Siberian Federal University

Issue

Journal of Siberian Federal University. Engineering & Technologies. 2025 18 (3)

Authors

Borodin, Nikolay K.; Kulagin, Vladimir A.

Contact information

Borodin, Nikolay K.: «Krasnoyarsk Heating Network» (branch of OJSC Yenisei TGC (TGC‑13) Krasnoyarsk, Russian Federation; Kulagin, Vladimir A.: Siberian Federal University Krasnoyarsk, Russian Federation;

Keywords

thermal networks; technological process; modernization of energy; neural network convergence technologies

Abstract

One of the directions of energy saving in district heating systems is the improvement of schemes and parameters of heat networks, including through the regulation of the technological process at heating stations. The study of operating modes of such heat networks, which are a link between heat sources and consumers, provides for the adoption of specific design and technological solutions that contribute to the saving of heat and electricity. In the operation of heat supply systems, there are often situations when heat supply complexes, designed with equipment meeting modern requirements, demonstrate low reliability and efficiency associated with other technological parameters. Therefore, improving the methodology for selecting new and improving the efficiency of existing heat networks is an urgent task, the solution of which will improve the quality and reliability of district heating systems as a whole, which corresponds to one of the strategic directions of Russia’s development – modernization of the energy sector and improving the energy efficiency of heat supply systems. Improvement of technological process regulation at heating stations in heat supply systems is possible due to the application of neural network convergence technologies

Pages

300–324

EDN

LGAVIM

Paper at repository of SibFU

https://elib.sfu-kras.ru/handle/2311/156044

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).