Investigation of the Effects of Building Envelopes Received Solar Radiation on Residential Energy Consumption: A Case of SW and SE Orientation in Shiraz*

Document Type : Research Paper

Authors

Assistant Professor, School of Architecture, University of Tehran

Abstract

Abstract
Energy has been considered as one of the most important factors for formation and development of industrialized countries.  Furthermore, countries accessibility for different types of energy can be indicated as a sound development index, as well as political and economical power. Restrictions on resources of non-renewable energy, on one hand, and high cost of production and also low efficiency of distribution and transfer process, on the other hand, have encouraged the politicians and stakeholders of the field of energy to adopt optimal policies for optimal use of the produced energy because different types of energy production depends on high capital investment and is possible in long term. In this study, multiple-regression analysis with stepwise selection method was employed to investigate the effect of solar radiation (Er) on energy consumption (E Primary, E cooling, E heating) in residential sector in one of semi arid cities of Iran. In Shiraz city (with high capacity of solar energy utilization to provide some parts of the required energy and with different types of house), residential buildings were divided based on orientation into two group (i.e. NW-SE, and NE-SW). The houses were selected randomly in different parts of city with different characteristics and type. The presence of autocorrelation in the residuals, checked by Durbin- Watson test, was rejected. To remove the influence of adverse factors (as step no., window to wall ratio, length to width) from E Primary, AHP was used to define the adverse factors’ weights using software (i.e. EC 9.5). The received solar radiation in samples has divided into three main parts; horizontal envelope (roof), main vertical envelope (south elevation) and other envelopes. Each of mentioned envelopes has an effective role in annually and monthly energy consumption behavior. In investigation of each house about the effect of solar radiation of building envelope on E Cooling, E Heating, and E Primary, it was indicated that two types of house have closer correlations: the houses with low energy consumption and climatic Er, and those with high energy consumption and high non-climatic Er. According to the relation between average radiation on vertical envelope (Evr ), and E Cooling, E Heating, and E Primary in each group, the primitive hypothesis (climatic orientated houses can achieve lower E Cooling, E Heating, E Primary) was proved. The annually vertical surface radiation from whole radiation on buildings has 28.89 % in group 1, and 15.72 % in group 2. The results indicated houses with climatic orientation have low energy consumption.  On the other hand, one of the results indicated that about 74.99% of received radiation in houses is related to the horizontal envelope. The annually horizontal surface radiation from whole radiation on buildings is 68.50 % in group 1 and 81.48 % in group 2. Therefore, in both group the role of roof in absorbing radiation is more significant. Finally, some solutions for deploying the solar radiation in order to decrease the residential energy consumption in Shiraz city were proposed and suggestions for future researches were presented.
 

Keywords

References

فهرست علائم و نشانه ها
1-    NE-SW : شمال شرقی- جنوب غربی؛ NW-SE : شمال غربی- جنوب شرقی
2-    E primary: مصرف انرژی اولیه؛ E cooling: مصرف انرژی سرمایش؛ E heating: مصرف انرژی گرمایش؛ E Lighting: مصرف انرژی روشنایی؛ E Equip : مصرف انرژی تجهیزات
3-    Er : تابش دریافتی کلیه بدنه های ساختمان؛ Evr : تابش دریافتی بدنه های عمودی ؛ Ehr : تابش دریافتی بدنه های افقی ؛ Eor : تابش دریافتی بقیه بدنه ها
 
فهرست منابع
قبادیان، وحید، (1387)، بررسی اقلیمی ابنیه سنتی ایران، چاپ پنجم، انتشارات دانشگاه تهران، تهران.
قدسی پور، سید حسن، (1379)، فرایند تحلیل سلسله مراتبی، چاپ دوم، انتشارات دانشگاه صنعتی امیرکبیر، تهران.
کسمائی، مرتضی، (1385)، اقلیم و معماری، چاپ دوم، نشر خاک، تهران.
Borong, Lin, Gang T., Peng W., Ling S., Yingxin Z., Guangkui Z. (2004), Study on the thermal performance of the Chinese traditional vernacular dwellings in summer, Energy and Building, N.36, pp. 73-79.  
Dili A.S., Naseer M.A., Zacharia Varghese T. (October 2010) 2218, Passive control methods of Kerala traditional architecture for a comfortable indoor environment: A comparative investigation during winter and summer, Building and Environment, N.45, pp. 10 -2230.
Dong B., Cao C., Eang Lee S. (May 2005), Applying support vector machines to predict building energy consumption in tropical, Energy and Buildings, N.37 (5), pp. 545-553.
EIA: the Annual Energy Reviewhttp://www.eia.doe.gov/ emeu/aer/contents. Html, 2011.
Hirst E., Goeltz R., Janet Carney (April 1982), Residential energy use: Analysis of disaggregate data, Energy Economics, N.4 (2), pp. 74-82.
Jaber S., Ajib S. (2011), Optimum, technical and energy efficiency design of residential building in Mediterranean region, Energy and Buildings, N.43 (8), pp. 1829-1834.
Jafarpour K., Yaghoubi MA. (1989), Solar radiation for Shiraz, Iran. Sol Wind Techno, N.6.2, pp. 177–9.
Jafarpour, K., Yaghoubi, M.A. (1989), Solar radiation for Shiraz, Iran, Solar & Wind Technology, N.6 (2), pp. 177-179.
Jinghua Yu., Yanga C., Tiana L. (2008), Low-energy envelope design of residential building in hot summer and cold winter zone in China, Energy and Buildings, N.40 (8), pp. 1536-1546.
Kaza N. (November 2010), Understanding the spectrum of residential energy consumption: A quintile regression approach, Energy Policy, N.38 (11), pp. 6574-6585.
Lee W., Kung C. (2011), Using climate classification to evaluate building energy performance, Energy, N.36 (3), pp. 1797-1801.
Michalik G., Khan M.E., Bonwick W.J., Mielczarski W. (1997), Structural modeling of energy demand in the residential sector: 2. The use of linguistic variables to include uncertainty of customer’s behavior, Energy,N.22, pp. 949–58.
Moradia H.R., Rajabib M., Faragzadeh M. (2011), Investigation of meteorological drought characteristics in Fars province, Iran, CATENA, N.84 (1-2), pp.  35-46.
Paltridge GW., Proctor D. (1976), Monthly mean solar radiation statistics for Australia, Sol Energy, N.18, pp. 235–43.
Parker D.S., Barkaszi S.F., Sonne J.K. (1994), Measured cooling energy savings from reflective roof coatings in Florida, Phase II report, Report No. FSEC-CR-699-94, Florida Solar Energy Center, Cape Canaveral, FL.
Pinel P., Cruickshank C.A., Beausoleil-Morrison I., Wills A. (September 2011), A review of available methods for seasonal storage of solar thermal energy in residential applications, Renewable and Sustainable Energy Reviews, N.15 (7), pp. 3341-3359.
Pugha G., Clarkeb L., Marlaya R., Kyleb P., Wise M., McJeonb H., Chana G. (2011),  Energy R&D portfolio analysis based on climate change mitigation, Energy Economics, N.33 (4),pp. 634-643.
Saaty T. L. (1994), Highlights and Critical Points in the Theory and Application of the Analytical Hierarchy Process, European Journal of  Operational Research, N.74, pp. 426-447.
Saaty T.L. (1980), The Analytic Hierarchy Process, McGraw-Hill, New York.
Sabziparvar A. (2008), A simple formula for estimating global solar radiation in central arid deserts of Iran, Renewable Energy, N.33, pp. 1002–1010.
Sabziparvar A. (2008), A simple formula for estimating global solar radiation in central arid deserts of Iran, Renewable Energy, N.33, pp. 1002–1010.
Shen, Hui, Tan H., Tzempelikos A. (2011), The effect of reflective coating on building surface temperatures, indoor environment and energy consumption- An experimental study, Energy and Building, N.43, pp. 573-580.
Swan L.G., Ugursal V.I. (2009), Modeling of end- use energy consumption in the residential sector: A review of modeling techniques, Renewable and sustainable energy reviews, N.13, pp. 1819–1835.
Tabari H., Hosseinzadeh Talaee P. (2011), Analysis of trends in temperature data in arid and semi-arid regions of Iran, Global and Planetary Change, N.79 (1–2), pp. 1–10.
Taleb H. M., Sharples S. (January 2011), Developing sustainable residential buildings in Saudi Arabia: A case study, Applied Energy, N.88 (1), pp.  383-391.
Tso Geoffrey K.F., Yau Kelvin K.W. (2007), Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks, Energy, N.32, pp. 1761–1768.
www.amar.org.ir
www.shirazedc.co.ir 22.4.2011
Yaghoubi M., Sabzevari A.(April 1996), Further data on solar radiation in Shiraz Iran, Renewable Energy, N.7 (4), pp. 393–399
Yao, J., Zhu, N. (2011), Enhanced supervision strategies for effective reduction of building energy consumption–A case study of Ningbo, Energy and Buildings N.43 (9),pp.  2197-2202.
Zhai Z., Previtali J. M. (2010), Ancient vernacular architecture: characteristics categorization and energy performance evaluation, Energy and Buildings, N.42 (3), pp. 357-365.
Zhang Q. (2004), Residential energy consumption in China and its comparison with Japan, Canada, and USA, Energy and Buildings , N.36 (12), pp. 1217-1225.
 

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