Impact of Furniture Layout on Indoor Daylighting Performance in Existing Residential Buildings in Malaysia

Currently, home-based computing workspaces have developed substantially all over the world, especially in Malaysia. This growing trend attracts computer workers to run a business from their residential units. Hence, visual comfort needs to be considered in addition to thermal comfort for home workers in their residential working rooms. While such rooms are always occupied with furniture, the layout of the furniture may influence the indoor daylighting distribution. Several various furniture layouts can be arranged in a residential working room. However, to have better generalisation, this study focused on the impacts of mostly-used-furniture-layouts (MUFLs) on indoor daylighting performance in residential working rooms. The field measurement was conducted in a typically furnished room under a tropical sky to validate the results of the simulation software under different sky conditions. Then, daylight ratio (DR), as a quantitative daylighting variable, and the illuminance uniformity ratio (IUR), CIE glare index (CGI), and Guth visual comfort probability (GVCP), as qualitative daylighting variables, were analysed through simulation experiments. In conclusion, by changing the furniture layout, daylight uniformity recorded the highest fluctuations in the case room among all variables. While various furniture layouts, in a residential working room in the tropics, may even slightly reduce the extreme indoor daylight quantity, they can worsen the indoor daylight quality compared to an unfurnished space. The paper shows that furniture as an interior design parameter cannot help to improve tropical daylighting performance in a building.

[1]  Marie-Claude Dubois,et al.  Impact of Solar Shading Devices on Daylight Quality: Measurements in Experimental Office Rooms , 2001 .

[2]  Sreenivasaiah Purushothama Rao,et al.  Parametric Studies on Window-To-Wall Ratio for Passive Design Optimisation of Day lighting in High-Rise Office Buildings in Kuala Lumpur, Malaysia , 2013 .

[3]  K.D. Song Influence of Canopy Systems on Daylight Performance of Four-Sided Atria under an Overcast Sky , 2007 .

[4]  H. Djamila,et al.  Estimation of exterior vertical daylight for the humid tropic of Kota Kinabalu city in East Malaysia , 2011 .

[5]  Danny H.W. Li,et al.  Evaluation of lighting performance in office buildings with daylighting controls , 2001 .

[6]  Leyla Sanati,et al.  The effect of window shading design on occupant use of blinds and electric lighting , 2013 .

[7]  Dilshan Remaz Ossen,et al.  Empirical Validation of Daylight Simulation Tool with Physical Model Measurement , 2010 .

[8]  A. Athienitis,et al.  The impact of shading design and control on building cooling and lighting demand , 2007 .

[9]  Martin Vraa Nielsen,et al.  Quantifying the potential of automated dynamic solar shading in office buildings through integrated simulations of energy and daylight , 2011 .

[10]  Jean-Louis Scartezzini,et al.  Minimizing lighting power density in office rooms equipped with Anidolic Daylighting Systems , 2010 .

[11]  Steve Sharples,et al.  Daylight in Atrium Buildings: A Critical Review , 2007 .

[12]  Yaik Wah Lim,et al.  Dynamic internal light shelf for tropical daylighting in high-rise office buildings , 2016 .

[13]  P Eubanks Home work. , 1989, Hospitals.

[14]  An-Seop Choi,et al.  Performance of Integrated Systems of Automated Roller Shade Systems and Daylight Responsive Dimming Systems , 2011 .

[15]  Yaik Wah Lim,et al.  Empirical validation of Radiance-IES daylight simulation for furnished and unfurnished rooms under a tropical sky , 2016 .

[16]  Niko Gentile,et al.  Daylight Utilization with Light Pipe in Farm Animal Production: A Simulation Approach , 2016 .

[17]  R Dangol,et al.  Effect of Window Glazing on Colour Quality of Transmitted Daylight , 2017 .

[18]  Mohd Zin Kandar,et al.  Investigating Daylight Quality Using Self-Shading Strategy in Energy Commission Building in Malaysia , 2013 .

[19]  Danny H.W. Li,et al.  A study of the daylighting performance and energy use in heavily obstructed residential buildings via computer simulation techniques , 2006 .

[20]  Mohsen Ghasemi,et al.  Investigating the effect of well geometry on the daylight performance in the adjoining spaces of vertical top-lit atrium buildings , 2016 .

[21]  Stephen Tagg,et al.  Invisible Businesses: The Characteristics of Home-based Businesses in the United Kingdom , 2011 .

[22]  Jeong Tai Kim,et al.  Healthy-daylighting design for the living environment in apartments in Korea , 2010 .

[23]  Myoung Souk Yeo,et al.  Automated blind control to maximize the benefits of daylight in buildings , 2010 .

[24]  Jean-Louis Scartezzini,et al.  Performance of Anidolic Daylighting Systems in tropical climates - Parametric studies for identification of main influencing factors , 2010 .

[25]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[26]  Joon-Ho Choi,et al.  Impacts of indoor daylight environments on patient average length of stay (ALOS) in a healthcare facility , 2012 .

[27]  Yun Kyu Yi,et al.  Environmental Performance of Furniture Layouts in SI Housing , 2010 .

[28]  Danny H.W. Li,et al.  An analysis of daylighting performance for office buildings in Hong Kong , 2008 .

[29]  Azni Zain-Ahmed,et al.  Daylight availability in an office interior due to various fenestration options , 2007 .

[30]  D. Ossen,et al.  Internal Shading for Efficient Tropical Daylighting in Malaysian Contemporary High-Rise Open Plan Office , 2013 .

[32]  K. Sopian,et al.  Daylighting as a passive solar design strategy in tropical buildings: a case study of Malaysia , 2002 .

[33]  Zulkhairi Zainol Abidin,et al.  The availability of daylight from tropical skies: a case study of Malaysia , 2002 .

[34]  A Critical Review of User Fit-out in Habitable Rooms in High-Rise Residential Apartments in Malaysia , 2016 .

[35]  N.D. Dahlan,et al.  Daylight Ratio, Luminance, and Visual Comfort Assessments in Typical Malaysian Hostels , 2009 .

[36]  Dilshan Remaz Ossen Building simulation for energy efficient solar shading , 2008 .

[37]  Hussain H. Alzoubi,et al.  Pre-versus post-occupancy evaluation of daylight quality in hospitals , 2010 .

[38]  Steve Sharples,et al.  The variation of daylight levels across atrium walls: Reflectance distribution and well geometry effects under overcast sky conditions , 2011 .

[39]  Athanasios Tzempelikos,et al.  Sensitivity analysis on daylighting and energy performance of perimeter offices with automated shading , 2013 .

[40]  R. Sulaiman,et al.  The E-Business Potential for Home-Based Businesses in Malaysia: A Qualitative Study , 2009 .