The article is devoted to the actual problem: the study of human behavior in the house and its role in the overall life of the building in the field of energy consumption. The authors of the work seeks to follow the process of behavior of tenants. The article an analysis of the views of researchers aimed at developing various approaches to obtaining and modeling information about the behavior of people in buildings. As a research task, the authors determined an attempt to assess the potential for energy saving from human behavior in residential and commercial buildings. The paper presents modern data collection technologies for research related to human behavior. The question of modeling building occupancy by developing a software module, which could model different levels of occupancy of a building with people will continue to be controversial. The article summarizes some results of the most dominant parameters of modeling human behavior.As a result of the analysis, the authors identified basic moments and recommendations for future research.
An appropriate microclimate is one of the most important factors of a healthy and comfortable life. The microclimate of a place is determined by the temperature, humidity and speed of the air. Those factors determine how a person feels thermal comfort and, therefore, they play an essential role in people’s lives. Control of microclimate parameters is a very important topic for buildings, as well as greenhouses, where adequate microclimate is fundamental for best-growing results. Microclimate systems require adequate monitoring and maintenance, for their failure or suboptimal performance can increase energy consumption and have catastrophic results. In recent years, Fault Detection and Diagnosis in microclimate systems have been paid more attention. The main goal of those systems is to effectively detect faults and accurately isolate them to a failing component in the shortest time possible. Sometimes it is even possible to predict and anticipate failures, which allows preventing the failures from happening if appropriate measures are taken in time. The present paper reviews the state of the art in fault detection and diagnosis methods. It shows the growing importance of the topic and highlights important open research questions.
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