HYDROINFORMATICS TOOLS & SERVICES IS A KEY ACTIVITY OF OUR GROUP

The development of hydroinformatics tools and services that exploit and extract value from the ever-increasing streams of real-time information is a key activity of our group. To support the optimal management and operation of the complex and large-scale water-energy systems, we develop digital information platforms, coupled with analytics, which “translate” real-time data into useful information for all stakeholders across the entire water chain (e.g., both system operators and end-users).

The cornerstone of our solutions is the Nessie System: an in-house system able to collect, harmonize process, store, and visualise big amounts of high-resolution data from IoT agents, including smart meters and smart sensors. An ecosystem of analytics and models is continuously being developed around Nessie to support evidence-based decision making, depending on the requirements. Of special interest are developments related to forecasting, anomaly detection and alerting, optimisation, advice provision, as well as domain specific models (e.g., hydraulic models, wastewater treatment process models).

Our services have been deployed in a range of smart monitoring and control contexts, such as the real-time monitoring of water consumption, remote control of Sewer Mining Units, management of Subsurface Water Systems, operational management of the external raw-water supply system of Athens etc. Recognising and embracing the necessity for portable and interoperable solutions, that will integrate easily and seamlessly with external platforms and sources, we are currently standardizing, together with our strategic partners, our digital solutions following state-of-the-art frameworks (i.e., Fiware).

RELEVANT PUBLICATIONS

• Makropoulos and Savić, “Urban Hydroinformatics: Past, Present and Future,” Water, vol. 11, no. 10, p. 1959, Sep. 2019, doi: 10.3390/w11101959.
• Kossieris, P., Makropoulos, C., 2018. Exploring the Statistical and Distributional Properties of Residential Water Demand at Fine Time Scales. Water, 10, 1481.
• Kossieris, P., Tsoukalas, I., Makropoulos, C., Savic, D., 2019. Simulating Marginal and Dependence Behaviour of Water Demand Processes at Any Fine Time Scale. Water, 11, 885.
• Kossieris, P., Pantazis, C., Makropoulos, C., 2021. Data-models for FIWARE-enabled smart applications for raw-water supply system modelling, management and operation. Advances in Hydroinformatics: SIMHYDRO 2021, SimHydro 6th International Conference, June 16 – 18 2021 (in press).
• Stewart, R.A., Nguyen, K., Beal, C., Zhang, H., Sahin, O., Bertone, E., Vieira, A.S., Castelletti, A., Cominola, A., Giuliani, M., Giurco, D., Blumenstein, M., Turner, A., Liu, A., Kenway, S., Savić, D.A., Makropoulos, C., Kossieris, P., 2018. Integrated intelligent water-energy metering systems and informatics: Visioning a digital multi-utility service provider. Environmental Modelling and Software, 105.
• Makropoulos, C., Kossieris, P., Kozanis, S., Katsiri, E., Vamvakeridou-Lyroudia, L., 2014. From smart meters to smart decisions: web-based support for the water efficient household. 11th International Conference on Hydroinformatics, Proceedings HIC2014, 17-21 August 2014, New York, USA, 2014.
• Kossieris, P., Panayiotakis, A., Tzouka, K., Gerakopoulou, P., Rozos, E., Makropoulos, C., 2014. An eLearning Approach for Improving Household Water Efficiency. Procedia Engineering, 89, 1113–1119. https://doi.org/10.1016/j.proeng.2014.11.232.
• Kossieris, P., Kozanis, S., Hashmi, A., Katsiri, E., Vamvakeridou-Lyroudia, L.S., Farmani, R., Makropoulos, C., Savic, D., 2014. A Web-based Platform for Water Efficient Households. Procedia Engineering, 89, 1128–1135. https://doi.org/10.1016/j.proeng.2014.11.234.