Field-test analysis of PV system output characteristics focusing on module temperature

Nishioka, Kensuke; Hatayama, Tomoaki; Uraoka, Yukiharu; Fuyuki, Takashi; Hagihara, R.; Watanabe, Marcos N.

doi:10.1016/s0927-0248(02)00148-4

Cited by 121 publications

(48 citation statements)

References 2 publications

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“…Nevertheless, some similar works have been done throughout the world. The results show also the same decreasing trend of power output and efficiency with the increase of temperature [7] [11] [12]. However, this result is not in line with the one found in the work Ref.…”

Section: Discussion Of Resultsmentioning

confidence: 58%

Impact of Climatic Parameters on the Performance of Solar Photovoltaic (PV) Module in Niamey

Bonkaney¹,

Madougou²,

Adamou³

2017

SGRE

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The sensitivity of mono-crystalline solar PV module towards dust accumulation, ambient temperature, relative humidity, and cloud cover is investigated from May to August 2015 for Niamey's environment. Two solar modules with the same characteristics have been used to carry out the impacts of the dust on the solar PV module. One of the modules is being cleaned every morning and the second one was used for monitoring the effect of dust accumulation onto the surface of the unclean module for May and June. The ambient temperature around the solar PV module was recorded at the same time with the output voltage and the output current to assess the impacts of ambient temperature on the PV conversion efficiency. In addition to these field test measurements, the solar radiation data measured in National Center of Solar Energy (CNES) of Niamey were also used. Also the relative humidity for the study area data obtained NASA power agro-climatology website was used. Results show that the dust accumulation has the greatest impact on the performance of the PV module followed by temperature, relative humidity and cloud cover. Exposing the module in 23 days has reduced the energy output by 15.29%. The power output and the conversion efficiency of the PV module have dropped by 2.6% and 0.49% respectively. The relative humidity also has reduced the energy output by 4.3 Wh/m 2 /day.

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Section: Discussion Of Resultsmentioning

confidence: 58%

Impact of Climatic Parameters on the Performance of Solar Photovoltaic (PV) Module in Niamey

Bonkaney¹,

Madougou²,

Adamou³

2017

SGRE

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show abstract

“…In the presented method with the concept of eq. (20), the parameters dependent on module temperature may affect the efficiency of the PV system, [16][17]. Hence, for successful MPPT under all conditions, the effects of temperature variations on V T and I 0 need to be considered.…”

Section: Investigation Of a Robust Algorithm By Simulationmentioning

confidence: 99%

Developed MPPT Algorithm for Photovoltaic Systems without a Voltage Sensor

Momayyezan¹,

Iman‐Eini²

2013

Journal of Power Electronics

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This paper presents a study of maximum power point tracking (MPPT) for photovoltaic arrays with only one current sensor. Initially, a review of MPPT methods with only a current sensor is performed with extension for a variety of dc/dc converters. Furthermore, the same topology is developed to achieve better performance in the presence of sensor offset and environmental noise. The proposed method is robust, cost effective, and behaves well dynamically and in the steady state. After a theoretical analysis of presented approach, its validity and effectiveness are verified by simulation and experimental results.

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“…The environmental factors influencing the performance of PV module are analyzed in the literature [11][12][13][14]. The effect of temperature on the performance of PV modules is analyzed in [15][16][17]. But, considerably lesser number of literature is present in predicting the actual output of PV power plant.…”

Section: Introductionmentioning

confidence: 99%

Mathematical method to find best suited PV technology for different climatic zones of India

Chakraborty

Kumar

Haldkar

et al. 2017

Int J Energy Environ Eng

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This paper presents a reliable mathematical method to predict the energy generation from grid connected photovoltaic plant of different commercially used technologies in different zones of India. Global horizontal insolation (GHI) and daytime temperature are the two major parameters affecting the output of photovoltaic (PV) plant. Depending on those two major parameters, India is classified into 15 climatic zones. Typical Meteorological Year data were collected from National Renewable Energy Laboratory to classify India in different climatic zones. Energy generation of different commercially used PV technologies in different climatic zones of India is predicted using proposed mathematical method. These results show a decisive study to choose the best PV technology for different climatic zones of India. Results predict that in almost all climatic zones, amorphous silicon (a-Si) is the best suitable PV technology. In very low-temperature zones, irrespective of GHI, the second best suitable PV technology is mono and cadmium telluride (CdTe) as generation from these two technologies is same. Whereas in other climatic zones, after a-Si the best suitable is CdTe PV technology. Predicted energy generation is validated with the 1-year generation of 2014 from 15 working PV plants of different technologies. Predicted generation is in good co-relation with the actual real-time generation from the PV plants.

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Field-test analysis of PV system output characteristics focusing on module temperature

Cited by 121 publications

References 2 publications

Impact of Climatic Parameters on the Performance of Solar Photovoltaic (PV) Module in Niamey

Impact of Climatic Parameters on the Performance of Solar Photovoltaic (PV) Module in Niamey

Developed MPPT Algorithm for Photovoltaic Systems without a Voltage Sensor

Mathematical method to find best suited PV technology for different climatic zones of India

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