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The current state and future outlook of digitalization for the operation of district heating systems: A review

  • Dietrich Schmidt*
  • , Qinjiang Yang
  • , Dirk Vanhoudt
  • , Edmund Widl
  • , Pakdad Langroudi
  • , Mathieu Vallee
  • , Mohammed Ali Jallal
  • , Daniel Muschick
  • , Markus Gölles
  • , Valentin Kaisermayer
  • , Michele Tunzi
  • *Corresponding author for this work
  • Fraunhofer Institute for Energy Economics and Energy System Technology
  • Flemish Institute for Technological Research
  • Austrian Institute of Technology
  • HafenCity University Hamburg
  • French Alternative Energies and Atomic Energy Commission
  • BEST – Bioenergy and Sustainable Technologies GmbH

Research output: Contribution to journalReviewpeer-review

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Abstract

In the transition toward a green energy system, district heating (DH) systems are pivotal in enhancing the flexibility, resilience, and capacity of integrating local and renewable energy sources in urban areas. District heating networks have traditionally been operated with limited controls to ensure the required supply and optimize economic and environmental performance. In recent years, a new digital infrastructure has emerged in response to new policies, and technological advancements in digital solutions are essential to sustain the transition towards a 4th generation district heating (4GDH) system. This review article comprehensively assesses the current landscape and future prospects of digitalization levels in the operation of DH systems. It provides an overview of the latest improvements in digital technologies and their application in optimizing the operation and management of DH networks. The review delves into various aspects, including digital control strategies, data analytics, fault detection and diagnosis, and predictive maintenance with current applications and developments of digital twins and artificial intelligence (AI). The analysis of results in the literature was organized and clustered into specific macro areas: digitalization of the demand side, digitalization at the system level, and digitalization of infrastructure. Furthermore, the study provides an overview of digitalization implementations based on the experiences of early adopters as a benchmark for the replicability and opportunity of new business models.

Original languageEnglish
Article number140086
JournalEnergy
Volume344
Number of pages15
ISSN0360-5442
DOIs
Publication statusPublished - 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Artificial intelligence
  • Digital twins
  • Digitalization
  • District heating

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