UPM Institutional Repository

Daily real-time monitoring of the PV thin film modules for analysis and system modeling


Citation

Sabri, Yasameen Hussein and Wan Hasan, Wan Zuha and Shafie, Suhaidi and Mohd Radzi, Mohd Amran and Sabry, Ahmad H. (2017) Daily real-time monitoring of the PV thin film modules for analysis and system modeling. In: 4th IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), 28-30 Nov. 2017, Putrajaya, Malaysia. .

Abstract

The power output of a Photovoltaic system is mainly influenced by the weather conditions. Semitransparent [CdTe] Thin-Film PV module is one of the promising green energy sources that need to be more investigated in terms of efficiency and modeling. This paper presents real-time daily measurements for such modules that serve the system design, prediction, and modeling. Single and multi-layer configurations categories have been used as a platform to test the PV system at various temperature and irradiance ranges. Experimental measurements were conducted at UPM University, Serdang, Malaysia, where a 6 different modules are tested according to their interconnection and installation. A wireless data acquisition card, of one second sampling interval, has been utilized to acquire the weather and electrical parameters (module temperature, solar irradiance, Voltage, and Current). The result of the harvested daily energy shows a value around (2.51) as a maximum efficiency in a cloudy day conditions and it is influenced by the transparency factor when configured in a multi-layer. It is found that the modules' performance is similar to that of a Silicon-based solar panels.


Download File

[img]
Preview
Text (Abstract)
65344.pdf

Download (35kB) | Preview

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1109/ICSIMA.2017.8312029
Publisher: IEEE
Keywords: PV thin-film; Photovoltaic systems; System efficiency; Real-time monitoring; PV modeling
Depositing User: Nabilah Mustapa
Date Deposited: 05 Oct 2018 09:55
Last Modified: 05 Oct 2018 09:55
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICSIMA.2017.8312029
URI: http://psasir.upm.edu.my/id/eprint/65344
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item