Digital process assistant for maximising process water reuse


R3VOLUTION: A revolutionary approach for maximising process water reuse and resource recovery through a smart, circular and integrated solution.

R3VOLUTION (R3V) project aims to revolutionize industrial water management in the EU, providing key innovations to enable economically, environmentally and operationally water reclamation projects (by addressing solutes and energy recovery challenges), and generate significant impact for the EU in the next decade.


To pave the way towards sustainable and efficient water and resource consumption, R3V takes on the challenge of developing and demonstrating a resource recovery solution to enable >90% water reuse across most intensive water industries, applicable upstream and downstream, whilst recovering >45% effluents solutes, >50% waste heat reuse and eliminate 100% of hazardous substances.


R3V investigates, develops and demonstrates tailored membrane-based treatment trains coupled with waste heat, and a digital process assistant (DPA) to support the design phase to achieve optimal configuration for different industrial settings, minimising risks in implementation and provide critical support in operation. With the aim to demonstrate R3V solution capabilities and replicability potential across varied process industries, the project includes four physical demo cases at pilot scale targeting several up- and down- streams in a variety of industries with high water discharges and complex effluents: petrochemical, bio-based chemical, pulp & paper and steel, each led by renowned technological partners.


The project also assesses the transferability of the results by evaluating one additional industry (mining in Chile), and its replicability in three additional streams, via the DPA tool developed within the project. The consortium perfectly maps the triangle of competences required to develop R3V solution: membrane technologies and design of treatment trains, energy recovery and digitalisation, considering also transversal competences such as economic, environmental and social assessment, together with the exploitation plan of the developments.

Our main tasks

  • Process modelling and calibration.
  • Process preliminary assessment and optimisation for each case study.
  • ML models for process control and monitoring.



Start date – finish date

01 / 2024 - 12 / 2024

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement Nº 101138245