Mixed-Integer-Quadratic-Programming based predictive control for hydrogen production using renewable energy

Título

dc.contributor.author	Serna, Álvaro
dc.contributor.author	Tadeo Rico, Fernando Juan
dc.contributor.author	Normey Rico, Julio Elías
dc.date.accessioned	2018-02-11T22:07:47Z
dc.date.available	2018-02-11T22:07:47Z
dc.date.issued	2016
dc.identifier.uri	http://uvadoc.uva.es/handle/10324/28508
dc.description.abstract	An Energy Management System (EMS) to balance the production of renewable sources with the consumption by a set of electrolization units is proposed here based on Model Predictive Control ideas (MPC). This EMS regulates the operating point of each electrolyzer and its connections or disconnections using a Mixed-Integer-Quadratic-Programming algorithm. A case study is given for an installation composed of wave and wind energy sources and a set of 3 alkaline electrolyzers. Validation using measured data at the target location of the installation shows the adequate performance of the proposed EMS.	es
dc.format.mimetype	application/pdf	es
dc.language.iso	eng	es
dc.rights.accessRights	info:eu-repo/semantics/restrictedAccess	es
dc.title	Mixed-Integer-Quadratic-Programming based predictive control for hydrogen production using renewable energy	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dc.title.event	International Renewable Energy Congress (IREC), 2016 7th International	es
dc.description.project	Ministerio de Ciencia e Innovación (Proyect DPI2014-54530-R)
dc.relation.projectID	info:eu-repo/grantAgreement/EC/FP7/288145