282. Evaluation and Control of Indoor Air Quality (IAQ) Problems in Buildings with Heat Pump HVAC Systems

1999 ◽  
Author(s):  
P. Roy ◽  
T. White
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Heat Pump ◽  
Indoor Air ◽  
Hvac Systems ◽  
And Control

scholarly journals Distributed Control of Multizone HVAC Systems Considering Indoor Air Quality

2021 ◽  
pp. 1-12
Author(s):  
Yu Yang ◽  
Seshadhri Srinivasan ◽  
Guoqiang Hu ◽  
Costas J. Spanos
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Distributed Control ◽  
Indoor Air ◽  
Hvac Systems

HVAC Systems and Indoor Air Quality

1993 ◽  
Vol 2 (4) ◽  
pp. 204-212 ◽  
Author(s):  
M. Rolloos
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Hvac Systems

Indoor air: quality and control

1993 ◽  
Vol 31 (04) ◽  
pp. 31-2133-31-2133
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
And Control

Indoor air quality: Sources and control

1985 ◽  
Author(s):  
Richard G. Sextro ◽  
Anthony V. Nero ◽  
David T. Grimsrud
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
And Control

Ventilation online monitoring and control system from the perspectives of technology application

2019 ◽  
Vol 29 (4) ◽  
pp. 587-602 ◽  
Author(s):  
Hao-Cheng Zhu ◽  
Chuck Wah Yu ◽  
Shi-Jie Cao
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Online Monitoring ◽  
Prediction Models ◽  
Computing Time ◽  
Monitoring And Control ◽  
Saving Energy ◽  
Technology Application ◽  
And Control

Dynamic optimal airflow ventilation can have a great impact on the indoor air distribution and pollutant removal to improve the indoor air quality while saving energy. An online monitoring and control ventilation system has been developed and evaluated using fast prediction models and micro-control. An environmental chamber (1.8 m3) was used for the evaluation to monitor the CO2 dispersion under different air change rates and air speed. Specifically, an artificial neural network model based on a low-dimensional linear ventilation model was introduced and validated to provide environmental control and rapid prediction of pollutant concentration distribution in the indoor environment, which can save computing time and significantly enhance energy saving efficiency up to 16–47%. The validation was carried out by comparison with measurement data of the chamber experiment. An induction system was applied to locate and monitor the personnel in the office due to pollution that are generated by people. A ZigBee wireless module would transmit location information of pollutant source (i.e. CO2 generated by occupants) and to determine the optimal ventilation mode based on ventilation assessment to achieve automatic control of indoor air quality to ensure the wellbeing of occupants while saving energy.

Sign in / Sign up

Export Citation Format

Share Document