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Conference object . 2025
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2025
License: CC BY
Data sources: Datacite
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Optimizing Solar Energy Planning With PVsyst: A Case Study of Malandighi, Durgapur

Authors: Dutta, Shantanu; Garai, Sudarshan;

Optimizing Solar Energy Planning With PVsyst: A Case Study of Malandighi, Durgapur

Abstract

Solar energy is key to sustainable development, and accurate forecasting is essential for optimizing photovoltaic (PV) performance. This study evaluates a 45.1 kWp grid-connected PV system in Malandighi, India, using PVsyst simulation software. The system produced 59,810 kWh annually with a Performance Ratio (PR) of 81.77%, aligning with industry standards and validating the model’s accuracy under local conditions. Loss analysis highlighted areas for improvement, including soiling (3%), thermal losses (6.7%), and light-induced degradation (2%). Suggested solutions—like regular cleaning, passive cooling, and better inverter configuration—can boost performance. Seasonal trends showed peak generation in April–May and lower output during the July–August monsoon, well captured by the simulation. Overall, PVsyst proved reliable for site-specific forecasting in low-wind regions. Future work may explore tilt optimization, energy storage integration, and improved uncertainty modeling.

Keywords

Solar forecasting, PVsyst, photovoltaic systems, Malandighi, Durgapur, renewable energy, smart grid, energy optimization, meteorological data, simulation modeling.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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