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Evaluación del rendimiento en consumo de combustible y emisiones contaminantes del vehículo = segmento A, aplicando la simulación de ciclo IM 240 en la ciudad de Riobamba.

 

Evaluat= ion of the performance in fuel consumption and polluting emissions of the segme= nt A vehicle, applying the IM 240 cycle simulation in the city of Riobamba.=

1

Jorge Oswaldo Molina López

<= /span>

https://orcid.org/0000-0001-7922-4063<= /span>

 

 

Ingeniero Automotriz, Investigador, Facultad de Mecánica

osw= aldo.molina@espoch.edu.ec

2

Javier Milton Solís Santamaria

https://orcid.org/0000-0002-9291-1906<= /span>

 

 

Maestría en Ingeniería Mecánica Mención Sistemas de Transport= e, Escuela Superior Politécnica del Chimborazo (ESPOCH), Facultad de Mecánica

osw= aldo.molina@espoch.edu.ec

3

Ángel Guillermo Masaquiza Yanzapanta.

<= ![endif]>

https://orcid.org/0000-0003-1592-0822<= /span>

 

 

Magister en Diseño Mecánico mención en fabricación de autopartes, Instituto Superior Tecnológico Tungurahua,<= /span>

<= ![endif]>ama= saquiza.istt@gmail.com

4

Juan Carlos Rocha Hoyos

 

https://orcid.org/0000-0003-0660-7199<= /span>

 

 

Ingeniero Automotriz, Escuela Superior Politécnica del Chimborazo (ESPOCH), Facultad de Mecánica.

jua= n.rocha@espoch.edu.ec


 

Artículo de Investigación Científica y Tecnológica

Enviado: 11/05/2022

Revisado: 21/06/2022

Aceptado: 29/07/2022

Publicado:29/08/2022

       &nbs= p;            &= nbsp;         DOI: https://doi.org/10.33262/= ap.v4i3.1.264 <= span style=3D'mso-spacerun:yes'>   

 

 

 

Cítese:

 

 

Molina López, J. O., Solís Santamaria J. M., Masaquiza Yanzapanta, Ángel G., & Rocha Hoyo= s, J. C. (2022). Evaluación del rendimiento en consumo de combustible= y emisiones contaminantes del vehículo segmento A, aplicando la simulación de ciclo IM 240 en la ciudad de Riobamba . AlfaPublicaciones, 4(3.1), 365–388. https://doi.org/10.33262/= ap.v4i3.1.264

 <= /span>

 

 

ALFA PUBLICACIONES, es una Revista Multidisciplinar, Trimestral, que se publicará en soporte electrónico tiene como misió= n contribuir a la   formación de  profesionales competentes con visión humanística y crítica que sean capaces de&nbs= p; exponer  sus resultados  investigativos y científicos en= la misma medida que se promueva mediante su intervención cambios positivos en  la sociedad. https://alfapublicaciones.com  

3Deditorial1.pngLa revista es editada por la Editorial Ciencia Digital (Editorial de prestigio registrada en la Cámara Ecuatoriana de Libro con No de Afiliación 663) www.celibro.org.ec

 

 

 

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

 

Pala= bras claves: vehículo, ciclo de inspección y mantenimiento, mot= or de  encendido provocado, fac= tor de emisión, condición de altura.

 

Resumen

En base a estudios previos de emisiones de gases a nivel mundial, partió el objetivo de análisis de los factores de emisión originados por los combustibles Super y Extra en un vehículo de segmento A; al cual s= e le someterá a pruebas en un dinamómetro, bajó las características de simulación de conducción  IM240, también se utilizó el analizador de gases MAHA, y un recipiente presurizado p= ara evaluar el rendimiento bajo la condición de altura de 2754 msnm de= la ciudad de Riobamba. Una vez estimados los factores de emisión de C= O, HC y NOx para cada combustible (g/km) se realizó el análisis estadístico mediante el software STATGRAPHICS, donde con el análisis de varianza (ANOVA) y el procedimiento de diferencia mínima significativa (LSD) de Fisher. Se determinó que exis= te una diferencia representativa en la generación de CO para ambos combustibles, pero con un comportamiento similar para HC Y NOx con un niv= el de confianza del 95%. Además, el rendimiento del líquido operante es más eficiente con el combustible Super, con un 11% adicional en su autonomía.

 

 

Keywords: <vehicle> <inspection and maintenance cycle)> <ignition engine> <emission factor> <height condition>.

 

Abstract

Based on previous studies of gas emissions worldwide, the objective of analyzing the emission factors caused by Super and Extra fuels in a segme= nt A vehicle started, which will be tested on a dynamometer, lowered the IM240 driving simulation characteristics, the MAHA gas analyzer was also used, = and a pressurized container to evaluate the performance under the condition of 2754 meters above sea level in the city of Riobamba. Once the CO, HC and = NOx emission factors for each fuel (g/km) were estimated, the statistical analysis was performed using the STATGRAPHICS software, where with the analysis of variance (ANOVA) and the least significant difference procedu= re (LSD) Fisher's. It was determined that there is a representative differen= ce in the generation of CO for both fuels, but with a similar behavior for HC and NOx with a confidence level of 95%. In addition, the performance of t= he working liquid is more efficient with Super fuel, with an additional 11% in its autonomy.

 

 

 

Introducción

China, Estados Unidos, Rusia, India y Japón encabezan el ranking en la generación de CO2 a la atmósfera, y representan más del 57% de las 36 gigatoneladas generadas en el mundo en 2016 (Ambientum, 2020). Las Directrices de la OMS sobre la Calidad del Aire publicadas en 2005 ofrecen orie= ntación general relativa a umbrales y límites para contaminantes atmosféricos clave que entrañan riesgos sanitarios. Las Directrices señalan que medi= ante la reducción de la conta= minación con partículas (PM10) de 70 a 20 microgramos por metro cúbico (μg/m) es<= span style=3D'letter-spacing:-2.95pt'> posible reducir en un 15% el número de defunciones relacionadas con la contaminación del aire. Las Directrices se aplican en todo el mundo y se basan en la evaluación, realizada por expertos, de las pruebas ci= entíficas actuales concernientes a: part&ia= cute;culas (PM); ozono (O3); dióxido de nitrógeno (NO2) y dióxido de azufre (SO2), en toda= s las regiones de la OMS.

Una de las más importantes fuentes de emisiones de sustancias nocivas qu= e se encuentran presentes en el aire es el medio de transporte, cuyo daño= , efectos y desventajas no solo af= ectan a la salud de los ciudadanos, sino que incluyen mucho más sobre la calidad del clima. Donde los vehículos de zonas urbanas ocupan el mayor porcentaje de producción de gases contaminantes, incrementándose notoriamente cada año al igual que los peatones. En los últimos = años los vehículos comerciales pequeños = han crecido de forma exponencial y mas= iva en todas las ciudades del Ecuador, de este modo contribuyen al aumento de problemas de contaminación atmosférica como consecuencia <= /span>de sus emisiones de gases contaminantes los cuales se pueden presentar de mane= ra sólida, líquida o gase= osa. La tabla 1 muestra los valores de manera actual (agosto 2020) del número de vehículos presentes en Ecuador, de esta manera el valor perteneciente a automóviles livianos enfocado= s al objetivo de este proyecto es el número de 1.106.957 vehículos.<= /p>

Tabla 1:

Numero de vehículos livianos en Ecuador en el año 2020.

= Número de Vehículos

Automóvil

1.106.957

<= span lang=3DES style=3D'font-size:12.0pt;line-height:150%;font-family:"Times N= ew Roman",serif'>SUV

539.584

Camioneta

612.564<= /span>

= TOTAL

2.259.105

 

De acuerdo al inventario de emisiones en el distrito metropolitano de quito en= el año 2003 se determinó que el 97% de las emisiones de CO es aportado por las fuentes móviles. Por ot= ro lado, el 56% de las emisiones de SO2 tuvieron su origen en fuentes móviles y un 25.7% de las otras fuentes fijas corresponden a los centrales de generaci&oacu= te;n termoeléctrica. Con un 80% de las divisiones de NOx procediendo de fuentes móviles, principalmente de buses y transporte pesado (42%) y particularmente liviano co= mo taxi camionetas (35%) y otra fu= ente significativos son los centrales de generación termoeléctrica= con un (17%) (Flacso-Sede Ecuador, MAE y PNUMA, 2008).

Se= tiene conocimiento que a nivel mundial el gran problema que impacta en los gases de combustibles fósiles incremen= ta de manera abrupta diariamente, en<= span style=3D'letter-spacing:.05pt'> nuestro país tenemos en cuenta que algunas autoridades que tienen conocimientos técnicos o ingenieros pertenecientes a asociaciones de empresas en el parque automotor han mencionado las normativas que deben tener los combustibles y los vehículos que ingresan al Ecuador. Como guía de la investigación, considera el dato técnico las emisiones de gases evaluadas en función de condiciones de altura, es así que existen fuentes estadísticas de los inventarios de emisiones de gases en el distrito metropolitano de Quito, siendo este de 2800 msnm y en la ciudad de<= span style=3D'letter-spacing:-.1pt'> Riobamba poseemos 2754 msnm.

Efectivamente todo esto va de la mano de la modernización diaria en el parque automotor y de la vida cotidiana del= ser humano, cada día existen nuevas tecnologías de transporte autónomo, sin emba= rgo las grandes empresas y monopolios de diferentes países, i= ncluido Ecuador manejan la producción de combustibles<= span style=3D'letter-spacing:2.05pt'> fósiles, dando como resul= tado su economía y generación de fuentes de trabajo que producen las mismas, es por eso que se necesita saber los datos reales cuales son los márgenes de contaminación. El analizar las emisiones de escape del vehículo segmento A, con respecto a un ciclo= de conducción mediante un dinamómetro ciclo IM240, para evaluars= e su rendimiento y margen de contaminación, en la cuidad de Riobamba.

Metodolog&iacu= te;a

Esta investigación se enmarca en un carácter deductivo (Rojas, 201= 5), para la evaluación de ma= nera cuantitativa del comportamiento y generación de las emisiones de gases en contraste a dos tipos de combustible, extra y super, en un vehículo de segmento A, bajo el ciclo de conducci&oacut= e;n IM240. Para el desarrollo experimental del proyecto fue necesario seleccionar el vehículo de prueba seg&uacut= e;n la base de datos de la Asociación de Empresas Automotrices del Ecuador (AEADE) en el año 2019,= en su anuario presenta que la marca más vendida es Kia= y en la ciudad de Riobamba el vehículo con más porcentaje de ventas es el modelo Picanto 1.0 DPi GT-Line 5 puertas (A1).

Una efectiva compresión del alcance y desarrollo de esta investigación, se caracteriza de manera sistemática y ordenara en el siguiente esquema, cuyos proc= esos componen todo el método de adquisición de datos de emisiones fundamentados en el marco teórico de esta investi= gación. Todo el método general se basa en tres etapas; la primera etapa es el montaje del vehículo en el dinamómetro, para lo cual debe cumplir con el anclaje al chasis bajo la norma de seguridad ya mencionada en el marco teórico (capítulo I), la segunda etapa es la instalación de la sonda del analizador de gases MAHA; MET 6.3 en el tubo de escape del vehículo y la última etapa es el proceso de encendido del vehículo bajo las condiciones de conducción del ciclo IM240, obteniendo las composiciones en porcentaje= de volumen de los componentes de las emisiones de gases en función a ca= da segundo, dependientemente a la curva de conducción del motor en su ciclo de conducción, para por consiguiente tabular los estos datos reales en ba= se a cada tipo de combustible (figur= a 2).

Figura 2:


Esquema General para el Desarrollo de la Prueba.

 

Características de los Combustibles:

Los diferentes tipos de combustible utilizados en esta investigación son= de origen fósil, cuya composición va desde hidrocarburos con carbonos C5 hasta C11, usados para generar la energía requerida en la transportación vehicular que emplean motores de ignición por chispa de combustión. En función= a la gasolina extra de la Refinería de Esmeraldas, cuya composició= n aproximada de naftas es: 22% alto octano 93 RON (NAO), 21% tratada 92 RON (NT), 15% reformada 70-92 RON (NR), 15% pesada 54 RON (NP), 8% liviana 73 = RON y 22% otras gasolinas, dando como producto final la gasolina de 87 octanos (EP PetroEcuador, 2019). En la ta= bla 3 se muestra el número de octanos y la densidad de los dos combustibles= en análisis:

 

 

 

Tabla 2:

Densidad de los Combustibles.

Propiedad Combustible=

NTE INEM: 935:2012

EXTRA=

SUPER=

Número de octanos

87 min

88,3

92

Densidad (kg/m3)

= _-_

= 748

= 750 - 775

Técnicamente todo estos datos puntuales, conforman los requisitos establecidos por la Norma = (INEN, 2016b), documento que establece las exigencias que debe tener los combustibles en el país para un acorde funcionamiento en motores de encendido provocado, en la tabla 4 se indican = los requisitos más relevantes de los combustibles utilizados en las pruebas de generación de= gases.

Tabla 3:

Datos de control de los combustibles por Norma ASTM = y INEN.

Propiedades del combustible

Norma

Gasolina 87 Octanos

Gasolina 92 Octanos

Norma INEN:935

Número de Octanos

ASTM D2699

88,3

92

87 min.

Curva de destilación

 

 

 

= ASTM D88

-

-

-

T10-10% evap. °C

50

54

70 max.

T10-50% evap. °C

99

105

77-121

T10-90% evap. °C

163

168

189 max.

Residuos %

98,5

98,8

98 min.

Presión vapor Reid, Kpa

ASTM D4953

58,6

62

60 max.

Corrosión a la lámina de cobre (3h at 50°C)

 

ASTM D130

 

1

 

1

 

1

Contenido de azufre (ppm)

ASTM D7220

169

-

650 max.

Contenido de gomas (mg/cm3)

ASTM D381

1

1

3     &nbs= p;  max.

Condiciones Atmosféricas:

El lugar donde toma desarrollo este proyecto es en la ciudad Riobamba (geografía en condicione= s de altura), de ahí parte las referencias para la fuente de datos, ubica= do según su altitud por encima d= e los 2500 msnm, muy similar a la cuidad de Quito. Cuyas características= atmosféricas se señalan en la tabla 5.

 

Tabla 5:

Condiciones Atmosféricas de la cuidad de Riobamba.

Condición Atmosférica

valor

unidad

Presión Atm.

102500

Pa

 

Temperatura

17

°C

 

Humedad

60

%

 

Altura

2754

m

 

Velocidad del viento

15

Km/h

 

 

= Características del Vehículo de Prueba:

En la tabla 6, se describen los datos particulares de la ficha técnica = del ejemplar, el cual cumple con las especificaciones de un auto de segmento A, con inyección electrónica <= /span>multi punto, además que posee un manteniendo efectivo, con un correcto cambio<= span style=3D'letter-spacing:-.55pt'> de aceite, filtro de aire y gasolina, buj&iac= ute;as de encendido e inyectores en perfecto estado, siendo considerado este proceso preventivo como un requisito fundamental para le ejecución de las pruebas dinámicas.

Tabla 6:

Datos Técnicos A1.

Picanto 1.0 DPi GT-Line 5 Puertas

Combustible:

<= span lang=3DES style=3D'font-size:12.0pt;line-height:115%;font-family:"Times N= ew Roman",serif'>Gasolina

Potencia:

67 CV

Caja:

<= span lang=3DES style=3D'font-size:12.0pt;line-height:115%;font-family:"Times N= ew Roman",serif'>Manual

Puertas:=

5

Cilindrada:

<= span lang=3DES style=3D'font-size:12.0pt;line-height:115%;font-family:"Times N= ew Roman",serif'>998

CO2:

100 g/km

# Cilindros:

<= span lang=3DES style=3D'font-size:12.0pt;line-height:115%;font-family:"Times N= ew Roman",serif; mso-font-width:99%'>3

Sobrealimentado:

Par:

<= span lang=3DES style=3D'font-size:12.0pt;line-height:115%;font-family:"Times N= ew Roman",serif'>98 Nm

Potencia:

49 KW

Aceleración:=

<= span lang=3DES style=3D'font-size:12.0pt;line-height:115%;font-family:"Times N= ew Roman",serif'>(0-100) =3D14.60 s

Velicad Max:

161 km/h

Deposito C.

<= span lang=3DES style=3D'font-size:12.0pt;line-height:115%;font-family:"Times N= ew Roman",serif'>35 litros

Consumo Urbano:

0.0 l/100 km

Tabla 6:

Datos Técnicos A1. (continuación)

Picanto 1.0 DPi GT-Line 5 Puertas

Consumo Medio:

<= span lang=3DES style=3D'font-size:12.0pt;line-height:115%;font-family:"Times N= ew Roman",serif'>0.0 l/100 km

Consumo Carretera:<= /p>

0.0 l/100 km

Batalla:=

<= span lang=3DES style=3D'font-size:12.0pt;line-height:115%;font-family:"Times N= ew Roman",serif'>2400 mm

Ancho:

1595 mm

Peso/Masa Max:

<= span lang=3DES style=3D'font-size:12.0pt;line-height:115%;font-family:"Times N= ew Roman",serif'>1400 kg

Largo:

3595mm

 

Protocolo IM240:

Es un proceso que utiliza un dinamómetro con un ciclo de tipo transitor= io para medir y registrar las emisiones de vehículos livianos en movimiento, pero ante las pruebas= ejecutadas no en función de velocidades constante, más bien con un ciclo de recorrido de 3.1km, sometiéndoles a aceleraciones y desaceleracion= es. Este protocolo se divide en dos fases, la primera con los primeros = 505 segundos en una etapa denominado período transitorio de primer ciclo con arranque en frío y por consiguiente se efectúa una parada de 10 minutos para seguir con una nueva prueba, llamada fase 2 en un arranque en caliente  (Rojas y Argoti, 2015).

De acuerdo al diagrama base del ciclo de prueba (grafico 2) se obtiene los dat= os en la tabla 7, establiendo un recorrido de acuerdo a una velocidad en función del tiempo ejecutada en una fuente mó= vil.

Tabla 7-1:

Características de manejo de la prueba IM-240

Tiempo

total, en ralentí

% en ralentí del

tiempo total= de la prueba<= /b>

 

Velocidad media(km/h)<= /p>

Velocidad promedio

en movimiento (km/h)

Velocidad

máxima (km/h)

11

4,58

30

49

91

 

Protocolo de Pruebas Dinámicas de Inspección y Mantenimient= o ciclo IM240:

El ciclo IM240 seleccionado, consta de pruebas dinámicas de inspección y mantenimiento (figura 3), realizadas en un Dinamómetro Dynocom, FX500 (ANEXO G), cuyas pruebas duran alrededor de 240 segundos con una ruta aproximadamente de 3 km a una velocidad promedio 47.3 km/h y una velocidad máxima de 91 km/h (Rocha-Hoyos et al., 2018).

Figura 3:

3D"Qué

Esquema de toma de muestras, Dinamómetro.

 

Los resultados se analizaron bajo el NT INEN 2204, sobre los límites permitidos de emisiones produci= das por fuentes móviles terrestres a gasolina, evaluando como gases ponderables al CO y HC (Rocha-Hoyos et al., 2018).

Por consiguiente, se despliega todos los pasos que conforman el procedimiento general de obtención de emisi= ones de gases mediante una prueba dinámica Verificar que el Sistema de Escape (original), f&ia= cute;sicamente no posea perforaciones ni oxidación.=

Pasos a seguir: Verificar que la presión de los neumáticos sea la correcta, según f= abricante; Verificar que el automóvil posea filtro de aire, gasolina y componen= tes del sistema de inyección efectivos; Colocar el combustible específico para cada prueba en el tanque original del vehículo; Realizar el anclaje del vehículo en el Dinamómetro AWD-5000-FX; Instalar y colocar el analizador de gases MAHA, MET 6 en la punta de la salida de los gases; Encender el vehículo y calentar hasta que alcance una temperatura de operación (95° C); Revisar que los accesorios del vehí= ;culo estén desactivados; Instalar= un escáner automotriz en el puerto OBD2 para obtener el PID del sistema de inyección; In= gresar los datos técnicos en el dinamómetro y analizador; Iniciar el ciclo de conducción IM240; Grabar los datos según su unidad de la composición de los gases de escape; Repetir el procedimient= o general para cada tipo de combustible. Nota: Se realizaron<= span style=3D'letter-spacing:1.45pt'> tres pruebas de cada tipo de combustible, para determinar= si existe alguna diferencia significativa= en la generación de emisiones de gases.=

Equipos utilizados en la evaluaci&= oacute;n de gases:

La tecnología para el análisis de emisiones en = esta investigación se indica<= span style=3D'letter-spacing:.05pt'> en la siguiente tabla 8:

 

 

 

 

Tabla 4:

Equipos utilizados para el análisis de Gases.

= Equipo

Característi= cas

Función

Analizador    de gases

<= span lang=3DES style=3D'font-size:12.0pt;line-height:115%;font-family:"Times N= ew Roman",serif'>MAHA, MET   6.3

<= span lang=3DES style=3D'font-size:12.0pt;line-height:115%;font-family:"Times N= ew Roman",serif'>serie # 50362

Medición de concentraciones de gases (CO2, CO, NOx, HC)

 

Dinamómetro d= e Chasis

 

DYNOCOM AWD- 5000-FX

 

Simulación del ciclo IM240

 

Recipiente Externo Presurizado

 

<= span lang=3DEN-US style=3D'font-size:12.0pt;line-height:115%;font-family:"Time= s New Roman",serif; mso-ansi-language:EN-US'>LIQUI MOLY, Jet

<= span lang=3DEN-US style=3D'font-size:12.0pt;line-height:115%;font-family:"Time= s New Roman",serif; mso-ansi-language:EN-US'>Clean Plus

Suministro de combustión bajo presión específica.

 

Estimación de Factores de Emisión de Gases:

Se establece como base el modelo simplificado de la combustión aire combustible, con el cual se determina las variables dependientes e independiente= s del experimento. Los valores que se determinan experimentalmente son las concentraciones de volumen expresadas en (%) de NO, HC, CO y CO2.

El análisis dinámico del comportamiento de los gases de escape en los vehículos se expresa en la Ecuación 1, las variables a, b, c, d, e, f y m corresponden a coeficientes estequiométricos desconocidos y determinados por mol de combustible consumido. El balance de masa para el carbono se puede escr= ibir como la Ecuación 1 (Llanes Cedeño et al., 2018; Frey y Eichenberger, 19= 97).

𝐶𝐻𝑦 + 𝑚 (0.21 𝑂2 + 0.79 𝑁2) 𝑎𝐶𝑂 + 𝑏𝐻2𝑂 + 𝑐𝐶3𝐻6 + 𝑑𝐶𝑂2 + 𝑒𝑁2 + 𝑓𝑁𝑂&nb= sp;       (1)

 Donde cada termino corresponde a:

m =3D moles de aire consumido por= mol de combustible consumido. a = =3D moles formados de 𝐶𝑂 por mol de combustible consumido.

b =3D moles formados de 𝐻2𝑂 por mol de combustible consumido. c =3D mo= les formados de 𝐶3𝐻6 por mol de combustible consumido. d =3D = moles formados de 𝐶𝑂2 por mol de combustible consumido. e =3D moles formadas de 𝑁2 por mol de combustible consumido.

f =3D moles formados de 𝑁𝑂 por mol de combustible consumido.

Al ser el CO2 el gas predominante, en los residuos de combustión se pretende relacionar este gas co= n el resto de residuos que son indispensables en la relación de este estudio, para tal se presenta las Ecuaciones 2, 3, 4 y 5, según <= /span>(Caiza y Portilla, 2011; Llanes Cedeño et al., 2018). Del<= span style=3D'letter-spacing:.05pt'> mismo modo mediante el trabajo que se realiz= a con el analizador MAHA, obtenemos<= span style=3D'letter-spacing:-.65pt'> datos en cada segundo de todo el periodo del ciclo de conducción, en contraste de una base de volumen de todos los resultados analizados en la combustión, estos vínculos preliminares se aplican para obtener la porción de 𝐶𝑂2, indicada en la Ecuación 5 (Llanes Cedeño et al., 2018):=

1 =3D 𝑎 + 3𝑐 + 𝑑&nb= sp;            =             &nb= sp;            =      (2)

𝑎 =3D 𝑑 𝑅𝑐ү= 00;      = ;            &n= bsp;            = ;            &n= bsp;   (3)

𝑐 =3D 𝑑 𝑅𝐻Ү= 62;      = ;            &n= bsp;            = ;            &n= bsp; (4)


𝑑 =3D=          1

𝑅𝑐𝑜+3𝑅𝐻𝐶+1

         Donde cada termino corresponde a:

𝑅𝑐ү= 00;=3D relación de CO respecto a= 𝐶𝑂2 en porcentaje (%).

𝑅𝐻Ү= 62; =3D= relación de HC respecto a 𝐶𝑂2 en porcentaje (%).

 

(5)


Bajo el seguimiento de la metodología de la investigación base mencionada en el inicio de este apartado, por medio de la Ecuación 6, se determina el factor de emisión (𝐹𝐸𝑖) medida en gramos de contaminant= e por kilómetro simulado.


𝐹𝐸=3D   &nbs= p; 𝑅𝑖        &time= s;    𝑀𝑊𝑖       × ρ× 𝑐. 𝑐     &nb= sp;      (6)


= 9894;      &= nbsp;    𝑅𝐶𝑂+3𝑅𝐻Ү= 62;+1 𝑀𝑊𝑐𝑜𝑚𝑏 𝑐𝑜= ;𝑚𝑏

 

 

 

Resultados y Discusión:

Resultados de las emisiones contaminantes:

En la gráfica 3 se muestra los resultados de las pruebas referentes a l= os gases de emisiones en funci&oac= ute;n al combustible extra y super, cuyos valores fueron proporcionados por el software los cuales son más fáciles de analizar en el instante de generación de cada contaminante presente en la combustión del motor. Referente al gas CO para extra se observa una variación de las oscilaciones en los primeros segundos de cada prueba y en el paso del tiempo decrece hasta val= ores entre 0.5 % y 1%, además la tendencia de los porcentajes en función a la velocidad del ciclo de conducción tiene el mismo comportamiento en las tres pruebas realizadas. También se observa un análisi= s de las partes por millón de= l gas de escape HC para combustible extra y super, en referencia a extra y la velocidad media 30-40 km/h presenta una inestabilidad en los primeros 120 s de cada prueba= y en el resto de tiempo se aprecia un comportamiento estable en función a= l incremento de la velocidad. El comportamien= to del NO describe la misma tendencia que el gas HC, es decir un comportamiento inestable a una velocidad media<= span style=3D'letter-spacing:-.5pt'> y un comportamiento estable en el proceso de alcanzar una velocidad máxi= ma para combustible extra, de igual manera la diferencia del comportamiento de este gas CO2 con estos dos combustibles= tienen un impacto directo en la cali= dad del combustible. Y finalmente el valor de lamba se debe acercar a 1, debido a que es el reflejo de una mezcla ideal tanto de un porcentaje de combustible y de aire requerido por el motor. En la figura 3 el valor de A1E para lamba= fluctúa entre 0.9 - 1.2 y para A1S entre 0.9 – 1.3.

Grafica 1:


Comportamiento de Emisiones.

 

 

Resultados del Consumo de Combustible:

La elaboración del cálculo bajo las medidas del consumo en litro= s al inicio y al final de cada prueb= a y el cálculo de la densidad se ven reflejados en los ANEXOS I y ANEXOS J de esta investigación. En la tabla 10 se presentan los promedios de dichas mediciones y bajo el reco= rrido de 8760 metros también se presenta el rendimiento de cada prueba en<= span style=3D'letter-spacing:.05pt'> km/lt.

 

 

 

 

 

 

 

 


Tabla 10:

Valores Promedios de consumo y rendimiento A1E y A1S.

 

EXTRA

SUPER

Medición 1

Medición 2

Medición 3

Promedio=

Medición 1

Medición 2

Medición 3

Promedio=

Consumo en litros

 

0,40

 

<= span lang=3DES style=3D'font-size:12.0pt;line-height:150%;font-family:"Times N= ew Roman",serif'>0,400

 

<= span lang=3DES style=3D'font-size:12.0pt;line-height:150%;font-family:"Times N= ew Roman",serif'>0,377

 

<= span lang=3DES style=3D'font-size:12.0pt;line-height:150%;font-family:"Times N= ew Roman",serif'>0,390

 

<= span lang=3DES style=3D'font-size:12.0pt;line-height:150%;font-family:"Times N= ew Roman",serif'>0,325

 

<= span lang=3DES style=3D'font-size:12.0pt;line-height:150%;font-family:"Times N= ew Roman",serif'>0,360

 

0,360

 

<= span lang=3DES style=3D'font-size:12.0pt;line-height:150%;font-family:"Times N= ew Roman",serif'>0,348

 

 

EXTRA

SUPER

Rendimiento

Medición 1

Medición 2

Medición 3

Promedio=

Medición 1

Medición 2

Medición 3

Promedio=

(Km/lt)

22,18

21,90

23,24

22,437

26,95

24,33

24,33

25,206

 

Discusión de resultados en los factores de emisión:

Una vez establecida la fuente de datos con la respectiva conversión de porcentajes de volumen (%V), partes por millón ppm a gramos sobre kilómetro (g/km). Para determinar la existencia entre los grupos experimentales de una diferencia significativa, = siendo está la hipó= tesis principal para el análisis = estadístico y teniendo en cuenta una hipótesis nula al no poseer alguna diferencia, en cuanto a los factores de emisión se aplica el análisis ANOVA.

Se descompone la varianza de CONCENTRACIONES(g/km) de A1S Y A1E en dos componentes: un componente = entre grupos y un componente dentro de grupos. Puesto que el valor-P de la prueba-F es menor que 0,05, existe una diferencia estadísticamente significativa entre la media de CONCENTRACIONES(g/km) entre un nivel de F EMISI= ONES y otro, con un nivel del 5% de significación. De esta maner= a se rechaza la hipótesis nula mediante este análisis de varianzas= , descartando que entre las medias de concentraciones en (g/km) no exista variación alguna. Para a= mpliar y determinar cuáles medias son significativamente diferentes de otra= s, se aplica el método de P= ruebas de Múltiples Rangos, denominada LSD (Least Significant Difference).

Esta tabla 12 se aplica un procedimiento de comparación múltiple p= ara determinar cuáles medias= son significativamente diferentes de otras. La mitad inferior de la salida muestra las diferencias estimadas entre cada par de medias. El asterisco que se encuentra al lado del par de comparación CO (g/km) indica que ese par muestran diferenc= ias estadísticamente significativas con un nivel del 95,0% de confianza. No existen diferencias estadísticamente= significativas entre aquellos<= span style=3D'letter-spacing:-.55pt'> niveles pertenecientes a A1S Y A1E para HC y NOx (g/km).

Tabla 12:

Pruebas de Múltiple Rangos para CONCENTRACIONES.

F EMISIONES

Casos

Media

Gru= pos

Homogéneos<= /b>

2 A1S FHC

3

0,0804798

X

2 A1E FHC

3

0,108964

X

3 A1E FNOX

3

2,24375

X

3 A1S FNOX

3

2,25721

X

1 A1S FCO

3

3,31711

X

1 A1E FCO

3

4,80412

X

Contraste

Sig.

Diferencia

+/- Límites

1 A1E FCO - 1 A1S FCO

*

1,48701

0,458385

2 A1E FHC - 2 A1S FHC=

 

0,0284846

0,458385

3 A1E FNOX - 3 A1S FNOX

 

-0,01346

0,458385

 

 
 

 

 

 

 

 


Grafica 6:

Factores de Emisión del Ciclo IM-240.

 

 

 

 

 

 


Estos datos estadísticos tienen igual comportamiento con los resultados de= las investigaciones (Llanes Cedeñ= o et al., 2018) y (Calero et al., 2018) , donde en base al mismo análisis Anova y Fisher, no presentan cambios mínimos en relación de A1S y A1E pa= ra factores de HC Y NOx, a pesar que las condiciones de campo donde se realizó la investigaci&o= acute;n de Calero et al,. (2018) fue ejecutada de manera on-board , pero coinciden<= span style=3D'letter-spacing:.05pt'> que el factor FCO, posee una variación de la diferencia de esta emisión de gas presente en los valores de A1S y A1E de FCO de manera opuesta, es decir en este proyecto de investigación efectuada con una altitud de 2754 metros (m) el= FCO de A1E es mayor que el FCO de A= 1S. Contrario a lo que sucede en (Llanes Cedeño et al., 2018) donde el F= CO de A1E es menor que el FCO de A1S, e= stas diferencias se sustentan con el cambio de altitud 2850 metros (m), cilindraje del motor (999cc – 1.6cc), humedad, valor= de lambda muy cercano a 1 para pruebas dinámicas (Rocha-Hoyos et al., 2018).

En la investigación (Guzmán et al., 2018) los factores de emisión de CO con A1E ba= jo los parámetros de condición de altura (2850 msnm), presión atmosférica (72852 Pa) p= ero diferente ciclo de conducción, presentan comportamientos similares a= los factores de emisiones obtenido= s en esta investigación, es decir que el factor de emisión CO para= combustible súper es menor en consideración que CO para combustible extra, teniendo este último factores ascenden= tes. No obstante, para los factores de HC y NOx no existe diferencia nota= ble respecto a la investigaci&oacut= e;n citada.

En estudios realizados con gasolina extra y mezclas con biocombustibles, alcoh= oles y etanol (Portilla y Campuzano, 20= 15; Freire Romero, 2013; Chalá y Ñacato, 2008; Caiza et al., 2019) , respecto a los factores de emisión se puede argumentar que el comportamiento es similar a los fact= ores de emisión CO obtenidos en esta investigación, mientras que los factores de emisión de HC y NOx no existe diferencia notable para A1S y A1E. Esto relaciona las conclusion= es presentadas en la investigación (Lapuerta et al., 2006), en dónde se menciona que la altitud sobre el n= ivel del mar produce efectos en la p= resión y temperatura atmosférica encontraste a las concentraciones de oxígeno en el aire y la composición de la me= zcla estequiométrica del motor.

<= span lang=3DES style=3D'font-size:12.0pt;line-height:115%;font-family:"Times New= Roman",serif'>Discusión de resultados del consumo de Combustible:

El análisis ANOVA descompone la varianza de CONSUMO en dos componentes:= un componente entre grupos y un comp= onente dentro de grupos. La razón-F, que en este caso es igual a 372,439, es el cociente entre el estimado entre grupos y el estimado dentro- de-grupos. Puesto que el valor-P de la prueba-F es menor que 0,05, existe una diferencia estadísticamente significat= iva entre la media de CONSUMO entre un nivel de CICLO IM 240 y otro, con un nivel del 5% de significación. Esta tabla 14 = se aplica un procedimiento de comparación múltiple para determin= ar cuáles medias son significativamente diferentes de otras. La mitad inferior de la salida muestra las diferencias estimadas entre cada par de medias. El asterisco que se encuentra al lado de los 2 pares (c.c - 240s –= c.c - 720s) indica que estos pares muestran diferencias estadísticamente significativas con un nivel del 95,0% de confian= za. Por otro lado, no existen diferencias = estadísticamente significativas entre aquellos = niveles pertenecientes a c.c - 480 segundos.

 

Tabla 14:

Pruebas de Múltiple Rangos para CONSUMO por CICLO IM 240.

 

CIC= LO IM 240

Cas= os

Med= ia

Grupos Homogéneos

1 A1S 240s

3

0,101667

X<= /o:p>

1 A1E 240s

3

0,139<= /span>

X

2 A1S 480s

3

0,241667

X

2 A1E 480s

3

0,259<= /span>

X<= /o:p>

3 A1S 720s

3

0,348333

X

3 A1E 720s

3

0,390667

X

Contraste

Sig.

Diferencia

+/- Límite= s

1 A1E 240s - 1 A1S 240s

*

0,03733= 33

0,0180451

2 A1E 480s - 2 A1S 480s

 

0,0173333

0,0180451

3 A1E 720s - 3 A1S 720s

*

0,04233= 33

0,0180451

 

 
0,4

 

0,35

 

3D"Cuadro0= ,3

 

0,25

 

0,2

 

0,15

 

3D"Cuadro3D"Cuadro3D"Cuadro3D"Cuadro3D"Cuadro3D"Cuadro0= ,1

 

 

 

 

 

Grafica 8: Consumo en Litros (240s - 480s - 720s).

 

Todo estos análisis apuntan que el consumo con gasolina super A1S es menor que el consumo con gasolina sup= er A1E, tal como se menciona a continuación: “El motor consumió menos combustible en= la ruta con la gasolina Súper con 0.842 l, en cambio consumió más combustible con la mezcla de gasolina Súper 50%V con Extra 50%V, 1.202 l, la mezcla de gasolina Súper 70%V con Extra 30%V tuvo un consumo similar a la gasolina Súper, y la Extra un valor intermedio con 0.967 l”, (Guzmán et al., 2018). Fundamentos que se justifican que a pesar que la relación entre estas dos investigaciones es efectuadas= de manera dinámica y en ruta, cumplen con parámetros de estudio similares al consumo de A1S y A1E.=

Por otro lado y en relación a los estudios presentado por: (Portilla y Campuzano, 2015; Freire Romero, 2013), se muestra que los resultados del consumo de dichos combustibles modificados presentan result= ados opuestos a los resultados de consumo obtenidos por A1S y A1E en esta investigación, a consecu= encia del ciclo de conducción IM240, calidad del combustible y altitud dónde se ejerció = la prueba. Referente a la investigación elaborada por (Guzmán et al., 2018) donde realizaron pruebas din&aacu= te;micas pero con un protocolo de velocidad diferente, concuerdan los resultados del consumo con esta investigación, de tal manera el combustible extra genera más consumo que el<= span style=3D'letter-spacing:-.1pt'> combustible súper.=

Conclusiones:

·      =    Los porcentajes de componentes dañinos correspondientes a cada tipo de combustible con parámetros de un ciclo de conducción IM240 en condiciones= de altura mayor a 250msnm (Riobamb= a); mismas que nos permite concluir que los factores de emisiones de CO, emisiones de HC y emisiones NOx= con generación de combustible super (A1S - 93 octanos) se obtuvo un valor máx. 3.509 (g/km), 0.083 (g/km) y 2.329 (g/km) respectivamente, representando un= comportamiento más bajo y más estable que las emisiones generadas por el combustible extra (A1E - 87 octanos) que presenta valores máx 5.429 (g/km), 0.111 (g/km) y 2.317 (g/km) respectivamente,= es decir que el trabajo efectuado por un motor de encendido provocado de segmento Tipo A con el combustible super es menos contaminante atribuyendo este aná= lisis a la calidad del combustible.

·      =    La generación de gases de escape para cada muestra del vehículo tipo  (A1), se obtuvo mediante la simulación del ciclo de conducción; inspección y mantenimient= o IM240, a través del dinamómetro DYNOCO FX5000 donde se verificó el mismo cambio de marcha y velocidad promedio en cada instante durante todo el periodo de la prueba, resaltando que por estándares de fiabilidad<= span style=3D'letter-spacing:-.2pt'> y estabilidad, ocasionadas por las condiciones y parámetros en el campo de generación de emisiones. Por otro lado, un parámetro específico que justifico de manera  real la ejecución del= mismo protocolo en todas la pruebas fue el consumo de combustible, donde cada valor del líquido operante respect= ivo (S E) en función del tiempo (240 480 -720 segundos) tiene una tendencia de proporcionalidad homogénea igu= al, considerando el primer valor obtenido de cada prueba de 0.13 (l) y 0.11(l) como el incremento de consumo entre cada muestra, de esta manera se concluye q= ue el protocolo fue el mismo en cada prueba de la investigación.

·      =    A través del análisis estadístico ANOVA para factores de emisiones de las = tres variables y consumo de los dos combustibles (3 casos), se concluye que existe una diferencia signi= ficativa en el análisis de las varianzas y a través d= e las pruebas de múltiples rangos, denominada LCD (Least Signi= ficant Difference) de Fisher, se determinó que la diferencia signi= ficativa de 1.48701* (g/km) se encuentra en el grupo homog&eacu= te;neo perteneciente al factor CO de A1S &#= 8211; A1E. Caso contrario sucede con la existencia de una diferencia mínima descartable de 0.028 (g/km) y -0.= 1346 (g/km), pertenecientes a los gr= upos homogéneos de HC y NOx de A1S – A1E (tabla 3-3). Del mismo modo dentro de los grupos homogéneos del consumo de combustible, se evidencio en relació= ;n al tiempo transcurrido en cada prueba (240 - 480 -720 segundos) que existe una diferencia significativa de 0.037 (l), 0.017 (l= ) y 0.042 (l), determinado un mayor consumo para A1E (extra) y menor consumo para A1S (super).

 

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3Dedito=

 

 

 

El artículo queda en propiedad de la revista y, por tanto, su publicación parcial y/o tot= al en otro medio tiene que ser autorizado por el director de la Revista Ciencia Digital.

 

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