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BIM Model of District Heating Networks in Design and Investment Management Processes: A Case Study

Author

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  • Andrzej Szymon Borkowski

    (Faculty of Geodesy and Cartography, Warsaw University of Technology, Politechniki Square 1, 00-661 Warsaw, Poland)

  • Patrycja Olszewska

    (Veolia Energia Warszawa S.A., Stefana Batorego 2, 02-591 Warsaw, Poland)

Abstract

A 3D visual presentation provides a wide spectrum of interpretive and collaborative possibilities. Building Information Modeling (BIM) is becoming increasingly popular in the AEC (Architecture, Engineering, Construction) sector. However, it mainly applies to cubic (building structures) and infrastructure projects. BIM is rarely used in the digitization of aboveground or underground networks. The purpose of this article is to fill this research gap and to demonstrate, through a case study, the real benefits of processing integrated 3D data covering civil structures, technical infrastructure and networks. The methodology of this paper included all steps towards the creation of an integrated model of a district heating network and the infrastructure located in its vicinity. The results show that integrated BIM models can help minimize or prevent design and execution collisions. This article undertakes critical inquiry and presents a unique approach to modeling urban spaces. The integrated BIM model enables management of the life cycle of a district heating network using a wide range of applications depending on the nature of the data, analysis and simulation. This article contributes to the discussion on modeling transmission infrastructure and integrating it with existing spatial models and databases. This paper presents innovative and significant interdisciplinary research.

Suggested Citation

  • Andrzej Szymon Borkowski & Patrycja Olszewska, 2025. "BIM Model of District Heating Networks in Design and Investment Management Processes: A Case Study," Sustainability, MDPI, vol. 17(9), pages 1-14, May.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:9:p:4102-:d:1647862
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    References listed on IDEAS

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    1. Frison, Lilli & Gölzhäuser, Simon & Bitterling, Moritz & Kramer, Wolfgang, 2024. "Evaluating different artificial neural network forecasting approaches for optimizing district heating network operation," Energy, Elsevier, vol. 307(C).
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