Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/19070
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNikolic, Danijela-
dc.contributor.authorLukic, Nebojsa-
dc.contributor.authorRadulović, Jasna-
dc.contributor.authorSkerlić, Jasmina-
dc.date.accessioned2023-10-24T06:16:47Z-
dc.date.available2023-10-24T06:16:47Z-
dc.date.issued2016-
dc.identifier.isbn978-86-81505-80-9en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/19070-
dc.description.abstractNowadays, a radical approach for the mitigation of the energy demand is the concept of positive-net energy building (PNEB). Also, the renewable energy has a significant impact on the environment, so the research and development of renewable energy resources and the use of renewable energy is essential. In this paper, the possibilities to decrease energy consumption of Serbian residential buildings are analyzed. The building with gas heating system, photovoltaic array for the electricity generation and solar collectors are investigated. The major aim was to analyze the possibilities to decrease primary energy consumption, due to variation of electricity consumption and hot water consumption in building, in order to achieve positive-net energy building. The obtained results gave the optimal size of PV array and solar collectors, installed on the building roof. The buildings are simulated in EnergyPlus environment. Open Studio plug-in in Google SketchUp was used for buildings design, Hooke-Jeeves algorithm for optimization and GENOPT software for software execution control.en_US
dc.subjectPNEBen_US
dc.subjectPV panelen_US
dc.subjectsolar collectoren_US
dc.subjectsimulationen_US
dc.subjectoptimizationen_US
dc.titleENERGY OPTIMIZATION OF SERBIAN BUILDINGS USING THE HOOKE JEEVES ALGORITHMen_US
dc.typeconferenceObjecten_US
dc.relation.conferenceThe 4th International Conference on Renewable Electrical Power Sources (4th ICREPS - 4 MKOIEE)en_US
Appears in Collections:Faculty of Engineering, Kragujevac

Page views(s)

23

Downloads(s)

3

Files in This Item:
File Description SizeFormat 
DN - 04 - MKOIEE2016.pdf1.94 MBAdobe PDFThumbnail
View/Open


Items in SCIDAR are protected by copyright, with all rights reserved, unless otherwise indicated.