Dr. E. Abraham
Dr. E. Abraham
Expertise
Publicaties
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2022
Integrated assessment of renewable urban heating systems considering water use, committed emissions and energy justice
C. Kaandorp / N.C. van de Giesen / E. Abraham
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2022
Multi-market demand response from pump-controlled open canal systems: an economic MPC approach to pump-scheduling
Ties van der Heijden / Dorien Lugt / Ronald van Nooijen / Peter Palensky / Edo Abraham
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2022
Nonlinear model predictive control of salinity and water level in polder networks
Case study of Lissertocht catchment
Boran Ekin Aydin / Gualbert H.P. Oude Essink / Joost R. Delsman / Nick van de Giesen / Edo Abraham -
2022
Pressure-Leak Duality for Leak Detection and Localization in Water Distribution Systems
David B. Steffelbauer / Jochen Deuerlein / Denis Gilbert / Edo Abraham / Olivier Piller
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2021
Decarbonising future heating systems
trade-offs between water use and CO2 emissions
C. Kaandorp / N.C. van de Giesen / E. Abraham -
Media
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2022-05-16
Project results from ENLARGE pave the way for sustainable urban heating, tailored to neighbourhood needs without compromising energy resilience or social justice
Verscheen in: JPI Urban Europe
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2021-09-17
Enlarge the focus.
Verscheen in: JPI Urban Europe Policy brief
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2021-03-29
Digitale transformatie werpt vruchten af voor de watersector
Verscheen in: KWR Water
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2020-12-03
Vergroot de focus
Verscheen in: VerDuS
Prijzen
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2020-9-3
First Place Award for outstanding achievements in The Battle of the Leakage Detection and Isolation Methods (BattleDIM) 2020
The Battle of the Leakage Detection and Isolation Methods (BattLeDIM), organized as part of the 2nd International CCWI/WDSA Joint Conference in Beijing, China (http://www.ccwi-wdsa2020.com/), aims at objectively comparing the performance of methods for the detection and localization of leakage events, relying on SCADA measurements of flow and pressure sensors installed within water distribution networks. Participants may use different types of tools and methods, including (but not limited to) engineering judgement, machine learning, statistical methods, signal processing, and model-based fault diagnosis approaches.