IIUM Repository (IREP)

Design optimization for ventilation shafts of naturally-ventilated underground shelters for improvement of ventilation rate and thermal comfort

Mukhtar, Azfarizal and Ng, Khai Ching and Yusoff, Mohd Zamri (2018) Design optimization for ventilation shafts of naturally-ventilated underground shelters for improvement of ventilation rate and thermal comfort. Renewable Energy, 115. pp. 183-198. ISSN 0960-1481

[img] PDF - Published Version
Restricted to Repository staff only

Download (4MB) | Request a copy
[img] PDF (SCOPUS) - Supplemental Material
Restricted to Repository staff only

Download (176kB) | Request a copy

Abstract

A good ventilation system is essential for an underground shelter to provide a comfortable environment with better indoor air quality. Ventilation shafts are widely used for ventilation purpose in an under- ground shelter. In the current work, the position of the ventilation shaft is optimized by employing the Response Surface Methodology (RSM). Two RSMs are constructed. The first RSM is constructed by 32 CFD models via Fractional Factorial Design (FFD) and the second model is constructed by 53 CFD models via Central Composite Rotatable Design (CCRD). The first and the second models are subsequently analysed by using the linear and quadratic models, respectively. The result indicates that both models lead to similar predictions on the inputs (factors) that strongly affect the response. Moreover, the response surface values agree well with the CFD values. Based on desirability functions, the optimized design improves the ventilation system by 24.5% as compared to the actual design. Also, the optimized design meets the comfort temperature and design criteria recommended for a naturally-ventilated underground shelter. Overall, this study finds that statistical analysis is a useful tool for the improvements of venti- lation rate and thermal comfort

Item Type: Article (Journal)
Additional Information: 9046/72005
Uncontrolled Keywords: Computational fluid dynamics (CFD), Design of experiments (DOE), Response surface methodology (RSM), Desirability function, Ventilation rate, Thermal comfort index
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA174 Engineering design
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering
Depositing User: Ir. Dr. AZFARIZAL MUKHTAR
Date Deposited: 08 May 2019 12:07
Last Modified: 08 May 2019 12:07
URI: http://irep.iium.edu.my/id/eprint/72005

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year