2009
DOI: 10.1016/j.renene.2009.02.021
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Assessment of photovoltaic potential in urban areas using open-source solar radiation tools

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Cited by 301 publications
(146 citation statements)
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“…Recent work has focused on extending the task for vertical façades, and taking into account the material of the receiving surface [106,107] (Figure 3). This application may benefit from attributes such as the address and type of building for additional analyses [108], and it is being supported by an increasing number of software implementations [109,110]. Furthermore, some researchers use dense point clouds rather than semantic 3D city models (e.g., [111][112][113][114]).…”
Section: Estimation Of the Solar Irradiationmentioning
confidence: 99%
“…Recent work has focused on extending the task for vertical façades, and taking into account the material of the receiving surface [106,107] (Figure 3). This application may benefit from attributes such as the address and type of building for additional analyses [108], and it is being supported by an increasing number of software implementations [109,110]. Furthermore, some researchers use dense point clouds rather than semantic 3D city models (e.g., [111][112][113][114]).…”
Section: Estimation Of the Solar Irradiationmentioning
confidence: 99%
“…All steps from data acquisition and preprocessing to post-simulation are presented, whereby candidate lands for incoming solar farms projects are identified. Hofierka and Kanuk (2009) discuss a methodology for the assessment of photovoltaic potential in urban areas using opensource solar radiation tools and a 3D city model implemented in a GIS. The test area extends over ca.…”
Section: Introductionmentioning
confidence: 99%
“…Reanalysis data sets provide global coverage and there are several freely available data sources (see, e.g., [22]), but these have relatively low spatial and temporal resolutions compared to data derived from satellite images. Moreover, solar radiation models integrated in GIS tools have been widely used to estimate solar radiation and PV technical potential in areas with complicated topography and in urban environments [23][24][25][26]. These rely, however, on other atmospheric variables that must be retrieved from in situ measurements, satellite images and/or reanalysis data.…”
Section: State Of the Art Of Photovoltaic Potential Evaluationmentioning
confidence: 99%