Sewer rehabilitation is a costly challenge for cities like Berlin, with annual investments exceeding €100 million, compounded by aging infrastructure and low replacement rates. Traditional CCTV inspections, used since the 1980s, face limitations in data completeness, accuracy and automation. To address this, Kompetenzzentrum Wasser Berlin and Berliner Wasserbetriebe developed SEMAplus, a suite of data-driven tools modernizing sewer asset management. The system uses machine learning to prioritize inspections and forecast long-term network conditions. This abstract highlights advancements in deterioration modeling and innovation pathways for the digitalization of sewer management. As workforce shortages, budget constraints, and sustainability goals intensify, these innovations are crucial for optimizing investments and strengthening sewer system resilience.

Leaks and bursts in water supply networks can cause significant infrastructure damage and pose contamination risks. Even utilities with robust rehabilitation strategies are not immune to the costly consequences of major bursts. A key question is whether such events can be prevented by detecting and localizing them while they are still small (i.e., leakage flows below 3 L/s). The model-based algorithm Dual Model has demonstrated both simplicity and precision, securing first place among 18 algorithms in the Battle of the Leakage Detection and Isolations Methods. However, mismatches of around 10% between the hydraulic model and the real network can hinder its performance, particularly in detecting and locating small leaks. In this work, we enhance the Dual Model by incorporating source inflows, allowing discrepancies between the real and simulated networks to be expressed as residual virtual flows. These residuals are integrated into the model as demand patterns, enabling the detection of leaks as small as 2–3 L/s even under perturbations of roughness and base demand exceeding 35%. Additionally, this approach calibrates nodal pressures without requiring manual adjustments to roughness or demand values.

Understanding the residential end uses of water is helpful for the sustainable management of water resources and the implementation of water conservation strategies. In this study, over one hundred studies were systematically reviewed to provide a comprehensive overview of the state-of-the-art research on end-use water consumption. Each study was reviewed, clustered, and subjected to a multilevel analysis aimed at quantitatively comparing the characteristics of the end uses of water available in the literature. The findings of this work support water utilities, researchers, policy makers, and consumers in identifying the key aspects of water end uses and exploring their main features across different geographical, socioeconomic, and cultural regions of the world.

This paper investigates the robustness of one innovative model-based method for leak detection, namely the Dual Model. We evaluate the algorithm’s performance under various leakage scenarios in the L-Town network, despite uncertainties and model mismatches in (i) base demand, (ii) pipe roughness, (iii) the number of sensors, and (iv) network topology. Our investigation results indicate that the Dual Model is highly sensitive to discrepancies in the first three parameters. However, the impact can be mitigated through sensor-specific calibration, such as adjusting sensor elevations. Moreover, the Dual Model has demonstrated robustness to minor topology mismatches, like those introduced by closed valves.

Der vorliegende Forschungsbericht befasst sich mit den derzeitigen Unsicherheiten bezüglich der technischen Nutzungsdauer und des Alterungsverhaltens der gängigsten Renovierungsmethode in Kanalnetzen, dem Cured in Place Pipe (CIPP) Schlauchlining. Ziel dieser Arbeit ist die Entwicklung einer fundierten Datengrundlage für eine Schlauchliner-Überlebenskurve für die Anwendung in Alterungsmodellen. Das methodische Vorgehen umfasst (i) eine Literaturrecherche, (ii) Interviews mit Kanalsanierungs-Expert:innen sowie (iii) eine Auswertung von Daten der Berliner Wasserbetriebe zur Erstellung einer aktualisierten und geeigneten Datengrundlage für die Überlebenskurven. Dabei zeigen sich in der Auswertung der Literatur und den Interviews mehrheitliche Schätzungen der Nutzungsdauer von Schlauchlinern von über 50 Jahren. Die Untersuchung zeigt jedoch auch, dass diese von vielen Faktoren beeinflusst ist und ein Mangel an belastbaren Daten besteht. Weitere Untersuchungen an langjährig betrieben Schlauchlinern sind daher zwingend notwendig. Der Einbau, insbesondere der Aushärtungsprozess hat sich als Haupteinfluss für Defekte und Mängel an Schlauchlinern gezeigt. Eine Standardisierung der Schadenserfassung und Zustandsbeurteilung von schlauchlinerspezifischen Schäden sowie die Etablierung zerstörungsfreier Inspektionsmethoden sind erforderlich, um das Alterungsverhalten zukünftig besser zu verstehen. Empfehlungen umfassen die Verbesserung der Datenerhebung während des Betriebs, Ein- und Ausbaus von Schlauchlinern, die Erweiterung der Qualitätssicherung beim Einbau, sowie die Untersuchung von Schadenseinflüssen auf die Nutzungsdauer und den Erfahrungsaustausch zwischen Betreibern.

Addressing Europe's current challenges of aging sewer networks, the presented research focuses on the uncertainties in service life and aging behavior of the most used renovation technique, Cured in Place Pipe (CIPP) lining. Examining its aging behavior, common defects and deficiencies were analyzed through literature review and expert interviews. The findings influenced the proposition of a calibration setting for a deterioration model using survival curves. Identified defects stress the need for precise installation and curing processes. The study recommends a thorough review of the initially specified 50-year service life, acknowledging uncertainties during the installation process.

Extending the AI-driven Software SEMAplus with a risk prioritization module.

Selection and analysis of risk criteria as preliminary part of decision making.

Analysis of multicriteria decision approaches and choice of ELECTRE TRI.