Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/10014
DC FieldValueLanguage
dc.contributor.authorGeorgiou, G.S.-
dc.contributor.authorChristodoulides, Paul-
dc.contributor.authorKalogirou, Soteris A.-
dc.contributor.authorFlorides, Georgios A.-
dc.contributor.otherΓεωργίου, Γ. Σ.-
dc.contributor.otherΧριστοδουλίδης, Παύλος-
dc.contributor.otherΚαλογήρου, Σωτήρης-
dc.contributor.otherΦλωρίδης, Γεώργιος Α.-
dc.date.accessioned2017-03-03T11:19:55Z-
dc.date.available2017-03-03T11:19:55Z-
dc.date.issued2016-05-
dc.identifier.citation5th International Conference on Renewable Energy Sources & Energy Efficiency, 5-6 May 2016, Nicosia Cyprusen_US
dc.identifier.urihttps://hdl.handle.net/20.500.14279/10014-
dc.description.abstractRenewable energy is important nowadays, not only as an environmental scientific issue, but as an obligation with regard to European Union Regulations. Specifically, the 2020 European Energy Strategy: “Energy 2020 – A strategy for competitive, sustainable and secure energy” requires each European Nation to increase their renewable energy penetration as well their total energy efficiency by 20% and to reduce their total emissions coming from fossil fuels by 20%, by the end of 2020. As a result, in recent years, scientific interest has increased toward the improvement of the different renewable energy technologies and their optimum utilization in different applications such as smart grids, micro grids, distributed generation at low voltage level networks, zero energy buildings and so forth. The paper mainly focuses on nearly Zero Energy Buildings and the optimum utilization of the renewable energy generation installed in them. This can be achieved through various methodologies, among which artificial intelligence models, which take into account different factors such as building location, building construction materials, local weather data, payback period, electricity demand and many others that will lead to meaningful and useful results. A review of the above is made with regard to the various forms of renewable energy technologies. In particular, the main emphasis is given to results that focus on the balance between the electricity demand along with the renewable generation of the building itself, including storage, with the lowest installation cost and the minimal payback period, so that the requirements for a nearly Zero Energy Building are met.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© Copyright 2009 MSE Congress Plus Ltd. All rights reserveden_US
dc.subjectEnergy policyen_US
dc.subjectArtificial intelligenceen_US
dc.subjectRenewable energy resourcesen_US
dc.subjectNearly Zero energy buildingsen_US
dc.subjectArtificial neural networksen_US
dc.subjectEnergy managementen_US
dc.titleOptimal utilization of Renewable Energy Sources in nearly Zero Energy Buildings – A reviewen_US
dc.typeConference Papersen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.relation.conferenceInternational Conference on Renewable Energy Sources & Energy Efficiencyen_US
cut.common.academicyear2015-2016en_US
item.openairetypeconferenceObject-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.languageiso639-1en-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.deptDepartment of Mechanical Engineering and Materials Science and Engineering-
crisitem.author.deptDepartment of Mechanical Engineering and Materials Science and Engineering-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-2229-8798-
crisitem.author.orcid0000-0002-4497-0602-
crisitem.author.orcid0000-0001-9079-1907-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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