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dc.contributor.authorSánchez Ramos, José
dc.contributor.authorGuerrero Delgado, MCarmen
dc.contributor.authorÁlvarez Domínguez, Servando
dc.contributor.authorMolina Félix, José Luis
dc.contributor.authorSánchez de la Flor, Francisco José 
dc.contributor.authorTenorio Ríos, José Antonio
dc.contributor.otherMáquinas y Motores Térmicosen_US
dc.date.accessioned2019-10-08T10:49:14Z
dc.date.available2019-10-08T10:49:14Z
dc.date.issued2019-08
dc.identifier.issn1996-1073
dc.identifier.urihttp://hdl.handle.net/10498/21751
dc.description.abstractThe reduction of energy consumption in the residential sector presents substantial potential through the implementation of energy e ciency improvement measures. Current trends involve the use of simulation tools which obtain the buildings’ energy performance to support the development of possible solutions to help reduce energy consumption. However, simulation tools demand considerable amounts of data regarding the buildings’ geometry, construction, and frequency of use. Additionally, the measured values tend to be di erent from the estimated values obtained with the use of energy simulation programs, an issue known as the ‘performance gap’. The proposed methodology provides a solution for both of the aforementioned problems, since the amount of data needed is considerably reduced and the results are calibrated using measured values. This new approach allows to find an optimal retrofitting project by life cycle energy assessment, in terms of cost and energy savings, for individual buildings as well as several blocks of buildings. Furthermore, the potential for implementation of the methodology is proven by obtaining a comprehensive energy rehabilitation plan for a residential building. The developed methodology provides highly accurate estimates of energy savings, directly linked to the buildings’ real energy needs, reducing the di erence between the consumption measured and the predictions.en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceEnergies 2019, 12(16), 3038en_US
dc.subjectlife cycle analysisen_US
dc.subjectfeasibility analysisen_US
dc.subjectnear zero energy buildingsen_US
dc.subjectsimplified building thermal modellingen_US
dc.titleSystematic Simplified Simulation Methodology for Deep Energy Retrofitting Towards Nze Targets Using Life Cycle Energy Assessmenten_US
dc.typejournal articleen_US
dc.rights.accessRightsopen accessen_US
dc.identifier.doi10.3390/en12163038


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Atribución 4.0 Internacional
This work is under a Creative Commons License Atribución 4.0 Internacional