Application of Box-Behnken Design with Response Surface to Optimize Ventilation System in Underground Shelter

Authors

  • Mohd Zamri Yusoff Centre for Fluid Dynamics, College of Engineering, Universiti Tenaga Nasional (UNITEN), Putrajaya Campus, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia
  • Azfarizal Mukhtar Centre for Fluid Dynamics, College of Engineering, Universiti Tenaga Nasional (UNITEN), Putrajaya Campus, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia
  • Khai Ching Ng School of Engineering, Taylor’s University, Taylor’s Lakeside Campus, No. 1, Jalan Taylor’s, 47500 Subang Jaya, Selangor Darul Ehsan, Malaysia
  • Mohamad Fariz Mohamed Nasir INTI International College, Menara KH, Jalan Sultan Ismail, Kuala Lumpur, 50250 Kuala Lumpur, Malaysia

Keywords:

CFD, optimization, Box-Behnken design, response surface, ventilation rate

Abstract

Ventilation shaft is one of the effective elements in natural ventilation for ensuring acceptable Indoor Air Quality (IAQ) and thermal comfort. It has been found that the opening of ventilation shaft plays a significant role in the ventilation efficiency of an underground shelter. In this study, we aim to develop a predictive ventilation rate model for a naturally-ventilated underground shelter. Computational Fluid Dynamics (CFD) was employed as a simulation tool, where the result was validated with experimental data obtained from the previous literature. Goal Driven Optimization (GDO) was used for the optimization process by considering three geometrical factors and their effects on the objective function. From this study, it is found that the predicted response surface values agree well with the CFD values and hence the predictive model is reliable.

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Published

2020-12-14

How to Cite

Yusoff, M. Z. ., Mukhtar, A. ., Ng, . K. C. ., & Mohamed Nasir, M. F. . (2020). Application of Box-Behnken Design with Response Surface to Optimize Ventilation System in Underground Shelter. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 52(2), 161–173. Retrieved from https://www.akademiabaru.com/submit/index.php/arfmts/article/view/2387

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