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dc.contributor.advisorClaridge, David E.
dc.creatorShao, Xiaojie
dc.date.accessioned2006-08-16T19:08:24Z
dc.date.available2006-08-16T19:08:24Z
dc.date.created2003-05
dc.date.issued2006-08-16
dc.identifier.urihttps://hdl.handle.net/1969.1/3900
dc.description.abstractThis thesis defines the Energy Balance Load ( BL E ) as the difference between the heating requirements plus the electric gains in the building and the cooling coil loads. It then applies a first law energy balance in conjunction with the concepts of analytical redundancy (AR) and trend checking to demonstrate that measured values of BL E can be compared with the simulated characteristic ambient temperature-based BL E to serve as a useful tool to identify bad data. Uncertainty and sensitivity analysis are introduced to analyze the impact of each building or system parameter to the simulated values of BL E . A Visual Basic for Application (VBA) program has been developed through this research work, which applies the methodology illustrated in this thesis to automatically prescreen the measured building energy consumption data with the inputs of several key parameters. Through case studies of six on-campus buildings, the methodology and the program successfully identified monitored consumption data that appears to be erroneous, which may result from incorrect scale factors of the sensors and the operational changes to the building that may enormously affect the key parameters as the simulation inputs. Finally, suggestions are given for the on-line diagnostics of sensor signals.en
dc.format.extent2325273 bytesen
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.subjectEnergy Balance Loaden
dc.subjectScreening Dataen
dc.subjectAnalytical Redundancyen
dc.titleFirst Law Energy Balance as a Data Screening Toolen
dc.typeBooken
dc.typeThesisen
thesis.degree.departmentMechanical Engineeringen
thesis.degree.disciplineMechanical Engineeringen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberCulp, Charles
dc.contributor.committeeMemberHaberl, Jeff
dc.type.genreElectronic Thesisen
dc.type.materialtexten
dc.format.digitalOriginborn digitalen


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