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dc.creatorXu, X.
dc.creatorWang, S.
dc.date.accessioned2007-05-07T20:46:07Z
dc.date.available2007-05-07T20:46:07Z
dc.date.issued2006
dc.identifier.otherESL-IC-06-11-176
dc.identifier.urihttp://hdl.handle.net/1969.1/5322
dc.description.abstractBuilding level energy models are important to provide accurate prediction of energy consumption for building performance diagnosis and energy efficiency assessment of retrofitting alternatives for building performance upgrading. Simplified but physically meaningful models for existing buildings are preferable for practical applications. In this study, a hybrid building model is developed to describe building system for thermal performance prediction at building level. The model includes two parts. One part is the detailed physical models, which are the CTF models of building envelopes based on the easily available coincident detailed physical properties. The other part is the simplified 2R2C model for building internal mass, whose parameters are estimated and optimized using short-term monitored operation data. A genetic algorithm estimator is developed to optimize these parameters. The parameter optimization of the simplified model and the hybrid building model are validated in a high-rise commercial office building under various weather conditions.en
dc.format.extent301813 bytesen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherEnergy Systems Laboratory (http://esl.tamu.edu)
dc.publisherTexas A&M University (http://www.tamu.edu)
dc.subjectHybrid building modelen
dc.subjectdynamic thermal performanceen
dc.subjectsimplified modelen
dc.subjectbuilding internal massen
dc.subjectparameter optimizationen
dc.titleHybrid Model of Existing Buildings for Transient Thermal Performance Estimationen


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