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dc.contributor.authorEguiarte, O.
dc.contributor.authorde Agustín-Camacho, P.
dc.contributor.authorGarrido-Marijuan, A.
dc.contributor.authorVukovic, M.
dc.contributor.authordel Portillo, L.
dc.contributor.authorRomero-Amorrortu, A.
dc.date.accessioned2022-02-10T15:10:26Z
dc.date.available2022-02-10T15:10:26Z
dc.date.issued2022-06
dc.identifier.citationEguiarte, O., P. de Agustín-Camacho, A. Garrido-Marijuan, M. Vukovic, L. del Portillo, and A. Romero-Amorrortu. “Engaging Domestic Users on Demand Response for Heating Cost Reduction with a Recommendation Tool: Case Study in Belgrade.” Energy Reports 8 (June 2022): 325–331. doi:10.1016/j.egyr.2022.01.069.en
dc.identifier.issn2352-4847en
dc.identifier.urihttp://hdl.handle.net/11556/1268
dc.description.abstractThe European Union has established a legislative framework that aims to enable consumers and businesses to take information-based decisions to save energy and money. Additionally, the increase of Distributed Energy Resources (both on generation and consumption) requires additional efforts to maintain the reliability and stability of the electric grid and the need of flexibility from residential buildings. The present study introduces a domestic decision support tool for reducing heating costs. This app provides detailed recommendations to end-users based on the day-ahead hourly weather forecast, electric and district heating tariffs predictions, heating demand, and heating systems dynamic performance. The tool was tested in 6 dwellings of a neighborhood of Belgrade during the last months of 2021 heating season (March–May). Energetic results suggest that 40% of participants followed the given recommendations and changed their heating pattern. Additionally, survey results show that end-users found the lack of information and knowledge as the main barrier to actively participate in the energy market, also preferring to have automatic control in their heating system. Authors conclude that recommendation tools are key elements in user-engagement, but they should be supported by additional information and training.en
dc.description.sponsorshipResearch leading to these results has been supported by HOLISDER project, Spain. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 768614.en
dc.language.isoengen
dc.publisherElsevier Ltden
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleEngaging domestic users on demand response for heating cost reduction with a recommendation tool: Case study in Belgradeen
dc.typeconferenceObjecten
dc.identifier.doi10.1016/j.egyr.2022.01.069en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/768614/EU/Integrating Real-Intelligence in Energy Management Systems enabling Holistic Demand Response Optimization in Buildings and Districts/HOLISDERen
dc.rights.accessRightsopenAccessen
dc.subject.keywordsDemand responseen
dc.subject.keywordsHeating electrificationen
dc.subject.keywordsRecommendation toolsen
dc.subject.keywordsUser-engagementen
dc.journal.titleEnergy Reportsen
dc.page.final331en
dc.page.initial325en
dc.volume.number8 Supplement 3en
dc.conference.titleThe 8th International Conference on Energy and Environment Research ICEER 2021, 13–17 Septemberen


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