indoor environment

Buildings typically are expected to provide their inhabitants with the opportunity to influence the indoor environment using various control devices. These include, for example, windows, luminaires, radiators, and shading elements. The quality and adequacy of the indoor environment is thus dependent on the availability and effectiveness of such devices. There is arguably a lack of generally agreed-upon evaluation procedures for this aspect of buildings' indoor environment, namely its controllability by building users, or – in the terminology of Human Ecology – its "ecological valency".

The present talk will present some of the initiatives from ASHRAE regarding “smart” in general and then focus on indoor environmental activities related to “smart” ventilation. The ASHRAE society theme for 2018/19 is “Building Our New Energy Future”. In the future, our buildings will be interconnected through a “Smart Grid” in general the electricity grid.

Building automation systems provide potential to optimise the energy consumption of buildings as well as to detect failures in the operation of buildings. Providing the occupants with control over the indoor environment is widely accepted to positively affect the occupant’s satisfaction. The system building-HVAC-automation-user is becoming more complex. So what does the term ‘perceived control’ really mean? Psychological constructs from social learning theory and personality psychology transferred to the field of personal control of the indoor environment will be discussed.

In the preceding companion paper (Part I), a method with one sensor that could identify the indoor contaminant source location and strength in short time was presented. On the basis of further theoretical study, a method with two sensors is presented in this paper to identify contaminant source with higher accuracy. This paper demonstrates how to use the method with two sensors to find the location of contaminant source in a threedimensional room. In addition, the accuracy of two types of methods was compared.

In case contaminants are released in occupied rooms, it is necessary to determine the contaminant source location and strength rapidly so that prompt response measures can be taken to protect indoor occupants. This paper presents a new method with one sensor to identify the contaminant source location and strength. It completes the time-consuming computational fluid dynamics (CFD) simulations before the release event, and finds the source in real time during the event. In addition, an index called “correctness probability” for evaluating the accuracy of this method is proposed.