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master's thesis
Android aplikacija za izračun potencijala solarne energije
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, 2015. urn:nbn:hr:200:057323
Akerman, Danijel
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

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Akerman, D. (2015). 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. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:057323

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

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

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 18 March 2025, https://urn.nsk.hr/urn:nbn:hr:200:057323

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 2025 March 18] Available at: https://urn.nsk.hr/urn:nbn:hr:200:057323

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

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Metadata
TitleAndroid aplikacija za izračun potencijala solarne energije
Title (english)Android application for calculating the potential of solar energy
AuthorDanijel Akerman
MentorKrešimir Nenadić (mentor)
Committee memberKrešimir Nenadić (član povjerenstva)
Committee memberTomislav Keser (član povjerenstva)
Committee memberZdravko Krpić (član povjerenstva)
GranterJosip 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 country2015-10-12, 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... More 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. Less
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... More 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. Less
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:057323
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
RepositoryFaculty of Electrical Engineering, Computer Science and Information Technology Osijek
Created on2016-05-03 12:22:32
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