A method for predicting long-term average performance of photovoltaic systems

Hove, Tawanda

doi:10.1016/s0960-1481(99)00131-7

Cited by 83 publications

(30 citation statements)

References 10 publications

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“…Another expression for the cell efficiency assuming that the transmittanceeabsorbance losses (sa/U L ) are constant over the relevant operating temperature range is given as [21]:…”

Section: Heat Transfer Coefficientsmentioning

confidence: 99%

Validated real-time energy models for small-scale grid-connected PV-systems

Ayompe¹,

Duffy²,

McCormack

et al. 2010

Energy

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“…Another expression for the cell efficiency assuming that the transmittanceeabsorbance losses (sa/U L ) are constant over the relevant operating temperature range is given as [21]:…”

Section: Heat Transfer Coefficientsmentioning

confidence: 99%

Validated real-time energy models for small-scale grid-connected PV-systems

Ayompe¹,

Duffy²,

McCormack

et al. 2010

Energy

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“…Also some power efficiency models [25][26][27][28][29] can predict the average performance of a PV system under variable climatic conditions.…”

Section: Introductionmentioning

confidence: 99%

“…Most of the above-mentioned models require either detailed data [26,[30][31][32][33][34][35][36][37] and are complicated to use [35,36] or restricted in economic performance evaluation [17][18][19][20][21]41]. These limitations of the mentioned literature are barrier in easy manipulation of the system performance.…”

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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“…The models point out the effect of different factors on the corresponding test sites. The complexity of the model is determined by the relevant parameter chosen during the study [10,4,7].…”

Section: Introductionmentioning

confidence: 99%

Impact Study on Power Generation from Photovoltaic System due to Change in Local Irradiance and Temperature at Kathmandu Valley, Nepal

Shrestha

Bhattarai

2017

J. Inst. Engineering

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Solar Photovoltaic system has become popular among the renewable energy due to free availability and low maintenance costs. Economically, the decreasing cost from continuous development adds another motive for the use of photovoltaic system. There has been a continuous study regarding the estimation on output of the photovoltaic system, in normal operating conditions. The output is subject to variations due to various environmental factors. The aim of this study is to evaluate how Design of Experiments (DoE) Method is used to model the impact of meteorological data on the electric power generated by the photovoltaic system. In this paper, the simulation and experiment based analysis has been presented and the degree of impact of irradiance and temperature on the output power of the photovoltaic module has been illustrated.

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A method for predicting long-term average performance of photovoltaic systems

Cited by 83 publications

References 10 publications

Validated real-time energy models for small-scale grid-connected PV-systems

Validated real-time energy models for small-scale grid-connected PV-systems

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

Impact Study on Power Generation from Photovoltaic System due to Change in Local Irradiance and Temperature at Kathmandu Valley, Nepal

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