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Characterizing Air Leakage in Parallel Fan-Powered Terminal Units 并联风机供电终端装置的漏风特性
对使用电子换向电机的六个并联风扇供电终端(FPTU)的漏气数据进行评估,以确定是否可以开发简单的漏气模型,用于建筑能耗模拟程序。这些数据来自Edmondson等人(2011年)的早期调查。8英寸和12英寸的单元。对三家制造商(20.3和30.5 cm)的一次入口进行了评估。分析包括下游静压、上游静压和一次气流对机组泄漏的影响。下游静压数据的范围约为0.1至0.5英寸。w、 g.(25帕至25帕),范围约为0.4至2.0英寸。w、 g.(100Pa至498Pa)用于上游静压。因为原始数据包括一些超出8英寸和12英寸预期运行范围的主要气流。(20.3和30.5厘米)FPTUs,数据集被缩减为仅包括这些尺寸机组预期一次气流运行范围内的数据。 所有原始泄漏数据都是通过FPTU扇形管收集的,只有一次空气流过该装置。未尝试量化不同泄漏源(如接缝、贯穿件或回吸阻尼器)的泄漏量。发现泄漏主要取决于下游静压力。泄漏和下游静压的简单回归得出了R平方值在0.80到0.96之间的相关性。当下游静压保持恒定时,泄漏气流与上游静压或一次气流变化不大。根据测量数据确定了三种泄漏分类:低、中、高。建立了将泄漏描述为每种分类下游静压力函数的相关性。对下游静压随一次气流面积变化的系统进行了计算,并给出了计算结果。 这些泄漏相关性可用于建立使用质量和能量平衡方法对FPTU建模的模拟模型。引文:2016年冬季会议,佛罗里达州奥兰多,2016年交易,第122卷第。1.
Air leakage data from six parallel fan-powered terminalunits (FPTUs) that used electronically commutated motorswere evaluated to determine if simple models of air leakagecould be developed for applications in building energy simulationprograms. The data were from an earlier investigationby Edmondson et al. (2011). Units with both 8 and 12 in.(20.3and 30.5 cm) primary inlets from three manufacturers wereevaluated. The analysis included the impact of downstreamstatic pressure, upstream static pressure, and primary airflowon the leakage from the units. Data for downstream static pressuresranged from approximately 0.1 to 0.5 in. w.g. (25 Pa to125 Pa) and ranged from approximately 0.4 to 2.0 in. w.g. (100Pa to 498 Pa) for upstream static pressures. Because the originaldata included some primary airflows outside the expectedrange of operation of the 8 and 12 in. (20.3 and 30.5 cm)FPTUs, the data set was reduced to include only data in theexpected primary airflow operating ranges of these sized units.All the original leakage data were collected with the FPTU fanoff and with only primary air flowing through the unit. Noattempt was made to quantify how much leakage was comingthrough differing sources of leakage, such as the seams, penetrations,or backdraft damper.Leakage was found to be primarily dependent on downstreamstatic pressure. A simple regression of leakage anddownstream static pressure yielded correlations with R squaredvalues from 0.80 to 0.96. Leakage airflow showedlittle variation with either upstream static pressure or primaryairflow when the downstream static pressure was heldconstant. Three leakage classifications were identified—low,medium, and high—based on the measured data. Correlationsthat describe the leakage as a function of downstream staticpressure for each classification were developed. Calculationsfor a system with downstream static pressures varying with thesquare of primary airflow were performed and resultspresented. These leakage correlations can be used in buildingsimulation models that use mass and energy balanceapproaches to modeling FPTUs.
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