Analysis of performance of the daylight into critical liveable area of ‘type design’ dwelling unit on the basis of daylight metrics for hot and dry climate

Abstract

Daylighting integrated with artificial lighting control is recognized as an important and useful strategy in energy-efficient building designs. The prediction of the internal daylight levels is a key stage in daylighting designs. For this research, the ‘type design’ residential quarters building as a case has been selected from Nagpur region in central India having a hot and dry climate. These ‘type design’ have the major issues related to the performance of daylight and thermal comfort due to lack of some rules related to sizes of fenestrations in the development control regulation. The aim of this research is to evaluate the most critical liveable area of a dwelling unit of ‘type design’ for daylight and thermal comfort. This research includes evaluation of the selected parameters by comparative analysis of useful daylight illuminance (UDI), daylight autonomy (DA), thermal comfort hours and carpet area to window ratio (CAWR) with the help of dynamic simulation by using ‘Daysim’, ‘radiance analysis tool’ and ‘temperature distribution tool’ of Ecotect 2011 software. The findings of this research arrive to derive the CAWR with respect to orientation (four cardinal directions) of the building without compromising the thermal comfort with respect to the temperature of a dwelling unit of ‘type design’.

Keywords

Daylight simulation Useful daylight illuminance Daylight autonomy Carpet area to window ratio Orientation of the building

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References

Fairuz

Fadzil

Sia

. Sunlight control and daylight distribution analysis : the Komtar, case study. Buil Environ 2004; 39: 713–717.

Balocco

Frangioni

. Natural lighting in the hall of two hundred. A proposal for exhibition of its ancient tapestries. J Cultural Heritage 2010; 11: 113–118.

Kim

Chung

. Daylighting simulation as an architectural design process in museums installed with toplights. Build Environ 2011; 46: 210–222.

Alzoubi

Al-zoubi

. Assessment of building façade performance in terms of daylighting and the associated energy consumption in architectural spaces : vertical and horizontal shading devices for southern exposure facades. Energy Convers Manage 2010; 51: 1592–1599.

Singhal N, Tathagat T and Rawal PR. Analysis of daylighting devices for typical office buildings of New Delhi, India. In: Proceedings of the 11th international IBPSA conference, Glasgow, Scotland, July 27–30 2009; pp.1685-1692.

Afroz

Rahman

Islam

Ahmed

. Daylight performance in South facing rooms of residential apartments in respect of current Building Code (2008): relation between obstruction distance and opening size. Eur Scientific J 2014; 10(6): 456–469.

Nagpur Muncipal Corporation. Act TP. Development Control Regulations – 2000 for Nagpur city. Part 1 Administration, Nagpur, India: Nag Vidharbha Builders Association, 2000.

Dewangan PL and Surpam RV. By Regional Meteorological Centre Airport, Nagpur (Maharastra State). India Meteorological Department. Annual report on climate of Nagpur. Ministry of Earth Science Government of India, New Delhi, 2011.

Issa RR, Hinze J, Olbina SJ and Vangimalla PR. Validation of Autodesk Ecotect ™ accuracy for thermal and daylighting simulations. In: Proceedings of the 2011 winter simulation conference, Phoenix, AZ, December 11–14 2011; pp.3388-3399.

10.

Reinhart C and Breton PF. Experimental Validation of Autodesk® 3ds Max® Design 2009’ and Daysim3.0. LEUKOS 2009; 6: 7-35.

11.

Cutler

Sheng

Martin

Glaser

Andersen

. Interactive selection of optimal fenestration materials for schematic architectural daylighting design. Automat Construct 2008; 17(7): 809–823.

12.

Lenoir A, Cory S, Donn M and Garde F. Optimisation methodology for the design of solar shading for thermal and visual comfort in tropical climates.In: Proceedings of BS2013: 13th conference of International Building Performance Simulation Association, Chambéry, France, August 26–28 2013; pp.3086-3095.

13.

Mardaljevic

. The BRE-IDMP dataset: a new benchmark for the validation of illuminance prediction techniques. Ligh Res Technol 2001; 33(2): 117–134.

14.

Reinhart

Fitz

. A findings from a survey on the current use of daylight simulations in building design. Energy Build 2006; 38(7): 824–835.

15.

Reinhart

Mardaljevic

Rogers

. Dynamic daylight performance metrics for sustainable building design. LEUKOS 2013; 3(1): 7–31.

16.

Kota S and Haberl JS. Historical survey of daylighting calculations methods and their use in energy performance simulations. In: Proceedings of the 9th international conference for enhanced building operations, Austin, TX, November 17–19 2009; pp.1-9.

17.

Garcia-HansenV, Kennedy R, Sanders P and Varendorff A. Daylighting performance of subtropical multi-residential towers simulations tools for design decisions. In: Proceedings of the 28th conference, opportunities, limits & needs towards an environmentally responsible architecture, Lima, Perú, November 7–9 2012, pp.1–7.

18.

Nabil

Mardaljevic

. Useful daylight illuminance : a new paradigm for assessing daylight in buildings. Light Res Technol 2016; 37(1): 1–27.

19.

Mardaljevic J. Climate-based daylight analysis for residential buildings. impact of various window configurations,external obstructions, orientations and location on Useful Daylight Illuminance. The Gateway, Leicester: De Montfort University, 2008, pp.1–91.

20.

Leandra M, Matterson G, Ferrà JO, Salom J and Higuera J. Dynamic daylight simulation and visual comfort survey in mediterranean climate. Case study in office building. In: Proceedings of BS2013: 13th conference of International Building Performance Simulation Association, Chambéry, France, August 26–28 2013; pp.3010-3018.

21.

Indraganti

. Adaptive use of natural ventilation for thermal comfort in Indian apartments. Build Environ 2010; 45(6): 1490–1507.

22.

Rupp

Vasquez

Lamberts

. A review of human thermal comfort in the built environment. Energy Build 2015; 105: 178–205.

23.

SP:7-2005. National Building Code of India 2005 (Group 1 to 5), New Delhi, India: Bureau of Indian Standards, 2005.

24.

SP: 41-1987. Handbook on functional requirements of buildings (other than industrial buildings) (part 1–4), New Delhi, India: Bureau of Indian Standards, 1987.

25.

Kumar

. Evaluation of thermal comfort of naturally ventilated university students’ accommodation based on adaptive thermal comfort model and occupant survey in composite climate. Int J Architect Eng Construct 2014; 3: 298–316.

26.

Abudallah

Bakar

SKA

Rahman

. Simulation of office’s operative temperature using Ecotect model. Int J Construct Technol Manage Simul 2013; 1: 33–37.