Tuesday, November 5, 2019
02:45 PM to 04:00 PM
Location: Amsterdam RAI
    • Chair - Henk Jan Top, Accenture
    Session: Data management and co-creation and smart operations and asset management

    Theme: ICT & data: artificial intelligence and smart robotica 

    Results of applied science and innovations will be presented in this session, addressing the theme of ICT & data with focus on data management and co-creation and smart operations and asset management. There will be different forms of interaction with the audience


    ICT & Data: artificial intelligence and smart robotica
    Research & Innovation session
    Utilities
    Cities

    Location: Amsterdam RAI
    Room: E103

    Add to Agenda 05 November 2019 14:45 05 November 2019 16:00 Europe/Amsterdam Data management and co-creation and smart operations and asset management

    Theme: ICT & data: artificial intelligence and smart robotica 

    Results of applied science and innovations will be presented in this session, addressing the theme of ICT & data with focus on data management and co-creation and smart operations and asset management. There will be different forms of interaction with the audience

    E103 - Amsterdam RAI

    Subsession

    Non-compliance issues in European drinking water: Extent causes and solutions

    This study investigated the extent and causes of non-compliance issues in European drinking water, using Denmark as a case study on groundwater-based drinking water. Database queries were used to extract detailed information about non-compliance from the Danish National Well Database “Jupiter”, maintained by the Geological Survey of Denmark and Greenland. To identify solutions, the study also compared water treatment performance indicators at10 full-scale waterworks.

    • Speaker - Ditte Andreasen Søborg, VIA University College
      Artificial intelligence for wastewater treatment – Implementation of soft sensors for aeration

      Optimising operations in large wastewater treatment plants (WWTPs) is strategically important for water companies to reduce operational costs (especially energy use) and the need to meet ever more stringent water quality targets. Furthermore, as WWTPs emit N2O, a potent greenhouse gas, these facilities have a role to play in addressing climate change challenges. Waternet’s Amsterdam West WWTP (WWTP West) has a capacity of ± 1 million population equivalent and serves the city of Amsterdam. The process automation of WWTP West will be renewed, while the entire IT architecture of Waternet is in fast development. Waternet is preparing one treatment lane of WWTP West, as a research lane, to introduce and test additional sensors that will enable new data drive control strategies and decision support based on AI models and data fusion. The objective is to minimise N2O emission, energy use and sludge production at minimum costs while meeting discharge limits.

        Data management and integral modelling of water supply systems

        The model of a drinking water supply system includes different aspects that are generally adapted to the needs of a development team. The software developed by Fundación UADE, through its tech institute, combines the determination of the basic design parameters, the calculation of the hydraulic system and the economic evaluation of the project as parts of a whole that must be resolved in an interrelated manner. The data model is supported by a spatial graph database, taking advantage of the expressiveness that his native query languages offer on this type of data bases, the possibility of scaling on a big data scale and the optimisation of their engine for queries related to graphs. The present solution contributes both to the integral data management of the networks in operation and to the evaluation of expansion alternatives.

        • Speaker - Juan José Iervasi Scokin, UADE
          Starting from 02:45 PM to 04:00 PM
          Digital monitoring solution of anaerobic digester to optimise both sewage treatment and energy production

           
          Anaerobic digestion is one of the most promising technology for sewage treatment thanks to its low sludge production and positive energy balance. Nonetheless, anaerobic digesters currently suffer from an important instability of the process that compromises the economical balance of the waste water treatment plant. To address this issue, we developed a monitoring solution based on real time diagnosis of the biological state of the digester combined with modules of decision support. It aims to support operators with daily monitoring and plant optimisation working on different leverage such as regulation of the load and inflow, temperature and soda consumption. This solution, deployed on 14 plants, demonstrated a return on invest of less than a year.