Description

The research project consists of developing a non-linear predictive control system based on renewable energy resources with the ultimate aim of desalinating water by means of reverse osmosis and subsequently obtaining hydrogen for commercialization. Seawater desalination consumes a large amount of energy, so its production with renewable energy is set out (L. Palacin et al. 2011). For this reason, the task consists of optimizing the production of desalinated water using this renewable energy. In this case, energy from the waves. Cost optimization is achieved with a high level of automation, necessary to adapt working conditions to the marked variations in energy supply, water consumption demand and maintenance operations of the desalination plant (J. Salazar, 2011). This requires an automated control and management system that ensures the efficient use of resources. This control system will be based on the use of models that allow both production and consumption predictions with the aim of optimizing control actions through non-linear predictive control techniques (F. Tadeo et al. 2008).

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