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

  • Received: 14 April 2015 Accepted: 02 August 2015 Published: 13 August 2015
  • 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.

    Citation: Ana M. Martín, Javier Domínguez, Julio Amador. Applying LIDAR datasets and GIS based model to evaluate solar potential over roofs: a review[J]. AIMS Energy, 2015, 3(3): 326-343. doi: 10.3934/energy.2015.3.326

    Related Papers:

  • 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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