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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)

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