Optimal water distribution system analysis based on stochastic data reconstruction and network structure uncertainties - ORONET

Funding: Forschungförderungsgesellschaft (FFG)

Project partner: Innsbrucker Kommunalbetriebe AG
Project personal: Robert Sitzenfrei, Jonatan Zischg, Markus Sitzmann, Michael Mair
Project duration: 02/2017 – 07/2019


Project aims:

The main focus of the proposed project ORONET is to enhance the process of hydraulic model building of water distribution systems significantly. The core of that feature is a method to determine the most cost-efficient way to obtain the desired results. To achieve this goal, the efforts/costs for data collection and measurements, are set in contrast to efforts for algorithmic data complementation and the impact on modelling results. Therefore, developed methods from basic research (DynaVIBe) there are to be tested and enhanced for practical applications. From a successful basic research project, promising results were already obtained, but need to be further investigated and developed for practical applications (see project homepage of DynaVIBe for list of publications). With that procedure to assemble reliable models for predictive modelling is foreseen to be drastically enhanced in quality but also the efforts for modelling build could be  significantly reduced.

The 5 major aims of the proposal are:

  • Systematic formulation of a scheme for different modelling aim for water distribution system analysis and the corresponding data requirements (literature and applications review)
  • Development of quality indices for data quality and data plausibility tests based on different modelling aims
  • Systematic data supplementation using Co-location of different infrastructure networks, graph-theoretical reconstruction algorithms and stochastics based on different modelling aims
  • Based on the extent of algorithmic data supplementation, identification of data requirements (also measurement data) based on different modelling aims
  • Cost-benefit analysis of data gathering / data reconstruction and modelling quality. Development of optimal approaches for different data availabilities/qualities


Fig: adapted from Mair et. al, (2017) (license: CC BY 4.0) (access: http://www.mdpi.com/2073-4441/9/2/146) 

Articles in Journals and Conferences:                                                                                                                                                                                 

  • Impact of Hybrid Water Supply on the Centralised Water System (2017)                                                                                     Autoren: R. Sitzenfrei, J. Zischg, M. Sitzmann, P.M. Bach                                                                                                                 Water 9/11                                                                                                 
  • Enabling Efficient and Sustainable Transitions of Water Distribution Systems under Network Structure Uncertainty (2017)     Autoren: J. Zischg, M. Mair, W. Rauch, R. Sitzenfrei                                                                                                                          Water 9/9
  • World Environmental and Water Resources Congress 2017
    Autoren: R. Sitzenfrei, J. Zischg, M. Sitzmann, S. Rathnayaka, J. Kodikara, P.M. Bach
    Effects of implementing decentralized water supply systems in existing centralized systems
  • World Environmental and Water Resources Congress 2017
    Autoren:  J. Zischg, C. Klinkhamer, X. Zhan, S. Ukkusuri, P.S.C. Rao, W. Rauch, R. Sitzenfrei
    Evolution of complex network topologies in urban water infrastructure
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