000143627 001__ 143627
000143627 005__ 20190316234655.0
000143627 0247_ $$2doi$$a10.1016/S1570-7946(08)80059-4
000143627 022__ $$a1570-7946
000143627 02470 $$2ISI$$a000287713600056
000143627 037__ $$aARTICLE
000143627 041__ $$aeng
000143627 245__ $$aPredictive Optimal Management Method for the control of polygeneration systems
000143627 269__ $$a2008
000143627 260__ $$bElsevier Science, Reg Sales Off, Customer Support Dept, 655 Ave Of The Americas, New York, Ny 10010 Usa$$c2008
000143627 336__ $$aJournal Articles
000143627 490__ $$aComputer-Aided Chemical Engineering
000143627 520__ $$aA predictive optimal control system for micro-cogeneration in domestic applications has been developed. This system aims at integrating stochastic inhabitant behavior and meteorological conditions as well as modeling imprecisions, while defining operation strategies that maximize the effciency of the system taking into account the performances, the storage capacities and the electricity market opportunities. Numerical data of an average single family house has been taken as case study. The predictive optimal controller uses mixed integer and linear programming where energy conversion and energy services models are defined as a set of linear constraints. Integer variables model start-up and shut down operations as well as the load dependent efficiency of the cogeneration unit. This control system has been validated using more complex building and technology models to asses model inaccuracies and typical demand profiles for stochastic factors. The system is evaluated in the perspective of its usage in Virtual Power Plants applications.
000143627 6531_ $$apredictive control
000143627 6531_ $$aoptimal management
000143627 6531_ $$apolygeneration
000143627 6531_ $$amicrocogeneration
000143627 700__ $$aCollazos, Andrés
000143627 700__ $$g140973$$aMaréchal, François$$0240374
000143627 773__ $$j25$$tComputer Aided Chemical Engineering$$q325-330
000143627 8564_ $$uhttps://infoscience.epfl.ch/record/143627/files/Predictive%20Optimal%20Management%20Method%20for%20the%20%20control%20of%20polygeneration%20systems%20.pdf$$zPostprint$$s397042$$yPostprint
000143627 909C0 $$xU10315$$0252044$$pLENI
000143627 909C0 $$0252481$$pIPESE$$xU12691
000143627 909CO $$qGLOBAL_SET$$pSTI$$particle$$ooai:infoscience.tind.io:143627
000143627 917Z8 $$x140973
000143627 917Z8 $$x140973
000143627 937__ $$aLENI-ARTICLE-2010-009
000143627 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000143627 980__ $$aARTICLE