Solar Radiation Estimation on Building Roofs and Web-Based Solar Cadastre

Agugiaro, G.; Nex, Francesco; Remondino, Fabio; Filippi, R. de; Droghetti, S.; Furlanello, Cesare

doi:10.5194/isprsannals-i-2-177-2012

Cited by 49 publications

(31 citation statements)

References 13 publications

(7 reference statements)

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“…Typical approaches and commercial solutions rely on building footprints in order to easily identify the roofs from the available DSM. In this work, to overcome the misalignment and distortion issues of existing vector datasets (Agugiaro et al, 2012), an automated method was develop in order to extract and separate footprints of adjacent buildings . The method processes image-based point clouds in order to extract geometric primitives useful for a more complete and detailed reconstruction of roof buildings as well as footprint generation.…”

Section: Data Acquisition and Geo-information Extractionmentioning

confidence: 99%

3D Solarweb: A solar cadaster in the Italian Alpine landscape

Nex

Remondino

Agugiaro

et al. 2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The paper presents the research carried out in the on-going 3DSolarWeb project to test and implement a complete pipeline for the generation of a solar cadastre of building roofs located in alpine areas. The project aims at providing reliable results in a costeffective way, using (low resolution) available data and new aerial imagery acquisitions as input. The environmental context is digitally represented using already existing low resolution LiDAR data (1-2 m resolution), while the urban area is modelled using high resolution aerial images (10-20 cm GSD) and photogrammetric DSM. Reliable models and algorithms for the estimation of the incoming sun radiance are then adopted and a WebGIS is set up for the interactive calculation of the photovoltaic (PV) potential in a raster-based form. The paper summarizes the entire pipeline and the results (Figure 1) achieved on the test areas to show the potentialities of the method and the web-based service. a) b) c) Figure 1. Results of the photogrammetric DSM generation from aerial images (a), true orthophoto (b) and solar potential energy estimation visualized with the raster-based webGIS tool created within the 3DSolarWeb project (c).

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Section: Data Acquisition and Geo-information Extractionmentioning

confidence: 99%

3D Solarweb: A solar cadaster in the Italian Alpine landscape

Nex

Remondino

Agugiaro

et al. 2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

Self Cite

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“…These studies have been at the scale of a city [20,21], over parts of a country [22] or at continental scale [3,23]. In some cases, only the variation in solar irradiation is taken into account while other authors include some of the effects listed above.…”

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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“…Several techniques have been applied so far for the calculation of the solar incidence on roofs (Agugiaro et al, 2012;Agugiaro et al, 2011;Hofierka and Suri, 2002;Nguyen and Pearce, 2010) trying to find the most suitable for the installation of solar panels with optimum performance. These techniques generally use simplified models and approximations of the positions and orientations of the roofs, which could imply errors in the calculation of the solar incidence on the surfaces of the roofs causing large variations in their productivity.…”

Section: Introductionmentioning

confidence: 99%

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

López

Lagüela

Picón

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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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 harbour 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 surfaces, slopes, orientations and the existence of obstacles. This way, large areas may be efficiently analysed obtaining as final result the optimal locations for the placement of solar panels as well as the required geometry of the supports for the installation of the panels in those roofs where geometry is not optimal.

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Solar Radiation Estimation on Building Roofs and Web-Based Solar Cadastre

Cited by 49 publications

References 13 publications

3D Solarweb: A solar cadaster in the Italian Alpine landscape

3D Solarweb: A solar cadaster in the Italian Alpine landscape

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

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

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