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International Conference on Computational Science and Its Applications

ICCSA 2016: Computational Science and Its Applications -- ICCSA 2016 pp 443–453Cite as

Urban Solar Energy Potential in Europe

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9788))

Abstract

Among the objectives of the Sustainable Development Goals by United Nations, “Affordable and Clean Energy” aims at ensuring access to affordable, reliable, sustainable and modern energy for all. However, in Europe there is not a precise understanding of the unleashed potential that could be achieved through the exploitation of solar and wind resources. This study presents an application to retrieve spatial explicit estimates of Direct Normal Irradiance (DNI) through the use of data from geo-stationary satellites. The energetic demand of large metropolitan areas in Europe is then retrieved and compared with the potential production of energy for domestic use through solar panels. Results of this comparison are presented based on the assumption that only the 1 % of the built up area could be covered with solar panels, and hence devoted to energy production. Outcomes suggest that even such a little coverage, if spread systematically over urban areas can in most of the cases satisfy urban population domestic needs.

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Author information

Authors and Affiliations

  1. University of Basilicata, 10,Viale Dell’Ateneo Lucano, 85100, Potenza, Italy

    Federico Amato & Beniamino Murgante

  2. University of Rome “La Sapienza”, Via Del Castro Laurenziano 9, 00161, Rome, Italy

    Federico Martellozzo

  3. Italian National Research Council, IMAA, C.da Santa Loja, Tito Scalo, Potenza, 85050, Italy

    Gabriele Nolè

Authors
  1. Federico Amato
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  2. Federico Martellozzo
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  3. Beniamino Murgante
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  4. Gabriele Nolè
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Corresponding author

Correspondence to Federico Amato .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  5. Polytechnic University, Bari, Italy

    Carmelo M. Torre

  6. Monash University, Clayton, Victoria, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  9. Beijing University of Posts and Telecommunications, Beijing, China

    Shangguang Wang

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Amato, F., Martellozzo, F., Murgante, B., Nolè, G. (2016). Urban Solar Energy Potential in Europe. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9788. Springer, Cham. https://doi.org/10.1007/978-3-319-42111-7_34

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  • DOI: https://doi.org/10.1007/978-3-319-42111-7_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42110-0

  • Online ISBN: 978-3-319-42111-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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