Abstract

The utilization of solar energy is one of the best effective methods to combat the climate change. The estimation of solar potential in urban areas can vary depending on the urban morphology. This paper performs a directional statistical analysis of the distribution of the monthly solar potential of rooftops in Cáceres city, related to the orientation of the rooftops in different neighborhoods. The orientation values of the roofs will be treated as a directional data and the radiation values as a linear data. The circular graphics representing the orientation data is a suitable representation of the distribution of the buildings being related with the urban framework.

Highlights

  • The utilization of solar energy is one of the best effective methods to combat the climate change and this is supported by governments and policy makers [1]

  • The directional statistical analysis of the distribution of the monthly solar potential of rooftops in Cáceres city is based on the study of the vector distribution

  • The differences in solar radiation founded in the three different neighbourhoods are in accordance with works like [10], where the organization of the streets, buildings and other urban elements had a high impact on the obtained results

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Summary

Introduction

The utilization of solar energy is one of the best effective methods to combat the climate change and this is supported by governments and policy makers [1]. This issue has developed the need to assess the city’s solar potential of developing countries and cities [2]. Solar potential models of rooftops in urban areas are usually generated by Geographical Information Systems (GIS) since many years ago [3]. To improve the precision in those models, Light Detection And Ranging (LiDAR) data has been included for urban areas. If further evaluation of the radiation is performed, the orientation and the slope of the roofs are crucial issues and they can be calculated from LiDAR data

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