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dc.creatorLizana Moral, Francisco Jesúses
dc.creatorFriedrich, Danieles
dc.creatorRenaldi, Renaldies
dc.creatorChacartegui, Ricardoes
dc.date.accessioned2021-05-26T10:12:44Z
dc.date.available2021-05-26T10:12:44Z
dc.date.issued2018-11
dc.identifier.citationLizana Moral, F.J., Friedrich, D., Renaldi, R. y Chacartegui, R. (2018). Energy flexible building through smart demand-side management and latent heat storage. Applied Energy, 230, -471.
dc.identifier.issn0306-2619es
dc.identifier.urihttps://hdl.handle.net/11441/110592
dc.description.abstractOne of the greatest challenges for long-term emissions reduction is the decarbonisation of heating and cooling due to the large scale, seasonal variation and distributed nature. Energy flexible buildings with electric heating, smart demand-side management and efficient thermal energy storage are one of the most promising strategies to deploy low-carbon technologies which can benefit the electricity system by reducing the need of reinforcing existing networks and their ability to use electricity in times of low demand and high supply. Combined with spot price contracts, in which the electricity tariff changes every half-hour depending on supply and demand, they can effectively reduce on-peak demand periods, achieve economic profits for end-users and retailers, and reduce the environmental impact of the electricity grid by operating in periods with lower CO2 emissions rate. To achieve these benefits, it is crucial to develop accurate models for energy flexible buildings as well as control strategies to optimise the complex system operation. This paper proposes a novel flexible energy building concept, based on smart control, high density latent heat storage and smart grids, able to predict the best operational strategy according to the environmental conditions, economic rates and expected occupancy patterns. The smart integration model, carried out in TRNSYS for a Scottish case study, solves a multi-criteria assessment based on future energy demand prediction (learning machine model supported by end-user’s predefined occupancy by Internet of Things, present and forecast weather data, and building load monitoring), electricity tariff evolution and building performance. The results show that end-user’s electricity bill savings of 20% are obtained and retailer’s associated electricity cost is reduced by 25%. In addition, despite an increase in final energy consumption of up to 8%, the environmental impact remains constant due to operation at times with lower CO2 emissions rate in electricity generation. The developed tools enable the design of smart energy systems for energy flexible buildings which can have a large positive impact on the building sector decarbonisation.es
dc.formatapplication/pdfes
dc.format.extent485es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofApplied Energy, 230, -471.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectThermal energy storagees
dc.subjectPhase change materialses
dc.subjectLow-carbon energyes
dc.subjectEnergy flexible buildingses
dc.subjectDemand-side managementes
dc.subjectDemand responsees
dc.titleEnergy flexible building through smart demand-side management and latent heat storagees
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Construcciones Arquitectónicas I (ETSA)es
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ingeniería Energéticaes
dc.relation.publisherversionhttps://doi.org/10.1016/j.apenergy.2018.08.065es
dc.identifier.doi10.1016/j.apenergy.2018.08.065es
dc.journaltitleApplied Energyes
dc.publication.volumen230es
dc.publication.endPage471es
dc.identifier.sisius21512751es
dc.description.awardwinningPremio Trimestral Publicación Científica Destacada de la US. Instituto Universitario de Arquitectura y Ciencias de la Construcción

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