A method to estimate the heating and cooling degree-days for different climatic zones of Saudi Arabia
A method to estimate the heating and cooling degree-days for different climatic zones of Saudi Arabia
复制标题
沙特阿拉伯不同气候带的加热和冷却度日数估算方法
DOI：
10.1177/0143624416681383
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发表时间：
2017
影响因子：
1.7
通讯作者：
Djamel Boussaa
中科院分区：
文献类型：
--
作者：
Madhavi Indraganti;Djamel Boussaa
沙特阿拉伯的能源消耗正以天文数字的速度增长。沙特建筑规范规定了一个固定的基本温度为18.3℃，以估计加热和冷却的度天。本文利用2005-2014年的历史气象数据，给出了沙特阿拉伯所有五个居住气候带的代表性城市的供暖度日和制冷度日估算值。我们在达兰、古里亚、吉达、哈米斯穆沙伊特和利雅得等城市使用14℃、16℃和18℃的基础温度作为加热度日，18℃、20℃、22℃、24℃和28℃的基础温度作为冷却度日。我们开发了这些区域在不同基础温度下的加热度日和冷却度日的多元回归模型。在输入数据有限的情况下，类似气候条件下的其他城市的度数可以用这些来计算。基温在18℃基础上降低2 K，加热度-天减少33-65%。在基温为14℃时，加热要求降低60-95%。基温在18℃基础上升高2 K，冷却度-天降低16-38%。在28℃的基温下，哈密斯木沙特可以完全消除制冷，在其他城市可以减少65-92%。这一观察结果值得重新考虑使用适当的基础温度，以适当地联系室外环境，以减少能源消耗。实际应用：利用历史数据，我们开发了回归模型，用于在没有历史数据的情况下预测沙特阿拉伯不同气候带五个城市的供暖和制冷度日。使用这些，我们可以估计由于基础温度的变化而导致的加热/冷却负荷的变化。例如，将基础温度从18℃降低2-4 K可使hdd降低33-95%，将基础温度从18℃升高2-4 K可使cdd降低16-68%。
Saudi Arabia’s energy consumption is increasing astronomically. Saudi Building Code prescribes a fixed base temperature of 18.3℃ 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℃, 16℃ and 18℃ for heating degree-days, and 18℃, 20℃, 22℃, 24℃ and 28℃ 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 2 K from 18℃ reduced the heating degree-days by 33–65%. At 14℃ of base temperature, the heating requirement reduced by 60–95%. Elevating the base temperature by 2 K from 18℃ lowered the cooling degree-days by 16–38%. At 28℃ 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 2–4 K from 18℃ reduces the HDDs by 33–95% and elevating the base temperature by 2–4 K from 18℃ lowered the CDDs by 16–68%.