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Potential Solar Irradiance Assessment based on a Digital Elevation ModelNEMES, C. , MUNTEANU, F. |
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Author keywords
solar energy, global solar radiation, digital elevation model
References keywords
solar(11), radiation(5), link(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2011-11-30
Volume 11, Issue 4, Year 2011, On page(s): 89 - 92
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.04014
Web of Science Accession Number: 000297764500014
SCOPUS ID: 84856592614
Abstract
The sun is an extremely powerful energy source and solar radiation is by far the largest source of energy received by the earth. Assessment of solar radiation can be based upon measured data, where are available, or results of mathematical models. In this paper is presented a model, developed on the clear sky conditions, which allows calculation of solar radiation intensity at any location on the earth surface, considering the geographical coordinates of location and local time of every day of the year. Based on the SRTM database, in the paper it is developed a digital elevation model, which together with presented model allows computation of the potential of solar radiation over the Iasi county territory. For validation, the results have been compared with data obtained from SoDa project, the results from both database being fairly close, these proving satisfactory accuracy for a preliminary evaluation of solar radiation. |
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[1] Feasibility study of a novel methodology for solar radiation prediction on an hourly time scale: A case study in Plymouth, United Kingdom, Anvari-Moghaddam, A., Monsef, H., Rahimi-Kian, A., Nance, Helen, Journal of Renewable and Sustainable Energy, ISSN 1941-7012, Issue 3, Volume 6, 2014.
Digital Object Identifier: 10.1063/1.4878847 [CrossRef]
[2] A Hybrid Model of 2d-DCT and 2d-Mycielski Algorithm for Hourly Global Solar Irradiation, FIDAN, M., SERTSOZ, M., KURBAN, M., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 20, 2020.
Digital Object Identifier: 10.4316/AECE.2020.02006 [CrossRef] [Full text]
[3] Modeling of maximum power point tracking algorithm for photovoltaic systems, Banu, Ioan Viorel, Istrate, Marcel, 2012 International Conference and Exposition on Electrical and Power Engineering, ISBN 978-1-4673-1173-1, 2012.
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[4] Analysis of the results of optimal energy consumption planning for residential complex energy hub, Veremiichuk, Yurii, Yarmoliuk, Olena, Prytyskach, Ivan, Mahnitko, Anatolij, Varfolomejeva, Renata, 2017 IEEE 58th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), ISBN 978-1-5386-3846-0, 2017.
Digital Object Identifier: 10.1109/RTUCON.2017.8124817 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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