This paper disaggregated electricity demand measured by a building energy management system with a 1-hour resolution into four components representing electricity consumption of appliances operated continuously and those operated depending on the activity undertaken in buildings with/without a seasonal variation. The paper showed the usefulness of the disaggregation method by quantifying indicators that represent characteristics of electricity demand in different sectors.
The BEST calculation model of the coils is general method utilizing heat transfer coefficient and coefficient of wetted surface. In this part 242, the effects of AHU coil characteristic on whole building simulation is investigated. The new AHU coil characteristic contributes to the improvement of the whole building simulation, and in particular, to prevent the hunting of low load.
Basic analysis of the effect of natural ventilation and night purge using the thermal storage of a building mass is verified by utilizing BEST in an office building. The office building for study is installed the thermo active building systems (TABS). This paper is confirmed that a result of a measurement regarding natural ventilation is satisfied with a target performance in the design phase.
This paper is about changes of occupants' indoor environment control behavior by information provision. The information provision experiment was carried out in a room for graduate students. Electricity consumption, length of time staying inside the room, and other information about energy conservation were provided to the subjects. By comparing their behavior before and after the starting of information provision, changes of their environment control behavior were observed.
In order to grasp electricity consumption of multiple buildings easily, the 65 buildings on campus were classified based on the electricity consumption pattern using Clustering. And then, for the automation of understanding the consumption characteristics, It was examined whether the result of pattern classification can be accountable by using Random forest. As a result, the relationship between pattern classification and the feature amount can be observed in humanities facilities.