Estimation of degree-days for different climatic zones of North-East India

被引:51
作者
Borah, Pallavi [1 ,2 ]
Singh, Manoj Kumar [3 ]
Mahapatra, Sadhan [1 ]
机构
[1] Tezpur Univ, Dept Energy, Tezpur 784028, Assam, India
[2] Bineswar Brahma Engn Coll, Dept Elect Engn, Kokrajhar 783370, Assam, India
[3] Univ Liege, Local Environm Management & Anal LEMA, Dept ArGEnCo, Fac Sci Appl, B-14000 Liege, Belgium
关键词
Heating degree-days; Cooling degree-days; North-East India; OPTIMUM INSULATION THICKNESSES; COOLING DEGREE-DAYS; HEATING DEGREE-DAYS; TEMPERATURE; IMPACT; DEMAND; WALLS; LOAD;
D O I
10.1016/j.scs.2014.08.001
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Efficient use of energy in buildings has become a necessity due to increasing heating and cooling energy demand. Degree-days are a versatile climatic indicator that can be used to estimate the heating and cooling energy requirement for a building. In this study, heating degree-days (HDD) and cooling degree-days (CDD) are estimated for warm and humid, cool and humid and cold and cloudy climatic zones of North-East India. The daily maximum and minimum temperature data are collected from Regional Meteorological Centre, Guwahati. The degree-days are calculated by using three different methods, i.e. ASHRAE formula, UKMO equations and Schoenau-Kehrig method for different base temperatures. It has been found that there is a variation in degree-days obtained from the above methods in the respective climatic zone and also varies from zone to zone. The degree-days are also estimated on hourly basis based on Typical Meteorological Year (TMY) data for validation. Generalized equations are developed by using multiple linear regression technique to estimate the degree-days and those satisfied the statistical tests are proposed. The developed equations can be used to obtain degree-days of locations in same climatic zone for which daily temperature data are not available, with a fair accuracy. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:70 / 81
页数:12
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