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

Simple item page
dc.contributor.authorMossolly, Mounir Kassem
dc.contributor.departmentAmerican University of Beirut. Faculty of Engineering and Architecture. Department of Mechanical Engineering
dc.date2007
dc.date.accessioned2012-06-13T07:10:41Z
dc.date.available2012-06-13T07:10:41Z
dc.date.issued2007
dc.descriptionThesis (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.abstractThe 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.extentxxiii, 146 leaves : ill. 30 cm.
dc.identifier.urihttp://hdl.handle.net/10938/7453
dc.language.isoen
dc.relation.ispartofTheses, Dissertations, and Projects
dc.subject.classificationET:004989 AUBNO
dc.subject.lcshDisplacement ventilation
dc.subject.lcshMathematical optimization
dc.subject.lcshGenetic algorithms
dc.subject.lcshAir conditioning
dc.subject.lcshHeating
dc.subject.lcshVentilation
dc.titleOptimal control strategy for a displacement ventilation combined with a chilled ceiling HVAC system using genetic algorithm - by Mounir Kassem Mossolly
dc.typeThesis

Files

Collections

AUB Students' Theses, Dissertations, and Projects