Data-driven models for real-time optimisation

We will use machine learning to develop data-driven models for membrane and adsorption processes, starting from datasets given by the simulation results of the rigorous technical models.

The data-driven models will be coupled with the economic and environmental impact models to perform real-time simulations and optimisation of membrane and adsorption processes.

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Hybrid processes for direct air capture

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Guidelines for technology enhancement