

ABR=

159<= /o:p>

172<= /o:p>

135<= /o:p>

130<= /o:p>

MAY=

152<= /o:p>

162<= /o:p>

115<= /o:p>

125<= /o:p>

JUN=

123<= /o:p>

123<= /o:p>

97

113<= /o:p>

JUL=

131<= /o:p>

114<= /o:p>

126<= /o:p>

124<= /o:p>

AGO=

143<= /o:p>

124<= /o:p>

129<= /o:p>

142<= /o:p>

SEP=

134<= /o:p>

131<= /o:p>

161<= /o:p>

154<= /o:p>

OCT=

112<= /o:p>

136<= /o:p>

160<= /o:p>

150<= /o:p>

NOV=

108<= /o:p>

138<= /o:p>

131<= /o:p>

139<= /o:p>

DIC=

132<= /o:p>

162<= /o:p>

124<= /o:p>

135<= /o:p>

ANUAL

1,603

1,759

1,520

1,576

El cantón Montecristi que se ubica entre Portoviej= o y Manta, que su economía se desarrolla con varios sectores, lo cual permite u= na amplitud de ingresos para sus habitantes, inclusive porque se han desarroll= ado proyectos inmobiliarios en los últimos años y se han instalada nuevas industrias en su zona industrial, registra valores entre 1,630.00 kWh/m2/año y 1,759.00 kWh/m2/año (tabla 8). Siendo importante mencionar que= por las actividades económicas se observa en este cantón instalaciones de micro generación en pocas industrias y soluciones habitacionales, lo cual indica = que hay inicios de aprovechar este tipo de energía para la generación de electricidad.

Tabla 8

Irradiación Solar en Montecristi (kWh/ m2/mes)

MES=

METEONEOR= M

NASA=

PVGIS TMY-SARAH

NREL NSRD= B

ENE=

142<= /o:p>

170<= /o:p>

106<= /o:p>

131<= /o:p>

FEB=

132<= /o:p>

148<= /o:p>

113<= /o:p>

125<= /o:p>

MAR=

163<= /o:p>

180<= /o:p>

160<= /o:p>

148<= /o:p>

ABR=

168<= /o:p>

172<= /o:p>

172<= /o:p>

152<= /o:p>

MAY=

157<= /o:p>

162<= /o:p>

133<= /o:p>

141<= /o:p>

JUN=

117<= /o:p>

123<= /o:p>

142<= /o:p>

123<= /o:p>

Tabla 8

Irradiación Solar en Montecristi (kWh/ m2/mes) (continuación)

MES=

METEONEOR= M

NASA=

PVGIS TMY-SARAH

NREL NSRD= B

JUL=

123<= /o:p>

114<= /o:p>

153<= /o:p>

133<= /o:p>

AGO=

135<= /o:p>

124<= /o:p>

162<= /o:p>

148<= /o:p>

2SEP

127<= /o:p>

131<= /o:p>

152<= /o:p>

147<= /o:p>

OCT=

105<= /o:p>

136<= /o:p>

150<= /o:p>

148<= /o:p>

NOV=

117<= /o:p>

138<= /o:p>

151<= /o:p>

147<= /o:p>

DIC=

144<= /o:p>

162<= /o:p>

152<= /o:p>

150<= /o:p>

ANUAL

1,630

1,759

1,747

1,692

Los valores de irradiación solar para cada uno de = los cantones muestran niveles aceptables de energía en los mismos, lo cual rati= fica  el potencial energético que tiene = la provincia y la viabilidad técnica de instalar sistemas fotovoltaicos como fuente de generación de electricidad; sin embargo lo valores estimados son diferentes a los mostrados en el estudio del CONELEC respecto al potencial = de energía fotovoltaica en la provincia, los cuales muestran un valor anual ma= yor por metro cuadrado en el año.

Adicionalmente, este trabajo de investigación ha e= mpleado programas de simulación que permita evaluar el potencial teórico de energía eléctrica que se podría generar con un sistema fotovoltaico de autoconsumo o también denomina = on-grid. Como variables de la simulación se ha considerado supuestos del sistema como un área total de paneles de 100.00 m2= ; luego se considera el valor promedio anual obtenido en cada cantón de la provinci= a e incorporar el efecto de paneles solares de silicio con su respectiva eficie= ncia para determinar el valor teórico de generación eléctrica que se puede entre= gar a la red.

Para cada simulación se ha considerado un sistema estándar básico de generación fotovoltaico, que emplea paneles solares, inversores, protectores, soportes de aluminio, cables solares y cajas para = el manejo de la corriente que se genera. Como primera opción se estimó emplear paneles fotovoltaicos policristalinos de 60 celdas, que registran eficiencia entre 16% al 20%; considerando que este tipo de panel tiene una alta demanda comercial en la actualidad. En la tabla 9 se puede apreciar el valor de generación promedio por cada cantón con una eficiencia estimada del panel d= e un 18%. Se debe mencionar que en las simulaciones se mantiene la misma marca de inversor y resto de implementos para no generar distorsión en las pérdidas = del sistema, tratando en todo momento que solo la variable panel fotovoltaico s= ea la que incida en la diferencia de la energía inyectada a la red.

 

 

Tabla 9

Energía conectada a la red con paneles policristal= inos (kWh)

Generación de electricidad

PORTOVIEJO

MANTA

CHONE

EL CARMEN

JIPIJAPA

MONTECRISTI

Irradiación global horizontal

1,627.8

1,791.8

1,594.1

1,401.1

1,614.6

1,706.9

Perdida por incidencia plano receptor

3.0%=

3.0%=

3.0%=

3.0%=

3.0%=

3.0%=

Perdida factor IAM en global

2.5%=

2.5%=

2.5%=

2.5%=

2.5%=

2.5%=

Irradiación efectiva

1,539.5

1,694.5

1,507.6

1,325.1

1,527.0

1,614.3

Conversión FV (KWh)=

27,710.9<= o:p>

30,501.9<= o:p>

27,137.6<= o:p>

23,851.2<= o:p>

27,485.7<= o:p>

29,057.0<= o:p>

Perdida de FV por irradiancia

0.80%

0.80%

0.80%

0.80%

0.80%

0.80%

Perdida FV por temperatura<= /p>

8.00%

8.00%

8.00%

8.00%

8.00%

8.00%

Pérdida de calidad de modulo

0.70%

0.70%

0.70%

0.70%

0.70%

0.70%

Perdida de desajustes, módulos y cadenas=

2.00%

2.00%

2.00%

2.00%

2.00%

2.00%

Perdida óhmica del cableado=

0.90%

0.90%

0.90%

0.90%

0.90%

0.90%

Energía del conjunt= o (KWh)

24,274.7<= o:p>

26,719.6<= o:p>

23,772.5<= o:p>

20,893.7<= o:p>

24,077.5<= o:p>

25,453.9<= o:p>

Perdida del inversor durante la operación

2.00%

2.00%

2.00%

2.00%

2.00%

2.00%

Perdida en el inversor por el umbral de poten= cia

0.04%

0.04%

0.04%

0.04%

0.04%

0.04%

ENERGIA INYECTADA A LA RED (kWh)

23,779.50

26,174.50

23,287.60

20,467.40

23,586.30

24,934.7

Como un segun= do escenario se ha considerado solo realizar cambios en el tipo de panel fotovoltaico, tomando para esta simulación un panel monocristalino, que normalmente alcanza a nivel de laboratorios una eficiencia mayor que los policristalinos entre 18% al 22%.  Para la simulación que se muestra en la= tabla 10, se considera el valor promedio de generación anual de cada cantón y se estima la conversión con una eficiencia del panel del 20%. Para ambos casos= a pesar de que en los simuladores indican un acimut de cero grados y ángulos = de inclinación entre 30 y 100; para alcanzar la posición optima de captación solar; se estimó en todos los casos con un ángulo de inclinación de 200 y acimut de -1500, lo cual genera pérdidas por incidencia en el plano receptor.

 

 

 

Tabla 10

Energía conectada a la red con paneles monocristal= inos (kWh)

GENERACION DE ELECTRICIDAD<= /b>

PORTOVIEJ= O

MANTA

CHONE

EL CARMEN=

JIPIJAPA<= o:p>

MONTECRIS= TI

IRRADIACION GLOBAL HORIZONTAL

1,627.8

1,791.8

1,594.1

1,401.1

1,614.6

1,706.9

Pérdida por incidencia plano receptor

3.0%=

3.0%=

3.0%=

3.0%=

3.0%=

3.0%=

Pérdida factor IAM en global

2.5%=

2.5%=

2.5%=

2.5%=

2.5%=

2.5%=

IRRADIACION EFECTIVA

1,539.5

1,694.5

1,507.6

1,325.1

1,527.0

1,614.3

Conversión FV (KWh)

30,789.8<= o:p>

33,891.0<= o:p>

30,152.9<= o:p>

26,501.3<= o:p>

30,539.7<= o:p>

32,285.5<= o:p>

Pérdida de FV por irradiancia

0.80%

0.80%

0.80%

0.80%

0.80%

0.80%

Perdida FV por temperatura<= /p>

8.00%

8.00%

8.00%

8.00%

8.00%

8.00%

Pérdida de calidad de modulo

0.70%

0.70%

0.70%

0.70%

0.70%

0.70%

Pérdida de desajustes, módulos y cadenas=

2.00%

2.00%

2.00%

2.00%

2.00%

2.00%

Pérdida óhmica del cableado=

0.90%

0.90%

0.90%

0.90%

0.90%

0.90%

ENERGIA DEL CONJUNTO (KWh)<= /b>

26,971.9<= o:p>

29,688.5<= o:p>

26,413.9<= o:p>

23,215.2<= o:p>

26,752.8<= o:p>

28,282.1<= o:p>

Perdida del inversor durante la operación

2.00%

2.00%

2.00%

2.00%

2.00%

2.00%

Perdida en el inversor por el umbral de poten= cia

0.04%

0.04%

0.04%

0.04%

0.04%

0.04%

ENERGIA INYECTADA A LA RED (kWh)

26,421.67

29,082.83

25,875.07

22,741.58

26,207.01

27,705.18

Como un último escenario se ha considerado un sistema con paneles de silicio de tipo amorf= o, los cuales se caracterizan por su bajo costo y poca eficiencia de conversión energética, los mismos que alcanzan eficiencias teóricas entre un 10% al 14= %. Considerando para la simulación una eficiencia del 12%; y manteniéndose el porcentaje de perdida= en el inversor al convertir la corriente continua a corriente alterna, las perdidas por el tipo de cable estimado y otras perdidas que se muestran en = la tabla 11.

 

Tabla 11=

Energía conectada a la red= con paneles de silicio amorfo (kWh)

GENERACION DE ELECTRICIDAD<= /b>

PORTOVIEJ= O

MANTA

CHONE

EL CARMEN=

JIPIJAPA<= o:p>

MONTECRIS= TI

IRRADIACION GLOBAL HORIZONTAL

1,627.8

1,791.8

1,594.1

1,401.1

1,614.6

1,706.9

Perdida por incidencia plano receptor

3.0%=

3.0%=

3.0%=

3.0%=

3.0%=

3.0%=

Perdida factor IAM en global

2.5%=

2.5%=

2.5%=

2.5%=

2.5%=

2.5%=

IRRADIACION EFECTIVA

1,539.5

1,694.5

1,507.6

1,325.1

1,527.0

1,614.3

Conversión FV (KWh)

18,473.9<= o:p>

20,334.6<= o:p>

18,091.7<= o:p>

15,900.8<= o:p>

18,323.8<= o:p>

19,371.3<= o:p>

Perdida de FV por irradiancia

0.80%

0.80%

0.80%

0.80%

0.80%

0.80%

Perdida FV por temperatura<= /p>

8.00%

8.00%

8.00%

8.00%

8.00%

8.00%

Pérdida de calidad de modulo

0.70%

0.70%

0.70%

0.70%

0.70%

0.70%

Perdida de desajustes, módulos y cadenas=

2.00%

2.00%

2.00%

2.00%

2.00%

2.00%

Perdida óhmica del cableado=

0.90%

0.90%

0.90%

0.90%

0.90%

0.90%

ENERGIA DEL CONJUNTO (KWh)<= /b>

16,183.1<= o:p>

17,813.1<= o:p>

15,848.4<= o:p>

13,929.1<= o:p>

16,051.7<= o:p>

16,969.3<= o:p>

Perdida del inversor durante la operación

2.00%

2.00%

2.00%

2.00%

2.00%

2.00%

Perdida en el inversor por el umbral de poten= cia

0.04%

0.04%

0.04%

0.04%

0.04%

0.04%

ENERGIA INYECTADA A LA RED (kWh)

15,853.00=

17,449.70=

15,525.04=

13,644.95=

15,724.21=

16,623.11=

Conclusiones

·      =    En la presente investigación se analiza el potencial energético solar en la provincia de Manabí, como una opción de fuente primaria para la generación de electricid= ad a nivel comercial, habitacional y empresarial. Este trabajo de investigación plantea que esta fuente de energía puede contribuir al cambio de la matriz energética que busca el país, de acuerdo con las políticas y acciones planificadas para el cumplimento de los objetivos de desarrollo sostenible.= La energía solar   fotovoltaica muestr= a un desarrollo tecnológico que hace viable su instalación en la provincia de Manabí, lo cual coincide con estudios realizados en países de la región. Los casos tomados en las principales ciudades de Manabí indican el alto potenci= al energético de Manta, Montecristi y Portoviejo; aunque los niveles alcanzado= s en las otras ciudades indican que una inversión en este tipo de energía puede = ser viable desde el punto de vista financiero. Estos resultados preliminares también indican la importancia de la decisión administrativa de empresas so= bre la opción de invertir en sistemas fotovoltaicos, los mismos que generan beneficios al ambiente en la generación de electricidad, y que requieren de acciones y políticas empresarial orientadas a la responsabilidad social corporativa, distribuyendo recursos y conocimiento para beneficio de los gr= upos de interés de las organizaciones. La generación de electricidad por medio de paneles fotovoltaicos de Silicio se observa viables desde el punto de vista técnico, apreciándose los valores de energía inyectada a la red que podría generar estos sistemas para beneficio de las organizaciones o familias. Por último, se considera que al existir sectores de la provincia que por su geográfica no logran tener acceso a electricidad, este tipo de sistema es u= na opción viable y segura para proveer de este servicio básico a pequeños y medianos negocios situados en esta región, más aún sectores como el agrícol= a, pecuario y artesanal que en muchos de los casos no pueden contar con electricidad para el desarrollo de sus procesos productivos, generando afectación a su crecimiento económico y de calidad de vida.

Limitaciones=

Esta investigación no es un estudio definitivo sob= re el potencial de la irradiación solar en la provincia de Manabí y su viabili= dad técnica para instalar estos sistemas para la generación de electricidad. El presente trabajo plantea la posibilidad que en la provincia se puede instal= ar sistemas fotovoltaicos para la generación de energía, que puede y debe ser aprovechada por diferentes agentes económicos que tienen limitaciones por su falta de acceso al sistema público de electricidad. Parte de las limitacion= es de este trabajo es que solo se tomó un punto de cada cantón, lo cual debe a= mpliarse para poder generalizar los resultados y de esta manera determinar una viabilidad técnica. De igual manera, a pesar de considerar varias bases de datos, los valores muestran diferencias altas entre las simulaciones, esto indica que se requiere para una mayor generalización de resultados, tomar valores de instalaciones reales situadas en dichos cantones que permitan una mejor estimación energética de la provincia. Así mismo, solo se ha consider= a la viabilidad técnica de la generación de electricidad por medio de un sistema fotovoltaico, sin analizar desde el punto de vista económico el retorno financiero en la inversión de este tipo de sistema; el cual puede requerir fuentes de financiamiento no tradicionales como el crowdfunding (Rugel et a= l., 2017), tradicionales como el sistema financiero y mercado de valores. =

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ISSN: 2602-8085

Vol. 6 No. 1,  pp. 91= – 115 , enero – marzo 2022

 

 

 

 

 

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