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Assessment of Daylight into the Residential Building According to the Floor Levels for Hot and Dry Climatic Zone
DOI:
https://doi.org/10.30564/jaeser.v2i2.376Abstract
It is very important to use the daylight in the building design, which is allowed by the windows into the buildings, to reduce the energy consumption. However, on the other hand, the performance of daylight varies according to the floor levels of the building. This research focused on the investigation of the correlation between the performance of daylight and window areas according to floor levels through field measurements and simulation experiments in the residential building. The aim of this research is to derive the adequate window areas according to the floor levels with respect to the orientation of the residential building to achieve the optimum level of daylight and indoor temperature in the livable areas of a residential building. The case selected is residential building from Nagpur region, of Central India. It has a hot and dry climate. The evaluation of daylight level has been done with selected parameters like percentages of Carpet Area to Window Ratio (CAWR) and Orientation by using daylight metrics, namely Useful Daylight Illuminance (UDI) (with Daysim and Radiance analysis tools plug-in Ecotect 2011 software). The findings of this research are the adequate area of window according to floor levels with respect to the orientation in the livable areas of the residential building.
Keywords:
Daylight simulation; Floor Levels; Carpet Area to Window Ratio (CAWR); Orientation of the building; Useful Daylight Illuminance (UDI); Indoor temperatureReferences
[1] Geun Young Yun, Hyo Joo Kong, Hyoin Kim, Jeong Tai Kim. A field survey of visual comfort and lighting energy consumption in open plan offices. Energy and Buildings, 2012 46: 146-151.
[2] Chang Heon Cheong, Taeyeon Kim and Seung-Bok Leigh. Thermal and Daylighting Performance of Energy-Efficient Windows in Highly Glazed Residential Buildings: Case Study in Korea. Sustainability, 2014, 6: 7311-7333.
[3] Carla Balocco. Natural lighting in the Hall of Two Hundred. A proposal for exhibition of its ancient tapestries. Journal of Cultural Heritage, 2010, 11: 113-118.
[4] C. S. Kim, S. J. Chung. Daylighting simulation as an architectural design process in museums installed with toplights. Building and Environment, 2011, 46: 210-222.
[5] S. F. Syed Fadzila, S.J.Siab. Sunlight control and daylight distribution analysis: the Komtar case study. Building and Environment, 2004, 39: 713-717.
[6] Islam M. Obeidat, Saif M. Obeidat. The Relation of Residential Lighting and Occupants Behavior, Perception and Welfare. International Design Journal, 2016, 6(3): 81-90.
[7] D.H.W. Li , S.L. Wong, C.L. Tsang, Gary H.W. Cheung. A study of the daylighting performance and energy use in heavily obstructed residential buildings via computer simulation techniques. Energy and Buildings 3, 2006, 38: 1343–1348.
[8] Sara Farrar-Nagy, Ren Anderson, C.E. Hancock. Impacts of Shading and Glazing Combinations on Residential Energy Use in a Hot Dry Climate. Energy Efficiency in Buildings, 2000, 20-25.
[9] W.J. Hee, M. A. Alghoul, B. Bakhtyar, O. Elayeb, M. A. Shameri, M.S. Alrubaih. The role of window glazing on daylighting and energy saving in buildings. Renew.Sustain. Energy Rev., 2015, 42: 323–343.
[10] F. Sharaf, G. Irmeili, R Hammad. Daylighting Transforming Techniques: An Approach to Reduce Energy Consumption in Residential Buildings, the case of Amman in Jordan. International Journal of Applied Engineering Research, 2016, 11(17): 9166-9171.
[11] A. Lenoir, S.Cory, M.Donn, F.Garde. Optimisation methodology for the design of solar shading for thermal and visual comfort in tropical climates. In the proceedings of 13th Conference of International Building Performance Simulation Association, Chambéry, France, 2013.
[12] P. Xue, C. M. Mak, Z.T. Ai. A structured approach to overall environmental satisfaction in high-rise residential buildings". Energy and Buildings, 2016, 116: 181-189.
[13] Bureau of Indian Standards. National Building Code of India,," Bureau of Indian Standards, Manak bhavan, Bahadur shah zafar marg, New Delhi 110 002, 2005.
[14] Nagpur improvement trust. Development control regulation-2000 for Nagpur region. Nag Vidharbha Builders Association, Nagpur, 2000.
[15] P.K. Nandankar, P.L. Dewangan, R.V.Surpam. Climate of Nagpur, Regional Meteorological Centre Airport. Regional Meteorological Centre Airport, Nagpur (Maharashtra State), Nagpur region, 2011.
[16] Energy Plus Weather data. Energy Plus Weather data. U.S. Department of Energy, 11 December 2015. [Online]. Available: https://www.energyplus.net/weather
[17] Trupti J. Dabe and Alpana R. Dongre. Validation Of Methodology For Daylight Analysis Through Field Measurements And Simulation Model - A Case Of Residential Building From Nagpur Region. Research Journal of Fisheries and Hydrobiology, 2016, 14(4): 19-26.
[18] C.F. Reinhart, P. F. Breton. Experimental validation of “Autodesk@ 3dMax@ design 2009” and Daysim3.0. Autodesk media and entrtainment, 2009.
[19] P. R. Vangimalla, S. J. Olbina, R. R. Issa, J. Hinze. Validation of Autodesk Ecotect TM. In proceedings of the 2011 Winter Simulation Conference, Florida, 2011.
[20] Amaral RA, Rodrigues E, Gaspar R A, Gomes Á A.. Parametric study on window- to- floor-ratio of three window types using dynamic simulation: Proceedings of Energy for Sustainability 2015 Conference, Sustainable Cities: Designing for People and the Planet Coimbra, 2015.
[21] Trupti J. Dabe and Alpana R. Dongre. 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. Indoor and Built Environment, 2016.
[22] Sharifah Fairuz Syed Fadzil, Adel Abdullah, Nedhal Ahmed Al-Tamimi, Wan Mariah Wan Harun. The Impact of Varied Orientation and Wall Window Ratio (WWR) To Daylight Distribution in Residental Rooms. In International Symposium on Construction in Developing Economies: Commonalities Among Diversities, 2011.
[23] Report to Australian Building Codes Board on Optimum Window Size for Energy Efficiency: BCA Volume One. Peter Lyons & Associates • Building Energy Consultants, AUSTRALIA, 2008.
[24] Ruksana Afroz, Mostafizur Rahman, Khandoker Tariqul Islam, Mushtaq Ahmed. Daylight Performance in South Facing Rooms of Residential Apartments Inrespect of Current Building Code (2008): Relation between Obstruction Distance and Opening Size. European Scientific Journal, 2014, 10(6).
[25] Shahab Din Rahimzadeh. Use of Parametric Modelling and Climate-based Metrics for the Efficient Design of Daylight Strategies in Buildings With Complex Geometries. Queensland University of Technology, 2015.
[26] A.Nabil, J.Mardaljevic. Useful daylight illuminance: a new paradigm for assessing daylight in buildings. Lighting Research and Technology, 2005, 37: 41-59.
[27] U.Berardi, H.K.Anaraki. Analysis of the Impacts of Light Shelves on the useful daylight illuminance in office buildings. In the proceeding 6th International Building Physics Conference, Energy Procedia, 2015.
[28] J. Mardaljevic, M. Andersen, N. Roy, J. Christoffersen. Daylighting metrics for residential buildings. In the proceeding of the 27th session of CIE, South Africa, 2011.
[29] V.G. Hansen, R. Kennedy, P. Sanders, A. Varendoff. Daylighting performance of subtropical multi-residential towers. Simulations tools for design decisions. In the proceeding of 28th conference of opportunities, limits & needs towards an environmentally responsible architecture, Lima, Perú, 2012.
[30] A. Laouadi, C. F. Reinhart, D. Bourgeois. Efficient calculation of daylight coefficients for rooms with dissimilar complex fenestration systems. Journal of Building Performance and Simulation, 2008, 1(1): 1-31.
[31] Li Yanga, Bao-Jie Heb, Miao Ye. Application research of Ecotect in residential estate planning Li. Energy and Buildings, 2014, 72: 195–202.
[32] L. Díaz-Vilari, S. Lagüela, J. Armesto, P. Arias. Indoor daylight simulation performed on automatically generatedas-built 3D models. Energy and Buildings, 2014, 68: 54–62.
[33] Ali Cheshmehzangi, Yan Zhu, Bo Li. Application of environmental performance analysis for urban design with Computational Fluid Dynamics (CFD) and EcoTect tools: The case of Cao Fei Dian eco-city, China. International Journal of Sustainable Built Environment, 2017, 6: 102-112.
[34] S. Chien, K. J. Tseng. Assessment of climate-based daylight performance in tropical office buildings a case study. International Journal of Low-Carbon Technologies, 2014, 0: 1-9.
[35] Ruppa F R, Vásquezb G N, Lambertsa R.. A review of human thermal comfort in the built environment. Energy and Buildings , 2015, 105: 178-205.
[36] Indraganti M.. Adaptive use of natural ventilation for thermal comfort in Indian apartments. Build Environvironment , 2010, 45(6): 1490–1507.
[37] Yashwant Bhaskar Katpatal, Abhijeet Kute, Deepty Ranjan Satapathy. Surface- and Air-Temperature Studies in Relation to Land Use/Land Cover of Nagpur Urban Area Using Landsat 5 TM Data. Journal of Urban Planning and Development, 2009.
[38] Bureau of Indian Standards. Handbook on Functional Requirements of Buildings (Other than Industrial Buildings)," Bureau of Indian standard, New Delhi, 1987.
[39] A. H. Abdullah, S. K. Abu Bakar, I. A. Rahman. Simulation of office’s operative temperature using Ecotect Model. International Journal of Construction Technology and Management, 2013, 1: 2289- 4454.