A novel laboratory set-up for investigation of intelligent automatic control in complex HVAC systems

Abstract

This paper presents a new laboratory setup for the airconditioning operation analysis in the Laboratory for Automatic Control at the Faculty of Mechanical Engineering, University of Belgrade. The new HVAC laboratory is designed to investigate different complex HVAC system working regimes and to provide desired space comfort. The emphasis is specially given to an impact on energy consumption. The laboratory setup is designed to operate in the complex, dynamic regimes, when indoor environment parameters are intensively changed, together with a change of outdoor conditions. In order to minimize energy consumption, a new software and various automatic control algorithms are designed for automatic control of the air handlig unit.

A Data-Driven Identification Procedure for HVAC Processes with Laboratory and Real-World Validation

“…It is very beneficial not only from the practical point of view, but also due to time and cost effectiveness, to use an adequate physical model which could be used as a mean to simulate, develop and improve identification and control algorithms (such as e.g., in [27,28]). For this purpose we used our case study equipment-a laboratory HVAC system.…”

Applying methods of machine learning in the task of intrusion detection based on the analysis of industrial process state and ICS networking

“…A process controlled by an ICS is usually characterized by a significant number of parameters [7,8], the regulatory values of which can vary during changing the process structure. Manual creation of rules describing the normal industrial process operation and normal network interaction scenarios is high costs and requires knowledge of a specific ICS structure.…”