Modifications of the Heliosat procedure for irradiance estimates from satellite images

Beyer, Hans Georg; Costanzo, Claudio; Heinemann, Detlev

doi:10.1016/0038-092x(95)00092-6

Cited by 206 publications

(132 citation statements)

References 12 publications

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“…From the above evidence, we conclude that a linear correlation between the global clearness index and irradiance (like the Heliosat method (Diabate Â, 1988) or generic formulation (Beyer, 1996)) would be inaccurate for solar elevations below 10 , and therefore for high latitude regions.…”

Section: Applicability Of Clearness Indicesmentioning

confidence: 91%

“…The hot-spot or backscatter effect is a combination of several factors including not only Rayleigh and Mie backscattering on air molecules and aerosols (e.g., Beyer et al, 1996), but also the absence of shadows when the observation and illumination direction, are the same (Pinty, 1991). In Fig.…”

Section: Backscatter Effectmentioning

confidence: 99%

“…This formulation, which has been retained by several authors (e.g., Beyer, 1996;Zelenka, 1998) for relating pixel-derived cloud amounts to global irradiance, has the advantage to be adjusted for local/seasonal prevailing turbidity and site's elevation.…”

Section: The Kasten Clear Skymentioning

confidence: 99%

“…Kasten (1984;Hammer, 1997) proposed the following equation to normalize clear sky global radiation. This formulation is used by Beyer (1996):…”

Section: The Modi®ed Clearness Indexmentioning

confidence: 99%

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Derivation of Cloud Index from Geostationary Satellites and Application to the Production of Solar Irradiance and Daylight Illuminance Data

Ineichen

Perez

1999

Theoretical and Applied Climatology

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SummaryWe investigate in the present paper the relationship between satellite count, global irradiance and other solar and illumination resource components, bringing a particular attention to low solar elevation situations (below 20 ) which are very important in northern latitudes. Our investigation is based on data from two geostationary satellites, METEO-SAT and GOES, backed by ground measurements in Switzerland and the northeastern USA.The study of different clear sky normalizations lead to the conclusion that a linear correlation between the global clearness index and the irradiance (like the heliosat method) would be inaccurate for low solar elevations, and therefore for high latitude regions. We developed a model that directly relates an elevation dependent clearness index to the could index. This methodology presents a definite advantage because it can be generalized to address the clearness index of other solar radiation components, besides global irradiance, such as direct irradiance, diffuse illuminance, etc.The correlations described in this paper were developed on the data from Geneva (in the frame of the EC program`S atellight'') and evaluated on two other independent data sets (Albany, USA and Lausanne, Switzerland). Their precisions, on a hourly basis, are respectively 30%, 40% and 60% for the global, diffuse and beam components) (90, 55 and 95 W/m 2 ). The use of independent data for the derivation and the validation of the models shows that those can be used in a wide range of locations, even if the applicability has to be assessed for very different climates.

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Section: Applicability Of Clearness Indicesmentioning

confidence: 91%

Section: Backscatter Effectmentioning

confidence: 99%

Section: The Kasten Clear Skymentioning

confidence: 99%

“…Kasten (1984;Hammer, 1997) proposed the following equation to normalize clear sky global radiation. This formulation is used by Beyer (1996):…”

Section: The Modi®ed Clearness Indexmentioning

confidence: 99%

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Derivation of Cloud Index from Geostationary Satellites and Application to the Production of Solar Irradiance and Daylight Illuminance Data

Ineichen

Perez

1999

Theoretical and Applied Climatology

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“…Similar downscaling procedures are used for wind power prediction systems [10]. In the solar power sector, images taken by geostationary satellites may be used to estimate solar irradiance fluxes at the earth's surface [11]. The Heliosat method is based on the empirical correlation between a satellite-derived cloud index and the irradiance at the ground.…”

Section: Meteorological Inputmentioning

confidence: 99%

Wind and Photovoltaic Large-Scale Regional Models for Hourly Production Evaluation

Marinelli

Maule

Hahmann

et al. 2015

IEEE Trans. Sustain. Energy

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Abstract-This work presents two large-scale regional models used for the evaluation of normalized power output from wind turbines and photovoltaic power plants on a European regional scale. The models give an estimate of renewable production on a regional scale with 1 h resolution, starting from a mesoscale meteorological data input and taking in account the characteristics of different plants technologies and spatial distribution. An evaluation of the hourly forecasted energy production on a regional scale would be very valuable for the transmission system operators when making the long-term planning of the transmission system, especially regarding the cross-border power flows. The tuning of these regional models is done using historical meteorological data acquired on a per-country basis and using publicly available data of installed capacity.Index Terms-Large-scale integration, modeling, photovoltaic (PV) power systems, renewable energy sources, wind energy.

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Solar absorption over Europe from collocated surface and satellite observations

Hakuba

Folini

Schaepman‐Strub

et al. 2014

J. Geophys. Res. Atmos.

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Solar radiation is the primary source of energy for the Earth's climate system. Although the incoming and outgoing solar fluxes at the top of atmosphere can be quantified with high accuracy, large uncertainties still exist in the partitioning of solar absorption between surface and atmosphere. To compute best estimates of absorbed solar radiation at the surface and within the atmosphere representative for Europe during 2000-2010, we combine temporally homogeneous and spatially representative ground-based observations of surface downwelling solar radiation with collocated satellite-retrieved surface albedo and top-of-atmosphere net irradiance. We find best estimates of Europe land annual mean surface and atmospheric absorption of 117.3 ± 6 W m −2 (41.6 ± 2% of top-of-atmosphere incident irradiance) and 65.0 ± 3 W m −2 (23.0 ± 1%). The fractional atmospheric absorption of 23% represents a robust estimate largely unaffected by variations in latitude and season, thus, making it a potentially useful quantity for first-order validation of regional climate models. Uncertainties of the individual absorption estimates arise mostly from the measurements themselves. In this context, the surface albedo and the ground-based solar radiation data are the most critical variables. Other sources of uncertainty, like the multiplicative combination of spatially averaged surface solar radiation and surface albedo estimates, and the spatial representativeness of the point observations, are either negligibly small or can be corrected for.

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Modifications of the Heliosat procedure for irradiance estimates from satellite images

Cited by 206 publications

References 12 publications

Derivation of Cloud Index from Geostationary Satellites and Application to the Production of Solar Irradiance and Daylight Illuminance Data

Derivation of Cloud Index from Geostationary Satellites and Application to the Production of Solar Irradiance and Daylight Illuminance Data

Wind and Photovoltaic Large-Scale Regional Models for Hourly Production Evaluation

Solar absorption over Europe from collocated surface and satellite observations

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