Solar Radiation Modeling from Satellite Imagery

Polo, Jesús; Perez, Richard

doi:10.1007/978-3-319-97484-2_6

Cited by 9 publications

(2 citation statements)

References 58 publications

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“…In Table 3 some of the existing wind and solar atlases are listed, along with some of their main features: In the case of the solar resource, monthly maps have traditionally been developed from ground radiometric stations; these isoline maps allow the regionalization of the solar resource only in those areas with an adequate density of stations. Currently, as in the case of the wind resource, the modeling of the solar potential from satellite images [89][90][91][92][93] together with the reanalysis data is the most common way to analyze regional potentials.…”

Section: Existing Atlasesmentioning

confidence: 99%

Review of Data and Data Sources for the Assessment of the Potential of Utility-Scale Hybrid Wind–Solar PV Power Plants Deployment, under a Microgrid Scope

et al. 2021

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Utility-scale hybrid wind–solar PV power plants (which might include some storage as well) are an attractive option for the transition of conventional grids to incorporate high renewable energy (RE) shares. Along with lower generation costs, they offer increased dispatch capabilities and flexible operation. However, when assessing their potential, they present higher needs in terms of input data, as they are forced to consider both spatial and temporal variations to evaluate their techno-economic viability, as well as other common inputs such as economic, social or environmental data. The availability of the different data influences the type of analysis to be implemented. The microgrid approach of segmenting the information into layers will be adopted for the classification of data. Three different levels of analysis are sought: long-term energy scenarios, geo-spatial planning, and production cost estimation. The analysis of necessary data for each planning stage, and the available data sources for the assessment of utility-scale hybrid power plants, under this microgrid approach, is the main focus of this review.

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Section: Existing Atlasesmentioning

confidence: 99%

Review of Data and Data Sources for the Assessment of the Potential of Utility-Scale Hybrid Wind–Solar PV Power Plants Deployment, under a Microgrid Scope

et al. 2021

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“…Thus, according to the kind of satellite, models using polar orbiting satellite imagery and models for geostationary satellites can be found, each with different applicability. On the other hand, depending on the approaches and assumptions used in the algorithms the classification divides the models into physical models and semi-empirical (or cloud index based) models [6]. There has been enormous growth in the amount of work, authors, research, developments, and improvements in satellite-derived solar radiation through the last 30 years and this growth is still ongoing.…”

Section: Overview Of the Issue: Solar Radiation Modeling And Remote Smentioning

confidence: 99%

Editorial for the Special Issue “Solar Radiation, Modeling, and Remote Sensing”

Kaskaoutis

Polo

2019

Remote Sensing

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Surface-solar radiation is of vital importance for life on Earth, radiation–energy balance, photosynthesis, and photochemical reactions, meteorological and climatic conditions, and the water cycle. Solar radiation measurements are growing in quality and density but they are still scarce enough to properly explain the spatial and temporal variability. As a consequence, great efforts are still being devoted to improving modeling and retrievals of solar radiation data. This Special Issue reviews techniques for solar radiation modeling and remote sensing using satellite and advanced statistical techniques for solar radiation. Satellite remote sensing of solar radiation provides better spatial coverage, and various methods have been presented on this issue covering several aspects: updated models for solar radiation modeling under clear sky conditions, new approaches for retrieving solar radiation from satellite imagery and validation against ground data, forecasting solar radiation, and modeling photosynthetically active radiation.

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A new geographical classification for vineyards tested in the South Tyrol wine region, northern Italy, on Pinot Noir and Sauvignon Blanc wines

Ferretti¹

2020

Ecological Indicators

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Solar Radiation Modeling from Satellite Imagery

Cited by 9 publications

References 58 publications

Review of Data and Data Sources for the Assessment of the Potential of Utility-Scale Hybrid Wind–Solar PV Power Plants Deployment, under a Microgrid Scope

Review of Data and Data Sources for the Assessment of the Potential of Utility-Scale Hybrid Wind–Solar PV Power Plants Deployment, under a Microgrid Scope

Editorial for the Special Issue “Solar Radiation, Modeling, and Remote Sensing”

A new geographical classification for vineyards tested in the South Tyrol wine region, northern Italy, on Pinot Noir and Sauvignon Blanc wines

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