Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/134
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dc.contributor.authorIgnjatović M.en
dc.contributor.authorBlagojević, Bojanaen
dc.contributor.authorStojiljković M.en
dc.contributor.authorAnđelković, Aleksandaren
dc.contributor.authorBlagojev, Mirjanaen
dc.contributor.authorMitrović, Dušankaen
dc.date.accessioned2019-09-23T10:04:15Z-
dc.date.available2019-09-23T10:04:15Z-
dc.date.issued2019-08-13en
dc.identifier.issn25550403en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/134-
dc.description.abstract© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 One of the possible ways to improve balance between building energy consumption and occupant thermal comfort in existing buildings is to use simulation-assisted operation of HVAC systems. Simulation-assisted operation can be formulated as a type of operation that implements knowledge of future disturbance acting on the building and that enables operating the systems in such a way to fulfill given goals, which in nature can often be contradictory. The most important future conditions on building energy consumption are weather parameters and occupant behavior and expectations of thermal environment. In order to achieve this type of operation, optimization methods must be applied. Methodology to create HVAC system operation strategies on a daily basis is presented. Methodology is based on using building energy performance simulation software EnergyPlus, available weather data, global sensitivity analysis, and custom developed software with particle swarm optimization method applied over the moving horizon. Global sensitivity analysis is used in order to reduce number of independent variables for the optimization process. The methodology is applied to office part of real combined-type building located in Niš, Serbia. Use of sensitivity analysis shows that the reduced number of independent variables for the optimization would lead to similar thermal comfort and energy consumption, with significant computer runtime reduction.en
dc.relation.ispartofE3S Web of Conferencesen
dc.titleEnergy performance of air conditioned buildings based on short-term weather forecasten
dc.typeConference Paperen
dc.identifier.doi10.1051/e3sconf/201911104045en
dc.identifier.scopus2-s2.0-85071863082en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85071863082en
dc.relation.volume111en
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFakultet tehničkih nauka, Departman za energetiku i procesnu tehniku-
crisitem.author.deptFilozofski fakultet, Odsek za psihologiju-
crisitem.author.orcid0000-0001-8532-6795-
crisitem.author.parentorgFakultet tehničkih nauka-
crisitem.author.parentorgFilozofski fakultet-
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