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ReGenFlow

Regenerative Flow of Vegetation Water for Optimized Irrigation
Water treatment
SP2 REGENFLOW BIG
Scheda del progetto
Data
Start date
Valore
Total value
€ 274.550,00
Durata
Duration
15 months
Investimento
Investment nodes
€ 178.457,50

ReGenFlow is an innovative project focused on the development of an advanced treatment system for crusher water, called Dirty Water Sense Filter (DWSF). At the heart of the DWSF system is a filter with appropriately functionalised biochar derived from appropriate biomass. The functionalised biochar possesses specific adsorption properties of polyphenols in solution that are known to be harmful to the microbial communities in soils whose presence is important for soil productivity. The DWSF system is supported by sensor technology that evaluates the effectiveness of the filtration process. Sensors monitor key parameters such as flow, temperature and water quality at the filter inlet and outlet. In addition, the ReGenFlow digital platform, based on artificial intelligence and machine learning, analyses the collected data and provides detailed information on filtration effectiveness and system status. This approach enables optimised management of the filtration process, improving efficiency and reducing operating costs. In addition, the DWSF system is equipped with a control and automation system that efficiently monitors and adjusts the parameters of the filtration process. This system can be integrated with the ReGenFlow platform, allowing remote control of the system and optimisation of performance based on collected data.

 

Contact:

Antonio Proto, aproto@unisa.it

The challenge
Document

ReGenFlow is a project focused on improving crusher water treatment through its advanced system, the Dirty Water Sense Filter (DWSF). This system employs a special filter with biochar, derived from selected biomass, which has the ability to specifically absorb harmful polyphenols in the water. The DWSF is supported by sensors that monitor flow, temperature and water quality, evaluating the effectiveness of filtration. The ReGenFlow digital platform, based on artificial intelligence, analyses the collected data, optimising the filtration process and reducing operating costs. With a control and automation system, the DWSF can be managed remotely, enabling precise control and continuous performance optimisation.

Why is it innovative
Document

Approximately 30 million m3 of vegetation water is produced each year from the pressing of olives. The most common practice for the disposal of vegetation water by small and medium-sized oil mills is to spread it on the ground. This practice entails the microbiotic inhibition of the ecosystem due to the considerable phytotoxic activity of vegetation water and the possible pollution of groundwater. This paper discusses some plant solutions for treating vegetation water that integrate membrane technologies and thermochemical processes and shows the results of a technical and economic feasibility study.

Impact on users
Document

A key objective of ReGenFlow is to contribute to environmental sustainability through the application of digital solutions. The project aims to use data analysis and process optimisation to reduce resource consumption, minimise waste and optimise energy efficiency in processing water treatment. The ultimate goal is to provide a sustainable digital approach to mill water management.