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Data · dataset · 2026

Dataset of electrical performance measurements of 10 W rooftop photovoltaic modules under naturally dusty and cleaned conditions during the dry season in Bangladesh

Listed in Teesside University Research Data Repository

This dataset contains the electrical performance measurements of 35 rooftop-installed 10 W photovoltaic (PV) modules exposed to natural outdoor conditions during the dry season in Bangladesh.

Description

The modules were monitored over 42 days (4 November–16 December 2025). At the end of the exposure period, each module was individually tested under naturally dusty conditions and retested after water cleaning using a commercially available I–V tracer.

The dataset includes open-circuit voltage (Voc), short-circuit current (Isc), maximum power point voltage (Vmp), maximum power point current (Imp), maximum output power (Pmax), fill factor (FF), percentage power loss, and corresponding I–V and P–V characteristics (OPC and STC) for both dust and clean conditions. The data are provided in spreadsheet format with summary statistics and graphical representations. This dataset can be reused for photovoltaic soiling studies, outdoor performance evaluation, model validation, machine learning applications, maintenance planning, and comparative analyses of rooftop photovoltaic systems under natural environmental conditions.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Photovoltaic power systems 78%
Provenance · 1 source records, 12 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/prkc7z4m6x.19 d agoJSON v1
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