Title:
An energy-aware, agent-based maintenance-management framework for improving the satisfaction of occupants

dc.contributor.advisor Song, Xinyi
dc.contributor.author Cao, Yang
dc.contributor.committeeMember Merrow, Gary W.
dc.contributor.committeeMember Roper, Kathy O.
dc.contributor.department Building Construction
dc.date.accessioned 2015-06-08T18:40:05Z
dc.date.available 2015-06-08T18:40:05Z
dc.date.created 2015-05
dc.date.issued 2015-04-27
dc.date.submitted May 2015
dc.date.updated 2015-06-08T18:40:05Z
dc.description.abstract Nowadays, facility managers and related staffs are facing with much maintenance requests every day. The more complicated building system generates the more diverse and complex maintenance issues. With the limited budget and staff, not all the maintenance requests can be solved immediately. To schedule the maintenance work, facility managers first consider the impact of requested problem on system failure and life safety. Besides these two factors, the author proposed the importance of considering the energy efficiency and occupant satisfaction based on the former research for sustainability. This paper firstly tries to quantify the occupant satisfaction for normal daily maintenance requests which will provide the facility managers with suggestions on work prioritization. For a long time, it is a difficult task to quantify the occupant satisfaction, even though there are enough researches concerning the people satisfaction. In this research, author first designed a structured questionnaire including normal maintenance issues and they are measured by different factors such as thermal impact, acoustic impact, and so on. Then based on the classical disconfirmation theory, a framework was built to prioritize numerous works based on occupant satisfaction. For energy efficiency, due to the limitation of collecting real measured data, this paper referred the work from Lawrance Lab. They conducted the research to simulate the daily HVAC faults to quantify the energy impact through EnergyPlus, which provided the data of energy increase for some daily HVAC faults. An agent based model is proposed to both consider these two factors. Simulation was used to verify the framework and the result showed that the total satisfaction level and energy efficiency can be increased by 30% and 97% respectively.
dc.description.degree M.S.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/53601
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Facility management
dc.subject Energy efficiency
dc.subject Occupant satisfaction
dc.subject Agent-based model
dc.title An energy-aware, agent-based maintenance-management framework for improving the satisfaction of occupants
dc.type Text
dc.type.genre Thesis
dspace.entity.type Publication
local.contributor.corporatename College of Design
local.contributor.corporatename School of Building Construction
local.relation.ispartofseries Master of Science in Building Construction and Facility Management
relation.isOrgUnitOfPublication c997b6a0-7e87-4a6f-b6fc-932d776ba8d0
relation.isOrgUnitOfPublication 45be5867-cf11-4a7f-b0de-7cd1fc348427
relation.isSeriesOfPublication 4b19e5c4-5030-482e-bc43-9aef564e1c91
thesis.degree.level Masters
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