ICPRE Tracks | ICPRE 分论坛

Track 10: Intelligent sensing air balancing technology for low-energy buildings 低能耗楼宇智能感知风平衡技术

Organizers / 组织者

Chair / 主席: Lisheng Wei (魏利胜)
Professor, Anhui Polytechnic University
教授, 安徽工程大学
Email: weilsh@ahpu.edu.cn
Co-Chair / 联合主席: Xin Li (李昕)
Associate Professor, Shanghai University
副研究员, 上海大学
Email: xli@shu.edu.cn
Co-Chair / 联合主席: Fanyong Cheng (程凡永)
Associate Professor, Anhui Polytechnic University
副教授, 安徽工程大学
Email: chengfanyong@ahpu.edu.cn

Abstract / 论坛简介

English: The increasing adoption of Heating, Ventilation, and Air Conditioning (HVAC) systems, which provide healthy and comfortable environments, presents new challenges and opportunities for air supply control technology. To address the rising energy consumption of HVAC systems, air balancing technology, which achieves supply-demand equilibrium, is particularly crucial. It helps improve indoor air quality (IAQ), reduce energy consumption, extend system lifespan, and lower noise levels. Advanced air balancing technologies include duct model-based air balancing, distributed air balancing, and AI-based learning air balancing. These technologies have a wide range of applications and offer significant energy-saving advantages. Intelligent control algorithms and smart sensing air valves serve as the core decision-making unit and the sensing/actuation devices of intelligent air balancing systems, respectively. Their performance and quality play a critical role in the operational effectiveness of intelligent air balancing systems, urgently requiring in-depth and innovative research.

中文: 提供健康舒适环境的供暖、通风与空调(HVAC)系统的日益增加给送风控制技术带了新的挑战和机遇。为应对日益增加的HVAC系统能耗,实现供需平衡的风平衡技术尤为重要,有助于改善室内空气品质、降低能耗、延长系统使用寿命以及降低噪音。先进的风平衡技术包括管道模型风平衡、分布式风平衡、智能学习风平衡等,其应用范围广泛,具有显著节能优势。智能控制算法和智能感知风阀是智能感知风平衡系统的决策中心和感知执行装置,其性能和品质对智能风平衡系统的运行性能起到至关重要的作用,亟待开展深入创新研究。

Topics / 主题范围

  • Experience TAB Air Balancing Techniques / 经验TAB风平衡技术
  • Physics-based Duct Model Air Balancing Technology / 基于物理管道模型的风平衡技术
  • Parameter Learning-based Air Balancing Technology / 基于参数学习的风平衡技术
  • Distributed Algorithm-based Air Balancing Technology / 基于分布式算法的风平衡技术
  • Reinforcement Learning-based Wind Balancing Technology / 基于强化学习的风平衡技术
  • Smart Air Damper Design Technology / 智能风阀设计技术
  • Airflow Measurement Device Design Technology / 风量测量装置设计技术
  • Intelligent Environmental Parameter Measurement Technology / 智能环境参数测量技术
  • Non-Inductive Terminal Unit Design Technology / 无感末端设计技术
  • Big Data Management Technology for Air Balancing / 风平衡大数据管理技术