Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/13596
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Georgiou, Giorgos S. | - |
dc.contributor.author | Christodoulides, Paul | - |
dc.contributor.author | Kalogirou, Soteris A. | - |
dc.date.accessioned | 2019-05-06T16:29:25Z | - |
dc.date.available | 2019-05-06T16:29:25Z | - |
dc.date.issued | 2019-08 | - |
dc.identifier.citation | Renewable Energy, 2019, vol. 139, pp. 1355-1365 | en_US |
dc.identifier.issn | 09601481 | - |
dc.description.abstract | Energy in buildings covers a major and wide range of subject, which has attracted a great interest of the academic sector in recent years. Due to the high share of the global primary energy consumption associated with buildings, many studies have been published toward energy efficient buildings and the reduction of their primary energy consumption and energy management and optimization, for both Renewable Energy Sources (RES) and non-RES. As a result, a plethora of methods for managing the energy consumption and optimizing the integration of the RES in buildings have been proposed. The optimized dispatch of battery energy seems a promising method for managing the energy consumption profiles within buildings and achieving energy targets such as nearly Zero Energy Buildings (nZEBs). The current paper attempts a review of various studies related to convex mathematical optimization techniques for reducing the energy consumption in buildings, in real-time and via storage, either with or without integrated RES. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | Renewable Energy | en_US |
dc.rights | © Elsevier | en_US |
dc.subject | Buildings | en_US |
dc.subject | Convex optimization | en_US |
dc.subject | Energy | en_US |
dc.subject | Real-time energy optimization | en_US |
dc.subject | Renewable energy | en_US |
dc.subject | Storage | en_US |
dc.title | Real-time energy convex optimization, via electrical storage, in buildings – A review | en_US |
dc.type | Article | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.subject.category | Environmental Engineering | en_US |
dc.journals | Subscription | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1016/j.renene.2019.03.003 | en_US |
dc.relation.volume | 139 | en_US |
cut.common.academicyear | 2019-2020 | en_US |
dc.identifier.spage | 1355 | en_US |
dc.identifier.epage | 1365 | en_US |
item.fulltext | No Fulltext | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | article | - |
item.languageiso639-1 | en | - |
crisitem.journal.journalissn | 0960-1481 | - |
crisitem.journal.publisher | Elsevier | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.dept | Department of Mechanical Engineering and Materials Science and Engineering | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-2229-8798 | - |
crisitem.author.orcid | 0000-0002-4497-0602 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Άρθρα/Articles |
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