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Control for performance and energy efficiency with applications in smart buildings and communities

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TitleInfo
Title
Control for performance and energy efficiency with applications in smart buildings and communities
Name (type = personal)
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Ghofrani
NamePart (type = given)
Ali
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1985-
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Ali Ghofrani
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author
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Jafari
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Mohsen A
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Mohsen A Jafari
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Advisory Committee
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chair
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Boucher
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Thomas O
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Thomas O Boucher
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Advisory Committee
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internal member
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Guo
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Weihong
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Weihong Guo
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Advisory Committee
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internal member
Name (type = personal)
NamePart (type = family)
Lee
NamePart (type = given)
Youn M
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Youn M Lee
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Advisory Committee
Role
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outside member
Name (type = personal)
NamePart (type = family)
Farzan
NamePart (type = given)
Farnaz
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Farnaz Farzan
Affiliation
Advisory Committee
Role
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outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
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School of Graduate Studies
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school
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Text
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theses
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2019
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2019-10
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2019
Language
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English
Abstract (type = abstract)
The emergence of Building Internet of Things (BIoT) technology as backbone for intra- and inter-building collaborations, and the recent advances in building technologies are expected to act as transformative enablers for energy smart connected communities. Architects are already moving toward connected buildings and commercial industry is advocating open space allocation practices using real-time data. Moreover, many cities have already started setting forth more stringent policies and regulations for clean air and protection of environment. For instance, some cities are already establishing guidelines and will soon be mandating Zero Net Energy (ZNE) building codes. Despite many challenges and barriers, these changes and advances are all good news for the power grid and the society as a whole; by the virtue of advanced data mining tools and control techniques the power grid will take advantage of lower quantity risks, and communities will be able to cut costs and engage in new business opportunities. The current building energy automation systems work in silos and are incapable of taking advantage of these advances and opportunities, community-based cooperation schemes and controls are not in existence. This work will fill some of the gaps in building and community controls and data mining tools and create a real-time information exchange loop between building communities.
The overarching goal of this dissertation is to develop novel advanced soft controls, collaboration schemes and forecasting and data mining tools that allow for buildings to connect and collectively plan and manage their energy loads. A simulation platform is developed to model different levels of energy systems such as buildings, building clusters, and DER. Building thermal behavior is captured via data-driven approaches and incorporated into optimization models to develop optimal setpoint controls that can also pre-heats or pre-cools for given zone(s) taking into account dynamic energy pricing, weather conditions, occupancy patterns, human comfort and business functions. This control strategy is extended to building community operation to achieve peak demand and energy consumption reduction at network level via load synchronization. Load synchronization and balancing between buildings in a community and between communities in a region will result in smoother aggregate load and load shifting to off-peak times, hence the average unit cost of electricity will go down. The proposed planning and control scheme will reduce energy and environmental footprints of communities and cities, create a better living and working environment for residents and occupants.
Subject (authority = RUETD)
Topic
Industrial and Systems Engineering
Subject (authority = local)
Topic
Energy
Subject (authority = LCSH)
Topic
Intelligent buildings -- Design and construction
Subject (authority = LCSH)
Topic
Smart power grids
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_10186
PhysicalDescription
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application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xv, 175 pages) : illustrations
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Subject (authority = LCSH)
Topic
Planned communities -- Energy consumption
RelatedItem (type = host)
TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-wxnk-0225
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Ghofrani
GivenName
Ali
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-08-26 19:13:49
AssociatedEntity
Name
Ali Ghofrani
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

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2019-10-03T12:26:01
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