The present study presents the climate change impacts on bin weather data and bin method for the city of Senai, Malaysia. Seventeen case simulations were conducted to analyse its impacts on the results of the HVAC energy analysis and determine the suggested lifespan for the bin weather data of Senai. The graph of the mean temperatures has shown a significant increasing trend signalling the occurrence of climate change. Taking the year of 2001 as the baseline, the differences in the number of occurrence hours were grouped into two ranges, which are low temperature (18 °C to 28 °C) and high temperature (28 °C to 38 °C). In 2016, a significant 9.7% of temperature data for the year has switched from low temperature to high temperature. From the case simulations conducted, the annual energy consumption has shown an increasing trend. By using the case simulation of 2018 as the baseline, the degree of deviation ranges from 9.68% to 7.44%. The 10 years of lifespan are suggested at the end of the present study because 75% of the bin weather data beyond 10 years used in the case simulations have a percentage change above 5%.

本研究介绍了气候变化对马来西亚士乃市 bin 天气数据和 bin 方法的影响。进行了 17 次案例模拟，以分析其对 HVAC 能源分析结果的影响，并确定士乃垃圾箱天气数据的建议寿命。平均温度图表显示出显着增加的趋势，表明气候变化的发生。以2001年为基线，将发生小时数的差异分为低温（18℃～28℃）和高温（28℃～38℃）两个区间。2016 年，全年有 9.7% 的气温数据已从低温转为高温。从进行的案例模拟来看，年能耗呈上升趋势。以2018年的案例模拟为基准，偏差程度在9.68%到7.44%之间。在本研究结束时建议使用 10 年的寿命，因为案例模拟中使用的 10 年以上的 bin 天气数据中有 75% 的百分比变化超过 5%。