A power-rating model for crystalline silicon PV modules

Huld, Thomas; Friesen, Gabi; Skoczek, Artur; Kenny, Robert P.; Sample, Tony; Field, M.B.; Dunlop, Ewan D.

doi:10.1016/j.solmat.2011.07.026

Cited by 182 publications

(132 citation statements)

References 15 publications

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“…Instantaneous PV output power, P h , is calculated using the model described in Huld et al, 2011 [35]. In this model, the instantaneous PV power is an explicit function of in-plane irradiance and module temperature.…”

Section: Model For Instantaneous Output Power Of the Pv Modulesmentioning

confidence: 99%

“…In this model, the instantaneous PV power is an explicit function of in-plane irradiance and module temperature. The coefficients used for modelling crystalline silicon (c-Si) PV modules are also taken from [35]. The module temperature T mod has been calculated from air temperature T amb and in-plane irradiance G i using the following simple model:…”

Section: Model For Instantaneous Output Power Of the Pv Modulesmentioning

confidence: 99%

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Geospatial Analysis of Photovoltaic Mini-Grid System Performance

2017

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We present a geographic information system (GIS)-based tool for estimating the performance of photovoltaic (PV) mini-grid system over large geographical areas. The methodology consists of geospatial analysis and mapping of the energy output and reliability of PV mini-grid system. The algorithm uses a combination of hourly solar radiation data from satellites combined with measured data on PV module and battery performance and estimated electricity consumption data. The methods also make it possible to optimize the PV array and battery storage size for a given location. Results are presented for an area covering Africa and most of Southern and Central Asia. We also investigate the effects of using Li-ion batteries instead of the traditional lead-acid batteries. The use of our spatial analysis as decision support tool could help governments, local authorities and non-governmental organizations to investigate the suitability of PV mini-grids for electrification of regions where access to electricity is lacking. In this way it is possible to identify areas where PV mini-grids are most suitable.

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Section: Model For Instantaneous Output Power Of the Pv Modulesmentioning

confidence: 99%

Section: Model For Instantaneous Output Power Of the Pv Modulesmentioning

confidence: 99%

Geospatial Analysis of Photovoltaic Mini-Grid System Performance

2017

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“…The model may be in the form of a mathematical expression or it may use discrete measured data and an interpolation method. For the present study we have used the model described in [17]. The validation has shown that the model works well for several different PV technologies.…”

Section: Pv Performancementioning

confidence: 99%

“…• Even when all these influences are held constant, the efficiency will still depend on the light intensity [3,[15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Estimating PV Module Performance over Large Geographical Regions: The Role of Irradiance, Air Temperature, Wind Speed and Solar Spectrum

2015

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We present a study of how photovoltaic (PV) module performance varies on continental scale. Mathematical models have been used to take into account shallow-angle reflectivity, spectral sensitivity, dependence of module efficiency on irradiance and module temperature as well as how the module temperature depends on irradiance, ambient temperature and wind speed. Spectrally resolved irradiance data retrieved from satellite images are combined with temperature and wind speed data from global computational weather forecast data to produce maps of PV performance for Eurasia and Africa. Results show that module reflectivity causes a fairly small drop of 2%-4% in PV performance. Spectral effects may modify the performance by up to ±6%, depending on location and module type. The strongest effect is seen in the dependence on irradiance and module temperature, which may range from −20% to +5% at different locations.

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“…PV technologies are affected mainly by irradiance and temperature level, but also by local environmental conditions such as wind, humidity, altitude, salty air, dust and pollution, and mounting support, including its inclination from the horizontal plane [6,7].…”

Section: Pv Performance and Reliability In The Northeastmentioning

confidence: 99%

Advancing the deployment of utility-scale photovoltaic plants in the northeast

Lofaro

Villaran

Colli

2012

2012 38th IEEE Photovoltaic Specialists Conference

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-As one of the premier research laboratories operated by the Department of Energy, Brookhaven National Laboratory (BNL) is pursuing an energy research agenda that focuses on renewable energy systems and will help to secure the nation's energy security. A key element of the BNL research is the advancement of grid-connected utility-scale solar photovoltaic (PV) plants, particularly in the northeastern part of the country where BNL is located. While a great deal of information has been generated regarding solar PV systems located in mostly sunny, hot, arid climates of the southwest US, very little data is available to characterize the performance of these systems in the cool, humid, frequently overcast climates experienced in the northeastern portion of the country. Recognizing that there is both a need and a market for solar PV generation in the northeast, BNL is pursuing research that will advance the deployment of this important renewable energy resource. BNL's research will leverage access to unique time-resolved data sets from the 37MWp solar array recently developed on its campus. In addition, BNL is developing a separate 1MWp solar research array on its campus that will allow field testing of new PV system technologies, including solar modules and balance of plant equipment, such as inverters, energy storage devices, and control platforms. These research capabilities will form the cornerstone of the new Northeast Solar Energy Research Center (NSERC) being developed at BNL. In this paper, an overview of BNL's energy research agenda is given, along with a description of the 37MWp solar array and the NSERC.

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A power-rating model for crystalline silicon PV modules

Cited by 182 publications

References 15 publications

Geospatial Analysis of Photovoltaic Mini-Grid System Performance

Geospatial Analysis of Photovoltaic Mini-Grid System Performance

Estimating PV Module Performance over Large Geographical Regions: The Role of Irradiance, Air Temperature, Wind Speed and Solar Spectrum

Advancing the deployment of utility-scale photovoltaic plants in the northeast

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