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

Description

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. 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.

Steps to reproduce

1. Install the 10 W photovoltaic modules on the rooftop of a six-story building under outdoor environmental conditions. 2. Clean the module surfaces and record the starting date of the natural dust accumulation period. 3. Allow natural dust deposition for 42 days during the dry season (4 November–16 December 2025). 4. Individually test each module under naturally dusty conditions using a commercially available I–V tracer and record Voc, Isc, Vmp, Imp, Pmax, FF, and irradiance. 5. Clean each module using water and repeat the I–V measurements under cleaned conditions. 6. Export the measurement data from the I–V tracer using the associated software and organize the data in spreadsheet format. 7. Calculate percentage power loss using and compile the results into tables and graphical representations.

Institutions

• Bangladesh University of Business and Technology

  Dhaka Division, Dhaka

Categories

Licence