This paper proposes an energy-saving oriented air balancing method based on a branch and black-box (B²) model for multi-zone demand controlled ventilation (DCV) systems. The proposed method can achieve accurate air flow control in each zone, which avoids unnecessary energy consumption caused by over-ventilation. The operating procedures of the proposed method are as follows: Building the B² model for the DCV system → Predicting the terminal static pressures under the given zone design flow values → Determining the damper angles of each zone based on the static pressure predictions. In the proposed air balancing method, the basic modelling unit is the duct branch, instead of the internal fittings in the previous model-based air balancing method. Therefore, the proposed method does not need to know the complicated fitting information (e.g., elbows, transitions, dampers, etc.,) in its modelling process and therefore becomes much simpler. In addition, the complexity of the proposed B² model is also greatly reduced since it is independent with the fitting numbers and does not need to calculate the fitting loss coefficients. Furthermore, the radial basis function (RBF) kernel is also utilized in the proposed method to guarantee the air balancing accuracy. Compared with the existing air balancing methods, the proposed method is more efficient and effective in practice. In the lab, the proposed air balancing method was validated on a real DCV system of 5 zones under various design flow conditions. The experimental results verified the effectiveness of the proposed method on both the air balancing control accuracy and the energy saving ability.

针对多区域需求控制通风（DCV）系统，提出了一种基于分支黑匣子（B ²）模型的面向节能的空气平衡方法。所提出的方法可以在每个区域实现精确的气流控制，避免了因过度通风而造成不必要的能耗。拟议方法的操作程序如下：构建B ²DCV系统的模型→在给定区域设计流量值下预测终端静压力→根据静压力预测确定每个区域的阻尼角。在提出的空气平衡方法中，基本建模单元是风管分支，而不是先前基于模型的空气平衡方法中的内部配件。因此，所提出的方法在其建模过程中不需要知道复杂的拟合信息（例如，弯头，过渡，阻尼器等），因此变得更加简单。另外，建议的B ²的复杂性由于它与拟合数无关，并且不需要计算拟合损耗系数，因此模型也大大减少了。此外，在所提出的方法中还利用了径向基函数（RBF）核来保证空气平衡的准确性。与现有的空气平衡方法相比，该方法在实践中更加有效。在实验室中，在不同设计流量条件下，在5个区域的真实DCV系统上对提出的空气平衡方法进行了验证。实验结果证明了该方法在空气平衡控制精度和节能能力方面的有效性。