The present study presents the bin weather data for four cities in the tropical region and its significance in the building energy analysis. The bin weather data for four cities in Malaysia, which are Bayan Lepas, Kuala Terengganu, Senai and Kuching, were generated. The bin weather data are in the range from 18 to 38 °C with 2 °C intervals and tabulated based on six 4-h shifts. Since there is a lack of updated bin weather data in Malaysia, the present paper provides valuable data for engineers and designers to conduct an energy analysis using the bin method in this region. This data may also serve as an important reference for all tropical regions with similar weather characteristics. Energy analysis is an important tool for estimating the energy usage of a building in order to minimize energy wastage and maximize energy efficiency. The significance of applying bin weather data in energy analysis is also investigated using a case simulation. When the mean outdoor temperature of occupied period is used in simulation, the results deviate less than 1.6% from the results with the bin weather data, but the deviation rises up to 16.68% with the use of the annual mean outdoor dry bulb temperature.

中文翻译：

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Bin天气数据在热带地区建筑能耗分析中的应用

本研究介绍了热带地区四个城市的bin气象数据及其在建筑能耗分析中的意义。生成了马来西亚四个城市（巴彦Le巴，瓜拉丁加奴，士乃和古晋）的bin气象数据。箱仓天气数据的范围为18至38°C，间隔为2°C，并根据六个4小时制表。由于马来西亚缺乏更新的箱仓天气数据，因此本文为工程师和设计人员提供了宝贵的数据，以便工程师和设计人员在该地区使用箱仓法进行能源分析。该数据也可以作为所有具有相似天气特征的热带地区的重要参考。能源分析是评估建筑物能源使用情况的重要工具，以最大程度地减少能源浪费和能源效率。还使用案例模拟研究了将bin天气数据应用于能源分析的重要性。在模拟中使用占用期的平均室外温度时，结果与bin天气数据的结果相差不到1.6％，但使用年度室外平均干球温度，偏差会上升到16.68％。