Development of a Personalized Thermal Comfort Driven Controller for Hvac Systems

dc.contributor.author Turhan, Cihan
dc.contributor.author Simani, Silvio
dc.contributor.author Gökçen Akkurt, Gülden
dc.date.accessioned 2021-10-07T10:53:15Z
dc.date.available 2021-10-07T10:53:15Z
dc.date.issued 2021
dc.description.abstract Increasing thermal comfort and reducing energy consumption are two main objectives of advanced HVAC control systems. In this study, a thermal comfort driven control (PTC-DC) algorithm was developed to improve HVAC control systems with no need of retrofitting HVAC system components. A case building located in Izmir Institute of Technology Campus-Izmir-Turkey was selected to test the developed system. First, wireless sensors were installed to the building and a mobile application was developed to monitor/collect temperature, relative humidity and thermal comfort data of an occupant. Then, the PTC-DC algorithm was developed to meet the highest occupant thermal comfort as well as saving energy. The prototypes of the controller were tested on the case building from July 3rd, 2017 to November 1st, 2018 and compared with a conventional PID controller. The results showed that the developed control algorithm and conventional controller satisfy neutral thermal comfort for 92 % and 6 % of total measurement days, respectively. From energy consumption point of view, the PTC-DC decreased energy consumption by 13.2 % compared to the conventional controller. Consequently, the PTC-DC differs from other works in the literature that the prototype of PTC-DC can be easily deployed in real environments. Moreover, the PTC-DC is low-cost and user-friendly. en_US
dc.identifier.doi 10.1016/j.energy.2021.121568
dc.identifier.issn 0360-5442 en_US
dc.identifier.issn 0360-5442
dc.identifier.scopus 2-s2.0-85111674543
dc.identifier.uri https://hdl.handle.net/11147/11119
dc.language.iso en en_US
dc.publisher Elsevier Ltd. en_US
dc.relation.ispartof Energy en_US
dc.rights info:eu-repo/semantics/embargoedAccess en_US
dc.subject Energy consumption en_US
dc.subject Energy efficiency en_US
dc.subject Fuzzy logic en_US
dc.subject HVAC systems en_US
dc.title Development of a Personalized Thermal Comfort Driven Controller for Hvac Systems en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id 0000-0002-3444-9610
gdc.author.id 0000-0002-3444-9610 en_US
gdc.author.institutional Turhan, Cihan
gdc.author.institutional Gökçen Akkurt, Gülden
gdc.bip.impulseclass C3
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.access embargoed access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.contributor.affiliation 01. Izmir Institute of Technology en_US
gdc.contributor.affiliation University of Ferrara en_US
gdc.contributor.affiliation 01. Izmir Institute of Technology en_US
gdc.description.department İzmir Institute of Technology. Energy Systems Engineering en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.volume 237 en_US
gdc.description.wosquality Q1
gdc.identifier.openalex W3191102022
gdc.identifier.wos WOS:000701996700013
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 36.0
gdc.oaire.influence 4.512809E-9
gdc.oaire.isgreen true
gdc.oaire.keywords HVAC systems, personalised thermal comfort, energy efficiency, HVAC control, Fuzzy Logic, energy consumption
gdc.oaire.popularity 3.6501397E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration International
gdc.openalex.fwci 5.431499
gdc.openalex.normalizedpercentile 0.96
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 36
gdc.plumx.crossrefcites 15
gdc.plumx.mendeley 60
gdc.plumx.newscount 1
gdc.plumx.scopuscites 41
gdc.scopus.citedcount 41
gdc.wos.citedcount 33
relation.isAuthorOfPublication.latestForDiscovery 6eed5317-6dd4-4365-a335-6cd0b3256e45
relation.isOrgUnitOfPublication.latestForDiscovery 9af2b05f-28ac-4022-8abe-a4dfe192da5e

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