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dc.contributor.advisorRasmussen, Bryanen_US
dc.creatorRani, Avinashen_US
dc.date.accessioned2012-10-19T15:30:09Zen_US
dc.date.accessioned2012-10-22T18:04:30Z
dc.date.available2012-10-19T15:30:09Zen_US
dc.date.available2012-10-22T18:04:30Z
dc.date.created2012-08en_US
dc.date.issued2012-10-19en_US
dc.date.submittedAugust 2012en_US
dc.identifier.urihttp://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11545en_US
dc.description.abstractVapor compression cycles are the primary method by which refrigeration and air-conditioning systems operate, and thus constitute a significant portion of commercial and residential building energy consumption. This thesis presents a data-driven approach to find the optimal operating conditions of a multi-evaporator system in order to minimize the energy consumption while meeting operational requirements such as constant cooling or constant evaporator outlet temperature. The experimental system used for controller evaluation is a custom built small-scale water chiller with three evaporators; each evaporator services a separate body of water, referred to as a cooling zone. The three evaporators are connected to a single condenser and variable speed compressor, and feature variable water flow and electronic expansion valves. The control problem lies in development of a control architecture that will minimize the energy consumed by the system without prior information about the system in the form of performance maps, or complex mathematical models. The control architecture explored in this thesis relies on the data collected by sensors alone to formulate a function for the power consumption of the system in terms of controlled variables, namely, condenser and evaporator pressures, using recursive least squares estimation. This cost function is then minimized to attain optimal set points for the pressures which are fed to local controllers.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.subjectControlen_US
dc.subjectoptimizationen_US
dc.subjectvapor compression cyclesen_US
dc.subjectmulti-evaporator systemsen_US
dc.titleControl and Optimization of Vapor Compression Cycles Using Recursive Least Squares Estimationen_US
dc.typeThesisen
thesis.degree.departmentMechanical Engineeringen_US
thesis.degree.disciplineMechanical Engineeringen_US
thesis.degree.grantorTexas A&M Universityen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelMastersen_US
dc.contributor.committeeMemberCulp, Charlesen_US
dc.contributor.committeeMemberRathinam, Sivakumaren_US
dc.type.genrethesisen_US
dc.type.materialtexten_US


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