A contemporary study on solar energy applications and evaluation in real-time environment

Authors

Subashini Parthasarathy¹ , Krishnaveni Marimuthu¹ , Dhivyaprabha Thookanayakanpalayam Thyagaraj² , Malini Rajendhiran³ , Keerthika Vadivelu³ , Kaviya Gopalasamy³

1. Dept of CS, CMLI, Avinashilingam University, Coimbatore
2. CMLI, Avinashilingam University, Coimbatore
3. Dept of CS, Avinashilingam University, Coimbatore

Conference / event

National Conference on Multidisciplinary Research for Sustainable Innovations (NCMRSI 2023), February 2023 (Coimbatore, India)

Poster summary

A case study is conducted to investigate the performance efficiency of solar panels inclusive of traditional PV panels and optimized PV panels deployed at our institution. The observation of this work demonstrates that optimized PV panels outperform the traditional method.

Keywords

Green energy, Solar panels, On-grid architecture, Energy monitoring & analysis

Research areas

Environmental Sciences, Computer and Information Science

References

1. Reda Hassanien Emam Hassanien, Ming Li, Wei Dong Lin,"Advanced applications of solar energy in agricultural greenhouses", Renewable and Sustainable Energy Reviews,54(2016), 989-1001.
2. Mohammad Vahedi Torshizi , Atefeh Hosseini Mighani,"The Application of Solar Energy in Agricultural Systems", Journal of Renewable Energy and Sustainable Development (RESD), 3(2), June 2017, DOI: http://dx.doi.org/10.21622/RESD.2017.03.2.234.
3. Surendra Poonia, Dilip Jain, P. Santra, A.K. Singh,"Use of solar energy in agricultural production and processing", Indian Farming 68(09):(2018),104–107.

Funding

1. Department of Science & Technology (DST) (No. DST/CURIE-AI (Avinashilingam)/04/2020-PHASE-II (G))

Supplemental files

1. Published Manuscript   Download

Additional information

Competing interests

No competing interests were disclosed.

Data availability statement

The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.

Creative Commons license

Copyright © 2023 Parthasarathy et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.