Performance evaluation and financial viability analysis of grid associated 10 MWP solar photovoltaic power plant at UP India

The main aim of this simulation work is to assess the financial possibility analysis of 10 MW P grid-associated solar photovoltaic (PV) power plants in seven cities i.e. Lucknow, Agra, Meerut, Gorakhpur, Kanpur, Allahabad, and Varanasi of Uttar Pradesh (UP) state of India with the RETScreen Software...

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Published in:Scientific reports Vol. 12; no. 1; p. 22380
Main Authors: Singh, Shailendra, Alharthi, Majed, Anand, Abhishek, Shukla, Amritanshu, Sharma, Atul, Panchal, Hitesh
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 26-12-2022
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Summary:The main aim of this simulation work is to assess the financial possibility analysis of 10 MW P grid-associated solar photovoltaic (PV) power plants in seven cities i.e. Lucknow, Agra, Meerut, Gorakhpur, Kanpur, Allahabad, and Varanasi of Uttar Pradesh (UP) state of India with the RETScreen Software. The presented research work demonstrates the method of selection of profitable locations for solar PV power plants according to financial viability indicators. It is found that Allahabad city is the most profitable site with values of 16,686 MWh of electricity exported to the grid (EEG), US$20,896.30/year of electricity export revenue (EER), 9.4 years of simple payback period (SPP), 7.7 years of equity payback period (EPP), 19545.9 tCO 2 /year of GHG emission reduction, US$3492.82/year of the annual life cycle savings (ALCS), 1.5 benefit-cost (B-C) ratio, US$27394.59 of net present value (NPV), 16.5% internal rate of return on equity (IRR-equity), 12.3% modified internal rate of return on equity (MIRR-equity), 5.4% internal rate of return on assets (IRR-assets), and 7% modified internal rate of return on assets (MIRR-assets). The second most profitable site is found in Gorakhpur city and Varanasi city is found the least profitable site. The other two cities, Agra and Kanpur are not found suitable because of the negative values of NPV and ALCS.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-022-26817-4