BR24992907 — Software development to digitalize and optimize heat supply system operation in Kazakhstan's cities

Goal of the work: Development of a software product for the digital twin of the urban heating network

Relevance of the work: The effectiveness of the project lies in the development of a software product for digitalization and optimization of heat supply systems in cities of Kazakhstan, which reduces accidents, increases energy efficiency and ensures transparent operational management of heating networks.

Scientific supervisor: Doctor of Technical Sciences, Professor, Uzak Kairbekovich Zhapbasbayev

Results obtained:  In 2025, according to the project plan, a database structure was developed for the digitalization of district heating system assets, including data on buildings, network nodes, and operational parameters. The system supports storage and processing of historical data with different time resolutions for modeling and analysis. Mathematical models and algorithms for network topology analysis, flow and temperature calculations with heat losses were developed, along with adjustment and verification modules. A user interface with visual components for data input, editing, and analysis, including graphical representation of the network, was implemented. Export functionality to MS Word and MS Excel with automated report generation was developed. The heating network of Almaty city was digitized, enabling comprehensive thermo-hydraulic calculations. Initial work on a GIS-based digital twin was also carried out to integrate spatial and technical data for system analysis.

List of publications with links to them

1. Bekibayev T. Identification of resistance coefficients for section of water pipeline network in case of intermediate withdrawals or injections of water // Engineered Science. – 2025. – Vol. 36. – Article 1583. – DOI: https://doi.org/10.30919/es1583.
2. Zhapbasbayev U., Bekibayev T., Ramazanova G., Akasheva Zh. A digital twin of hot pumping waxy oil through a main pipeline // Energies. – 2025. – Vol. 18. – Article 202. – DOI: https://doi.org/10.3390/en18010202.
3. Balakayeva G., Zhanuzakov M., Zhapbasbayev U., Nurlybayeva K. An intelligent enterprise system with processing and verification of business documents using big data and AI // Journal of Intelligent Systems. – 2025. – Vol. 34. – Article 20240446. – DOI: https://doi.org/10.1515/jisys-2024-0446.
4. Zhapbasbayev U.K., Bossinov D.Zh., Pahomov M.A., Sattinova Z.K. Modeling of turbulent non-isothermal flow in a heating network pipe // Вестник Карагандинского университета. Серия «Физика». – 2025. – Т. 30, № 2(118). – С. 67–74. – DOI: https://doi.org/10.31489/2025PH2/67-74.
5. Рамазанова Г.И., Жапбасбаев У.К., Бекибаев Т.Т., Құдайберген А.Д. База данных для цифрового двойника тепловой сети // Авторское свидетельство о регистрации прав на базу данных № 56930. – 18.04.2025.