Fighting the spread of pathogens in passenger …...2020/08/04  · Fighting the spread of pathogens...

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Fighting the spread of pathogens in passenger aircraft cabins: an approach using computer simulations

Presented byValerio Viti, PhDKishor RamaswamyAnsys, Inc.

ContributorsKringan Saha, PhDMuhammad Sami, PhDOmkar ChamphekarMatthieu PaquetWalt Schwarz, PhD

Marc Horner, PhDAkira FujiiVivek KumarAleksandra Egelja-Maruszewki, PhD

Kishor Ramaswamy

Manager Application Engineer,Ansys, Inc.

Technical panel

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Valerio Viti, PhD

Aerospace and Defense Industry Lead,Ansys, Inc.

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Webinar outline

• Introduction‐ Coronavirus: the basics

• The Ansys solution to help reduce the spread

• Airliner cabin case studies:

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Webinar outline

• Introduction‐ Coronavirus: the basics

• The Ansys solution to help reduce the spread

• Airliner cabin case studies:

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Coronavirus – A Highly Contagious Airborne Disease

• The current global pandemic caused by COVID-19 has impacted people around the world and has caused many industries to come to a halt due to the risks of transmission.

• One key reason for the pandemic is the highly contagious nature of the virus particles. The three primary routes of coronavirus transmission are:‐ Airborne particles‐ Droplets from a cough or sneeze‐ Touching a surface with infected particles

• Air travel in particular has been greatly affected by the pandemic because of:‐ close proximity of passengers in an enclosed environment and ‐ the relatively long duration of flights

Develop best-practices and solutions for new-normal

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Multiple solutions will be required to ensure our safety

• All routes of transmission will have to be considered as there is no single solution to disinfect the air we breathe and the surfaces we touch

HVAC in transportation systems will need to be studied and optimized

Surface disinfection via mobile or installed UV systems or sprays

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Multiple solutions will be required to ensure our safety

• All routes of transmission will have to be considered as there is no single solution to disinfect the air we breathe and the surfaces we touch

HVAC systems in public spaces will need to be studied and optimized

Surface disinfection via mobile or installed UV systems or sprays

Computer simulation can provide guidanceHigh-fidelity, physics-based engineering analysis can help optimize the

design and operation of existing ventilation systems as well as UV disinfection system of air and surfaces.

Ansys solution for pathogens neutralization in an enclosed environment

Cabin HVAC System- Analyze flow patters- Minimize recirculation- Optimize vent operation- Minimize spread of

pathogens through air via scrubbing

UV Sterilization- Use UV light to sterilize

recirculating air in HVAC- Design system for efficient

surface disinfection- Ensure proper dosage to

neutralize virus load

Spray disinfection- Spray formation- Evaluate spray dispersion and coverage- Optimize transfer efficiency via electrostatics

PPE effect- Cough/sneeze droplets suppression- Detail deposition pattern- Dispersion

Case studies

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Cabin HVAC system studies

Disinfection of cabin surfaces and HVAC air via UV light

Disinfection of cabin via electrostatic sprays

Case studies

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Cabin HVAC system studies

Disinfection of cabin surfaces and HVAC air via UV light

Disinfection of cabin via electrostatic sprays

Example of problem setup for CFD analysis: air cabin

Inlet VentsVin = 1 m/s

Outlet Vents (On Both Sides)Pout = 0 Pa (Gauge)

Outlet (Door)Pout = 0 Pa (Gauge)

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Case 1: cough simulation without masks

• Simulation set up with two people coughing in the cabin

• Cough times are staggered

• Coughing parameters are same for both the coughs‐ Rosin Rammler droplet size distribution with a min size: 2 mm,

max size: 75 mm, mean size: 20 mm

‐ Cough velocity: 11m/s directed straight outward from mouth

‐ Cough spray modeled as water, using a cone injection with a cone angle of 24o

‐ Mass flor rate of cough: 1.95e-3 kg/s

‐ DPM simulation solved in a frozen air flow field

Ref: Bourouiba, L., Dehandschoewercker, E., & Bush, J. (2014). Violent expiratory events: On coughing and sneezing. Journal of Fluid Mechanics, 745, 537-563. doi:10.1017/jfm.2014.88

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Case 2: cough simulation with mask

• Add effect of mask on Row 2 (front) passenger

• Mask is generic type‐ Mask modeled using porous media and UDF for filtering

cough droplets

• All coughing parameters same as before

Ref: Bourouiba, L., Dehandschoewercker, E., & Bush, J. (2014). Violent expiratory events: On coughing and sneezing. Journal of Fluid Mechanics, 745, 537-563. doi:10.1017/jfm.2014.88Vivek Kumar,et al., On the utility of cloth facemasks for controlling ejecta during respiratory events., arXiv: Medical Physics, 2020.

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Animation: Streamlines

Analysis of airliner cabin HVAC system: air patterns only

Analysis of airliner cabin HVAC system: coughing without mask

Analysis of airliner cabin HVAC system: coughing with mask

Ref: Vivek Kumar et al., On the utility of cloth facemasks for controlling ejecta during respiratory events., arXiv: Medical Physics, 2020.

Effect of pathogen spread with and without masks

No masks worn, 2 passengers coughing 1 mask worn, 2 passengers coughing

Particle size x10 for person with mask for visualization purposes

• CFD can predict the comfort of occupants in closed environments such as:• aircraft • space capsule (low-gravity)• automobile• auditoriums• hospital rooms

• Key outputs from CFD simulation:• Velocity, Temperature, Humidity• Local Mean Age of Air / Ventilation Effectiveness• Predicted Mean Vote (PMV)• Predicted Percentage Dissatisfied (PPD)• Contaminant/Pollutant dispersion

Other modeling of HVAC systems and human comfort

Solar Load [W/m^2]

Complex geometryHumidity Unsteady velocity

Heat generation from human body

Radiation

Solar Load

➢ Reduce calculation costs for complex situations ➢ Complex geometry : sheet, human body…➢ Unsteady simulation: heat up, cool down…➢ Non-linear physics: natural convection, radiation, humidity, solar load …

Temperature

Natural convection

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System-level simulation of aircraft cabin: Ansys ROMs

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Velocity

Temperature PMV

Solar Load[W/m^2]

PMV is an index showing

the thermal comfort. It is

defined as a function of

temperature, velocity,

humidity and radiation.

Example: Typical airliner cabin output

48hours@20 cores In a second

2 minutes unsteady simulation

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Ansys ROM Technology

Validation: prediction(ROM) vs. correct answer(Fluent)

Temperature Velocity PMV

Point-1

Point-2

Point-3

Point-1

Point-2

Point-3

Point-1

Point-2

Point-3

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Outline

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Cabin HVAC system studies

Disinfection of cabin surfaces and HVAC air via UV light

Disinfection of cabin via electrostatic sprays

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How to kill micro-organisms using UV light

• Disinfection efficiency depends on:‐ Wavelength & Intensity: Lamp output

‐ Exposure time: design of disinfection system

• Disinfection efficiency is defined as “UV Dosage”‐ UV Dosage: Amount of received radiation in micro-organisms, either from

continuous exposure or during the flow path in reactor

DNA

flow path of micro-organism

( )t dtIntensityUVDoseUV *:

flow

dt

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Challenges for UV light surface disinfection systems

• Choosing the optimal lighting system

• Ensuring complete exposure and irradiation of all relevant surfaces including line of sight challenges

• Understanding the dosage requirements

• Optimizing the design and motion of a mobile system

Case study: UV Disinfection for transportation industry

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A Step by Step Workflow

1. Create 3D model of area under test (e.g. aero cabin)

2. Apply optical properties to all surfaces in the area

3. Define light delivery system

4. Define motion path ** for mobile solution only

5. Run simulations

6. Calculate cumulative irradiation on all relevant surfaces

7. Determine necessary exposure requirements (or speed requirements for mobile solution)

8. Verify that there are no missed surfaces

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Aero cabin case study

• Three model comparisons‐ Installed lights vs. two robot designs

• Optical properties‐ Robot: ~80% reflectance‐ Floor: ~50% reflectance‐ Ceiling: ~80% reflectance‐ Rest: ~40% reflectance

• Light delivery system‐ Output power: 100W in all cases‐ Intensity distribution: Lambertian‐ Spectrum: Gaussian around 253.7nm

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Installed lights vs. Robot designs

Installed lights Robot design 1 Robot design 2

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Cumulative irradiation & dosage requirements

Installed lights Robot design 1 Robot design 2

Lowest irradiance surface: ~1 uW/cm2

Lowest irradiance surface: ~6 uW/cm2

Lowest irradiance surface: ~4 uW/cm2

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Cumulative irradiation & dosage requirements

Installed lights Robot design 1 Robot design 2

Exposure time required: 600s

Speed required: 0.034 m/s

Exposure time required: 100s

Speed required: 0.204 m/s

Exposure time required: 150s

Speed required: N/A

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Aero cabin case study

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Train cabin example

• Moving to a new (but similar) environment, are we able to re-use the same robot design?

➔Let’s test through simulation, using the same model setup as for the aero cabin example

• Optical properties

‐ Robot: ~80% reflectance

‐ Floor: ~50% reflectance

‐ Ceiling: ~80% reflectance

‐ Rest: ~40% reflectance

• Light delivery system

‐ Output power: 100W in all cases

‐ Intensity distribution: Lambertian

‐ Spectrum: Gaussian around 253.7nm

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Train cabin example

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Train cabin example

Original robot from airplane

Good lighting of seating area

Poor lighting of luggage area

Modified robot with added LEDs

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Train cabin example

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Mask disinfection example

Apply the 3D irradiance sensor on the Mask parts

Gasket

Screws

Body Mask

Filter cover

Filter Gasket 1

Filter Gasket 2

Inner Filter

Outer Filter

Mask Explosion

Import the geometry in Ansys Speos

Analyse the radiometric resuts

In-door ambient lighting

LED array

UV-C Transparent support

UV-C coating

Reflective walls

Define the materials propreties and sources1

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Mask disinfection example

The radiometric analysis shows minimum irradiance of 0.74 W.m-2 to achieve minimum criteria of 20 W.s.m-2. Desinfection process takes 27 seconds.

UV disinfection of cabin HVAC air

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• Model radiation with particle tracking method to simulate UV disinfection system

• Some functions are customized by UDF(User Defined Function)

Disinfection

efficiency

Ansys CFD

Particle UV dosage[mJ/cm2]

US disinfection of HVAC air

Modeling of micro-organisms

• Micro-organisms can be modeled by Ansys Fluent DPM(Discrete Phase Model)• Lagrangian method used to compute

• Virus/droplet trajectories• UV dosage on droplets

Particle paths through ducting

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Residence time (s)

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count

(%)

Min =1.78 s

Average =3.70 s

Std = 1.47 s

Statistics of virus residence time and radiation

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Irradiation dose (Ws/m2)

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Min =1.00 Ws/m2

Average =184.3 Ws/m2

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Irradiation dose (Ws/m2)

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e=0.7

e=1.0

Min =0.50 Ws/m2

Average =128.2 Ws/m2

Average =184.3 Ws/m2

Live, 0.78%

Neutralized,

99.22%

< 7000 μW/cm2

> 7000 μW/cm2

ε=1.0

Outline

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Cabin HVAC system studies

Disinfection of cabin surfaces and HVAC air via UV light

Disinfection of cabin via electrostatic sprays

Electrostatic sprays to disinfect airliner cabins in between flights

Cumulative mass

distribution

Courtesy: The Houston chronicle

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Target Surface

FE

Spray gun

Compressed Air

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FD, cabin air

FD, compressed Air

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Basic Model: Forces Acting on Droplets

FE

Spray gun

Sprayer Air

Cabin Air Target

Surface

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FD, Cabin Air

FD, Sprayer air

EvaporationmEvaporationm

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Rayleigh Split

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Basic spray droplet physical model: forces acting on spray droplets

Particle Size Distribution: experimental or computed

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Rosin-Rammler

Experimental

Size distribution

Cumulative mass

distribution

Experimentally measured Computed using VOF/DPM

Effect of the electrostatic field on spray droplet trajectories

No Electrostatic Field

Transfer ~ 20%

With Electrostatic Field

Transfer ~ 78%

Droplet diameter = 40mm Particle charge density = 0.874x10-3 C/kg

No e-field 90 kV, no space charge 90 kV, with space

Disinfectant film thickness on target surface

Results: Averaged “Wet” Film Thickness on Target

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90 kV, No Space Charge

90 kV, With Space Charge

No E-field

Thank you

Justin.klass@ansys.com (NASA Account Manager)

Craig Diffie@ansys.com (NASA Enterprise Account Manager)

Valerio.viti@ansys.com

Kishor.Ramaswamy@ansys.com