2024年HVAC(Heating,Ventilation and Air Conditioning,空气调节系统)现场设备市场规模预计为211.3亿美元,预计到2029年将达到287.2亿美元,在预测期内(2024-2029年)复合年增长率为6.3%。新冠肺炎疫情对暖通空调行业产生了重大影响,由...2024年HVAC(Heating,Ventilation and Air Conditioning,空气调节系统)现场设备市场规模预计为211.3亿美元,预计到2029年将达到287.2亿美元,在预测期内(2024-2029年)复合年增长率为6.3%。新冠肺炎疫情对暖通空调行业产生了重大影响,由于封锁限制和企业避免投资新设备,全球许多建设项目被迫暂停。展开更多
针对暖通空调(HVAC)系统难以控制的问题,提出一种基于m ax-product推理的M am dan i模糊模型预测控制策略.首先利用一步模糊预测模型的结构分析得到其解析表达式,获得系统在k+1时刻的线性化预测模型;然后基于模糊线性化模型进行模型预...针对暖通空调(HVAC)系统难以控制的问题,提出一种基于m ax-product推理的M am dan i模糊模型预测控制策略.首先利用一步模糊预测模型的结构分析得到其解析表达式,获得系统在k+1时刻的线性化预测模型;然后基于模糊线性化模型进行模型预测控制器设计.对HVAC系统的仿真和实验结果表明,该算法是一种跟踪性能好且鲁棒性强的有效控制算法.展开更多
There is potential to significantly reduce CO_(2) emissions by increasing the efficiency and reducing the duty cycle of HVAC systems by using smart booster fans and dampers.Smart booster fans fit in the vents within a...There is potential to significantly reduce CO_(2) emissions by increasing the efficiency and reducing the duty cycle of HVAC systems by using smart booster fans and dampers.Smart booster fans fit in the vents within a home,operating quietly on low power(2W)to augment HVAC systems and improve their performance.In this study,a prototype duct system is used to measure and evaluate the ability for smart booster fans and dampers to control airflow to different vents for the purpose of increasing the efficiency of HVAC systems.Four case studies were evaluated:an HVAC system(1)without any fans or dampers,(2)with a fan installed in one vent,but without any dampers,(3)with dampers installed at the vents,but without any fans,and(4)with both fan and dampers installed.The results from both the experi-mental and numerical evaluation show that the smart booster fan and dampers can significantly improve the airflow at a vent that is underperforming.For example,the airflow at the last vent in a ducting branch was increased from 17 to 37 CFM when a smart booster fan was installed at this vent.Results from the numerical analysis show that for the case of an underperforming vent during the winter season the HVAC running time may be reduced from 24 hr/day to 5.6 hr/day.Furthermore,results from the numerical analysis show the HVAC running time is further reduced to 4.5 hr/day for cases 3 and 4.展开更多
文摘2024年HVAC(Heating,Ventilation and Air Conditioning,空气调节系统)现场设备市场规模预计为211.3亿美元,预计到2029年将达到287.2亿美元,在预测期内(2024-2029年)复合年增长率为6.3%。新冠肺炎疫情对暖通空调行业产生了重大影响,由于封锁限制和企业避免投资新设备,全球许多建设项目被迫暂停。
文摘针对暖通空调(HVAC)系统难以控制的问题,提出一种基于m ax-product推理的M am dan i模糊模型预测控制策略.首先利用一步模糊预测模型的结构分析得到其解析表达式,获得系统在k+1时刻的线性化预测模型;然后基于模糊线性化模型进行模型预测控制器设计.对HVAC系统的仿真和实验结果表明,该算法是一种跟踪性能好且鲁棒性强的有效控制算法.
基金support from the Natural Sciences and Engineering Research Council of Canada.
文摘There is potential to significantly reduce CO_(2) emissions by increasing the efficiency and reducing the duty cycle of HVAC systems by using smart booster fans and dampers.Smart booster fans fit in the vents within a home,operating quietly on low power(2W)to augment HVAC systems and improve their performance.In this study,a prototype duct system is used to measure and evaluate the ability for smart booster fans and dampers to control airflow to different vents for the purpose of increasing the efficiency of HVAC systems.Four case studies were evaluated:an HVAC system(1)without any fans or dampers,(2)with a fan installed in one vent,but without any dampers,(3)with dampers installed at the vents,but without any fans,and(4)with both fan and dampers installed.The results from both the experi-mental and numerical evaluation show that the smart booster fan and dampers can significantly improve the airflow at a vent that is underperforming.For example,the airflow at the last vent in a ducting branch was increased from 17 to 37 CFM when a smart booster fan was installed at this vent.Results from the numerical analysis show that for the case of an underperforming vent during the winter season the HVAC running time may be reduced from 24 hr/day to 5.6 hr/day.Furthermore,results from the numerical analysis show the HVAC running time is further reduced to 4.5 hr/day for cases 3 and 4.
