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DC Field | Value | Language |
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dc.contributor.author | Nikolic, Danijela | - |
dc.contributor.author | Bojic, Milorad | - |
dc.contributor.author | Skerlic, Jasmina | - |
dc.contributor.author | Djordjevic, Zorica | - |
dc.contributor.author | Cvetković, Dragan | - |
dc.date.accessioned | 2023-10-25T09:39:27Z | - |
dc.date.available | 2023-10-25T09:39:27Z | - |
dc.date.issued | 2014 | - |
dc.identifier.isbn | 978-86-6335-004-5 | en_US |
dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/19101 | - |
dc.description.abstract | Nowadays, a radical approach for the mitigation of the energy demand is the concept of the zero-net energy building (ZNEB) and 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 it is investigated the Serbian residential building with PV panels on the roof which generates the electricity for building needs. The major aim was to analyze the possibilities to decrease energy consumption, due to variation of electricity consumption and hot water consumption in building. On that way, it can be possible to determine the optimal values of the area of the PV array, in order to achieve the ZNEB or PNEB. 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.rights | info:eu-repo/semantics/openAccess | - |
dc.source | 8th International Quality Conference | en_US |
dc.subject | building | en_US |
dc.subject | energy consumption | en_US |
dc.subject | PV panels | en_US |
dc.subject | simulation | en_US |
dc.subject | optimization | en_US |
dc.title | OPTIMIZATION OF ENERGY CONSUMPTION OF SERBIAN POSITIVE-NET ENERGY BUILDING | en_US |
dc.type | conferenceObject | en_US |
Appears in Collections: | Faculty of Engineering, Kragujevac |
Files in This Item:
File | Description | Size | Format | |
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DN 2 ICQ 2014.pdf | 211.6 kB | Adobe PDF | View/Open |
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