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Development of Feasibility Software for Solar Energy Systems Using Solar Radiation

Emrah Aslan1 , Nurettin Besli2

Section:Research Paper, Product Type: Journal-Paper
Vol.10 , Issue.3 , pp.17-27, Sep-2023


Online published on Sep 30, 2023


Copyright © Emrah Aslan, Nurettin Besli . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: Emrah Aslan, Nurettin Besli, “Development of Feasibility Software for Solar Energy Systems Using Solar Radiation,” World Academics Journal of Engineering Sciences, Vol.10, Issue.3, pp.17-27, 2023.

MLA Style Citation: Emrah Aslan, Nurettin Besli "Development of Feasibility Software for Solar Energy Systems Using Solar Radiation." World Academics Journal of Engineering Sciences 10.3 (2023): 17-27.

APA Style Citation: Emrah Aslan, Nurettin Besli, (2023). Development of Feasibility Software for Solar Energy Systems Using Solar Radiation. World Academics Journal of Engineering Sciences, 10(3), 17-27.

BibTex Style Citation:
@article{Aslan_2023,
author = {Emrah Aslan, Nurettin Besli},
title = {Development of Feasibility Software for Solar Energy Systems Using Solar Radiation},
journal = {World Academics Journal of Engineering Sciences},
issue_date = {9 2023},
volume = {10},
Issue = {3},
month = {9},
year = {2023},
issn = {2347-2693},
pages = {17-27},
url = {https://www.isroset.org/journal/WAJES/full_paper_view.php?paper_id=3265},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/WAJES/full_paper_view.php?paper_id=3265
TI - Development of Feasibility Software for Solar Energy Systems Using Solar Radiation
T2 - World Academics Journal of Engineering Sciences
AU - Emrah Aslan, Nurettin Besli
PY - 2023
DA - 2023/09/30
PB - IJCSE, Indore, INDIA
SP - 17-27
IS - 3
VL - 10
SN - 2347-2693
ER -

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Abstract :
People are prefering to renewable energy sources, due to the rapidly increasing demand for energy today. The most basic renewable energy source is sun. Basically, photovoltaic systems, thermal systems and concentrated solar power systems generate energy from the sun. The efficiency and output potential of these technologies are computed based on the solar radiation values, despite the fact that their operating principles differ from one another. For this reason, it`s critical to have accurate knowledge about solar radiation while designing solar energy systems. Solar radiation varies depending on date, location, time of day and climate. By using measuring equipment, meteorology stations instantly, hourly, and daily record these variables. But not all places have measurement stations because the equipment is expensive. Utilizing the chosen parameters, solar radiation values are calculated. There are variety of mathematical methods used to calculate solar radiation values. The determination of the region-specific equation coefficients is necessary to improve the accuracy of the results. Long-time meteorological and geographical data of the region are used in the calculation of these coefficients. Scientific research is used to support the precision of these calculations. All commercial and academic inquiries use data on solar radiation in order to take use of solar energy in the field of renewable energy. The information about the region`s solar radiation must be understood before a solar power plant may be erected there. Using solar radiation information, the energy production potential can be determined. With the software developed within the content of this study, radiation values of the selected region are calculated and visual outputs of these values are presented. In addition, with the solar power plant feasibility report, design parameters, characteristics of materials, site information, company information, system cost, return on investment, energy production of the system and losses in the system can be calculated. In this manner, the user can assess the area`s solar radiation values and decide whether it is suitable for using solar energy.

Key-Words / Index Term :
Solar Radiation Modeling, Solar Positioning, Data Visualization, Solar Power Plant Feasibility, Renewable Energy

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