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Simulación de la eficacia de ignífugos inorgánicos en la extinción de incendios con CFAST. Caso de un laboratorio quí= ;mico.

 

Simulation of the effectiveness of inorganic fla= me retardants in extinguishing fires with CFAST. Case of a chemical laboratory.=

 

 

Manolo Alexander Córdova Suárez.[1], Danielita Fernanda Borja Mayorga. [2], Edison Patricio Villacres Cevallos. [3] & = Montes Vega Klever Saul.= [4]

 

 

Recibido: 14-01-2021 / Revisado: 19-01-2021 /Aceptado: 13-02-2021/ Publicado: 05-03-2= 021

Abstract.        &= nbsp;           &nbs= p;           DOI:  https://doi.org/10.33262/concienciadigital.v4i1.2.1587  

=
 
Introduction.<=
/span> The use of inorganic flame retardants=
 in sprinkler-type fire systems is an alternative that can help in extingui=
shing uncontrolled fires and protecting high-risk chemical laboratories. Objetives. Extinguishing conditio=
ns were established according to NFPA 13 and UNE 12845 standards and the ef=
ficacy was calculated by comparing the two conditions: use of water and use=
 of inorganic fire retardant, using the Consolidated Model of Fire and Smok=
e Transport (CFAST) and Smokview 7 software. Methodology. It was determined: t=
he level of fire risk according to the UNE 12845 standard, then the operati=
ng conditions under critical operating conditions and maximum work load acc=
ording to the NFPA 13 and UNE 12845 standards and finally the effectiveness=
 of smoke evacuation and reduction was tested of the temperature of the roo=
m by testing the inorganic fire retardant solution with known values ​=
;​of decrease in the heat release curve (HRR) with the CFAST and Smke=
view 7 program. Results. It was determined: extra=
-group 2 risk fire risk level, the maximum surface area per sprinkler is 12=
 m2, the minimum design density is 5mm / min for each sprinkler, the smoke =
saturation improvement time of the site considering the use of water and di=
lution of inorganic flame retardants based on Magnesium Hydroxide Mg (OH) 2=
 at 9% (Pozo Álvarez, 2020) as an extinguishing medium is 37% and a =
48.57% improvement in cooling time is observed , with a pressure of 101,500=
 Pa, an average temperature of 20 ° C in the city of Ambato, an oxygen =
percentage of 15% according to the NFPA 13 and UNE 12845 standards. Conclusion. The application of in=
organic flame retardants Magnesium Hydroxide as a fire extinguishing method=
 results in a 37% improvement in the increase in the time in the removal of=
 pollutants and a 48.57% improvement in the cooling time assumes an improve=
ment in system efficiency according to CFAST.

&= nbsp;

Keywords= : CFAST, smoke, sprinklers, SMOKEVIEW, fires.

 =

Resumen.

 <= /span>

Introducción. El uso de ignífugos inorgánicos en sistemas contraincendios tipo rociadores es una alternativa que puede ayudar en la extinción de fuegos no controlado= s y la protección en laboratorios químicos con alto riesgo. Objetivo. Se estableció las condiciones de extinción según normas NFPA 13 y UNE 12845 y s= e calculó la eficacia por comparación de las dos condiciones: uso de agua y us= o de ignífugo inorgánico, utilizando el software Consolidated Mode= l of Fire and Smoke Transport (CFAST) y Smokview 7. Metodología. Se determinó: el nivel de riesgo de incendio según la norma UNE 12845, luego las condiciones de operación en condiciones críticas de funcionamiento y en carg= a de trabajo máximo según norma NFPA 13 y UNE 12845 y finalmente se probó la eficacia del desalojo de humo y disminución de la temperatura del recinto probando la solución ignífuga inorgánica con valores conocidos de disminución en la curva de liberación de calor (HRR) con el programa CFAST y Smkeview 7. Resultado= s. Se determinó: nivel de ri= esgo de incendio riesgo extra-grupo 2<= /span>, la superficie máxima por rociador es de 12 m2, la densida= d de diseño mínimo es 5mm/min por cada sprinkler,  el tiempo de mejora de saturación = de humo del emplazamiento considerando el uso de agua y de dilución de ignífugos inorgánicos a base de Hidróxido de Magnesio Mg(OH)2 al 9% (= Pozo Álvarez, 2020) como medio de extinción es 37% y = se observa un 48,57% de mejora en el tiempo de enfriamiento, con una presión de 101500= Pa, una temperatura promedio de 20 °C en la ciudad de Ambato, un porcentaje= de oxígeno del 15% según la norma NFPA 13 y UNE 12845. Conclusión. La aplicación de ignífugos inorgánicos Hidróxido de Magnesio como método de extinción de incendios resulta en un 37% de mejora = en el incremento del tiempo en el desalojo de los contaminantes y un 48,57% de mejora en el tiempo de enfriamiento, por los resultados se asume una mejora= en la eficiencia del sistema según CFAST.

 

Palabras claves: CFAST, humo, sprinklers, SMOKEVIEW, incendios.

 

Introducción.

The Los incendios son desastre=
s naturales y en varios casos son inducidos por el hombre. Durante los &uac=
ute;ltimos años han aumentado su frecuencia, causando daños i=
rremediables en vidas humanas y en pérdidas materiales. A la par se =
ha desarrollado la ingeniería de incendios cuyo objetivo es brindar =
maneras de extinción que atenúen estos eventos no deseados qu=
e provocan pérdidas irreparables y daños cuantiosos.(<=
span
lang=3DES-EC style=3D'font-size:12.0pt;line-height:115%;font-family:"Times =
New Roman",serif;
color:black;mso-no-proof:yes;text-decoration:none;text-underline:none'>Pura=
singhe et al., 2021) 
 
La ingeniería de incendios fundamenta su accionar en el=
 uso de métodos de extinción de acuerdo al tipo de incendio y=
 las condiciones que lo permiten, pero estos ensayos y pruebas que predicen=
 el comportamiento del incendio y ayudan a brindar mejores alternativas pre=
ventivas son muy costosas y se demoran en su ejecución por lo que se=
 recurre al uso de software y herramientas informáticas que estimen =
las consecuencias y den una visión del incendio si este ocurriera (C=
ITA). La modelación de incendios fundamenta su accionar en cá=
lculos matemáticos basados en los modelos físicos del evento =
llevados a una discretización de los datos para al final validar los=
 resultados con estudios reales (Cohe=
n et al., 2019).
 
Estos modelos de incendios simulan las condiciones de trabajo =
y calculan temperaturas, concentraciones de contaminantes productos de la c=
ombustión e incluso daño estructural o mecánico de los=
 materiales constructivos pero fundamentalmente existen ciertas aplicacione=
s como Consolidated Model os Fire Growith and Smoke Transport  (Vadl=
amuri y Lilley, 2009) que inco=
rpora sistemas de prestaciones para el control de incendios como splinkers,=
 alarmas y sensores de temperatura que ayudan significativamente en una tom=
a decisiones al momento de evaluar un evento no deseado y saber el comporta=
miento de las capas de temperaturas y el movimiento del humo en cada compar=
timiento de una manera visual (Vadl=
amuri y Lilley, 2010).
Previo a la simulación del incendio el cálculo d=
e las prestaciones representa una parte crucial en la elección del t=
ipo de sistema de extinción y utiliza sus recomendaciones consideran=
do el tipo de nivel de riesgo de incendios que presenta la norma UNE 12845<=
span style=3D'mso-spacerun:yes'>  en sus apartados sobre, dise&=
ntilde;o instalación y mantenimiento de los sistemas de rociadores a=
utomáticos (Rune=
fors et al., 2018). Las con=
diciones de trabajo que requiere el CFAST para la simulación toma en=
 cuenta entre algunos datos: presión atmosférica, temperatura=
 interna y externa, % de oxígeno, datos fisicoquímicos del ti=
po de paredes, techos, puertas, ventanas, pisos, conexiones, aperturas de p=
uertas y ventanas preestablecidas y principalmente el sistema de extinci&oa=
cute;n (Mikh=
ailovsky, 2020). 
El CFAST brinda como resultados finales una tabla de cantidade=
s en intervalos de tiempo seleccionados, además los tiempos de activ=
ación de los sistemas contra incendios colocados en cada recinto. Pa=
ra establecer de manera visual el programa Smokview 7 establece el comporta=
miento de temperaturas, materiales formados en el incendio como productos d=
e combustión y figuras crecientes y decrecientes de los fuegos seg&u=
acute;n se coloquen en los emplazamientos en función del tiempo de l=
a simulación. (Huan=
g et al., 2012)



Este trabajo conlleva a pruebas de comportamiento de las dos c=
apas
de temperatura en el incendio y el desalojo del humo en los
habitáculos   del
recinto estudiado  
considerando una disminución de 8 (Cano=
sa y
Giudice, 2016) en la curva de crecimiento de calor (HRR) de
los materiales que se utilizan como combustibles o mobiliario que ocupa el
personal del  Laboratorio de C=
ontrol
y Análisis de Alimentos de la Universidad Técnica de Ambato. =




Metodolo=
gía



Para el diseñ=
o de
un sistema de protección se calculó las siguientes condicione=
s:



Determinación
del área total del emplazamiento 



Se determinó
dimensiones de largo, ancho y altura, de todas los recintos de LACONAL,
posteriormente se calculó el área total o área de
operación como se muestra en la Tabla 3 considerando las áreas
limítrofes  y áreas de apertura <=
!--[if gte msEquation 12]>Aw de cada dependencia con las
fórmula de la ecuación 1, 2&=
nbsp;
y 3. (Zuri=
ta
Castro, 2020)



Ecuación
1: 



Ecuación
2: 



Donde:















Ecuación
3: 



<=
span
lang=3DES-EC style=3D'font-family:"Times New Roman",serif;mso-fareast-font-=
family:
"Times New Roman"'>Donde:






|






Categorización
del nivel de riesgo en el sector del incendio.



Para establecer las
condiciones de extinción por agua mediante la utilización de
rociadores se definió la clasificación del riesgo del laborat=
orio
según la UNE 12845 y comprobando diferencias con la Norma NFPA 13. S=
e identificó
a LACONAL riesgo leve, riesgo ordinario grupo 1, riesgo ordinario grupo 2,
riego extra-grupo 1, riesgo extra-grupo 2. (Gril=
l,
2018)



Determinación
del caudal total de rociadores



Con el riesgo identificado y el área de diseño se
obtuvo el valor de la densidad de cobertura del rociador y posteriormente se
aplicó la ecuación 4 para el cálculo de caudal de agua=
 de
los rociadores (Saav=
edra
Castro y Rosales España, 2016):



Ecuación 4: 



Donde: =













 





Cálculo del núm=
ero de
rociadores en el área de diseño



Se tomó de referencia la figura 4. de la NFPA 13, consi=
derando_
rociadores convencionales debido a y una presión de 75 psi,  se calculó con la ecuaci&oa=
cute;n
5 el número de rociadores (Will=
is y
Llaja, 2020) así:



Ecuaci&o=
acute;n
5:




Donde:




<=
/o:p>






 



Cálculo del caudal total =
del
sistema



El caudal total del sistema se determinó utilizando la
ecuación 6. así:



Ecuación
6: 



Donde:









 



Determinación del volumen=
 de
agua para la fuente de abastecimiento



Para determinar la
capacidad de la fuente de abastecimiento (MANS=
ILLA,
2014), se utilizó la ecuación 7. as=
í:



Ecuación 7:<=
span
lang=3DES-EC style=3D'font-size:11.0pt;line-height:115%;font-family:"Calibr=
i",sans-serif;
mso-fareast-font-family:Calibri;position:relative;top:5.5pt;mso-text-raise:
-5.5pt;mso-ansi-language:ES-EC;mso-fareast-language:ES-EC;mso-bidi-language:
AR-SA'>=




Donde:



=










 



Simulaci=
ón
con CFAST



Para llevar a cabo l=
a simulación
en CFAST en la pestaña Simulation se detalló ciertos datos co=
mo:
a) Tiempo de simulación en segundos, b) Intervalo de salida de texto=
, c)
Intervalo de salida de la hoja de cálculo, d) Intervalo de salida de=
 vista
de humo, e) Temperatura interior y exterior, humedad y presión.
Subsecuentemente, en la pestaña de Thermal Properties se coloc&oacut=
e;
valores como densidad en kg/𝑚3, conductividad
térmica en kW/ (m °C), calor específico en kJ/ (kg °C=
),
espesor en m y emisividad (adimensional) de cada material de
construcción tomados a partir de características térmi=
cas
de los materiales de construcción de la Norma Ecuatoriana de la
construcción (Port=
illa
et al., 2006) para cada material agregado. Luego en la
pestaña de Compartments se colocó el nombre del recinto, se
añadió la geometría, es decir, el ancho, profundidad,
altura y la posición relativa de los recintos a partir de las
coordenadas X, Y, Z. Además, se señaló las
características de los materiales de construcción de techo,
paredes, suelo y las características de flujo. En esta pestaña
Wall Vents se introdujo de cada compartimento los siguientes parámet=
ros:
a) Sill: Distancia de la apertura al suelo, b) Soffit: Distancia hacia la
altura superior del marco de la puerta o ventana, c) Width: Ancho de la pue=
rta
o ventana, d) Vent offset: Distancia del eje x de la puerta o ventana a la
esquina inferior izquierda del compartimento e) Face: Si la puerta o ventana
está en la pared posterior, frontal, izquierda o derecha, f) Tiempo:
Fracción de apertura de la ventana (Buta=
fuoco
et al.). Posteriormente se establecieron las
características que tendrá la curva de fuego a simular para
objetos como silla tapizada, armario, sofá, aparatos electrón=
icos
y papel aquí se introdujo: a) Compartimento donde se producirá=
; el
incendio, b) Posición X, Y, Z en el recinto del fuego, c) Tiempo en =
el
que inició el fuego, d) Curva HRR (Laca=
sta
Palacio et al., 2019) la cual tiene dos connotaciones un antes pa=
ra
agua y un después para el ignífugo (CITA) e) Se insertó
datos de moléculas de gases combustibles (índices medios mola=
res)
y calor de combustión en KJ/Kg. Finalmente se introdujo los sistemas=
 de
detección y supresión calculados introduciendo: a) Tipo de
dispositivo: Sprinklers, b)Tipo de compartimento: Se seleccionó el
compartimento precargado anteriormente por el usuario, c) Coordenadas:
Ubicación de los sprinklers 23, d) Temperatura de activación:=
 se
utilizó una temperatura de 70 ºC tomada de la norma NFPA13 como=
 se
muestra en la Tabla 8, e) RTI (Perez
Piñas, 2016): Tiempo de respuesta característico =
del
rociador (RTI) en (m s) ^0.5 según la Norma NFPA 13 se utilizó=
; un
valor de 80 (m s) ^0.5, f) Densidad de pulverización incendios: Dens=
idad
de diseño en m/s que será la cantidad de agua capaz de
suministrar el rociador (Catalina & Gonzalo, 2013) determinado a partir=
 de
la Tabla 9 tomada de la norma UNE 12845. 



Resultados=




Simulación
de sistema contra incendios, saturación de humo en el recinto



En
la tabla 1. Se observa la simulación con CFAST 7. del tiempo de
saturación de humo en los recintos donde se activaron los sprinklers
más rápido y más lento que en todos los emplazamientos=
.



Tabla 1. Tiempo de activación de los sprinklers en c=
ada
compartimento




 

  
  
Número de

  
sprinkler<=
o:p>

  		
  
  
Tiempo de saturación de humo sin ign&iacut=
e;fugo

  
(seg)

  		
  
  
Tiempo de saturación de humo con ign&iacut=
e;fugo

  
(seg)

  		
  
  
% de disminuci&oacu=
te;n
  saturación

  
(%)

  		
  
  
 

  		
 

 

  
  
20Administración

  		
  
  
700

  		
  
  
1200

  		
  
  
35

  		
  
  
 

  		
 

 

  
  
4 área
  Asepsia

  		
  
  
700

  		
  
  
1450

  		
  
  
39

  		
  
  
 

  		
 





Nota: Se procedió a=
 la
comparación de los dos escenarios de incendio considerando una
disminución de la cantidad de energía liberada de los materia=
les HRR
en un valor de 8% por el uso del ignífugo inorgánico y un tie=
mpo
de simulación de 9000 segundos. La activación del sprinkler 20
fue a los 18 seg en la administración y 553 seg en el área
aséptica. La superficie máxima por
rociador es de 12 m2, una densidad de diseño mínim=
a de
5mm/min. 



En la
figura 1 se observa la evolución del humo en los recintos en el tiem=
po
máximo de saturación sin ignífugo y con ignífug=
o



 



 













 

  
 

 

  
  3D"Cuadro
 




 









Figura 1. Simulaci&oa=
cute;n
CFAST humo. a) Simulación de
saturación de humo en recinto completo considerando extinción=
 con
agua b) Simulación de saturación de humo en recinto completo =
considerando
extinción con agua



 



Simulación
de sistema contra incendios, perfiles de temperaturas de las capas de produ=
ctos



En
la tabla 2. Se observa la simulación con CFAST 7. del tiempo
transcurrido hasta que se enfría al activarse los medios de control =
de
incendios.



Tabla 2. Tiempo límite hasta que se produce el
enfriamiento




 

  
  
Tiempo hasta enfriamiento sin ignífugo

  
(seg)

  		
  
  
Tiempo hasta enfriamiento con ignífugo

  
(seg)

  		
  
  
% de disminuci&oacu=
te;n
  tiempo de enfriamiento

  
(%)

  		
  
  
 

  		
 

 

  
  
350

  		
  
  
180

  		
  
  
48,57

  		
  
  
 

  		
 





Nota:
Se procedió a la comparación de los dos escenarios de incendio
considerando una disminución de HRR en un valor de 8% por el uso del
ignífugo inorgánico y un tiempo de simulación de 9000
segundos. La capa caliente se observa de color cercano al rojo y la fr&iacu=
te;a
al azul.



En la
figura 2 se observa la evolución de la temperatura en los recintos e=
n función
del tiempo hasta producirse l cambio al enfriamiento.



=
 













 

  
 

 

  
  3D"Cuadro
 




 









Figura 2. Simulaci&oa=
cute;n
CFAST temperatura. a) Simulación=
 de
los perfiles de temperatura considerando agua a los 350 seg. de iniciado el
enfriamiento en el primer caso. b) Simulación de los perfiles de
temperatura a los 350 seg. considerando ignífugos de iniciado el
enfriamiento en el primer caso.



 



Conclusiones



·      =
  
Según valores obtenidos para un área de 264.04 m2 con =
un
caudal total de abastecimiento de 4119.02 L/min, un nivel de riesgo de ince=
ndio
extra-grupo 2 según NFPA 13, se calculó un volumen de abastecimiento de agua de 596645.1 7 L, el
compartimiento más vulnerable y que activa más rápido =
los
sistemas de splinkers (18 seg) en el Laboratorio químico LACONAL es =
el
área de administración.



·      =
  
Se simularon el tiempo de saturación del emplazamiento
considerando el uso de agua y de dilución de ignífugos (Hidróxido de=
 Aluminio
e Hidróxido de Magnesio) como medio de extinción del sistema contraincendios determin=
ado
un 35% de mejora en el incremento del tiempo, así mismo el tiempo de
enfriamiento fue un 48,57% menor que en condiciones normales de
extinción, por los resultados se asume una mejora en la eficiencia d=
el
sistema contra incendios al utilizar ignífugos inorgánicos.



 



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/span>



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at the 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum
and Aerospace Exposition.



Willis, J. J. F. y  Llaja, A. M. V. (2020). PROPUESTA =
DE
GUÍA PARA LA ELABORACIÓN DE UNA MEMORIA DE CÁLCULO DE
SISTEMAS DE AGUA CONTRA INCENDIO. I=
NGENIERÍA:
Ciencia, Tecnología e Innovación, 7(2). 



Zurita Castro, F. B. (2020). Diseño de un sistema contra inc=
endios
mediante la utilización de la herramienta CFAST en el Laboratorio de
Control y Análisis de Alimentos LACONAL. Universidad Técn=
ica
de Ambato. Facultad de Ciencia e Ingeniería en Alimentos   <=
/span>



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PARA
CITAR EL ARTÍCULO INDEXADO.



 






 



Borja
Mayorga, D. F., Córdova Suárez, M. A., Villacres Cevallos, E.=
 P.,
& Klever Saul, M. V. (2021). Simulación de la eficacia de
ignífugos inorgánicos en la extinción de incendios con
CFAST. Caso de un laboratorio químico. ConcienciaDigital, 4(1.2), 17=
6-186.
https://doi.org/10.33262/concienciadigital.v4i1.2.1587



 






 



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El artículo qu=
e se
publica es de exclusiva responsabilidad de los autores y no necesariamente
reflejan el pensamiento de la Revi=
sta Conciencia
Digital.



 



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 Conciencia Digital=
.



 



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[1] G+ Energy-Risks & Engineering Group, Department of Food Science and Engineering, Technical University of Ambato, Ambato-Ecuador, ma.cordova@uta.edu.ec, orcid.org/0000-0001-6786-7926

[2]  Faculty    of    Chemical Engineering, = Higher Polytechnic School of Chimborazo, Riobamba-Ecuador, dborja@spoch.edu.ec, orcid.org/0000-0002-8438-064X

[3] Faculty    of    Engineering, National University of Chimborazo, Riobamba-Ecuador, p= villacres@unach.edu.ec, orcid.org/0000-0001-9518-1278

[4] U= niversity of Guadalajara, Guadalajara-México, = klever.montes9254@alumnos.udg.mx, orcid.org/0000-0002-3573-4018    

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   &nb= sp;            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;         ISSN: 2600-5859<= /p>

        &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;        Vol. 4, N°1.2, p. 176-186, marzo, 2021

 

 Educación ambiental     =             &nb= sp;            =             &nb= sp;           &n= bsp;            = ;            &n= bsp;            = ;            &n= bsp;            = ;             <= /span>Página 8

 

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