REWADIG

Increasing the resilience of urban water systems through digitalisation

 

Logo von Klima Energie Fonds

 

This project is funded by the Climate and Energy Fund and carried out as part of the "Smart Cities Demo - Boosting Urban Innovation 2020" programme (project 884788).

Project partner:

  • Klagenfurt municipal utilities
  • Fraunhofer Austria Research
  • Max Hammerer
  • Wolfgang Gruber

Authorised representative: Robert SITZENFREI Martin OBERASCHER, Carolina KINZEL

Project duration: 04/2021 - 12/2024

Brief description:

The potentials and effects of an intelligent (digital) drinking water supply are still largely unexplored or have only been tested in ideal test areas (e.g. on university campuses, in industrial estates). In addition, monitoring options in the drinking water supply network are mainly limited to the main points (e.g. transfer points between pressure zones, tank feed-ins and feed-outs), which means that early detection of potential problems in the network is only possible to a limited extent and on a large scale.

In the "REWADIG" project, the urban drinking water supply of an existing municipality is being transformed into an intelligent drinking water supply for the first time. This means that all water flows in the supply area can be measured in real time and analysed for early detection (e.g. pipe network losses, water quality): Pipe network losses, water quality - dwell times of drinking water in the pipes). The realisation of smart monitoring and control will result in a significant increase in quality and resilience to short-term (incidents) and long-term (climate change) impacts. Technological approaches and the involvement of the population in the operation (e.g. targeted or conscious use of water) will lead to a reduction in water demand and ultimately to the conservation of water resources.

Thanks to this intelligent system, even short-term incidents and deviations in consumption (caused by leaks, contamination, terrorist attacks, exit restrictions, etc.) can be recognised promptly and appropriate measures implemented quickly. In addition, extensive life cycle and cost analyses are carried out with the data in order to evaluate the ecological and economic effects of an intelligent water supply and to be able to derive recommendations for future projects in the area of a modern and sustainable drinking water supply.

Other links: Project page Climate and Energy Fund

Articles in journals and conferences:

  • Oberascher, Martin; Andreas Halm; Torsten Ullrich; Sitzenfrei, Robert (2022): Analysing the influence of different temporal resolutions of water consumption data for leakage detection and localisation. In: Geophysical Research Abstracts. EGU General Assembly, EGU22-7399 (Weblink)

  • Oberascher, Martin; Maussner, Claudia; Truppe, Dietmar; Eggeling, Eva; Sitzenfrei, Robert (2023): Using digitalisation and open data for future planning of water resources. In: The 19th International Computing and Control for the water Industry Conference (CCWI). De Montfort University (Leicester) (DOI)

  • Oberascher, Martin; Maussner, Claudia; Truppe, Dietmar; Eggeling, Eva; Sitzenfrei, Robert (2024): Future projection of water resources based on digitalisation and open data in a water-rich region: a case study of the city of Klagenfurt. In: Water Supply. (DOI)

  • Hajibabaei, Mohsen; Oberascher, Martin; Shahangian, Seyyed Ahmadreza; Gschösser, Florian; Sitzenfrei, Robert (2024): Environmental impact assessment of digital water meters throughout urban water cycle. In: EGUsphere: EGU - General Assembly 2024 - Book of Abstracts. Wien. (Weblink)

  • Oberascher, Martin; Maussner, Claudia; Hinteregger, Petra; Knapp, Jürgen; Halm, Andreas; Kaiser, Mario; Gruber, Wolfgang; Truppe, Dietmar; Eggeling, Eva; Sitzenfrei, Robert (2024): Experiences from a large-scale implementation of digital water meters used for improved leakage management. In: EGUsphere: EGU - General Assembly 2024 - Book of Abstracts. Wien. (Weblink)

  • Maussner, Claudia; Oberascher, Martin; Autengruber, Arnold; Kahl, Arno; Sitzenfrei, Robert (2024): Explainable methods for water demand forecasting as a key aspect to trustworthy artificial intelligence. In: Proceedings of the 3rd WDSA/CCWI Joint Conference. Ferrara: Università degli Studi di Ferrara. (DOI)

  • Oberascher, Martin; Dastgir, Aun; Kinzel, Carolina; Sitzenfrei, Robert (2024): Nature-based solutions in cities - a view from a water supply perspective. In: Proceedings of the 3rd WDSA/CCWI Joint Conference. Ferrara: Università degli Studi di Ferrara. (DOI)

  • Oberascher, Martin; Maussner, Claudia; Cominola, Andrea; Sitzenfrei, Robert:   Sensitivity of model-based leakage localisation in water distribution networks to water demand sampling rates and spatio-temporal data gaps. In:  Journal of Hydroinformatics 26(8): 1824-1837.  (DOI)

Presentations:

  • Speaker: Oberascher, Martin; Co-authors: Claudia Maußner; Andreas Halm; Torsten Ullrich; Sitzenfrei, Robert: Analysing the influence of different temporal resolutions of water consumption data for leakage detection and localisation. European Geosciences Union (EGU) General Assembly 2022, Vienna, 25 May 2022.

  • Speaker: Oberascher, Martin; Co-authors: Maussner, Claudia; Truppe, Dietmar; Eggeling, Eva; Sitzenfrei, Robert: Using digitalisation and open data for future planning of water resources. 19th International Computing and Control for the Water Industry Conference (CCWI) 2023, Leicester, 05.09.2023.

  • Speaker: Hajibabaei, Mohsen; Co-authors: Oberascher, Martin; Shahangian, Seyyed Ahmadreza; Gschösser, Florian; Sitzenfrei, Robert: Environmental impact assessment of digital water meters throughout urban water cycle.  European Geosciences Union (EGU) General Assembly 2024, Vienna, 17.04.2024

  • Speaker: Oberascher, Martin; Co-authors: Maussner, Claudia; Hinteregger, Petra; Knapp, Jürgen; Halm, Andreas; Kaiser, Mario; Gruber, Wolfgang; Truppe, Dietmar; Eggeling, Eva; Sitzenfrei, Robert (2024): Experiences from a large-scale implementation of digital water meters used for improved leakage management.  European Geosciences Union (EGU) General Assembly 2024, Vienna, 17.04.2024

  • Speaker: Oberascher, Martin; Co-authors: Maussner, Claudia; Autengruber, Arnold; Kahl, Arno; Sitzenfrei, Robert: Explainable methods for water demand forecasting as a key aspect to trustworthy artificial intelligence. 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA CCWI 2024), Ferrara, 02.07.2024. 

  • Speaker: Oberascher, Martin; Co-authors: Dastgir, Aun; Kinzel, Carolina; Sitzenfrei, Robert: Nature-based solutions in cities - a view from a water supply perspective. 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA CCWI 2024), Ferrara, 04.07.2024. 

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