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首页> 外文期刊>Building and Environment >An energy exchange efficiency prediction approach based on multivariate polynomial regression for membrane-based air-to-air energy recovery ventilator core
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An energy exchange efficiency prediction approach based on multivariate polynomial regression for membrane-based air-to-air energy recovery ventilator core

机译：基于多元多项式回归的基于膜的空对空能量回收呼吸机芯换能效率预测方法

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摘要

Air-to-air energy recovery ventilators (AERVs) are widely applied in building heating, ventilation, and air conditioning (HVAC) systems to reduce energy consumption by reducing heating and cooling loads caused by ventilation. Its energy exchange efficiency data are typically acquired experimentally and are time consuming to be applied to engineering fields when the number of working scenarios to be tested is large. Instead of manual labor and time, detailed numerical calculation methods require the characteristic information of the membrane material, which is difficult for manufacturers to provide. Hence, an energy exchange efficiency prediction approach based on a multivariate polynomial regression model is proposed herein to predict the energy exchange efficiency of the membrane-based AERV (MERV) core. In the proposed approach, a simplified numerical efficiency calculation model of a cross-flow air-to-air enthalpy exchanger is trained with a small sample of experimentally measured efficiency data. Subsequently, the trained model is adopted to predict the energy exchange efficiency of the MERV core made of the same membrane, under other flowrates and structures. As verified by the experimental data, the proposed approach can predict the energy exchange efficiency with absolute deviation limits within +/- 8.0%. Compared to detailed numerical calculation methods, the proposed approach requires less membrane characteristic information and calculations; thus, the proposed approach is practical for engineering applications to simulate the equipment performance over different conditions and help sizing the equipment with less requirements.
机译：空对空能量回收通风机（AERV）广泛应用于建筑物的采暖，通风和空调（HVAC）系统，以通过减少通风引起的供热和制冷负荷来降低能耗。它的能量交换效率数据通常是通过实验获取的，并且在要测试的工作方案数量很大时，将其应用于工程领域非常耗时。代替人工和时间，详细的数值计算方法需要膜材料的特性信息，这对于制造商而言是难以提供的。因此，本文提出了基于多元多项式回归模型的能量交换效率预测方法，以预测基于膜的AERV（MERV）核的能量交换效率。在提出的方法中，使用少量的实验测量效率数据来训练横流空气-空气焓交换器的简化数值效率计算模型。随后，采用训练后的模型来预测在其他流速和结构下由同一膜制成的MERV芯的能量交换效率。如实验数据所证实的，所提出的方法可以预测能量交换效率，绝对偏差限制在+/- 8.0％以内。与详细的数值计算方法相比，该方法所需的膜特性信息和计算量更少。因此，所提出的方法对于工程应用是实用的，以在不同条件下模拟设备性能并帮助以较少的需求确定设备的尺寸。

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