DRIVING THE FUTURE OF WATER RESOURCE RECOVERY FACILITIES THROUGH DATA INTELLIGENCE

Informazioni relative al progetto

DARROW

ID dell’accordo di sovvenzione: 101070080

DOI

10.3030/101070080

Progetto chiuso

Data della firma CE 14 Giugno 2022

Data di avvio 1 Settembre 2022

Data di completamento 31 Agosto 2026

Finanziato da

• Digital, Industry and Space

Costo totale

€ 3 531 446,25

Contributo UE

€ 3 248 696,25

Coordinato da

ASOCIACION CENTRO TECNOLOGICO CEIT
Spain

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

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

Autori: Jonas De Bruyne, Durk Talsma, Lieven De Marez, Klaas Bombeke
Pubblicato in: International Journal of Human–Computer Interaction, 2026, ISSN 1044-7318
Editore: Informa UK Limited
DOI: 10.1080/10447318.2026.2634984

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

Autori: Omid Sobhani, Thomas Huybrechts, Hamid Toliati, Cristian Camilo Gomez Cortes, Kevin Mets, Siegfried Mercelis
Pubblicato in: Expert Systems with Applications, Numero 325, 2026, ISSN 0957-4174
Editore: Elsevier BV
DOI: 10.1016/J.ESWA.2026.132705

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

Autori: Cristina Rodríguez-García, César Arenas-Prado, Saioa Arrizabalaga, Beñat Elduayen-Echave, Luis V. Varcárcel, Ricardo Rodríguez-Jorge, Itxaro Errandonea
Pubblicato in: Environmental Modelling & Software, Numero 204, 2026, ISSN 1364-8152
Editore: 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

Autori: Cristian Camilo Gomez Cortes, Kimberly Solon, Ingmar Nopens, Elena Torfs
Pubblicato in: 15th International Conference on Hydroinformatics, 2024
Editore: 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

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

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

Autori: Janelcy Alferes, Frie Van Bauwel, Maarten Van Loo, Piet Seuntjens
Pubblicato in: 2026
Editore: 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

Autori: Cristian Camilo Gómez Cortés
Pubblicato in: 2026, ISBN 9789463579759
Editore: UGent