Residential Air-Conditioning System with Smart-Grid Functionality

dc.contributor.advisor Dionysios C. Aliprantis
dc.contributor.advisor Leigh S. Tesfatsion Thomas, Auswin
dc.contributor.department Electrical and Computer Engineering 2018-08-11T14:15:16.000 2020-06-30T02:45:33Z 2020-06-30T02:45:33Z Sun Jan 01 00:00:00 UTC 2012 2013-06-05 2012-01-01
dc.description.abstract <p>This thesis sets forth a novel intelligent residential air-conditioning (A/C) system controller that provides optimal thermal comfort and electricity cost trade-offs for a household resident based on four key aspects, namely (i) a resident's behavioral preferences, (ii) the structural attributes of the house and the A/C system, (iii) a retail price signal, and (iv) the environmental conditions. It also describes a computational platform that tests the effects of the aggregate intelligent A/C load on the bulk power system. An interesting feedback loop is established between the wholesale power market and the distribution system in that the wholesale energy prices affect the aggregate intelligent A/C load that in turn affects the wholesale energy prices.</p>
dc.format.mimetype application/pdf
dc.identifier archive/
dc.identifier.articleid 3851
dc.identifier.contextkey 4188164
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath etd/12844
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 19:31:24 UTC 2022
dc.subject.disciplines Engineering
dc.subject.keywords Air Conditioning
dc.subject.keywords Demand Response
dc.subject.keywords Dynamic Programming
dc.subject.keywords Electricity Market
dc.subject.keywords Intelligent Control
dc.subject.keywords Smart Grid
dc.title Residential Air-Conditioning System with Smart-Grid Functionality
dc.type article
dc.type.genre thesis
dspace.entity.type Publication
relation.isOrgUnitOfPublication a75a044c-d11e-44cd-af4f-dab1d83339ff thesis Master of Science
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