A Novel Air Balancing Method for HVAC Systems by a Full Data-Driven Duct System Model

Xin Zhang,Fanyong Cheng,Can Cui,Wenjian Cai

doi:10.1109/tie.2020.3040685

Abstract

Air balancing is an important technique in heating, ventilation, and air conditioning (HVAC) applications to achieve accurate air supply for satisfactory indoor air quality and better energy saving performance. The existing air balancing methods are usually based on a hybrid duct system model, which includes a data-driven duct system model between terminal flow and static pressure, and an American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) damper model between static pressure and terminal damper angle. Most of the existing methods just focus on how to improve the accuracy of the former part (i.e., the data-driven duct system model), whereas neglecting the latter. However, it is found that the ASHRAE damper model cannot exactly reflect the characteristics of the actual dampers in practice and may lead to unavoidable modeling errors. To fix this issue, this article develops a full data-driven duct system (FD 3 S) model to directly reveal the relationship between the terminal flow and terminal damper angle in the whole duct system. As a result, the desired terminal damper angle under the design flow conditions can be more accurately predicted. Besides, since the proposed method directly models the relationship between terminal flow and terminal damper angle, it avoids installing extra pressure sensors and reduces the operating cost. Besides, the proposed FD 3 S model greatly reduces the model complexity compared with the previous hybrid model. The proposed FD 3 S model-based air balancing method is fully tested on three real duct systems, and the results proved the effectiveness and generality of the proposed FD 3 S model-based air balancing method.

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