When we clean water with disinfectants, some harmful chemical leftovers can stay behind. Imagine a smart alarm system that spots these leftovers before they reach your tap and a better filter to catch them. It also uses weather forecasts to predict when water quality might drop due to climate change.
Water providers struggle to remove harmful disinfection by-products while maintaining safety, especially as climate change makes source water quality unpredictable.
A prototype fluorescence tool for real-time monitoring, bioreporter prototypes, UV-VIS prediction algorithms, and numerical forecasting tools for source water changes.
If you are a municipal water plant dealing with strict chemical regulations — this project developed UV-VIS sensors and predictive algorithms that allow you to monitor water quality in real-time and adjust treatment to avoid penalties.
If you are a sensor manufacturer dealing with low-precision monitoring tools — this project developed a prototype fluorescence tool and bioreporters that provide more accurate detection of organic matter precursors.
If you are a software provider dealing with unpredictable source water changes — this project developed numerical forecasting tools that predict how climate events affect water quality, allowing for better operational planning.
Based on available project data, specific pricing is not provided, but the project focuses on developing 'cost-effective' sensors and treatment upgrades.
Yes, the tools are being implemented and validated across four complementary case studies in Spain, Cyprus, and Ireland.
Based on available project data, specific licensing terms are not mentioned, but the consortium includes 5 industry partners and 4 SMEs to facilitate product adoption.
Yes, it specifically targets areas where compliance with disinfection by-product (DBP) regulation is currently a challenge.
The project provides digital decision-support tools and sensors designed to feed into existing water quality management workflows.
The consortium is well-balanced for commercialization, featuring a 26% industry ratio with 5 industrial partners and 4 SMEs. With 19 partners across 10 countries, the project combines academic research (7 universities, 4 research centers) with practical application, ensuring that the developed sensors and software are grounded in market needs.
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