Solar energy assessment using remote sensing technologies

Hammer, Annette; Heinemann, Detlev; Hoyer, Carsten; Kuhlemann, R.; Lorenz, Elke; Müller, Richard; Beyer, Hans Georg

doi:10.1016/s0034-4257(03)00083-x

Cited by 349 publications

(199 citation statements)

References 9 publications

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“…The SDI includes two direct radiation products, the Surface Incoming Direct radiation (SID) and the Direct Normalized Irradiance (DNI), which is the basis for the retrieval of SDU. To derive SARAH-2 surface radiation parameters, the Heliosat algorithm is used [20]. SARAH-2 data are based on the MVIRI (Meteosat Visible and InfraRed Imager) and SEVIRI (Spinning Enhanced Visible and Infrared Imager) instruments onboard EUMETSAT's Meteosat satellites of the first and second generation.…”

Section: Sarah-2mentioning

confidence: 99%

A Satellite-Based Sunshine Duration Climate Data Record for Europe and Africa

et al. 2017

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Besides 2 m temperature and precipitation, sunshine duration is one of the most important and commonly used parameter in climatology, with measured time series of partly more than 100 years in length. EUMETSAT's Satellite Application Facility on Climate Monitoring (CM SAF) presents a climate data record for daily and monthly sunshine duration (SDU) for Europe and Africa. Basis for the advanced retrieval is a highly resolved satellite product of the direct solar radiation from measurements by Meteosat satellites 2 to 10. The data record covers the time period 1983 to 2015 with a spatial resolution of 0.05 • × 0.05 • . The comparison against ground-based data shows high agreement but also some regional differences. Sunshine duration is overestimated by the satellite-based data in many regions, compared to surface data. In West and Central Africa, low clouds seem to be the reason for a stronger overestimation of sunshine duration in this region (up to 20% for monthly sums). For most stations, the overestimation is low, with a bias below 7.5 h for monthly sums and below 0.4 h for daily sums. A high correlation of 0.91 for daily SDU and 0.96 for monthly SDU also proved the high agreement with station data. As SDU is based on a stable and homogeneous climate data record of more than 30 years length, it is highly suitable for climate applications, such as trend estimates.

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Section: Sarah-2mentioning

confidence: 99%

A Satellite-Based Sunshine Duration Climate Data Record for Europe and Africa

et al. 2017

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“…The total energy consumed by buildings in Europe reaches 20% [35]. The estimation of solar radiation incident on the Earth's surface is useful for urban planning (e.g., for construction of energy-efficient buildings).…”

Section: Radiation Fieldmentioning

confidence: 99%

A Conceptual List of Indicators for Urban Planning and Management Based on Earth Observation

Chrysoulakis

Feigenwinter

Triantakonstantis

et al. 2014

IJGI

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Sustainable development is a key component in urban studies. Earth Observation (EO) can play a valuable role in sustainable urban development and planning, since it represents a powerful data source with the potential to provide a number of relevant urban sustainability indicators. To this end, in this paper we propose a conceptual list of EO-based indicators capable of supporting urban planning and management. Three cities with different typologies, namely Basel, Switzerland; Tel Aviv, Israel; and Tyumen, Russia were selected as case studies. The EO-based indicators are defined to effectively record the physicalproperties of the urban environment in a diverse range of environmental sectors such as energy efficiency, air pollution and public health, water, transportation and vulnerability to hazards. The results assess the potential of EO to support the development of a set of urban environmental indicators towards sustainable urban planning and management.

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“…Improvements have been made in the last years regarding spatial and temporal resolution of these data. While the spatial resolution for the Meteosat satellite is 2.5 km (Hammer et al, 2003;Suri, 2006) and the temporal resolution is 30 minutes, the new generation of satellites (e.g. MSG) can provide data at a temporal resolution of 15 minutes and a spatial resolution of 1 km (Müller et al, 2002;Suri et al, 2008).…”

Section: Approaches For Estimating Solar Energy Potentialmentioning

confidence: 99%

Methods and tools to evaluate the availability of renewable energy sources

Angelis-Dimakis

Biberacher

Bravo

et al. 2011

Renewable and Sustainable Energy Reviews

350

132

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The recent statements of both the European Union and the US Presidency pushed in the direction of using renewable forms of energy, in order to act against climate changes induced by the growing concentration of carbon dioxide in the atmosphere. In this paper, a survey regarding methods and tools presently available to determine potential and exploitable energy in the most important renewable sectors (i.e., solar, wind, wave, biomass and geothermal energy) is presented. Moreover, challenges for each renewable resource are highlighted as well as the available tools that can help in evaluating the use of a mix of different sources.

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Solar energy assessment using remote sensing technologies

Cited by 349 publications

References 9 publications

A Satellite-Based Sunshine Duration Climate Data Record for Europe and Africa

A Satellite-Based Sunshine Duration Climate Data Record for Europe and Africa

A Conceptual List of Indicators for Urban Planning and Management Based on Earth Observation

Methods and tools to evaluate the availability of renewable energy sources

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