Design of monitoring tool for decision making in buildings with solar energy generation

dc.contributor.authorGarcía Quintanilla, José Ignacio
dc.contributor.authorMacarulla, Ana María
dc.contributor.authorSainz Bedoya, Nekane Ione
dc.contributor.authorCanivell Castillo, Verónica
dc.date.accessioned2025-06-04T07:36:35Z
dc.date.available2025-06-04T07:36:35Z
dc.date.issued2024
dc.date.updated2025-06-04T07:36:35Z
dc.descriptionPonencia presentada en la 28th International Conference on Knowledge Based and Intelligent information and Engineering Systems (KES 2024), celebrada en Sevilla, entre el 11 y el 13 de septiembre de 2024es
dc.description.abstractThe work presented in this article is part of a project that focuses on the field of energy and sustainability and is aligned with the objectives of sustainable development, specifically goal seven, affordable and clean energy, and goal eleven, sustainable cities and communities. The photovoltaic solar installation for self-consumption at the Deusto University's residence hall been modelled using generation data, consumption data, meteorological data, and installation components. Although the actual installation features an anti-feeding system, the model allows to evaluate potential energy surpluses. To achieve this objective, it has been necessary to collect, transform, and thoroughly clean the data from the solar inverters, as well as store them for later representation. To process, visualize, and analyse data, the web application developed allows users to understand quickly and easily the patterns and trends related to energy consumption through various graphics, providing a clear and accessible visual presentation of the data that helps them make decisions to optimize energy consumption. In addition, an application has been developed that allows to assess whether or not removing the anti-feeding system and modifying the contract with the distribution company may be favourable.en
dc.description.sponsorshipThese results have been obtained within the project “Energy generation and consumption simulation models to promote changes in consumption habits and improvement in energy sustainability” developed within the framework of the Aristos Campus Mundus call, and have been co-financed by the Basque Government through the grant for Research Groups, “Grupos de investigación del Sistema Universitario Vasco, Departamento de Educación, Universidades e Investigación” (Research group: IT1677-22)en
dc.identifier.citationQuintanilla, J. I. G., Macarulla Arenaza, A. M., Bedoya, N. I. S., & Castillo, V. C. (2024). Design of monitoring tool for decision making in buildings with solar energy generation. Procedia Computer Science, 246(C), 1090-1099. https://doi.org/10.1016/J.PROCS.2024.09.528
dc.identifier.doi10.1016/J.PROCS.2024.09.528
dc.identifier.eissn1877-0509
dc.identifier.urihttp://hdl.handle.net/20.500.14454/2926
dc.language.isoeng
dc.publisherElsevier B.V.
dc.rights© 2024 The Authors
dc.subject.otherBig data
dc.subject.otherConsumption models
dc.subject.otherEnergy efficiency
dc.subject.otherManagement application
dc.subject.otherSolar energy generation
dc.titleDesign of monitoring tool for decision making in buildings with solar energy generationen
dc.typeconference paper
dcterms.accessRightsopen access
oaire.citation.endPage1099
oaire.citation.issueC
oaire.citation.startPage1090
oaire.citation.titleProcedia Computer Science
oaire.citation.volume246
oaire.licenseConditionhttps://creativecommons.org/licenses/by-nc-nd/4.0/
oaire.versionVoR
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