Original title: Matematická optimalizace solárního fotovoltaického systému pro rodinný dům
Translated title: Mathematical optimization of a solar photovoltaic system for a single-family detached home
Authors: Bah, Sheikh Omar ; Mauder, Tomáš (referee) ; Charvát, Pavel (advisor)
Document type: Master’s theses
Year: 2019
Language: eng
Publisher: Vysoké učení technické v Brně. Fakulta strojního inženýrství
Abstract: This paper presents a mathematical sizing algorithms of a 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. We have presents results from a existing PV panel FS-4115-3 for the given climatic conditions and the electricity use profile. Measurements for whole household electricity consumption have been obtained over a period of two months. They were all obtained at one hour interval. 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.
Keywords: Battery storage system; Linear programming and Non linear Programming; Mathematical Optimization; Solar Photovoltaic; Battery storage system; Linear programming and Non linear Programming; Mathematical Optimization; Solar Photovoltaic

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/180688

Permalink: http://www.nusl.cz/ntk/nusl-403855


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Academic theses (ETDs) > Master’s theses
 Record created 2019-10-19, last modified 2022-09-04


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