Dynamic models of energy flows of buildings are in the context of functioning of the engineering’s systems and business activity of users
Functionality of Smart Houme has certain limitations, among which is the inability to analyze the activity of the residents, determine its impact on energy consumption, identify the physical state of the user by his activities. There are no solutions that would be able to solve this
problem today. One approach is to use the activity analysis of binary motion sensors. The advantage of this approach is the low cost of implementation and privacy of the residents. The system functions in real time.
The purpose of the work is to develop new approaches in managing the dynamics of energy flows of a building, taking into account the peculiarities of the functioning of engineering systems under real environmental conditions, market factors and the specifics of the demand for comfortable, energy efficient and safe conditions for working with an active user.
As a result of the research, the scientific and technical task of studying the dynamics of energy flows of a building is solved, as a result of the manifestation of user activities and modes of functioning of the engineering infrastructure, the identification of possibilities for optimization of energy consumption, the diagnosis of the physical state of the user by the nature of the infrastructure functioning.
The results will provide energy researchers with new opportunities in designing energy systems for residential and office sectors to optimize the structure and functionality of engineering systems in buildings.
The technical significance of the research is related to the development of methods for managing the engineering (in particular, energy) infrastructure of the building for the implementation of energy-efficient modes of its operation, analysis of energy consumption schedules and optimization of consumption by the criterion of financial costs, recognition of abnormal modes of operation of engineering infrastructure, for example, with poor health or well-being of the user. This will enable the implementation of the functions of tracking abnormal situations involving children, people with disabilities, the elderly and prevent negative consequences (damage to equipment, electric shock, fire, gas poisoning, etc.).