Ina Vertommen MSc

Manager
Senior scientific researcher
Project manager

030-6069739
ina.vertommen@kwrwater.nl
06-11599514

Joint Water Matchmaker

The Waterwijs exploratory research includes the development of a new methodology for designing optimised and future-resilient infrastructure. The aim is to achieve a better balance between water supply and demand at the regional level (across utility boundaries),…

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Digital twin as experience accelerator

In which situations can a digital twin of the distribution process play a valuable role in the training of new staff? This is the central question in the project entitled: ‘On the…

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Lead from brass components – phase III

This project examines the Dutch drinking water sector’s sampling protocol to control lead concentrations at the tap. With a tightening of the lead standard, the performance of this protocol needs to be…

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Quantitative added value of digital water meters and other sensors at customer locations

What are the benefits for the distribution process of different versions of smart water meters and the additional sensors? In this project, quantitative descriptions and model studies will…

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Digital twins for the water sector

'Digital twins' is the buzzword of recent years in many industries, including the water industry. The term is used to indicate digital representations (copies in some way) of physical systems. In some…

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Deep Explorations: a explorative study for deep learning applications in the water sector

This project concerns an explorative study to assess the value of deep learning (DL) for KWR and the water sector in general. The different types of deep learning,…

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Digital Twin II

In this project a so-called ‘digital twin’ of a drinking water distribution network of a Dutch city is being made, with the aim of determining the impact of corona measures – lockdown and increased working-from-home – and…

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Resilience of distribution systems under crisis scenarios

This exploratory research project is producing an inventory of the possible physical and cyber threats (crisis scenarios) that present a potential danger to the proper functioning of drinking…

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Perspective and preconditions for the development and use of autonomous inspection robots in water mains

Asset management of distribution networks is currently based on generic knowledge and models of mains groups, supplemented by inspection data on a limited number of mains. Effective asset…

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Path and prerequisites for implementation of backtracing and source identification in hydraulic packages

In the event of a drinking water contamination incident, the tracing of the contamination source is crucial in limiting the negative impact on customer satisfaction and health. Hydraulic…

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Our expertises

News

Blog

Shaping Our Digital Water Future: Insights from IWA Day 3

15 August 2024 — The blog discusses the third day of the IWA World Water Congress & Exhibition in Toronto, focusing on…

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Blog

EGU24 – Enjoyed to the fullest

23 April 2024 — With 18,896 presentations given in 1,044 sessions, it’s a challenge to summarize all the impressions gathered last week…

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News

Big integrated data

28 September 2023 — Hydroinformatics Knowledge Exchange Meeting identifies the opportunities, and what it takes to exploit them, of ‘big integrated data’…

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Blog

KWR takes Vienna, overview from a first time at EGU

08 May 2023 — I learned that while different climate scenarios lead to very different predictions on the average precipitation (and thus…

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Article

Facing future challenges with digital tools

31 December 2020 — In 2020 hydroinformatics acquired the formal status of a research theme within the Joint Research Programme of KWR…

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Water Sector

Determining contamination source with hydraulic software packages

25 January 2017 — When a drinking water contamination incident occurs, it is very important to take action to localise the contamination…

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Publications

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Joint Water Matchmaker

Digital twin as experience accelerator

Lead from brass components – phase III

Quantitative added value of digital water meters and other sensors at customer locations

Digital twins for the water sector

Deep Explorations: a explorative study for deep learning applications in the water sector

Digital Twin II

Resilience of distribution systems under crisis scenarios

Perspective and preconditions for the development and use of autonomous inspection robots in water mains

Path and prerequisites for implementation of backtracing and source identification in hydraulic packages

Shaping Our Digital Water Future: Insights from IWA Day 3

EGU24 – Enjoyed to the fullest

Big integrated data

KWR takes Vienna, overview from a first time at EGU

Facing future challenges with digital tools

Determining contamination source with hydraulic software packages

A Review of Scenario-Based Approaches in Water Systems Design

A Water Demand Forecast-informed Framework for Optimal Control of Urban Water Distribution Networks

EGU24 - Enjoyed to the fullest

Numerical optimization for drinking water distribution network design: ideas and questions provided by practice

Water loss management in Europe: perceptions, drivers, responses/strategies, and results

Future Water: Lessons learned and ways forward for transdisciplinary,cross-cultural water education

Efficient resizing and topological optimization of real-worldwater distribution networks in a multi-criteriadecision-making framework

Water Matchmaker: systeemperspectief in de watertransitie