Abstract
Abstract This chapter presents the work concerning the modelling and simulation of the overall MDC process, as well as its performance analysis and optimization. It also focuses on the support that the work brings for operational decisions on desalination plants, specifically applied to a microbial-powered approach for water treatment and desalination, starting from the stages of process modelling, process simulation, optimization and lab-validation, through the stages of plant monitoring and automated control. The work is based on the application of the environment IPSEpro from SimTech for the stage of process modelling and simulation; and on the system Databridge from Oncontrol for automated control, which employs techniques of machine learning.
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