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Current indoor thermal environment is usually automatically controlled based on a temperature set-point given by room occupants or building managers. However, investigation shows that many temperature set-points are far from the comfortable temperature range recommended by design handbooks. Such unreasonable temperature set-points will result in not only uncomfortable indoor thermal environment, but...
Various lighting and blind control methods have been presented to improve user comfort and reduce energy consumption simultaneously. However, there are opportunities to improve control performances by introducing more recent information and machine learning technologies which allow more comprehensive consideration of the balance between user comfort and system energy consumption. To be more specific,...
Building Automation Systems (BASs) have been developed to provide a safe, comfortable, and energy-efficient indoor environment for households. A tremendous volume and enormous variety of building data are collected and stored in BASs. However, these data could not be completely utilized by traditional data analytics due to the huge volume and heterogeneous nature. In this paper, case studies are carried...
In this showcase, a satisfaction based group comfort control system is introduced based on our previous work. The key feature of this system is that the occupant perception of the indoor thermal environment is used as feedback signal to the control system in for a group of occupants in office buildings.
The set point of the Heating, Ventilating and Air Conditioning (HVAC) system is usually given by the Predicted Mean Vote (PMV) model. However, the individual differences in thermal preference often incur dissatisfactions in a group, which indicates that the PMV model may have bias in predicting the thermal comfort for a group of occupants. It has great potential to find a more suitable model to determine...
Heating, Ventilating and Air Conditioning (HVAC) systems are used to provide adequate thermal comfort to occupants of spaces within buildings. The well-recognized PMV model which represents the ‘predicted mean vote’ (on the thermal sensation scale) of a large population of people exposed to a certain environment is often used by design engineers to determine the size and capacity of HVAC system. In...
The drastic growth in the consumption of electrical household appliances becomes a concerned issue in recent years. It is difficult for traditional methods to consider both subject's comfort and energy savings. Moreover, different people have different comfort preferences and requirements. In this paper, a novel integrated control method of blind and lights is proposed and it can provide an intelligent...
Intelligent building system attracts more and more attention in both academic and industrial communities. Learning human comfort requirements and incorporating it into building control system is one of the important issues. In the traditional HVAC control system, the thermal comfort and the acoustic comfort are often conflicted and we lack of a scheme to trade off them well. In this paper, we propose...
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