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Statistical Analysis of Solar Energy Resources of polycrystalline silicon module for a Standalone system in Indian context

Surendra H.H.1 , Seshachalam D.2 , Sudhindra K.R.3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 1258-1262, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.12581262

Online published on May 31, 2019

Copyright © Surendra H.H., Seshachalam D., Sudhindra K.R. . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Surendra H.H., Seshachalam D., Sudhindra K.R., “Statistical Analysis of Solar Energy Resources of polycrystalline silicon module for a Standalone system in Indian context,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1258-1262, 2019.

MLA Style Citation: Surendra H.H., Seshachalam D., Sudhindra K.R. "Statistical Analysis of Solar Energy Resources of polycrystalline silicon module for a Standalone system in Indian context." International Journal of Computer Sciences and Engineering 7.5 (2019): 1258-1262.

APA Style Citation: Surendra H.H., Seshachalam D., Sudhindra K.R., (2019). Statistical Analysis of Solar Energy Resources of polycrystalline silicon module for a Standalone system in Indian context. International Journal of Computer Sciences and Engineering, 7(5), 1258-1262.

BibTex Style Citation:
@article{H.H._2019,
author = {Surendra H.H., Seshachalam D., Sudhindra K.R.},
title = {Statistical Analysis of Solar Energy Resources of polycrystalline silicon module for a Standalone system in Indian context},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1258-1262},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4398},
doi = {https://doi.org/10.26438/ijcse/v7i5.12581262}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.12581262}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4398
TI - Statistical Analysis of Solar Energy Resources of polycrystalline silicon module for a Standalone system in Indian context
T2 - International Journal of Computer Sciences and Engineering
AU - Surendra H.H., Seshachalam D., Sudhindra K.R.
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1258-1262
IS - 5
VL - 7
SN - 2347-2693
ER -

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Abstract

Various statistical data for different weather condition obtained using metrological reports can be used to analyze and predict the feasibility to set up a standalone photovoltaic system at different geographical locations. Various steps involved in modeling the performance of photovoltaic systems include the physical parameters of the surrounding environment that helps in determining the output power generated. For any standalone system, a design and installation at best location is required to predict the optimal renewable energy capabilities. In this paper we intend to analyze the solar irradiation for a specific period through which we can calculate DC power generated. Solar parameters, power parameters and the Power Loss parameters are determined using system advisor model (SAM) which in turn helps us to predict the actual power generated. This virtual simulation facilitates the initial design consideration to set up a standalone power plant. The gross energy yield is obtained considering all losses and this supports to calculate the output power for a given solar module.

Key-Words / Index Term

Photovoltaic, Modeling, Solar Irradiance, Standalone, Geographical Information system (GIS)

References

[1] Joshua S. Stein, Christopher P. Cameron, Sandia National Laboratories, Ben Bourne SunPower Corporation, Adrianne Kimber First Solar, Jean Posbic BP Solar, and Terry Jester, Hudson Clean Energy, “A Standardized approach to PV System performance model Validation” Presented at 35th IEEE PVSC, Honolulu, HI June 25, 2010
[2] E. Romero Cadaval and Q. C. Zhong, “Grid connected photo voltaic plants: An alternative energy Source, replacing conventional sources" IEEE Ind. Electron. Mag., volume 9, no. 1, pp. 18-32, March 2015.
[3] M.Bazilian, I.Onyeji, M.Liebreich, I.MacGill, J.Chase,J.Shah, D.Gielen, D. Arent, D. Landfear, and S. Zhengrong, “Re-considering the economics of photovoltaic power,” Bloomberg New Energy Finance, 2012.
[4] PV Performance modeling collaborative-PVPMC [details available online at http://pvpmc.org]
[5] Jonathan F. Gosse, Peter A. Zurlis, James M. Clarke “Photovoltaic Systems National Joint Apprenticeship
&Training Committee for the Electrical Industry”, 2007
[6] NREL GIS, Solar Maps, U.S. Solar resource maps, http:// www .nrel.gov /
[7] DeSoto, W; Klein, S.; Beckman, W “Improvement and Validation of a Model for Photo voltaic Array Performance, Solar Energy”, volume 80, pp.7888, 2006.
[8] Boyd, M. Klein, S. Reindl, D, Dougherty, Evaluation and Validation of Equivalent Circuit Photo voltaic Solar Cell Performance Models. I. Solar Energy Engr. Vol U33, 2011.
[9] Dobos, A. “An Improved Coefficient Calculator for the California Energy Commission 6 Parameter Photo voltaic Module Model”. I. Solar Energy Engr., vol U34, 2012.
[10] Brano V L, Orioli A, Ciulla G, Gangi A D. “An improved five-parameter model for photovoltaic modules. Solar Energy Materials and Solar Cells”, 2010, 94(8): 1358-1370.
[11] Mahmoud Y, Xiao W, Zeineldin H H. “A Simple Approach to Modeling and Simulation of Photovoltaic Modules”. IEEE Transactions on Sustainable Energy 2011, 3(1), page185-186.
[12] Siddique H, Xu P, De Doncker R. “Parameter extraction algorithm for one-diode model of PV panels based on datasheet values”. 2013 International Conference on Clean Electrical Power (ICCEP). 2013.
[13] Orioli A, Gangi A D. “A procedure to calculate the five-parameter model of crystalline silicon photovoltaic modules on the basis of the tabular performance data” Applied Energy 2013; 102(): page1160–1177.
[14] M. Chegaar et al. “Effect of illumination intensity on solar cells parameters Energy Procedia” 36 ( 2013 ) 722 – 729. Published by Elsevier
[15] G. Barker Mountain Energy Partnership Longmont, Colorado P. Norton National Renewable Energy Laboratory presented at the Solar 2003 Conference: America’s Secure Energy Austin, Texas June 21–26, 2003
[16] Caisheng Wang, Senior Member, IEEE, and M. Hashem Nehrir, Senior Member, IEEE “Power Management of a Stand-Alone Wind/Photovoltaic/Fuel Cell Energy System” IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 23, NO. 3, SEPTEMBER 2008 pg957-67
[17] S. Joshi and D.K. Rai, “Design and Simulations of Load Management Impact on Power System” International Journal of Scientific Research in Computer Science and EngineeringVol.5, Issue.6, pp.79-82. E-ISSN: 2320-7639
[18] S. Joshi and D.K. Rai, “Design and Simulations of Load Management Impact on Power System” International Journal of Scientific Research in Computer Science and Engineering Vol.5, Issue.6, pp.75-78 E-ISSN: 2320-7639