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dc.contributor.advisorO'Neill, Zheng
dc.creatorSmith-Cortez, Blake T
dc.date.accessioned2023-10-12T13:43:26Z
dc.date.created2023-08
dc.date.issued2023-05-31
dc.date.submittedAugust 2023
dc.identifier.urihttps://hdl.handle.net/1969.1/199676
dc.description.abstractThis paper analyzes the benefits of a geofencing and geolocational method for occupancy-based control in smart buildings. The research was conducted using the Google Maps Geolocation API that utilizes Wi-Fi points and cellular towers to pinpoint a phone or devices location. The location of the occupant was then compared to the testing location with a geofence radius of 5 miles to determine occupancy status of the homes. This study compared the proposed OBC method to both a non-OBC and a traditional presence sensed OBC method. In the first comparison, scenario one, the energy saving ratio was 14.75 % with an impact to zone temperature of 7.2 ºF-hr unmet degree hours during occupied times over twenty-nine days of testing. The second comparison, scenario two, had an energy saving loss ratio of 30.4 % but a zone temperature improvement of 0.76 ºF-hr unmet degree hours per day over the ten-day testing period.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectOccupancy-Based Control
dc.subjectGeo-Fencing
dc.subjectGeolocation
dc.subjectHVAC
dc.titleDemonstrations of Geo-Fencing Occupancy-Based Control in Smart and Connected Homes
dc.typeThesis
thesis.degree.departmentMechanical Engineering
thesis.degree.disciplineMechanical Engineering
thesis.degree.grantorTexas A&M University
thesis.degree.nameMaster of Science
thesis.degree.levelMasters
dc.contributor.committeeMemberPate, Michael
dc.contributor.committeeMemberBaltazar, Juan-Carlos
dc.type.materialtext
dc.date.updated2023-10-12T13:43:27Z
local.embargo.terms2025-08-01
local.embargo.lift2025-08-01
local.etdauthor.orcid0000-0002-0262-4736


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