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AI applied to the circular economy

 

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We promote the circular economy via the development of AI-based tools designed to optimise water and waste management. Our capacities range from the creation of predictive models to advanced simulation, enabling fundamental decisions to be taken and the operational system improved. These solutions are key to maximising the recovery of materials, reducing environmental impact and guaranteeing efficient management in all stages of the process. 

 
 

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Areas of work

 

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Optimisation of processes via predictive models

We develop AI algorithms to analyse and optimise the valuation and recovery processes of resources, maximising efficiency and reducing wastage. These solutions are integrated into water cycle and waste management systems, thus facilitating more sustainable decisions. 


 
 

Intelligent tools for decision making

We design simulators and decision support systems (DSSs) that enable scenarios to be analysed, and the operation of plants and infrastructures optimised. These tools include environmental assessments such as life-cycle analysis (LCA) and water footprint and carbon footprint, with a view to ensuring a holistic approach. 


 
 

Artificial intelligence for monitoring systems

We apply AI in sensing technologies by improving control and precision in terms of process operation. These systems capture key data with a view to making any immediate adjustments and anticipating possible incidents. 


 

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Technologies

Mathematical Models
Machine Learning Algorithms
Neural Networks
Digital Twins

Decision Support Tools (DST)
Advanced Simulation
Prediction Models
Life Cycle Analysis (LCA)

 
 

Sectors of application

 

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