PV-GIS: a web-based solar radiation database for the calculation of PV potential in Europe

Šúri, Marcel; Huld, Thomas; Dunlop, Ewan D.

doi:10.1080/14786450512331329556

Cited by 237 publications

(82 citation statements)

References 16 publications

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“…The expected annual energy output is in this case provided for an annual insolation of 1400 kW h and an average daytime annual temperature of 16 C. The reference values of annual insolation and average daytime ambient temperature chosen here are rounded from those found at ESTI during the measurement period, and are also typical of a large part of continental Europe. 22 Indeed, a standard by default must cover the most common cases, excluding very extreme situations, so such an average type of climate may be sufficient to cover most applications, and allow for useful comparison of different modules. It is hoped to be eventually possible to provide an equation for derating the energy for reasonable variations in total insolation and average temperature, such that corrections may be made for specific cases as indicated in the proposed specification plate in Table IV.…”

Section: Discussionmentioning

confidence: 99%

“…21,22 When the data are given as horizontal global irradiance, the in-plane global irradiance can be calculated using one of several models described in the literature. [23][24][25] Online databases of local ambient temperature data are also common, for example through the archives of national weather centres.…”

Section: Ambient To Module Temperature Transformationmentioning

confidence: 99%

See 1 more Smart Citation

A practical method for the energy rating of c‐Si photovoltaic modules based on standard tests

Kenny

Dunlop

Ossenbrink

et al. 2005

Progress in Photovoltaics

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The performance of a photovoltaic module at Standard Test Conditions (STC) is valuable for comparing the peak performance of different module types. It does not, however, give enough information to accurately predict how much energy a module will deliver when subjected to real operating conditions. There are several proposals for an energy rating for PV modules which attempt to account for the varying operating conditions that one encounters in the field. In this paper, we present an approach with the emphasis on simplicity and practicality that incorporates existing standard measurements to determine the energy output as a function of global in-plane irradiance and ambient temperature. The method is applied to crystalline Si modules and tested with outdoor measurements, and a good accuracy of prediction of energy production is observed. Finally, a proposal is made for a simple Energy Rating labeling of PV modules.

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Section: Discussionmentioning

confidence: 99%

Section: Ambient To Module Temperature Transformationmentioning

confidence: 99%

A practical method for the energy rating of c‐Si photovoltaic modules based on standard tests

Kenny

Dunlop

Ossenbrink

et al. 2005

Progress in Photovoltaics

View full text Add to dashboard Cite

show abstract

“…The algorithms used for this are presented by Súri and Hofierka [26], using the inclinedplane model of Muneer [27]. A number of related tools were released as part of PVMAPS [25], allowing calculate the in-plane irradiance on tracking surfaces [28,29] as well as the annual optimum angle for maximum irradiation on fixed planes [30].…”

Section: Calculation Of Solar Radiation On Tilted and Sun-tracking Sumentioning

confidence: 99%

Comparison of satellite-retrieved high-resolution solar radiation datasets for South Africa

Amillo¹,

Ntsangwane

Huld³

et al. 2018

J. energy South. Afr.

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“…The computation of solar irradiation values can be extrapolated for every azimuth/tilt combination obtaining a function, usually called tilt-orientation-factors (TOF), which can be represented in a 3D diagram. This TOF function can be considered an additional product, since it represents the optimal tilt and orientation for a location, which is the main aim of several location-based studies [45,46].…”

Section: Estimation Of the Solar Irradiationmentioning

confidence: 99%

Large Scale Automatic Analysis and Classification of Roof Surfaces for the Installation of Solar Panels Using a Multi-Sensor Aerial Platform

et al. 2015

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Abstract:A low-cost multi-sensor aerial platform, aerial trike, equipped with visible and thermographic sensors is used for the acquisition of all the data needed for the automatic analysis and classification of roof surfaces regarding their suitability to harbor solar panels. The geometry of a georeferenced 3D point cloud generated from visible images using photogrammetric and computer vision algorithms, and the temperatures measured on thermographic images are decisive to evaluate the areas, tilts, orientations and the existence of obstacles to locate the optimal zones inside each roof surface for the installation of solar panels. This information is complemented with the estimation of the solar irradiation received by each surface. This way, large areas may be efficiently analyzed obtaining as final result the optimal locations for the placement of solar panels as well as the information necessary (location, orientation, tilt, area and solar irradiation) to estimate the productivity of a solar panel from its technical characteristics.

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PV-GIS: a web-based solar radiation database for the calculation of PV potential in Europe

Cited by 237 publications

References 16 publications

A practical method for the energy rating of c‐Si photovoltaic modules based on standard tests

A practical method for the energy rating of c‐Si photovoltaic modules based on standard tests

Comparison of satellite-retrieved high-resolution solar radiation datasets for South Africa

Large Scale Automatic Analysis and Classification of Roof Surfaces for the Installation of Solar Panels Using a Multi-Sensor Aerial Platform

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