DRIVING THE FUTURE OF WATER RESOURCE RECOVERY FACILITIES THROUGH DATA INTELLIGENCE

Informations projet

DARROW

N° de convention de subvention: 101070080

DOI

10.3030/101070080

Projet clôturé

Date de signature de la CE 14 Juin 2022

Date de début 1 Septembre 2022

Date de fin 31 Août 2026

Financé au titre de

• Digital, Industry and Space

Coût total

€ 3 531 446,25

Contribution de l’UE

€ 3 248 696,25

Coordonné par

ASOCIACION CENTRO TECNOLOGICO CEIT
Spain

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (9)

Specifications for Open-Source AI/ML packages
Definition of mechanistic models and simulation platforms

Set-up of the models that will developed in WP3, WP4 and WP5. Moreover, a simulation platform will be specified to run and test all these models.

Specifications of APIs and GUIs
Dissemination, Exploitation & Communication Master Plan
Definition of training needs and programs

Definition of a Massive Online Open Course (MOOC) for non-expert users of AI & data systems

Dissemination, Exploitation & Communication Master Plan - update

Update of D8.1

Description of the quasi steady-state simulators
Functional specifications including risk assessment

Specific analysis and requirements definition will be done to ensure feasible integration of the AI technology into a high-risk system

Requirements for a human-centred approach

Analysis of needs of the operators, requirements, specifications, any kind of consideration to develop optimally the AI & Data solutions to ensure an appropriate use/perception of the operators, and inclussion of the issues of “Trustworthy and ethical AI” and “Explainable AI” for the optimal interaction with operators

Publications

Peer reviewed articles (3)

The Good, the Bot, and the User: Hybrid Automation to Harmonize Performance and Human Factors at the Intersection of Adaptive and Adaptable Systems

Auteurs: Jonas De Bruyne, Durk Talsma, Lieven De Marez, Klaas Bombeke
Publié dans: International Journal of Human–Computer Interaction, 2026, ISSN 1044-7318
Éditeur: Informa UK Limited
DOI: 10.1080/10447318.2026.2634984

Constraint-aware reinforcement learning for energy-efficient and regulation-compliant wastewater treatment

Auteurs: Omid Sobhani, Thomas Huybrechts, Hamid Toliati, Cristian Camilo Gomez Cortes, Kevin Mets, Siegfried Mercelis
Publié dans: Expert Systems with Applications, Numéro 325, 2026, ISSN 0957-4174
Éditeur: Elsevier BV
DOI: 10.1016/J.ESWA.2026.132705

A review of optimization systems and methods for wastewater treatment plants operation

Auteurs: Cristina Rodríguez-García, César Arenas-Prado, Saioa Arrizabalaga, Beñat Elduayen-Echave, Luis V. Varcárcel, Ricardo Rodríguez-Jorge, Itxaro Errandonea
Publié dans: Environmental Modelling & Software, Numéro 204, 2026, ISSN 1364-8152
Éditeur: Elsevier BV
DOI: 10.1016/J.ENVSOFT.2026.107051

Conference proceedings (3)

Implementing Liquid Neural Networks for Enhanced Plant-Wide Control of a Wastewater Treatment Plant

Auteurs: Cristian Camilo Gomez Cortes, Kimberly Solon, Ingmar Nopens, Elena Torfs
Publié dans: 15th International Conference on Hydroinformatics, 2024
Éditeur: The International Association for Hydro-Environment Engineering and Research (IAHR)
DOI: 10.3850/IAHR-HIC2483430201-274

Model Predictive Reinforcement Learning Control based on Liquid Neural Networks for Global Plant-wide Control of a WRRF

Auteurs: Cristian C. Gómez Cortés, Kimberly Solon, Pedram Ramin, Xavier Flores-Alsina, Jakob K. Huusom, Murat Külahci, Elena Torfs
Publié dans: 14th IWA International Conference on Instrumentation, Control and Automation (ICA 2025), 2025

Data-driven solutions transforming the wastewater sector: towards efficient and sustainable utilities

Auteurs: Janelcy Alferes, Frie Van Bauwel, Maarten Van Loo, Piet Seuntjens
Publié dans: 2026
Éditeur: Published in confidential format

Thesis and dissertations (1)

Autonomous and sustainable water systems management: integrating automated (re)calibration with transfer learning, temporal-aware reinforcement learning control, and explainable AI

Auteurs: Cristian Camilo Gómez Cortés
Publié dans: 2026, ISBN 9789463579759
Éditeur: UGent