Title :
Model predictive control of hydrogen production by renewable energy
Author :
Serna, Alvaro ; Nonney-Rico, Julio E. ; Tadeo, Fernando
Author_Institution :
Dept. de Ing. de Sist. y Autom., Univ. de Valladolid (UVA), Valladolid, Spain
Abstract :
This paper presents the formulation of a control strategy based on model predictive control ideas to produce hydrogen from renewable energy in an offshore platform. Power generation based on wave and wind energy is considered as energy source which feeds a set of electrolyzers that produces hydrogen. The proposed advanced control system allows to regulate the operation of the electrolyzers, taking into account the renewable energy available and optimizing the performance of the plant. Simulation results obtained using a specific case study are presented, showing the correct operation of the plant under this advanced control.
Keywords :
hydrogen production; offshore installations; power generation control; predictive control; wave power generation; wind power plants; Power generation; electrolyzer operation regulation; energy source; hydrogen production; model predictive control; offshore platform; renewable energy; wave energy; wind energy; Electrochemical processes; Hydrogen; Optimization; Predictive control; Production; Renewable energy sources; Wind energy; hydrogen; marine energies; predictive control; renewable energy;
Conference_Titel :
Renewable Energy Congress (IREC), 2015 6th International
Conference_Location :
Sousse
DOI :
10.1109/IREC.2015.7110959