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Circular Statistics Applied to the Study of the Solar Radiation Potential of Rooftops in a Medium-Sized City

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  • María-Eugenia Polo

    (Graphic Expression Department, University of Extremadura, 06800 Mérida, Spain)

  • Mar Pozo

    (Graphic Expression Department, University of Extremadura, 10003 Cáceres, Spain)

  • Elia Quirós

    (Graphic Expression Department, University of Extremadura, 10003 Cáceres, Spain)

Abstract

Solar energy constitutes one of the most effective alternative energy sources for combating climate change. However, the solar potential in a city can vary depending on the urban morphology. The purpose of this paper is to perform a directional statistical analysis of the distribution of the monthly solar potential of rooftops in the city of Cáceres, Spain, in relation to the orientations and slopes of the rooftops. Two residential areas, one in the city center and one on the outskirts of the city, and an industrial zone, all of which exhibit different urban morphologies, have been evaluated. Statistics have been assessed in consideration of the orientation and slope values of the rooftops as circular data, and the radiation values as linear data. The three dissimilar urban morphologies result in different solar potential values, and the monthly disaggregation of the data enables the ability to detect the differences existing in the solar potential between each zone, during each month. The proposed analysis could also be extrapolated to urban planning for the design of more sustainable cities to face the challenges associated with climate change.

Suggested Citation

  • María-Eugenia Polo & Mar Pozo & Elia Quirós, 2018. "Circular Statistics Applied to the Study of the Solar Radiation Potential of Rooftops in a Medium-Sized City," Energies, MDPI, vol. 11(10), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2813-:d:176666
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    1. Brito, M.C. & Freitas, S. & Guimarães, S. & Catita, C. & Redweik, P., 2017. "The importance of facades for the solar PV potential of a Mediterranean city using LiDAR data," Renewable Energy, Elsevier, vol. 111(C), pages 85-94.
    2. Lingfors, D. & Bright, J.M. & Engerer, N.A. & Ahlberg, J. & Killinger, S. & Widén, J., 2017. "Comparing the capability of low- and high-resolution LiDAR data with application to solar resource assessment, roof type classification and shading analysis," Applied Energy, Elsevier, vol. 205(C), pages 1216-1230.
    3. Lacal Arantegui, Roberto & Jäger-Waldau, Arnulf, 2018. "Photovoltaics and wind status in the European Union after the Paris Agreement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2460-2471.
    4. Bayrakçı, Hilmi Cenk & Demircan, Cihan & Keçebaş, Ali, 2018. "The development of empirical models for estimating global solar radiation on horizontal surface: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2771-2782.
    5. Hartner, Michael & Ortner, André & Hiesl, Albert & Haas, Reinhard, 2015. "East to west – The optimal tilt angle and orientation of photovoltaic panels from an electricity system perspective," Applied Energy, Elsevier, vol. 160(C), pages 94-107.
    6. Martínez-Rubio, A. & Sanz-Adan, F. & Santamaría-Peña, J. & Martínez, Araceli, 2016. "Evaluating solar irradiance over facades in high building cities, based on LiDAR technology," Applied Energy, Elsevier, vol. 183(C), pages 133-147.
    7. Sarralde, Juan José & Quinn, David James & Wiesmann, Daniel & Steemers, Koen, 2015. "Solar energy and urban morphology: Scenarios for increasing the renewable energy potential of neighbourhoods in London," Renewable Energy, Elsevier, vol. 73(C), pages 10-17.
    8. Jonathan Corcoran & Prem Chhetri & Robert Stimson, 2009. "Using circular statistics to explore the geography of the journey to work," Papers in Regional Science, Wiley Blackwell, vol. 88(1), pages 119-132, March.
    9. La Gennusa, Maria & Lascari, Giovanni & Rizzo, Gianfranco & Scaccianoce, Gianluca & Sorrentino, Giancarlo, 2011. "A model for predicting the potential diffusion of solar energy systems in complex urban environments," Energy Policy, Elsevier, vol. 39(9), pages 5335-5343, September.
    10. Mohajeri, Nahid & Upadhyay, Govinda & Gudmundsson, Agust & Assouline, Dan & Kämpf, Jérôme & Scartezzini, Jean-Louis, 2016. "Effects of urban compactness on solar energy potential," Renewable Energy, Elsevier, vol. 93(C), pages 469-482.
    11. Hoggett, Richard, 2014. "Technology scale and supply chains in a secure, affordable and low carbon energy transition," Applied Energy, Elsevier, vol. 123(C), pages 296-306.
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