Matematická optimalizace solárního fotovoltaického systému pro rodinný dům

but.committeeprof. RNDr. Josef Šlapal, CSc. (předseda) prof. RNDr. Miloslav Druckmüller, CSc. (místopředseda) doc. Ing. Luděk Nechvátal, Ph.D. (člen) doc. RNDr. Jiří Tomáš, Dr. (člen) prof. Mgr. Pavel Řehák, Ph.D. (člen) Prof. Bruno Rubino (člen) Prof. Corrado Lattanzio (člen) Assoc. Prof. Massimiliano Giuli (člen)cs
but.defenceDruckmüller: explain certain formula from the thesis the thesis contains too many serious mistakes to be acceptablecs
but.jazykangličtina (English)
but.programAplikované vědy v inženýrstvícs
but.resultpráce nebyla úspěšně obhájenacs
dc.contributor.advisorCharvát, Pavelen
dc.contributor.authorBah, Sheikh Omaren
dc.contributor.refereeKlimeš, Lubomíren
dc.date.created2019cs
dc.description.abstractThis paper presents a mathematical sizing algorithms of a stand alone and grid-connected photovoltaic-battery system for a residential house. The objective is to minimize the total storage capacity with cost of electricity. The proposed methodology is based on a Linear and Non-linear programming involving a real data collected through one year with reference to Hradec Kralove meteorological data and typical load profile in Czech Republic. The algorithm jointly optimizes the sizes of the photovoltaic and the battery systems by adjusting the battery charge and discharge cycles according to the availability of solar resource and a time-of-use tariff structure for electricity. The results show that jointly optimizing the sizing of battery and photovoltaic systems can significantly reduce electricity imports and the cost of electricity for the household. However, the optimal capacity of such photovoltaic battery varies strongly with the electricity consumption profile of the household, and is also affected by electricity and battery prices.en
dc.description.abstractThis paper presents a mathematical sizing algorithms of a stand alone and grid-connected photovoltaic-battery system for a residential house. The objective is to minimize the total storage capacity with cost of electricity. The proposed methodology is based on a Linear and Non-linear programming involving a real data collected through one year with reference to Hradec Kralove meteorological data and typical load profile in Czech Republic. The algorithm jointly optimizes the sizes of the photovoltaic and the battery systems by adjusting the battery charge and discharge cycles according to the availability of solar resource and a time-of-use tariff structure for electricity. The results show that jointly optimizing the sizing of battery and photovoltaic systems can significantly reduce electricity imports and the cost of electricity for the household. However, the optimal capacity of such photovoltaic battery varies strongly with the electricity consumption profile of the household, and is also affected by electricity and battery prices.cs
dc.description.markEcs
dc.identifier.citationBAH, S. Matematická optimalizace solárního fotovoltaického systému pro rodinný dům [online]. Brno: Vysoké učení technické v Brně. Fakulta strojního inženýrství. 2019.cs
dc.identifier.other116828cs
dc.identifier.urihttp://hdl.handle.net/11012/180687
dc.language.isoencs
dc.publisherVysoké učení technické v Brně. Fakulta strojního inženýrstvícs
dc.rightsStandardní licenční smlouva - přístup k plnému textu bez omezenícs
dc.subjectMathematical Optimizationen
dc.subjectSolar Photovoltaicen
dc.subjectBattery storage systemen
dc.subjectLinear programming and Non linear Programmingen
dc.subjectMathematical Optimizationcs
dc.subjectSolar Photovoltaiccs
dc.subjectBattery storage systemcs
dc.subjectLinear programming and Non linear Programmingcs
dc.titleMatematická optimalizace solárního fotovoltaického systému pro rodinný důmen
dc.title.alternativeMathematical optimization of a solar photovoltaic system for a single-family detached homecs
dc.typeTextcs
dc.type.drivermasterThesisen
dc.type.evskpdiplomová prácecs
dcterms.dateAccepted2019-06-11cs
dcterms.modified2024-05-17-12:53:08cs
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
sync.item.dbid116828en
sync.item.dbtypeZPen
sync.item.insts2025.03.27 08:50:15en
sync.item.modts2025.01.15 14:45:57en
thesis.disciplineMatematické inženýrstvícs
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav matematikycs
thesis.levelInženýrskýcs
thesis.nameIng.cs
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