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dc.contributor.authorGelažanskas, Linas
dc.contributor.authorGamage, Kelum A.A.
dc.date.accessioned2023-09-18T17:12:13Z
dc.date.available2023-09-18T17:12:13Z
dc.date.issued2016
dc.identifier.issn1996-1073
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/120565
dc.description.abstractThis paper proposes and analyses a new demand response technique for renewable energy regulation using smart hot water heaters that forecast water consumption at an individual dwelling level. Distributed thermal energy storage has many advantages, including high overall efficiency, use of existing infrastructure and a distributed nature. In addition, the use of a smart thermostatic controller enables the prediction of required water amounts and keeps temperatures at a level that minimises user discomfort while reacting to variations in the electricity network. Three cases are compared in this paper, normal operation, operation with demand response and operation following the proposed demand response mechanism that uses consumption forecasts. The results show that this technique can produce both up and down regulation, as well as increase water heater efficiency. When controlling water heaters without consumption forecast, the users experience discomfort in the form of hot water shortage, but after the full technique is applied, the shortage level drops to nearly the starting point. The amount of regulation power from a single dwelling is also discussed in this paper.eng
dc.formatPDF
dc.format.extentp. 1-13
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyEI Compendex Plus
dc.relation.isreferencedbyGenamics Journal Seek
dc.relation.isreferencedbyAGORA
dc.relation.isreferencedbyChemical abstracts
dc.relation.isreferencedbyCAB Abstracts
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.source.urihttps://doi.org/10.3390/en9030127
dc.titleDistributed energy storage using residential hot water heaters
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references33
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionLancaster University
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.researchfieldT 006 - Energetika ir termoinžinerija / Energy and thermoengineering
dc.subject.researchfieldT 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering
dc.subject.enDistributed thermal storage
dc.subject.enWater heater
dc.subject.enDemand side management (DSM)
dc.subject.enForecasting
dcterms.sourcetitleEnergies
dc.description.issueiss. 3
dc.description.volumeVol. 9
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi000373625500001
dc.identifier.doi2-s2.0-85040325536
dc.identifier.doi10.3390/en9030127
dc.identifier.elaba29430947


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