E3S Web Conf.
Volume 67, 2018The 3rd International Tropical Renewable Energy Conference “Sustainable Development of Tropical Renewable Energy” (i-TREC 2018)
|Number of page(s)||5|
|Section||Smart Grid and Regulation|
|Published online||26 November 2018|
Simple method for I-V characterization curve for low power solar cell using arduino nano
Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok 16424, Indonesia
* Coresponding author: email@example.com
In general, solar cells properties were measured under standardized environment. Recent method uses a Solar Simulator or Sun Simulator to measure a solar cell characteristic by the condition of 1000 W/m2 irradiance and 25°C temperature. However, solar simulator is expensive, therefore in this paper we propose a simple I-V characterization method with microcontroller, potentiometer, and sensors to measure I-V characterization of solar cell. Our method used a microcontroller to record any detected current and voltage from sensors generated by the solar cell driven by halogen light on low power poly-Si solar cell. This method is limited by the sensor rated voltage and current, thus a higher power solar cell is possible to be measured with a higher rated voltage and a current sensor for the future development. The measured Voc and Isc of 3 Wp poly-Si solar cell have 1.94% difference in Voc and 49.1% difference in Isc against the standardized environment. This method is able to characterize a low power solar cell with slight difference on Voc and about half value of Isc compared to standardized I-V curve characterization due to the limitation of halogen lamp spectral irradiance.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.