000200154 001__ 200154
000200154 005__ 20190316235933.0
000200154 0247_ $$2doi$$a10.1016/j.ijepes.2014.05.040
000200154 022__ $$a0142-0615
000200154 02470 $$2ISI$$a000339601500091
000200154 037__ $$aARTICLE
000200154 245__ $$aA model predictive control strategy for the space heating of a smart building including cogeneration of a fuel cell-electrolyzer system
000200154 269__ $$a2014
000200154 260__ $$bElsevier$$c2014$$aOxford
000200154 300__ $$a11
000200154 336__ $$aJournal Articles
000200154 520__ $$aThe objective of this paper is to analyze the value of energy replacement in the context of demand response. Energy replacement is defined as the possibility of the consumer to choose the most convenient source for providing space heating to a smart building according to a dynamic electricity price. In the proposed setup, heat is provided by conventional electric radiators and a combined heat and power generation system, composed by a fuel cell and an electrolyzer. The energy replacement strategy is formulated using model predictive control and mathematical models of the components involved. Simulations show that the predictive energy replacement strategy reduces the operating costs of the system and is able to provide a larger amount of regulating power to the grid. In the paper, we also develop a novel dynamic model of a PEM fuel cell suitable for micro-grid applications. The model is realized applying a grey-box methodology to the experimental proton exchange membrane fuel cell of the EPFL–DESL micro-grid.
000200154 6531_ $$aDemand response
000200154 6531_ $$aControl-by-price
000200154 6531_ $$aCombined heat and power generation
000200154 6531_ $$aProton exchange membrane fuel cell
000200154 6531_ $$aModel predictive control
000200154 6531_ $$aGrey-box modelling
000200154 6531_ $$aepfl-smartgrids
000200154 700__ $$0248192$$g237392$$aSossan, Fabrizio
000200154 700__ $$aBindner, Henrik
000200154 700__ $$aMadsen, Henrik
000200154 700__ $$0246334$$g223603$$aTorregrossa, Dimitri
000200154 700__ $$0247089$$g228080$$aReyes Chamorro, Lorenzo Enrique
000200154 700__ $$0245463$$g156731$$aPaolone, Mario
000200154 773__ $$j62$$tInternational Journal of Electrical Power and Energy Systems$$kNovember$$q879–889
000200154 8564_ $$uhttps://infoscience.epfl.ch/record/200154/files/2014%20-%20Sossan%20et%20al%20-%20A%20MPC%20for.pdf$$zPublisher's version$$s1927035$$yPublisher's version
000200154 909C0 $$xU12494$$0252423$$pDESL
000200154 909CO $$qGLOBAL_SET$$pSTI$$ooai:infoscience.tind.io:200154$$particle
000200154 917Z8 $$x156731
000200154 937__ $$aEPFL-ARTICLE-200154
000200154 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000200154 980__ $$aARTICLE