Development and application of linear ventilation and temperature models for indoor environmental prediction and HVAC systems control

C Ren, SJ Cao - Sustainable Cities and Society, 2019 - Elsevier
It has been of great importance to develop better control techniques for heating, ventilation
and air conditioning (HVAC) systems to provide occupancy driven energy and comfort …

Fast prediction for multi-parameters (concentration, temperature and humidity) of indoor environment towards the online control of HVAC system

HC Zhu, C Ren, SJ Cao - Building Simulation, 2021 - Springer
Heating, ventilation and air conditioning (HVAC) systems are the most energy-consuming
building implements for the improvement of indoor environmental quality (IEQ). We have …

Implementation and visualization of artificial intelligent ventilation control system using fast prediction models and limited monitoring data

C Ren, SJ Cao - Sustainable Cities and Society, 2020 - Elsevier
Coupling modelling and monitoring has always been a very challenging task aiming for
indoor air pollution control towards the construction of safe, healthy and energy-efficient …

Energy savings by smart utilization of mechanical and natural ventilation for hybrid residential building model in passive climate

RZ Homod, KSM Sahari - Energy and Buildings, 2013 - Elsevier
This paper focuses on the efficiency of controlling building internal temperature and relative
humidity by ventilation and infiltration flow rate. Building model is inevitable to study the …

Ventilation control strategy using low-dimensional linear ventilation models and artificial neural network

SJ Cao, C Ren - Building and Environment, 2018 - Elsevier
Abstract Directly using CFD (Computational Fluid Dynamics) for ventilation prediction and
control is time-consuming and data-storage-expensive. Construction of linear system is of …

[HTML][HTML] Deep learning and computer vision based occupancy CO2 level prediction for demand-controlled ventilation (DCV)

S Wei, PW Tien, TW Chow, Y Wu, JK Calautit - Journal of Building …, 2022 - Elsevier
The present study investigated the potential of the application of a live occupancy detection
approach to assist the operations of demand-controlled ventilation (DCV) systems to ensure …

Occupant-centered real-time control of indoor temperature using deep learning algorithms

S Jung, J Jeoung, T Hong - Building and Environment, 2022 - Elsevier
This study aims to propose Real-COMFORT-a novel occupant-centered real-time indoor
temperature control system using deep learning algorithms to simultaneously optimize the …

Predictive control of indoor environment using occupant number detected by video data and CO2 concentration

F Wang, Q Feng, Z Chen, Q Zhao, Z Cheng, J Zou… - Energy and …, 2017 - Elsevier
The application of big data technology in the field of indoor environment can be expected to
achieve creative control. A feasible application is the data fusion of temperature, humidity …

An occupant-centric control strategy for indoor thermal comfort, air quality and energy management

Z Wang, J Calautit, PW Tien, S Wei, W Zhang, Y Wu… - Energy and …, 2023 - Elsevier
Abstract Recently, Occupant-Centric Control (OCC) strategies have gained mounting
interest. Previous studies made use of OCC strategies for adjusting the operation of …

State-of-the-art, challenges and new perspectives of thermal comfort demand law for on-demand intelligent control of heating, ventilation, and air conditioning systems

X Zhao, Y Yin, Z He, Z Deng - Energy and Buildings, 2023 - Elsevier
The indoor thermal environment in buildings, industry, and other fields greatly affects human
thermal comfort, productivity, energy consumption, and even health. The heating, ventilation …