A method to estimate the heating and cooling degree-days for different climatic zones of Saudi Arabia

被引:38
作者
Indraganti, Madhavi [1 ]
Boussaa, Djamel [1 ]
机构
[1] Qatar Univ, Architecture & Urban Planning Dept, Doha, Qatar
关键词
Saudi Arabia; energy consumption; degree-days; heating and cooling; regression models; sustainable practices; ENERGY-CONSUMPTION; TEMPERATURE;
D O I
10.1177/0143624416681383
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Saudi Arabia's energy consumption is increasing astronomically. Saudi Building Code prescribes a fixed base temperature of 18.3 degrees C to estimate the heating degree-days and cooling degree-days. Using historical meteorological data (2005-2014), this article presents the heating degree-days and cooling degree-days estimated for the representative cities in all the five inhabited climatic zones of Saudi Arabia. We used the base temperatures of 14 degrees C, 16 degrees C and 18 degrees C for heating degree-days, and 18 degrees C, 20 degrees C, 22 degrees C, 24 degrees C and 28 degrees C for cooling degree-days for Dhahran, Guriat, Jeddah, Khamis Mushait and Riyadh cities. We developed multiple regression models for heating degree-days and cooling degree-days at various base temperatures for these zones. Degree-days for other cities in similar climates with limited input data can be computed with these. Lowering of base temperature by 2K from 18 degrees C reduced the heating degree-days by 33-65%. At 14 degrees C of base temperature, the heating requirement reduced by 60-95%. Elevating the base temperature by 2K from 18 degrees C lowered the cooling degree-days by 16-38%. At 28 degrees C of base temperature cooling can be completely eliminated in Khamis Mushait, and reduced by 65-92% in other cities. This observation merits rethinking about use of appropriate base temperatures that properly link the outdoor environment to reduce the energy consumption. Practical application: Using historical data, we developed regression models for predicting heating and cooling degree-days for five cities of Saudi Arabia in various climate zones without the historic data. Using these, we can estimate the changes in heating/cooling load due to the variation in base temperatures. For example, lowering base temperature by 2-4K from 18 degrees C reduces the HDDs by 33-95% and elevating the base temperature by 2-4K from 18 degrees C lowered the CDDs by 16-68%.
引用
收藏
页码:327 / 350
页数:24
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