System performance and detectable faults of a 10-year old 1.1 kWp GCPV system in Malaysia / Nurmalessa Muhammad ... [et al.].

Muhammad, Nurmalessa and Zakaria, Nor Zaini and Shaari, Sulaiman and Omar, Ahmad Maliki (2017) System performance and detectable faults of a 10-year old 1.1 kWp GCPV system in Malaysia / Nurmalessa Muhammad ... [et al.]. Science Letters (ScL), 11 (1): 3. pp. 10-17. ISSN (eISSN): 2682-8626

Abstract

This paper presents the findings of a study conducted to evaluate the performance and to identify faults of a 10-year old 1.1kW grid-connected photovoltaic (GCPV) system installed at Green Energy Research Center (GERC), Universiti Teknologi MARA (UiTM), Shah Alam. The system performance was evaluated by comparing the real operating field data with the data declared by the manufacturer. Eight performance indicators were used, which are: reference yield, array yield, final yield, capture losses, system losses, performance ratio, PV array efficiency and total efficiency. The fault detection has used three techniques - which were visual inspection as outlined in the International Energy Agency (IEA) document, thermal imager technique and the I-V curve characteristics. The finding for the system performance evaluation gives a 13.2% difference between the real operating field data and the declared manufacturer data. Among the
faults detected from the visual inspection are browning and cracks of PV modules.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Muhammad, Nurmalessa
nurmalessa@uitm.edu.my
Zakaria, Nor Zaini
UNSPECIFIED
Shaari, Sulaiman
UNSPECIFIED
Omar, Ahmad Maliki
UNSPECIFIED
Subjects: Q Science > QC Physics > Electricity and magnetism > Electricity
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Applied Sciences
Journal or Publication Title: Science Letters (ScL)
UiTM Journal Collections: UiTM Journal > Science Letters (ScL)
ISSN: (eISSN): 2682-8626
Volume: 11
Number: 1
Page Range: pp. 10-17
Keywords: GCPV system, system performance, fault detection
Date: June 2017
URI: https://ir.uitm.edu.my/id/eprint/60296
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