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Top-down GIS-driven method for configuring the network layout of a 5th generation district heating and cooling (5GDHC) system

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  • Chicherin, Stanislav

Abstract

As cities face increasing energy demands and stricter environmental regulations, optimizing district heating and cooling systems has become critical in achieving sustainable urban energy solutions. This study aims to design an optimized 5th-generation district heating and cooling (5GDHC) system that balances investment costs, operational expenses, and CO2 emissions while integrating renewable energy sources effectively. The research develops a novel modeling approach based on geographic information system (GIS) data, historical weather data, and building energy demand profiles. Using a custom-built platform, we analyze the spatial distribution of buildings and energy sources, incorporating factors such as heat demand, network layout, and temperature variations. A minimum spanning tree (MST) algorithm was employed to determine the most cost-effective network routes, ensuring the efficient connection of consumers and energy producers. The proposed simulation model also explores integrating renewable energy sources, such as solar power and thermal energy storage (TES), to reduce dependence on conventional fossil fuel-based heating solutions. The results indicate that the proposed system design significantly reduces CO2 emissions and operational costs compared to traditional district heating systems. The findings of this research contribute to developing more sustainable, cost-effective district heating and cooling networks, offering insights for future urban energy planning.

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  • Chicherin, Stanislav, 2025. "Top-down GIS-driven method for configuring the network layout of a 5th generation district heating and cooling (5GDHC) system," Energy, Elsevier, vol. 328(C).
    • Handle: RePEc:eee:energy:v:328:y:2025:i:c:s0360544225022819
    DOI: 10.1016/j.energy.2025.136639
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    References listed on IDEAS

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