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dc.contributor.authorRuz Ruiz, Mario L.es_ES
dc.contributor.authorGarrido Jurado, Juanes_ES
dc.contributor.authorVázquez Serrano, Francisco J.es_ES
dc.contributor.authorMorilla, Fernandoes_ES
dc.date.accessioned2018-10-30T13:26:26Z
dc.date.available2018-10-30T13:26:26Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/10396/17366
dc.description.abstractThis paper presents a steady-state hybrid modeling approach for vapor compression refrigeration cycles which is intended to achieve an optimal system operation from an energy consumption point of view. The model development is based on a static characterization of the main components of the cycle using a hybrid approach, and their integration in a new optimization block. This block allows to determine completely the system stationary state by means of a non-linear optimization procedure subjected to several constraints such as mechanical limitations, component interactions, environmental conditions and cooling load demand. The proposed method has been tested in an experimental pilot plant with good results. Model validation for each identified hybrid model is carried out from a set of experimental data of 82 stationary operating points, with prediction errors below ±10%. The model is also globally validated by comparing experimental and simulated data, with a global mean relative absolute error less than 5%. The basic control structure consists of three decentralized control loops where the controller variables are the secondary fluid temperature at the evaporator inlet, the superheat, and the condenser pressure. While the secondary temperature is assumed as an imposed requirement, the optimal set-points of the other two control loops are searched offline using the proposed refrigerant cycle model. This set-point optimality is defined according to the coefficient of performance for minimizing the total electrical power consumption of the system at steady-state. This energy saving has been confirmed experimentally. The proposed method can be easily adapted for different sets of controlled variables in case of modification of the basic control structure. Furthermore, other energy efficiency metrics can be handily adopted. Considering the tradeoff between the accuracy and computational cost of the hybrid models, the proposed procedure is expected to be used in real-time applications.es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/es_ES
dc.subjectHybrid modelinges_ES
dc.subjectVapor compression refrigeration cyclees_ES
dc.subjectParameter identificationes_ES
dc.subjectGlobal optimizationes_ES
dc.titleA hybrid modeling approach for steady-state optimal operation of vapor compression refrigeration cycleses_ES
dc.typeinfo:eu-repo/semantics/preprintes_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.applthermaleng.2017.03.103es_ES
dc.relation.projectIDGobierno de España. DPI2012-37580-C02-01es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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