METHODOLOGY FOR SELECTING ALTERNATIVE ENERGY SOURCES IN THERMAL ENERGY RENOVATION OF BUILDINGS
DOI:
https://doi.org/10.33042/2522-1809-2025-1-189-503-512Keywords:
alternative energy sources, thermal modernization of buildings, heat pump, building heating systemsAbstract
Modern energy systems worldwide are facing the imperative of transitioning to sustainable energy supply models
that do not contribute to the accumulation of carbon in the atmosphere or exacerbate the greenhouse effect, a factor
now widely recognized as a key driver of global climate change. To ensure universal access to energy resources, improve
environmental quality, and meet the growing energy demands of humanity, a comprehensive transformation of all
elements of energy infrastructure is required. This transition does not have a singular or simple solution and demands
a multidimensional approach. Reducing greenhouse gas emissions can be achieved through the integration of various
energy sources and technological solutions that ensure high levels of efficiency and economic viability. The renewable
energy sources and improvements in energy efficiency play a leading role in achieving climate neutrality. The reliable
methods for comprehensive implementation, ensuring sustainable heat energy supply in buildings while providing
comfortable conditions during the winter season is of key importance.
Energy-efficient modernization of heating systems in buildings, with an increased share of renewable energy
sources for heat production, is of paramount importance for the reconstruction of Ukraine. The paper proposes an
approach, based on a heating system model that evaluates the impact of each innovation through the integration of
energy, environmental, and economic performance indicators. The mathematical model of the building heat
consumption estimation based on energy audit, which determines the initial building condition is presented. Every
possible renovation action, including the change of the heating source is evaluated, and energy, environmental, and
economic performance indicators are defined, enabling to find the optimal solution based on the multi-objective
optimisation. The proposed approach serves as a valuable tool for preliminary engineering calculations during the
design phase.
The application of this model is demonstrated through a case study of an administrative building in Kharkiv. The
evaluation of building thermal modernization and the installation of a heat pump was carried out based on
environmental and economic performance indicators. The implementation of the recommended modernization measures
in 2020, coupled with the analysis of measurements at the actual site, revealed a discrepancy of 15% between the
predicted and measured heat consumption values. This finding supports the recommendation of the proposed method
for enhancing heating systems in buildings.
References
IEA. Tracking Clean Energy Progress 2023: Assessing critical energy technologies for global clean energy transitions. 2023, Available online: https://www.iea.org/reports/tracking-clean-energy-progress-2023 (accessed 09.04.2025).
IEA. Net Zero Roadmap: A Global Pathway to Keep the 1.5 °C Goal in Reach; International Energy Agency: Paris 2023, Available online: https://www.iea.org/reports/net-zero-roadmap-a-global-pathway-to-keep-the-15-0c-goal-in-reach, (accessed 09.04.2025).
DESA, UN. (2019). United Nations, Department of Economic and Social Affairs, Population Division. World Urbanization Prospects: The 2018 Revision (ST/ESA/SER.A/420). New York: United Nations. https://population.un.org/wup/assets/WUP2018-Report.pdf (accessed 09.04.2025)
Bianchi, G., Panayiotou, G. P., Aresti, L., Kalogirou, S. A., Florides, G. A., Tsamos, K., Tassou, S. A., & Christodoulides, P. (2019). Estimating the waste heat recovery in the European Union Industry. Energy, Ecology and Environment, 4(5), 211-221. https://doi.org/10.1007/s40974-019-00132-7
Mahmoud, M., Ramadan, M., Naher, S., Pullen, K., & Olabi, A.-G. (2021). The impacts of different heating systems on the environment: A review. Science of The Total Environment, 766, 142625. https://doi.org/https://doi.org/10.1016/j.scitotenv.2020.142625
Guzović, Z., Duic, N., Piacentino, A., Markovska, N., Mathiesen, B. V., & Lund, H. (2022). Recent advances in methods, policies and technologies at sustainable energy systems development. Energy, 245, 123276. https://doi.org/https://doi.org/10.1016/j.energy.2022.123276
Lerbinger, A., Petkov, I., Mavromatidis, G., & Knoeri, C. (2023). Optimal decarbonization strategies for existing districts considering energy systems and retrofits. Applied Energy, 352, 121863. https://doi.org/https://doi.org/10.1016/j.apenergy.2023.121863
Taheri, S., Hosseini, P., & Razban, A. (2022). Model predictive control of heating, ventilation, and air conditioning (HVAC) systems: A state-of-the-art review. Journal of Building Engineering, 60, 105067. https://doi.org/https://doi.org/10.1016/j.jobe.2022.105067
Cholewa, T., Siuta-Olcha, A., Smolarz, A., Muryjas, P., Wolszczak, P., Guz, Ł., Bocian, M., Sadowska, G., Łokczewska, W., & Balaras, C. A. (2023). On the forecast control of heating system as an easily applicable measure to increase energy efficiency in existing buildings: Long term field evaluation. Energy and Buildings, 292, 113174. https://doi.org/https://doi.org/10.1016/j.enbuild.2023.113174
Anđelković, A. S., & Bajatović, D. (2020). Integration of weather forecast and artificial intelligence for a short-term city-scale natural gas consumption prediction. Journal of Cleaner Production, 266, 122096. https://doi.org/https://doi.org/10.1016/j.jclepro.2020.122096
Kitzberger, T., Kotik, J., & Pröll, T. (2022). Energy savings potential of occupancy-based HVAC control in laboratory buildings. Energy and Buildings, 263, 112031. https://doi.org/https://doi.org/10.1016/j.enbuild.2022.112031
Lin, G., Casillas, A., Sheng, M., & Granderson, J. (2023). Performance Evaluation of an Occupancy-Based HVAC Control System in an Office Building. Energies, 16(20). https://doi.org/10.3390/en16207088
Valančius, K., Grinevičiūtė, M., & Streckienė, G. (2022). Heating and Cooling Primary Energy Demand and CO2 Emissions: Lithuanian A+ Buildings and/in Different European Locations. Buildings, 12(5), 570. https://www.mdpi.com/2075-5309/12/5/570
Mišík, M., Oravcová, V., & Vicenová, R. (2024). Energy efficiency of buildings in Central and Eastern Europe: room for improvement. Energy Efficiency, 17(4), 32. https://doi.org/10.1007/s12053-024-10215-y
Pater, S. (2019). Field measurements and energy performance analysis of renewable energy source devices in a heating and cooling system in a residential building in southern Poland. Energy and Buildings, 199, 115-125. https://doi.org/https://doi.org/10.1016/j.enbuild.2019.06.057
KT-Energy, L. (2018). District Heating in Ukraine: Improving the performance of District Heating Systems in Central and Eastern Europe. https://keepwarmeurope.eu/countries-in-focus/ukraine/english/ (accessed 09.04.2025)
Geletukha, G., Kramar, V., Oliynyk, Y., & Antonenko, V. (2019). Analysis of the possibilities for savings and development of district heating systems in Ukraine. Thermophysics and Thermal Power Engineering, 41(1), 53-58. https://doi.org/10.31472/ttpe.1.2019.7
Gebrail, G., Jordan-Tank, M., & Tvedt, K. (2018). 1086 Policy paper on infrastructure – Making district heating happen: empowering users through fair metering. https://solarthermalworld.org/wp-content/uploads/2021/03/making-district-heating-happen-empowering-users-through-fair-metering-en.pdf (accessed 09.04.2025)
Fialko, N. M., Tymchenko, N. P., & Sherenkovskiy, J. V. (2020). Fourth Generation of District Heating and Centralized Heating Supply Systems of Ukraine. Proceedings of CEE 2019, Cham. https://doi.org/10.1007/978-3-030-27011-7_10
Trier, D., Nielsen, J., Sorensen, A., Le Denn, A., Miedaner, O., Pauschinger, T., & Schubert, M. (2012). Solar district heating Guidelines–Collection of fact sheets. Intelligent Energy–Europe. https://www.solar-district-heating.eu/wp-content/uploads/2018/06/SDH-Guidelines_update_09.2017.pdf (accessed 09.04.2025)
Polyvianchuk, A., Malyarenko, V., Semenenko, R., Gura, K., Varbanov, P. S., & Arsenyeva, O. (2023). The general-purpose approach for estimation of residential heating systems efficiency using the various energy sources. Energy and Buildings, 296, 113390. https://doi.org/https://doi.org/10.1016/j.enbuild.2023.113390
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