On the assessment and control optimisation of demand response programs in residential buildings

DC FieldValueLanguage
dc.contributor.authorPallonetto, Fabiano-
dc.contributor.authorDe Rosa, Mattia-
dc.contributor.authorD’Ettorre, Francesco-
dc.contributor.authorFinn, Donal-
dc.date.accessioned2021-01-19T10:44:01Z-
dc.date.available2021-01-19T10:44:01Z-
dc.date.copyright2020 Elsevieren_US
dc.date.issued2020-07-
dc.identifier.citationRenewable and Sustainable Energy Reviewsen_US
dc.identifier.issn1364-0321-
dc.identifier.urihttp://hdl.handle.net/10197/11850-
dc.description.abstractThe ability to control and optimise energy consumption at end-user level is of increasing interest as a means to achieve a balance between supply and demand, particularly when large penetration of distributed renewable energy sources is being considered. Demand Response programs consist of a series of externally-driven control strategies aimed at adapting consumer end-use load to specific grid requirements. In a demand response scenario, a network of connected systems can be exploited to activate balancing strategies, to provide demand flexibility during periods of high stress for the grid. However, the widespread deployment of demand response programs in the building sector still faces significant challenges. Smart technology deployment, the lack of common standardised assessment procedures and metrics, the absence of established regulatory frameworks are among the main obstacles limiting the development of portfolios of competitive flexibility assets. The residential sector is even more affected by these challenges due to a marginal economic case, the issue of long term harmonisation of hardware and software infrastructure and the influence of the end-user behaviour and preferences on energy consumption. The present paper provides a review on the current developments of the Demand Response programs, with specific reference to the residential building sector. Methodologies and procedures for assessing building energy flexibility and Demand Response programs are described with a special focus on numerical models and available control algorithms. Moreover, markets schemes and social aspects - such as technology acceptance and awareness - and their influence on smart control technologies and algorithms are discussed. Current research gaps and challenges are identified and analysed to provide guidance for future research activities.en_US
dc.description.sponsorshipScience Foundation Irelanden_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rightsThis is the author’s version of a work that was accepted for publication in Renewable and Sustainable Energy Reviews. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Renewable and Sustainable Energy Reviews (127, (2020)) https://doi.org/10.1016/j.rser.2020.109861en_US
dc.subjectDemand responseen_US
dc.subjectEnergy flexibilityen_US
dc.subjectResidential buildingen_US
dc.subjectSmart gridsen_US
dc.subjectSmart buildingen_US
dc.subjectOptimisation algorithmsen_US
dc.titleOn the assessment and control optimisation of demand response programs in residential buildingsen_US
dc.typeJournal Articleen_US
dc.internal.authorcontactotherdonal.finn@ucd.ieen_US
dc.statusPeer revieweden_US
dc.identifier.volume127en_US
dc.citation.otherArticle Number: 109861en_US
dc.check.date2022-07-01-
dc.identifier.doi10.1016/j.rser.2020.109861-
dc.neeo.contributorPallonetto|Fabiano|aut|-
dc.neeo.contributorDe Rosa|Mattia|aut|-
dc.neeo.contributorD’Ettorre|Francesco|aut|-
dc.neeo.contributorFinn|Donal|aut|-
dc.date.embargo2022-04-16en_US
dc.description.othersponsorshipESIPP UCDen_US
dc.date.updated2020-04-19T12:03:26Z-
dc.identifier.grantid15/spp/e3125-
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/en_US
item.fulltextWith Fulltext-
item.grantfulltextembargo_20220416-
Appears in Collections:Mechanical & Materials Engineering Research Collection
Energy Institute Research Collection
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