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Applying LIDAR datasets and GIS based model to evaluate solar potential over roofs: a review

1 Department of Geography, Complutense University of Madrid, Spain;
2 Department of Energy, CIEMAT, Av. Complutense, 40, Madrid, Spain;
3 Department of Electrical Engineering, Polithecnical University of Madrid, Spain

Special Issues: Remote sensing and Geoinformation Technology to Explore and Predict Renewable Energy Potential

The precise knowledge of the capacity to produce energy from renewable resources requires an adequate study to determine the spatial dimension of the territory. The aim of this paper is to present diverse procedures for the solar potential analysis in urban environments. Models and tools, based on the implementation of geo-information technologies and airborne remote sensing data, have been developed considering a certain level of complexity, where urban structure is composed of different areas characterized by their morphology and function. Before any analysis, establish the available information and define the three-dimensional modeling of the urban environment are the first actions. In addition, techniques for the treatment of data and assess the parameters needed to define the optimal location of solar systems for energy generation, are taken into account. Besides, there is a description of some web services developed to show the results and finally, the advances which may improve the precision and increase the detail degree in these studies.
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