Imagine a wastewater plant as a giant recycling center instead of just a filter. This project uses smart AI to act like a brain for the plant, figuring out how to squeeze out more energy and nutrients. It turns a messy process into a precise operation that recovers valuable materials while cleaning water.
Wastewater plants are expensive to run and treat waste as a liability. Current mathematical models are too complex for operators, and data quality in harsh plant environments is often poor.
A modular, flexible AI software solution for wastewater plants. It optimizes energy use and resource recovery in real-time operational settings.
If you are a municipal plant operator dealing with high energy bills and waste disposal costs — this project developed an AI solution that makes plants more autonomous and energy efficient. It helps transition from simple treatment to a resource recovery facility.
If you are a fertilizer producer dealing with raw material shortages — this project developed a way to recover nutrients from wastewater. Based on EU data, these facilities could supply 13% of the fertilizer nutrient demand in the EU.
If you are an energy company dealing with the need for renewable methane — this project developed AI to optimize methane production. EU facilities can produce 9.5 billion m3 of methane annually, enough to power 25 million households.
Based on available project data, specific pricing or cost structures are not provided; the project focuses on the development and demonstration phase.
Yes, the AI solution is being tested in a real-world operational environment at the Tilburg WRRF.
Based on available project data, the specific licensing terms are not mentioned, but the consortium includes 3 SMEs to ensure market exploitation.
The solution is designed as a modular and flexible data-driven AI tool that works with existing wastewater treatment plants to make them more autonomous.
The project period runs from September 1, 2022, to August 31, 2026, with demonstration activities currently underway.
The consortium is well-balanced for commercialization, consisting of 8 partners across 4 countries. With a 25% industry ratio including 3 SMEs and 2 industrial companies, there is a clear bridge between the 3 research organizations and 1 university and the actual market. The inclusion of a water company ensures the AI is developed for real-world operational needs.
Contact ASOCIACION CENTRO TECNOLOGICO CEIT in Spain
Contact us to connect with the DARROW consortium for pilot implementation.
