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Application of the Taguchi and ANOVA Methods to Optimize Ventilation Parameters for Infection Risk Based on the Wells-Riley Model

Yıl 2023, Cilt: 12 Sayı: 1, 199 - 206, 22.03.2023

Bahadır Erman Yüce

https://doi.org/10.17798/bitlisfen.1222870
Cited By: 1

Öz

The coronavirus pandemic has caused many deaths and affected societies with social and economic problems as a consequence of its effect. Many different measures were taken to stop or reduce the spread of the virus like wearing a face mask and reorganizing school activities, transportation, and meetings. As an alternative to these measures, ventilation is a critical engineering solution that can help reduce the infection risk in the indoor environment. In this study, the effects of ventilation parameters (volume, ACH) and breathing rates on the Wells-Riley method-based infection risk probability were investigated by the Taguchi method. The orthogonal array was used to create the experimental design. Then, each parameter was analyzed according to the performance criterion (infection risk probability) using signal-to-noise (S/N) ratios and the order of importance of the parameters was calculated. Consequently, these data were used to identify worst-case and best-case scenarios to minimize the risk of infection in the indoor environment.

Anahtar Kelimeler

Wells-Riley Optimization Infection risk Covid-19

Teşekkür

This study was presented at 2. International Rahva Technical and Social Research Congress on 04 December 2022 and then it was submitted by being expanded for publishing to Bitlis Eren University Journal of Science.

Kaynakça

  • [1] W. H. Organization, “Coronavirus disease (COVID-19) advice for the public: Mythbusters,” 2022. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public/myth-busters (accessed Dec. 21, 2022).
  • [2] J. Burkett, “Defining Viruses And Droplet Release: Virus Transmission Modes and Mitigation Strategies, Part 1,” ASHRAE J., vol. 63, no. 3, pp. 24–29, 2021.
  • [3] G. N. Sze To and C. Y. H. H. Chao, “Review and comparison between the Wells-Riley and dose-response approaches to risk assessment of infectious respiratory diseases.,” Indoor Air, vol. 20, no. 1, pp. 2–16, Feb. 2010, doi: 10.1111/j.1600-0668.2009.00621.x.
  • [4] M. Z. Bazant and J. W. M. Bush, “A guideline to limit indoor airborne transmission of COVID-19,” Proc. Natl. Acad. Sci., vol. 118, no. 17, Apr. 2021, doi: 10.1073/pnas.2018995118.
  • [5] W. W. Nazaroff, M. Nicas, and S. L. Miller, “Framework for Evaluating Measures to Control Nosocomial Tuberculosis Transmission,” Indoor Air, vol. 8, no. 4, pp. 205–218, Dec. 1998, doi: 10.1111/j.1600-0668.1998.00002.x.
  • [6] Z. Liu et al., “Potential infection risk assessment of improper bioaerosol experiment operation in one BSL-3 laboratory based on the improved Wells-Riley method,” Build. Environ., vol. 201, p. 107974, Aug. 2021, doi: 10.1016/j.buildenv.2021.107974.
  • [7] Y. Yan, X. Li, Y. Shang, and J. Tu, “Evaluation of airborne disease infection risks in an airliner cabin using the Lagrangian-based Wells-Riley approach,” Build. Environ., vol. 121, pp. 79–92, Aug. 2017, doi: 10.1016/j.buildenv.2017.05.013.
  • [8] Z. Wang, E. R. Galea, A. Grandison, J. Ewer, and F. Jia, “A coupled Computational Fluid Dynamics and Wells-Riley model to predict COVID-19 infection probability for passengers on long-distance trains,” Saf. Sci., vol. 147, p. 105572, Mar. 2022, doi: 10.1016/j.ssci.2021.105572.
  • [9] G. Taguchi, Introduction to Quality Engineering. Tokyo: Asian Productivity Organization, 1990.
  • [10] REHVA, “REHVA COVID-19 guidance document, How to Operate HVAC and Other Building Service Systems to Prevent the Spread of the Coronavirus (SARS-CoV-2) Disease (COVID-19) in Workplaces,” Fed. Eur. Heating, Vent. Air Cond. Assoc., 2020.
  • [11] W. F. Wells, Airborne Contagion and Air Hygiene. An Ecological Study of Droplet Infections. Cambridge, MA: Cambridge University Press, 1955.
  • [12] E. C. Riley, G. Murphy, and R. L. Riley, “Airborne spread of measles in a suburban elementary school,” Am. J. Epidemiol., vol. 107, no. 5, 1978, doi: 10.1093/oxfordjournals.aje.a112560.
  • [13] T. L. Thatcher, A. C. K. Lai, R. Moreno-Jackson, R. G. Sextro, and W. W. Nazaroff, “Effects of room furnishings and air speed on particle deposition rates indoors,” Atmos. Environ., vol. 36, no. 11, pp. 1811–1819, Apr. 2002, doi: 10.1016/S1352-2310(02)00157-7.
  • [14] E. Diapouli, A. Chaloulakou, and P. Koutrakis, “Estimating the concentration of indoor particles of outdoor origin: A review,” J. Air Waste Manage. Assoc., vol. 63, no. 10, pp. 1113–1129, Oct. 2013, doi: 10.1080/10962247.2013.791649.
  • [15] A. C. Fears et al., “Comparative dynamic aerosol efficiencies of three emergent coronaviruses and the unusual persistence of SARS-CoV-2 in aerosol suspensions.,” medRxiv Prepr. Serv. Heal. Sci., Apr. 2020, doi: 10.1101/2020.04.13.20063784.
  • [16] N. van Doremalen et al., “Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-1,” N. Engl. J. Med., vol. 382, no. 16, pp. 1564–1567, Apr. 2020, doi: 10.1056/NEJMc2004973.
  • [17] N. Arslanoglu and A. Yigit, “Experimental investigation of radiation effect on human thermal comfort by Taguchi method,” Appl. Therm. Eng., vol. 92, pp. 18–23, Jan. 2016, doi: 10.1016/j.applthermaleng.2015.09.070.
  • [18] C.-W. Chang and C.-P. Kuo, “Evaluation of surface roughness in laser-assisted machining of aluminum oxide ceramics with Taguchi method,” Int. J. Mach. Tools Manuf., vol. 47, no. 1, pp. 141–147, 2007, doi: 10.1016/j.ijmachtools.2006.02.009.
  • [19] A. M. Pinar, O. Uluer, and V. Kırmaci, “Optimization of counter flow Ranque–Hilsch vortex tube performance using Taguchi method,” Int. J. Refrig., vol. 32, no. 6, pp. 1487–1494, Sep. 2009, doi: 10.1016/j.ijrefrig.2009.02.018.
  • [20] S. Özel, E. Vural, and M. Binici, “Optimization of the effect of thermal barrier coating (TBC) on diesel engine performance by Taguchi method,” Fuel, vol. 263, p. 116537, Mar. 2020, doi: 10.1016/j.fuel.2019.116537.
  • [21] M. Tutar, H. Aydin, C. Yuce, N. Yavuz, and A. Bayram, “The optimisation of process parameters for friction stir spot-welded AA3003-H12 aluminium alloy using a Taguchi orthogonal array,” Mater. Des., vol. 63, pp. 789–797, Nov. 2014, doi: 10.1016/j.matdes.2014.07.003.
  • [22] N. Arslanoglu and A. Yigit, “Investigation of efficient parameters on optimum insulation thickness based on theoretical-Taguchi combined method,” Environ. Prog. Sustain. Energy, vol. 36, no. 6, pp. 1824–1831, Nov. 2017, doi: 10.1002/ep.12628.
  • [23] B. E. Yuce, P. V. Nielsen, and P. Wargocki, “The use of Taguchi, ANOVA, and GRA methods to optimize CFD analyses of ventilation performance in buildings,” Build. Environ., vol. 225, p. 109587, Nov. 2022, doi: 10.1016/j.buildenv.2022.109587.
  • [24] C. Vidal, V. Infante, P. Peças, and P. Vilaça, “Application of Taguchi Method in the Optimization of Friction Stir Welding Parameters of an Aeronautic Aluminium Alloy,” Int. J. Adv. Mater. Manuf. Charact., vol. 3, no. 1, pp. 21–26, Mar. 2013, doi: 10.11127/ijammc.2013.02.005.

Yıl 2023, Cilt: 12 Sayı: 1, 199 - 206, 22.03.2023

Bahadır Erman Yüce

https://doi.org/10.17798/bitlisfen.1222870
Cited By: 1

Öz

Anahtar Kelimeler

Wells-Riley Optimization Optimization Infection risk Covid-19

Kaynakça

  • [1] W. H. Organization, “Coronavirus disease (COVID-19) advice for the public: Mythbusters,” 2022. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public/myth-busters (accessed Dec. 21, 2022).
  • [2] J. Burkett, “Defining Viruses And Droplet Release: Virus Transmission Modes and Mitigation Strategies, Part 1,” ASHRAE J., vol. 63, no. 3, pp. 24–29, 2021.
  • [3] G. N. Sze To and C. Y. H. H. Chao, “Review and comparison between the Wells-Riley and dose-response approaches to risk assessment of infectious respiratory diseases.,” Indoor Air, vol. 20, no. 1, pp. 2–16, Feb. 2010, doi: 10.1111/j.1600-0668.2009.00621.x.
  • [4] M. Z. Bazant and J. W. M. Bush, “A guideline to limit indoor airborne transmission of COVID-19,” Proc. Natl. Acad. Sci., vol. 118, no. 17, Apr. 2021, doi: 10.1073/pnas.2018995118.
  • [5] W. W. Nazaroff, M. Nicas, and S. L. Miller, “Framework for Evaluating Measures to Control Nosocomial Tuberculosis Transmission,” Indoor Air, vol. 8, no. 4, pp. 205–218, Dec. 1998, doi: 10.1111/j.1600-0668.1998.00002.x.
  • [6] Z. Liu et al., “Potential infection risk assessment of improper bioaerosol experiment operation in one BSL-3 laboratory based on the improved Wells-Riley method,” Build. Environ., vol. 201, p. 107974, Aug. 2021, doi: 10.1016/j.buildenv.2021.107974.
  • [7] Y. Yan, X. Li, Y. Shang, and J. Tu, “Evaluation of airborne disease infection risks in an airliner cabin using the Lagrangian-based Wells-Riley approach,” Build. Environ., vol. 121, pp. 79–92, Aug. 2017, doi: 10.1016/j.buildenv.2017.05.013.
  • [8] Z. Wang, E. R. Galea, A. Grandison, J. Ewer, and F. Jia, “A coupled Computational Fluid Dynamics and Wells-Riley model to predict COVID-19 infection probability for passengers on long-distance trains,” Saf. Sci., vol. 147, p. 105572, Mar. 2022, doi: 10.1016/j.ssci.2021.105572.
  • [9] G. Taguchi, Introduction to Quality Engineering. Tokyo: Asian Productivity Organization, 1990.
  • [10] REHVA, “REHVA COVID-19 guidance document, How to Operate HVAC and Other Building Service Systems to Prevent the Spread of the Coronavirus (SARS-CoV-2) Disease (COVID-19) in Workplaces,” Fed. Eur. Heating, Vent. Air Cond. Assoc., 2020.
  • [11] W. F. Wells, Airborne Contagion and Air Hygiene. An Ecological Study of Droplet Infections. Cambridge, MA: Cambridge University Press, 1955.
  • [12] E. C. Riley, G. Murphy, and R. L. Riley, “Airborne spread of measles in a suburban elementary school,” Am. J. Epidemiol., vol. 107, no. 5, 1978, doi: 10.1093/oxfordjournals.aje.a112560.
  • [13] T. L. Thatcher, A. C. K. Lai, R. Moreno-Jackson, R. G. Sextro, and W. W. Nazaroff, “Effects of room furnishings and air speed on particle deposition rates indoors,” Atmos. Environ., vol. 36, no. 11, pp. 1811–1819, Apr. 2002, doi: 10.1016/S1352-2310(02)00157-7.
  • [14] E. Diapouli, A. Chaloulakou, and P. Koutrakis, “Estimating the concentration of indoor particles of outdoor origin: A review,” J. Air Waste Manage. Assoc., vol. 63, no. 10, pp. 1113–1129, Oct. 2013, doi: 10.1080/10962247.2013.791649.
  • [15] A. C. Fears et al., “Comparative dynamic aerosol efficiencies of three emergent coronaviruses and the unusual persistence of SARS-CoV-2 in aerosol suspensions.,” medRxiv Prepr. Serv. Heal. Sci., Apr. 2020, doi: 10.1101/2020.04.13.20063784.
  • [16] N. van Doremalen et al., “Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-1,” N. Engl. J. Med., vol. 382, no. 16, pp. 1564–1567, Apr. 2020, doi: 10.1056/NEJMc2004973.
  • [17] N. Arslanoglu and A. Yigit, “Experimental investigation of radiation effect on human thermal comfort by Taguchi method,” Appl. Therm. Eng., vol. 92, pp. 18–23, Jan. 2016, doi: 10.1016/j.applthermaleng.2015.09.070.
  • [18] C.-W. Chang and C.-P. Kuo, “Evaluation of surface roughness in laser-assisted machining of aluminum oxide ceramics with Taguchi method,” Int. J. Mach. Tools Manuf., vol. 47, no. 1, pp. 141–147, 2007, doi: 10.1016/j.ijmachtools.2006.02.009.
  • [19] A. M. Pinar, O. Uluer, and V. Kırmaci, “Optimization of counter flow Ranque–Hilsch vortex tube performance using Taguchi method,” Int. J. Refrig., vol. 32, no. 6, pp. 1487–1494, Sep. 2009, doi: 10.1016/j.ijrefrig.2009.02.018.
  • [20] S. Özel, E. Vural, and M. Binici, “Optimization of the effect of thermal barrier coating (TBC) on diesel engine performance by Taguchi method,” Fuel, vol. 263, p. 116537, Mar. 2020, doi: 10.1016/j.fuel.2019.116537.
  • [21] M. Tutar, H. Aydin, C. Yuce, N. Yavuz, and A. Bayram, “The optimisation of process parameters for friction stir spot-welded AA3003-H12 aluminium alloy using a Taguchi orthogonal array,” Mater. Des., vol. 63, pp. 789–797, Nov. 2014, doi: 10.1016/j.matdes.2014.07.003.
  • [22] N. Arslanoglu and A. Yigit, “Investigation of efficient parameters on optimum insulation thickness based on theoretical-Taguchi combined method,” Environ. Prog. Sustain. Energy, vol. 36, no. 6, pp. 1824–1831, Nov. 2017, doi: 10.1002/ep.12628.
  • [23] B. E. Yuce, P. V. Nielsen, and P. Wargocki, “The use of Taguchi, ANOVA, and GRA methods to optimize CFD analyses of ventilation performance in buildings,” Build. Environ., vol. 225, p. 109587, Nov. 2022, doi: 10.1016/j.buildenv.2022.109587.
  • [24] C. Vidal, V. Infante, P. Peças, and P. Vilaça, “Application of Taguchi Method in the Optimization of Friction Stir Welding Parameters of an Aeronautic Aluminium Alloy,” Int. J. Adv. Mater. Manuf. Charact., vol. 3, no. 1, pp. 21–26, Mar. 2013, doi: 10.11127/ijammc.2013.02.005.
Toplam 24 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Araştırma Makalesi
Yazarlar

Bahadır Erman Yüce 0000-0002-2432-964X

Erken Görünüm Tarihi 23 Mart 2023
Yayımlanma Tarihi 22 Mart 2023
Gönderilme Tarihi 22 Aralık 2022
Kabul Tarihi 1 Mart 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 12 Sayı: 1

Kaynak Göster

IEEE B. E. Yüce, “Application of the Taguchi and ANOVA Methods to Optimize Ventilation Parameters for Infection Risk Based on the Wells-Riley Model”, Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, c. 12, sy. 1, ss. 199–206, 2023, doi: 10.17798/bitlisfen.1222870.

Cited By

Optimizing thermal comfort in physical exercise spaces: A study of spatial and thermal factors
Energy and Buildings
https://doi.org/10.1016/j.enbuild.2023.113782
 Kapak Resmi İndir



Bitlis Eren Üniversitesi
Fen Bilimleri Dergisi Editörlüğü

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E-posta: fbe@beu.edu.tr