Issue |
BIO Web Conf.
Volume 62, 2023
2023 5th International Conference on Environment, Resources and Energy Engineering (EREE 2023)
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Article Number | 04001 | |
Number of page(s) | 8 | |
Section | Clean Energy Technology and Energy Management | |
DOI | https://doi.org/10.1051/bioconf/20236204001 | |
Published online | 07 July 2023 |
An experimental cum computational economical approach for evaluation of performance loss rate or degradation rate for realistic roof-top PV plant in south India
Energy Institute Bengaluru, Centre of Rajiv Gandhi Institute of Petroleum Technology, Karnataka 562157, India.
* Corresponding author: ssundaram@rgipt.ac.in; sivasankari66@gmail.com
Degradation rate in Solar photovoltaic systems is truly an important factor affecting economic feasibility. A linear drop in performance is typically assumed during the operational life-time of the PV system. However, the operational ground performance data reveal that the degradation rate for PVmodule based systems is often non-linear similar to the present investigation. This, if neglected, can cause financial uncertainty. So, this paper presents an experimental field estimation coupled with an analytical model-based approach for prediction of degradation of Solar PV systems. A section of 380 kWp PV system is considered for the present work. Furthermore, comparison of regressors encompassing non-linearities like random forest and decision tree-based are attempted for model formulation. The work is also supported with a comprehensive review on modelling approaches for assessment of degradation-based failure modes in Solar PV system. The experimental average value of degradation rate of the 380 kWp PV system is 7.78% or 0.0778. The reported analytical models possess a close match with the experimental results which are quantified by MPE whose value ranges from a minimum of 1.79% to a maximum of 10.4%. The annual performance ratio of the considered system for study is as less as 0.4 indicating and justifying the occurrence of failure effects in the system.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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