Control and industrial automation
Control strategies for dynamic technological processes, programmable controllers, industrial networks and the integration of field equipment with supervisory software.
Research · Department of Automation of Energy Processes
Control engineering for energy and industry
We study how physical processes, data and control systems work together. Our research connects mathematical modelling and experiments with the design of automation systems for energy facilities, buildings and industrial processes.
Control strategies for dynamic technological processes, programmable controllers, industrial networks and the integration of field equipment with supervisory software.
Mathematical and computer models of energy systems and equipment, including the use of simulations to investigate operating conditions and control strategies.
Analysis of operating data and vibration signals, fault detection and predictive diagnostics for energy equipment.
Energy modelling, heat-pump systems and approaches to efficient and resilient heat and energy supply.
Our work spans funded research, publications and applied engineering projects. These examples show the range of questions our researchers address:
Vladyslav Temchur’s doctoral research studied neural-network analysis of vibration signals to identify electric motor faults and support maintenance decisions. He defended the dissertation in 2026.
Research presented at CPOTE 2026 used exergy analysis to investigate malfunctioning components and the effect of maintenance on a building heat-pump system.
A published study explores a digital-twin-based smart heating system using a condensing boiler.
A state-funded research project addresses resilient energy supply for territorial communities using the Smart Energy Systems concept.
Other work described by the department includes energy modelling for historic building renovation, digital twins for decarbonisation, server cooling control and low-temperature heat supply. Explore individual engineering projects and published research for details.
We welcome discussion with researchers, doctoral applicants and industry partners about shared questions in automation and energy. Doctoral research combines independent investigation with the educational component of the university’s programme; potential projects and supervision should be discussed with the department.