Share This Article:

Computation of Protection Zone of a Lightning Rod Using Method of Moments and Monte Carlo Integration Technique

Abstract Full-Text HTML Download Download as PDF (Size:773KB) PP. 118-121
DOI: 10.4236/jemaa.2011.34019    5,499 Downloads   9,894 Views   Citations

ABSTRACT

An accurate determination of lightning protection zone is an important issue in the analysis and design of an appropri-ate lightning protection system. This paper presents a fast and accurate protection zone determination methodology for metallic lightning rod. The methodology is based on Quasi Monte Carlo Integration technique applied to Method of Moments (MoM) solution of Integral Equations. As an example, solution of the integral equation for unknown charge distribution on lightning rod is obtained. The electric field in the region surrounding the rod is then computed and the protection zone plotted accordingly. The effect of the thickness of the rod on the protection zone is also studied.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

A. Srivastava, A. Dubey, S. Shekhar and M. Mishra, "Computation of Protection Zone of a Lightning Rod Using Method of Moments and Monte Carlo Integration Technique," Journal of Electromagnetic Analysis and Applications, Vol. 3 No. 4, 2011, pp. 118-121. doi: 10.4236/jemaa.2011.34019.

References

[1] F. D’Alessandro, “On the Optimum Rod Geometry for Practical Lightning Protection Systems,” Journal of Elec-trostatics, Vol. 65, No. 2, February 2007, pp. 113-121. doi:10.1016/j.elstat.2006.07.011
[2] C. B. Moore, W. Rison, J. Mathis and G. Aulich, “Lightning Rod Im-provement Studies,” Journal of Applied Meteorology, Vol. 39, No. 5, May 2000, pp. 593-609.
[3] V. A. Rakov and M. A. Uman, “Lightning: Physics and Effects,” Cambridge University Press, Cambridge, 2003.
[4] R. F. Harrington, “Field Computation by Moment Methods,” Macmillan, New York, 1968.
[5] H. Niederreiter, “Random Number Generation and Quasi- Monte Carlo Methods,” The Society for Industrial and Applied Mathematics (SIAM), Pennsylvania, 1992.
[6] J. H. Halton, “On the Efficiency of Certain Quasi-Random Sequences of Points in Evaluating Multi-Dimensional Integrals,” Numerische Mathematik, Vol. 2, No. 1, 1996, pp. 84-90. doi:10.1007/BF01386213
[7] M. Mishra, N. Gupta, A. Dubey and S. Shekhar, “Application of Quasi Monte Carlo Integration Technique in Efficient Capacitance Computation,” Progress in Electromagnetics Research, Vol. 90, 2009, pp. 309-322. doi:10.2528/PIER09011310

  
comments powered by Disqus

Copyright © 2019 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.