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Methodology to Analyze the Sensitivity of Building Energy Consumption to HVAC System Sensor Error

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dc.contributor.advisor Claridge, David E. en_US
dc.creator Ma, Liang en_US
dc.date.accessioned 2012-02-14T22:20:09Z en_US
dc.date.accessioned 2012-02-16T16:20:06Z
dc.date.available 2012-02-14T22:20:09Z en_US
dc.date.available 2012-02-16T16:20:06Z
dc.date.created 2011-12 en_US
dc.date.issued 2012-02-14 en_US
dc.date.submitted December 2011 en_US
dc.identifier.uri http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10464 en_US
dc.description.abstract This thesis proposes a methodology for determining sensitivity of building energy consumption of HVAC systems to sensor error. It is based on a series of simulations of a generic building, the model for which is based on several typical input parameters. There are a total of eight scenarios considered in this simulation. The simulation tool was developed based on Excel. The control parameters examined include room temperature, cold deck temperature, hot deck temperature, pump pressure, and fan pressure. All of the parameters considered are varied in order to analyze the sensitivity of building energy consumption to their variation. In this tool, different operation schedules for equipment, occupancy, and lighting are considered. By changing each control parameter, the sensitivity of energy use to sensor error is simulated, a regression model is generated, and the energy consumption change is expressed as a function of sensor error and outside air percentage. Two applications of this methodology are presented in this thesis. One is a SDVAV system and the other is a DDVAV system. The outside air percentage changes the trend of the sensor error curve. After the sensitivity study is discussed, some recommendations regarding the calibration intervals of the sensors are given. en_US
dc.format.mimetype application/pdf en_US
dc.language.iso en_US en_US
dc.subject HVAC sensor en_US
dc.subject energy consumption en_US
dc.subject sensor sensitivity en_US
dc.title Methodology to Analyze the Sensitivity of Building Energy Consumption to HVAC System Sensor Error en_US
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 H. en_US
dc.contributor.committeeMember O'Neal, Dennis L. en_US
dc.type.genre thesis en_US
dc.type.material text en_US


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