Research Papers

Performance Evaluation of Two Photovoltaic Cell Technologies in Fluctuating Weather Conditions, Using EN50530 Test Procedure

[+] Author and Article Information
L. Premalatha

School of Electrical Engineering,
VIT University,
Tamilnadu 600127, India
e-mail: premaprak@yahoo.com

Nasrudin Abd Rahim

University of Malaya,
Kuala Lumpur 50603, Malaysia
e-mail: nasrudin@um.edu.my

Mohamad Fathi

University of Malaya,
Kuala Lumpur 50603, Malaysia
e-mail: fathi@um.edu.my

Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING: INCLUDING WIND ENERGY AND BUILDING ENERGY CONSERVATION. Manuscript received April 30, 2015; final manuscript received November 28, 2015; published online January 11, 2016. Assoc. Editor: Mary Jane Hale.

J. Sol. Energy Eng 138(2), 021001 (Jan 11, 2016) (5 pages) Paper No: SOL-15-1119; doi: 10.1115/1.4032242 History: Received April 30, 2015; Revised November 28, 2015

Generally, photovoltaic (PV) cell manufacturers provide technical information, at standard test conditions (STCs) and nominal operating cell temperature (NOCT) ratings. However, this information is not sufficient to accurately predict the module operations under dynamic weather. In this study, test is conducted under fluctuating irradiance conditions, provided by EN50530 test procedure, to evaluate the performance of multi crystalline silicon and thin-film PV cells. Particular attention is given to the influence that the level and the slope of irradiance change have on the energy yield of PV technologies. This analysis aimed at revealing the appropriate selection of PV technology for obtaining maximum power under dynamic weather conditions.

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Grahic Jump Location
Fig. 3

Performance of PV technologies for variations between 300 and 1000 W/m2 in irradiance. (a) Performance of PV inverter with mc-Si and (b) performance of PV inverter with a-Si.

Grahic Jump Location
Fig. 1

Ramp test pattern. (a) Test with 10–50% irradiance variations and (b) test with 30–100% irradiance variations.

Grahic Jump Location
Fig. 2

Performance of PV technologies for variations between 100 and 500 W/m2 in irradiance. (a) Performance of PV inverter with mc-Si and (b) performance of PV inverter with a-Si.

Grahic Jump Location
Fig. 4

Power output of PV technologies for different radiations

Grahic Jump Location
Fig. 5

MPPT efficiency of PV inverter. (a) 10–50% change in irradiation and (b) 30–100% change in irradiation.

Grahic Jump Location
Fig. 6

Average power output of PV technologies for different slopes. (a) 10–50% variation in irradiation and (b) 30–100% variation in irradiation.



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