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JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
Issues per year: 4
Current issue: Aug 2018
Next issue: Nov 2018
Avg review time: 80 days


Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Testing of a Hybrid FES-Robot Assisted Hand Motor Training Program in Sub-Acute Stroke Survivors, GRIGORAS, A. V., IRIMIA, D. C., POBORONIUC, M. S., POPESCU, C. D.
Issue 4/2016


Lattice Boltzmann Method Implementation on Multiple Devices using OpenCL, TEKIC, J. B., TEKIC, P. M., RACKOVIC, M.
Issue 3/2018


Monofractal and Multifractal Analysis of Discharge Signals in Transformer Pressboards, CEKLI, S., UZUNOGLU, C. P., UGUR, M.
Issue 2/2018


A Comparative Parametric Analysis of the Ground Fault Current Distribution on Overhead Transmission Lines, VINTAN, M.
Issue 1/2016


Measurement of Soil Resistivity in Order to Determine the Buried Walls Trajectory, MUNTEANU, M. S., CZUMBIL, L., MICU, D. D., BRAICU, S. F., NEMETI, S., PISLARU, M.
Issue 1/2017


Improving the Energy Management of a Solar Electric Vehicle, GUNESER, M. T., ERDIL, E., CERNAT, M., OZTURK, T.
Issue 4/2015



Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  4/2011 - 14

Potential Solar Irradiance Assessment based on a Digital Elevation Model

NEMES, C. See more information about NEMES, C. on SCOPUS See more information about NEMES, C. on IEEExplore See more information about NEMES, C. on Web of Science, MUNTEANU, F. See more information about MUNTEANU, F. on SCOPUS See more information about MUNTEANU, F. on SCOPUS See more information about MUNTEANU, F. on Web of Science
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Download PDF pdficon (625 KB) | Citation | Downloads: 1,105 | Views: 2,685

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

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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.

References | Cited By  «-- Click to see who has cited this paper

[1] Gilbert M. Masters, "Renewable and Efficient Electric Power Systems", John Wiley & Sons Publishing, New Jersey, 2004.

[2] Tom Markvart, Luis Castafier, "Practical Handbook of Photovoltaics: Fundamentals and Applications", Elsevier Science Ltd., 2003.

[3] M. Paulescu, "Algoritmi de estimare a energiei solare", Matrix ROM, Bucuresti, 2005.

[4] Zekai Sen, "Solar Energy Funamentals and Modeling Techniques", Springer, 2008.

[5] J. A. Duffie, W. A. Beckman, "Solar engineering of thermal processes", John Wiley & Sons Publishing, New York, 1991.

[6] Bailang Yu, Hongxing Liu, Jianping Wu, Wei-Ming Lin, "Investigating impacts of urban morphology on spatiotemporal variations of solar radiation with airborne Lidar data and a solar flux model: a case study of downtown Houston", Int. Journal of Remote Sensing, vol. 30, no. 17, pp. 4359-4385, 2009.
[CrossRef] [Web of Science Times Cited 36] [SCOPUS Times Cited 40]

[7] Kumar L., Skidmore A. K., Knowles E., "Modelling topographic variation in solar radiation in a GIS environment", Int. Journal Geographical Information Science, vol. 11, no. 5, pp. 475-497, 1997.
[CrossRef] [Web of Science Times Cited 271] [SCOPUS Times Cited 300]

[8] Kasten F., Young A. T., "Revised optical air mass tables and aproximation formula", Applied Optics, vol. 28, pp. 4735-4738, 1989.
[CrossRef] [PubMed] [Web of Science Times Cited 543] [SCOPUS Times Cited 617]

[9] M. Suri, J. Horierka "A new GIS-based solar radiation model and its application to photovoltaic assessments", Transactions in GIS, vol. 8(2), pp. 175-190, 2004.
[CrossRef] [SCOPUS Times Cited 205]

[10] Marcel Suri, Thomas Huld, Ewan Dunlop, Heinz Ossenbrink, "Potential of solar electricity generation in the European Union member states and candidate countries", Solar Energy, vol. 81, pp. 1295-1305, 2007.
[CrossRef] [Web of Science Times Cited 322] [SCOPUS Times Cited 363]

[11] L. F. Romero, Siham Tabik, Jesus Vias, Emilio Zapata, "Fast clear-sky solar irradiation computation for very large digital elevation models" Computer Physics Communications 178, pp. 800-808, 2008.
[CrossRef] [Web of Science Times Cited 12] [SCOPUS Times Cited 12]

[12] Shuttle Radar Topography Mission, [Online] Available: Temporary on-line reference link removed - see the PDF document

[13] USGS EROS Database, [Online] Available: Temporary on-line reference link removed - see the PDF document

[14] Earth Resources Observation and Science (EROS) Center, [Online] Available: Temporary on-line reference link removed - see the PDF document

[15] HelioClim Solar Radiation, [Online] Available: Temporary on-line reference link removed - see the PDF document

[16] Solar Radiation Database, [Online] Available: Temporary on-line reference link removed - see the PDF document

References Weight

Web of Science® Citations for all references: 1,184 TCR
SCOPUS® Citations for all references: 1,537 TCR

Web of Science® Average Citations per reference: 74 ACR
SCOPUS® Average Citations per reference: 96 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2018-09-21 20:36 in 43 seconds.

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Faculty of Electrical Engineering and Computer Science
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