DocumentCode :
1363940
Title :
A Numerical Methodology for the Prediction of the Near-Field Parasitic Electromagnetic Emissions of Solar Panels
Author :
Andrieu, Guillaume ; Reineix, Alain ; Panh, Johan
Author_Institution :
Dept. of Ondes et Syst. Associes (OSA), XLIM Lab., Limoges, France
Volume :
51
Issue :
4
fYear :
2009
Firstpage :
919
Lastpage :
927
Abstract :
This paper presents a methodology that is developed to assess the parasitic electromagnetic (EM) emissions of a satellite solar panel from a quasi-static to several tens of megahertz bandwidth. In the method, the solar panel is first modeled as an equivalent electric circuit, which allows the computation of the current distribution in all the elements using Spice-like software. The model is then converted into a network of electric dipoles, which permits to calculate the total EM emissions of the solar panel at a given point by the vectorial summation of the EM emissions due to each electric dipole. Thus, only the dipolar moment and the position and the orientation of each electric dipole are required. Encouraging experimental validations performed on a prototype solar panel are presented to illustrate the efficiency and the accuracy of the method. The method described in this paper is considered as a first step required in order to prepare wider applications on real satellites in the near future.
Keywords :
electromagnetic fields; solar cells; solar power satellites; Spice-like software; dipolar moment; electric circuit; electric dipoles; near-field parasitic electromagnetic emissions; satellite solar panel; Atmospheric measurements; Bandwidth; Circuits; Electromagnetic fields; Frequency; Magnetic field measurement; Magnetic noise; Probes; Satellites; Seismic measurements; Circuit representation; electric dipole; electromagnetic (EM) emissions; near field; numerical modeling; partial element equivalent circuit (PEEC) method; solar cell; solar panel;
fLanguage :
English
Journal_Title :
Electromagnetic Compatibility, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9375
Type :
jour
DOI :
10.1109/TEMC.2009.2027229
Filename :
5232884
Link To Document :
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