分析了85台装有电子交流电机的风机盘管机组上的风机气流和风机电机功率数据，作为外部静压的函数，以开发一个部分负荷气流和功率模型，该模型可用于在构建仿真程序时估算风机盘管机组的能量。该模型是通过估算空气分配系统曲线与风机气流与制造商提供的外部静压曲线的交点来开发的。然后，这些交点被用于估算部分负荷气流和功率分数，参考风机盘管机组高气流设置下的气流和功率值。在高气流设置下，至少使用四个启动外部静压来定义多个系统曲线。然后对给定气流设置（中等和低）下这些系统与气流和功率曲线的交点进行平均，以确定每个设置下每个风机盘管机组的部分负荷气流和功率分数。 用这种方法生成的数据证明与制造商、电机尺寸和机柜方向（例如水平或垂直）无关。然后对所有部分负荷数据进行回归分析，并使用三次多项式拟合数据。然后将回归与理想的扇形定律曲线进行比较。引用:2021个虚拟会议技术论文

Fan airflow and fan motor power data as a function ofexternal static pressure on 85 fan-coil units with electronicallycommutated motors were analyzed to develop a part-loadairflow and power model that could be used to estimate energyuse of fan-coil units in building simulation programs. Themodel was developed by estimating the intersections of the airdistributionsystem curve with the fan airflow versus externalstatic pressure curves provided by the manufacturers. Theseintersections were then used to estimate part-load airflow andpower fractions referenced to the airflow and power values atthe high airflow setting of the fan-coil unit. At least four startingexternal static pressures at the high airflow setting wereused to define multiple system curves. The intersections ofthese system and airflow and power curves at a given airflowsetting (medium and low) were then averaged to determine thepart-load airflow and power fractions for each fan-coil unit ateach setting. The data generated with this method proved to beindependent of manufacturer, motor size, and cabinet orientation(e.g., horizontal or vertical). A regression analysis wasthen conducted on all the part-load data and a third-degreepolynomial was used to fit the data. The regression was thencompared to the ideal fan law curve.