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Joint-Frequency Bins versus Conventional Bin Weather Data in Analysis of HVAC System Operation

机译:暖通空调系统运行分析中的联合频箱与常规箱天气数据

摘要

Often in simplified energy analysis the use of bin weather data is employed for a more time efficient and better organized analysis than using the full 8760-hour annual weather data. It has been suggested that joint-frequency bins be used instead of conventional bin data.Joint-frequency bins of dry bulb temperature and humidity ratio and conventional bin data are used in the analysis of the operation of four different HVAC systems in a prototype building using weather data from four climatic regions. In the case of 10% ventilation air, the analysis shows less than 3% difference in cooling between the use of the different bin methods. An increase of ventilation air to 40% increases the percent difference up to 10% difference in cooling requirements. From this study the use of joint-frequency bins has relative added value to the analysis of HVAC system operation depending on whether the system is dominated by ventilation loads.
机译:通常,在简化的能源分析中,与使用完整的8760小时年度气象数据相比,采用bin气象数据可以更省时,更有条理。有人建议使用联合频率箱代替常规箱数据。干球温度和湿度比的联合频率箱和常规箱数据用于分析使用原型建筑物的四个不同HVAC系统的运行情况来自四个气候区域的气象数据。在通风空气为10%的情况下,分析显示使用不同的箱柜方法之间的冷却差异不到3%。通风量增加到40%时,制冷需求的差异百分比将增加至10%。根据这项研究,根据系统是否以通风负荷为主导,使用联合频率箱对HVAC系统的运行分析具有相对附加的价值。

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