Fractal analysis of daily solar radiation time series with the aim of typical meteorological days’ classification

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

arani fatemeh; Aghashariatmadari Zahra

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Soil and Water Research Year:2018 | Volume:49 | Issue:1 Page(s): 135-143

Download Full-Text

Persian Verion

View:

544

Download:

Cites:

Information Journal Paper

Title

Fractal analysis of daily solar radiation time series with the aim of typical meteorological days’ classification

Author(s)

arani fatemeh | Aghashariatmadari Zahra | Issue Writer Certificate

Keywords

Solar RadiationQ2

fractal dimensionQ1

classificationQ2

typical dayQ1

Cumulative Distribution FunctionQ1

Abstract

Awareness of the dominant patterns of radiation fluctuations in any region is important in terms of planning for the use of solar energy potential. In this study Solar Radiation time series’ signals has been investigated from a new perspective, based on the fractal geometery (self-similar). In this regard the fractal dimension of daily Solar Radiation time series was calculated with Minkowski-Bouligand method and with clearness index consideration used for classification the days of year in terms of radiation properties. Results showed that in the years of 2014, 2015 and 2016 the highest Probability of occurrence was belong to class 3 (overcast sky) with 55. 2%, 52. 07% and 44. 8% respectively. The Days belonging to class 1 (clear sky) and class II (semi-cloudy sky) are ranked second and third in terms of probability of occurrence in all three statistical years. The results of this new method, that classes the days of the year based on Solar Radiation behavior, can considered as an essential step in photovoltaic cells installation and performance analysis in one region.

Cites

No record.

References

No record.

Cite

APA: Copy

arani, fatemeh, & Aghashariatmadari, Zahra. (2018). Fractal analysis of daily solar radiation time series with the aim of typical meteorological days’ classification. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 49(1 ), 135-143. SID. https://sid.ir/paper/225836/en

Vancouver: Copy

arani fatemeh, Aghashariatmadari Zahra. Fractal analysis of daily solar radiation time series with the aim of typical meteorological days’ classification. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2018;49(1 ):135-143. Available from: https://sid.ir/paper/225836/en

IEEE: Copy

fatemeh arani, and Zahra Aghashariatmadari, “Fractal analysis of daily solar radiation time series with the aim of typical meteorological days’ classification,” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 49, no. 1 , pp. 135–143, 2018, [Online]. Available: https://sid.ir/paper/225836/en

Related Journal Papers