Android aplikacija za izračun potencijala solarne energije

Akerman, Danijel

master's thesis

Android aplikacija za izračun potencijala solarne energije

Akerman, Danijel (2015)

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

Cite this document

APA 6th Edition

Akerman, D. (2015). Android aplikacija za izračun potencijala solarne energije (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:057323

MLA 8th Edition

Akerman, Danijel. "Android aplikacija za izračun potencijala solarne energije." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2015. https://urn.nsk.hr/urn:nbn:hr:200:057323

Chicago 17th Edition

Harvard

Akerman, D. (2015). 'Android aplikacija za izračun potencijala solarne energije', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 03 July 2020, https://urn.nsk.hr/urn:nbn:hr:200:057323

Vancouver

Akerman D. Android aplikacija za izračun potencijala solarne energije [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2015 [cited 2020 July 03] Available at: https://urn.nsk.hr/urn:nbn:hr:200:057323

IEEE

D. Akerman, "Android aplikacija za izračun potencijala solarne energije", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:200:057323

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:057323

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Metadata

Title	Android aplikacija za izračun potencijala solarne energije
Title (english)	Android application for calculating the potential of solar energy
Author	Danijel Akerman
Mentor	Krešimir Nenadić (mentor)
Committee member	Krešimir Nenadić (član povjerenstva)
Committee member	Tomislav Keser (član povjerenstva)
Committee member	Zdravko Krpić (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (Department of Software Engineering) (Chair of Programming Languages and Systems) Osijek
Defense date and country	2015-10-12, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Process Computing
Abstract	Ideja rada je izraditi jednostavni Solarni PV kalkulator koji će široj javnosti poslužiti kao pomagalo pri donošenju odluke o investiranju u solarnu elektranu. Odabrani su Android platforma i mobilni uređaji (telefoni, tableti) jer se nalaze u najmasovnijoj upotrebi i posjeduju niz senzora koji će olakšati korištenje. Najvažniji podatak za donošenje odluke o investiranju je financijski prihod od proizvedene energije, jer o njemu zavisi vrijeme povrata investicije. Krajnji rezultat aplikacije je što točnija procjena proizvedene energije za određenu lokaciju i njene vrijednosti u kunama ukoliko se proda po poticajnim cijenama. Za korištenje aplikacije potrebno je mobilni uređaj postaviti u položaj montaže da se preko njegovih senzora učitaju lokacija, kut nagiba i orijentacija. Za neku udaljenu lokaciju naziv mjesta i kuteve treba unijeti ručno. Pored toga treba upisati planiranu snagu elektrane i odabrati jednu od PV tehnologija koje su u komercijalnoj upotrebi. Na temelju tih parametara dovlače se podaci o sunčevom zračenju iz jedne od najtočnijih solarnih karata za Europu PVGIS (Photovoltaic Geographical Information System). Iz podataka o sunčevom zračenju i tarifnog sustava za 2015. godinu izračunava se novčana vrijednost proizvenene energije u kunama.
Abstract (english)	The idea of this paper is to make a simple Solar PV calculator which will serve to the bro ader population as an aid when making a decision about investing in a solar power plant.The Android platform and mobile devices (phones, tablets) have been chosen because of their mass use and because they have an array of sensors which make this application easier to use. The most important data in decision making of this sort is the financial revenue from the energy produced because the time needed to reclaim the investment is based on the financial revenue.The final result of the application is a highly accurate assessment of possible energy production in a certain location and it's value in kunas provided that the energy is sold at a incentive price. Sensors can read the location, the angle and the orientation. For some distant locations the name of thewhich includes incentives.In order to use the application the mobile device is to be placed in the mounting position of the solar panels. The mobile device's location and the angles are to be written in manually. In addition, the planned power output of the plant should be inserted and one of the PV technologies found in commercial use should be chosen. Based on these parameteres data is downloaded from one of the most accurate solar charts of Europe (PVGIS).Financial value of energy produced, in kunas, is calculated based on the data of insolation and the prices of electricity for the year 2015.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:057323
Study programme	Title: Graduate University Study Programme in Computer Engineering Study programme type: university Study level: graduate
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Created on	2016-05-03 12:22:32