A novel data-driven air balancing method with energy-saving constraint strategy to minimize the energy consumption of ventilation system

• Main Authors: Cheng, Fanyong, Cui, Can, Cai, Wenjian, Zhang, Xin, Ge, Yuan, Li, Bingxu
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Ventilation System; Air Balancing
• Online Access: https://hdl.handle.net/10356/160343
• Institution: Nanyang Technological University

Air balancing is a key technology to reduce energy consumption of ventilation system and improve the quality of indoor living environment. So far, most of the existing data-driven non-iterative air balancing methods only focus on the prediction of terminal damper angle to supply appropriate airflow,...