AIPIA: Water cycle modeling of a pulp and paper industry using artificial intelligence.
September 2020 – March 2021
While most industries only control output parameters, AIPIA will go one step further and implement Artificial Intelligence to model the water cycle. Consequently, this project will promote the digital transition of the water cycle, including inlet and outlet treatments.
For the pilot, Aipia has chosen a pulp and paper company due to its requirement in quality and because they control a greater amount of data than other factories. In addition, once the project is finished it can easily be extrapolated to another cycle.
These water treatments are ultrafiltration and reverse osmosis. These treatments are very sensitive to turbidity and temperature, so when recirculating some discharge streams, the yields of these treatments drop drastically and even collapse.
Through the modeling developed at AIPIA, the operating conditions can be determined to be able to recirculate the water without damaging the treatment systems. Additionally, the useful life of some equipment will be lengthened and the addition of chemicals will be optimized, achieving a double benefit: greater plant efficiency and improved circular economy.
For the development of this project, a collaborative environment is proposed that will facilitate the creation of synergies between four complementary entities: COGNIT, as a company specialized in water cycle processes; the University of Zaragoza, with the know-how to develop new neural network tools; h2ï as an expert company in water process modeling; and ZINNAE as coordinator of R+D+i projects.
This project received funding support under the “Innovative Business Associations” framework (AEIs). This program supports to strenghten innovation clusters and is also alligned with the european strategy for competitiveness through innovation.
The groups that can benefit from this aid are those entities whose innovative potential and critical mass is enogh to get the recognition from the Ministry of Industry, Commerce and Tourism through their registration in the Register of Innovative Business Groups.
Once artificial intelligence is operational, it will make predictions which will allow:
- Optimize the addition of chemicals (coagulant, flocculant, phosphoric acid and urea).
- Explore the possibility of recirculating wastewater to inlet water treatment.
- Extend the useful life of ultrafiltration and reverse osmosis membranes.
- Project coordination and dissemination of results (Leader: ZINNAE)
- Analysis and homogenization of data (Leader: COGNIT)
- Modeling with artificial intelligence techniques (Leader: h2ï)
- Validation tests in real environment (Leader: COGNIT)
- Design of operation indicators for monitoring in real time. (Leader: COGNIT)
The project will be developed between the months of September 2020 and March 2021.