Characterizing Building Digital Twins for Facilities Management

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dc.contributor.authorKinani, Toufaen
dc.contributor.committeechairJazizadeh Karimi, Farrokhen
dc.contributor.committeememberSarlo, Rodrigoen
dc.contributor.committeememberIorio, Joshen
dc.contributor.departmentCivil and Environmental Engineeringen
dc.date.accessioned2023-01-31T09:00:34Zen
dc.date.available2023-01-31T09:00:34Zen
dc.date.issued2023-01-30en
dc.description.abstractDigital twins (DT) describe the integration of the physical and digital worlds with the aim of optimizing real world operations and functions. The digital twin concept has gained increasing attention across industries in the past decade including the building sector. However digital twins remain ambiguous with various existing definitions and characteristics. While DTs include all life cycle phases, ultimately their goal is optimization of operations during the use phase. Of the building life cycle phases, building facilities management (FM) is responsible for considerable costs and energy consumption and has potential for improvement through DT implementation. Along with increased building information modeling (BIM) implementation, recent advances in data driven technologies have encouraged the exploration of DT in the building sector. BIM has been coupled with technologies such as internet of things (IoT), data analytics, and cloud computing to optimize various FM functions often resembling DT. This study has reviewed existing literature on digital twins in facilities management using a structured literature review and characterized similar characteristics and definitions by different authors. Additionally, DT implementation in different FM application areas was quantified and analyzed. Results show that DT implementation in FM is still at nascent stages with major challenges surrounding standardization and data integration.en
dc.description.abstractgeneralDigital twins (DT) describe the integration of the physical and digital worlds with the aim of optimizing real world operations and functions. The digital twin concept has gained increasing attention across industries in the past decade including the building sector. However digital twins remain ambiguous with various existing definitions and characteristics. DTs include all building life cycle phases from design, construction, to operation and maintenance. Ultimately their goal is optimization of operations also referred to as facilities management during the use phase. Of the building life cycle phases, building facilities management (FM) is responsible for considerable costs and energy consumption and has potential for improvement through DT implementation. Building information modeling (BIM) describes geometric and semantic information of physical assets and has been used to optimize operations in FM. Along with increased BIM implementation, recent advances in data driven technologies have encouraged the exploration of DT in the building sector. BIM has been coupled with technologies such as internet of things (IoT), data analytics, and cloud computing to optimize various FM functions often resembling DT. This study has reviewed existing literature on digital twins in facilities management using a structured literature review and characterized similar characteristics and definitions by different authors. Additionally, DT implementation in different FM application areas was quantified and analyzed. Results show that DT implementation in FM is still at nascent stages with major challenges surrounding standardization and data integration.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:35710en
dc.identifier.urihttp://hdl.handle.net/10919/113578en
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectDigital Twinsen
dc.subjectBuilding Information Modelingen
dc.subjectFacilities Managementen
dc.subjectOperations and Maintenanceen
dc.subjectEnergy Managementen
dc.titleCharacterizing Building Digital Twins for Facilities Managementen
dc.typeThesisen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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