An air balancing method using support vector machine for a ventilation system

• Main Authors: Jing, Gang, Cai, Wenjian, Chen, Haoran, Zhai, Deqing, Cui, Can, Yin, Xiaohong
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Ventilation System; Air Balancing
• Online Access: https://hdl.handle.net/10356/141020
• Institution: Nanyang Technological University

In this paper, support vector machine method is introduced to solve air balancing problem for ventilation systems and a novel non-iterative air balancing method is presented. The proposed method provides a well-formulated form of air balancing problem for air ventilation system by i) building a mathematical model for duct system based on steady-state pressure balance; ii) constructing a pressure prediction model based on the system model and theory of support vector machine; iii) identifying the significant model parameters by support vector machine regression supervised machine lssearning; and iv) determining the damper positions based on the formulated model. The performance of the method is validated experimentally in a duct testbed with five terminals. The results demonstrate that the method can achieve the desired values within 4.6% relative error and is a promising approach for air balancing.