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First law energy balance as a data screening tool

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dc.contributor.advisor Claridge, David E. en_US
dc.creator Shao, Xiaojie en_US
dc.date.accessioned 2006-08-16T19:08:24Z
dc.date.available 2006-08-16T19:08:24Z
dc.date.created 2003-05 en_US
dc.date.issued 2006-08-16T19:08:24Z
dc.identifier.uri http://hdl.handle.net/1969.1/3900
dc.description.abstract This 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_US
dc.format.extent 2325273 bytes
dc.format.medium electronic en_US
dc.format.mimetype application/pdf
dc.language.iso en_US en_US
dc.publisher Texas A&M University en_US
dc.subject Energy Balance Load en_US
dc.subject Screening Data en_US
dc.subject Analytical Redundancy en_US
dc.title First law energy balance as a data screening tool en_US
dc.type Book en
dc.type Thesis en
thesis.degree.department Mechanical Engineering en_US
thesis.degree.discipline Mechanical Engineering en_US
thesis.degree.grantor Texas A&M University en_US
thesis.degree.name Master of Science en_US
thesis.degree.level Masters en_US
dc.contributor.committeeMember Culp, Charles en_US
dc.contributor.committeeMember Haberl, Jeff en_US
dc.type.genre Electronic Thesis en_US
dc.type.material text en_US
dc.format.digitalOrigin born digital en_US


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