Making wastewater treatment more sustainable and efficient using a data-driven AI solution
DARROW aims to build a data-driven AI solution to optimise resource recovery from wastewater by making wastewater treatment plants more autonomous and energy efficient.
Wastewater is a valuable resource, improving its recovery will:
Save energy
Reduce Greenhouse Gas Emissions
Contribute to a circular economy
Reduce Waste
Bridging across disciplines and nation borders to provide innovative solutions.
8 partners from 4 countries
We bring together engineers, data scientists, IT developers, hydrologists and economists to tackle pressing issues in the wastewater sector and make the most of our wastewater
News & Events
Sustainable water solutions: DARROW’s cutting-edge approach to water management
Explore how we are using AI for sustainable wastewater treatment. Read about our innovative work in the latest feature from Recover Magazine.
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AI for sustainable wastewater treatment: New article about DARROW
Explore how we are using AI for sustainable wastewater treatment. Read about our innovative work in the latest feature from Recover Magazine.
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User acceptance of AI in wastewater treatment plants: Insights from the operators themselves
Artificial intelligence holds great promise for making wastewater treatment plants more efficient and sustainable. What do plant operators think about this cutting-edge technology? We conducted a survey to find out.
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From DARO to DARROW
How did ancient civilizations handle wastewater? The Indus Valley Civilisation pioneered it at Mohenjo-daro around 2,500 BCE.
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Automation in water treatment: Interview with Ruud Peeters
DARROW is not about replacing operators with AI tools; it is about enhancing their expertise. Team DARROW member Ruud Peeters emphasises that AI should demonstrate its capabilities before taking over.
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The magic in water: Interview with Walter
Dive into an exclusive, AI-generated interview with Walter, the wastewater wizard from Team DARROW. We asked our mascot some personal as well as project-related questions.
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Environmental modelling for cleaner water: Interview with Maarten Van Loo
Refining data from wastewater treatment plant sensors to ensure a clean dataset is crucial for effective environmental modelling and decision-making.
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Modelling wastewater treatment plants: Kaggle competition
What is the best digital model for a wastewater treatment plant? A Kaggle competition related to DARROW tackles this challenge.
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The importance of explainable AI: Interview with Klaas Bombeke
Recommendations provided by computer algorithms can often be intransparent. Team DARROW member Klaas Bombeke is working on building explainable AI that we can trust and accept.
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