Sando Agua Completes Research Project for the Maintenance and Operation of Wastewater Treatment Plants with Artificial Intelligence

07/02/2025

The use of PREDICTEDAR optimises the management of a WWTP by reducing energy consumption and increasing service reliability

Sando, through its technology company, Sando Agua, which specialises in the Integral water cycle, has concluded the PREDICTEDAR research project. This study developed a new model for predictive and sustainable maintenance of wastewater treatment plants (EDAR) based on Artificial Intelligence (AI).

The PREDICTEDAR project was financed by the CTA (Technological Corporation of Andalusia) and CDTI (Centre for the Development of Technological Innovation). It involved the collaboration of the company Facsa and the University of Granada’s Intelligent Forecasting Laboratory.

The application of the PREDICTEDAR project leads to significant maintenance cost savings by addressing various factors. First, it reduces energy consumption, increases EDAR’s self-sufficiency rates, and boosts biogas generation. Second, it enhances reliability, preventing service interruptions and ensuring that poorly treated water is not discharged.

Added Value in the Integral Water Cycle

The results of the PREDICTEDAR research project add value to Sando Agua’s management of the integral water cycle. By implementing AI, the maintenance and conservation of water infrastructure are optimised, minimising risks and unforeseen issues and reducing both needs and costs. Additionally, the project promotes the circular economy.

This study supports the achievement of the Sustainable Development Goals (SDGS), particularly SDG 6 (Clean Water and Sanitation) and SDG 11 (Sustainable Cities and Communities).