Leaks and imbalances in regional heating systems reduce energy efficiency, leading to both increased costs and reduced customer satisfaction. In order to develop an innovative solution to these problems, the project initiated by Prof. Dr. Mousa Mohammadpourfard from the Energy Systems Engineering Department of our institute puts machine learning technologies into action.

This project, titled “Smart Heating System Management”, aims to quickly and accurately detect leaks in heating systems, provide balanced heat distribution, and prevent problems from growing. During the project, a small-scale regional heating system will be installed in a laboratory environment, and data will be collected through various sensors. Thanks to the artificial intelligence algorithms to be developed with this collected data, problems in the system will be detected at an early stage and intervened.

A web-based interface will also be developed in the project that allows instant monitoring of the general status and efficiency of the system. This interface will be designed to warn in case of leaks, visualize system statistics, and contribute to balancing.

This study, which is supported by a budget of 2 million TL and will last for 24 months, aims to both increase energy efficiency and ensure the sustainability of heating systems. The model that will emerge as a result of the project is considered to be adaptable on an industrial scale and is a big step for the energy sector.