Online adaptive control, diagnostics and intelligent operation of multizone heating ventilating and air conditioning systems

多区域供热通风空调系统在线自适应控制、诊断和智能运行

• 批准号: 36380-2007
• 负责人: Zaheeruddin, Mohammed
• 金额: $ 2.04万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2009
• 资助国家: 加拿大
• 起止时间: 2009-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=420957
• 关键词: Online; adaptive; control; diagnostics; intelligent

Heating ventilating and air conditioning (HVAC) systems in modern buildings consist of a large number of interconnected sub-systems, components and controllers to operate them. In such large systems it is very difficult for the operators to optimize the system operation by trial and error or locate faulty components manually. Inefficient operation coupled with faulty components increase energy consumption, shorten equipment life, and degrade indoor environment in buildings. Since HVAC systems consume nearly one half of total energy used in modern buildings, it is important to develop online strategies for energy optimal operation and diagnosis in order to minimize operating costs.

现代建筑中的暖通空调（HVAC）系统由大量相互连接的子系统、组件和控制器组成。在这样的大型系统中，操作员很难通过试错或手动定位故障部件来优化系统操作。低效率的操作加上故障部件增加了能源消耗，缩短了设备寿命，并降低了建筑物的室内环境。由于HVAC系统消耗了现代建筑物中使用的总能量的近一半，因此重要的是开发用于能量优化操作和诊断的在线策略，以最大限度地降低操作成本。