Data-driven reliability analysis of district heating systems for asset management applications: A review

As district heating systems (DHSs) age, reliability analysis becomes increasingly vital for achieving energy efficiency, meeting sustainability goals, and ensuring the resilience of these urban infrastructures. Traditional reliability and asset management methods are inadequate, as they fail to incorporate the new measurements and varying asset conditions. To address this issue, advanced data-driven approaches that leverage real-time data and cutting-edge analytics are essential. This study thoroughly reviews data-driven techniques utilized for reliability analysis and assessment of DHSs. Additionally, it explores asset management strategies with an emphasis on data-driven reliability-based asset management. The literature review highlights the uniqueness of asset management approaches for each DHS, influenced by factors such as materials, age, environmental factors, and operational variables. The study discusses the existing challenges for reliability-based asset management in DHS and suggests potential research directions.