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Optimal control strategy for a displacement ventilation combined with a chilled ceiling HVAC system using genetic algorithm - by Mounir Kassem Mossolly

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dc.contributor.author Mossolly, Mounir Kassem
dc.date.accessioned 2012-06-13T07:10:41Z
dc.date.available 2012-06-13T07:10:41Z
dc.date.issued 2007
dc.identifier.uri http://hdl.handle.net/10938/7453
dc.description Thesis (M.E.)--American University of Beirut, Dept. of Mechanical Engineering, 2007.;"Advisor: Dr. Nesreen Ghaddar, Professor, Department of Mechanical Engineering--Member of Committee: Dr. Fadel Moukalled, Professor, Department of Mechanical Engineering-
dc.description.abstract The objective of the work is to investigate the possibility of decreasing the en ergy consumption of the hybrid system by setting a new optimized control strateg y for the operating parameters. Three control strategies are studied the first strategy is t
dc.format.extent xxiii, 146 leaves : ill. 30 cm.
dc.language.iso eng
dc.relation.ispartof Theses, Dissertations, and Projects
dc.subject.classification ET:004989 AUBNO
dc.subject.lcsh Displacement ventilation
dc.subject.lcsh Mathematical optimization
dc.subject.lcsh Genetic algorithms
dc.subject.lcsh Air conditioning
dc.subject.lcsh Heating
dc.subject.lcsh Ventilation
dc.title Optimal control strategy for a displacement ventilation combined with a chilled ceiling HVAC system using genetic algorithm - by Mounir Kassem Mossolly
dc.type Thesis
dc.contributor.department American University of Beirut. Faculty of Engineering and Architecture. Department of Mechanical Engineering


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