IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v33y2008i8p1733-1748.html
   My bibliography  Save this article

Assessing the solar potential of low-density urban environments in Andean cities with desert climates: The case of the city of Mendoza, in Argentina

Author

Listed:
  • Arboit, M.
  • Diblasi, A.
  • Fernández Llano, J.C.
  • de Rosa, C.

Abstract

Energy use in the built environment is globally recognized as a key issue for sustainable urban development. In tempered-cold arid regions with a generous solar resource, adequate design and technology can substantially reduce the energy demand for space and water heating in urban buildings. This study assessed the solar potential of low-density urban environments in the city of Mendoza, Argentina. The results of the study will be used to develop technical guidelines for urban and energy planning agencies and professionals involved in the production of habitat. The study included the following successive steps: (i) selection of a representative sample of analysis units (city blocks); (ii) selection of a series of urban and building variables; (iii) definition of indicators accounting for solar masking, building's potential use of the solar radiation on the whole urban area, and availability of adequate collecting areas to satisfy high percentages of the energy demand in low-density urban environments; and (iv) insolation of potential collectors simulated by a graphic-computational model developed in the R+D unit. Only the results for solar space heating are presented in this paper. The results, direct and statistical, indicate that it is technically feasible to meet the target solar fractions. At the same time, by means of the solar recycling of existing building stocks, it is possible to considerably reduce the environmental impacts due to the extraction of materials from, and the disposal of solid wastes into, the ecosystem.

Suggested Citation

  • Arboit, M. & Diblasi, A. & Fernández Llano, J.C. & de Rosa, C., 2008. "Assessing the solar potential of low-density urban environments in Andean cities with desert climates: The case of the city of Mendoza, in Argentina," Renewable Energy, Elsevier, vol. 33(8), pages 1733-1748.
  • Handle: RePEc:eee:renene:v:33:y:2008:i:8:p:1733-1748
    DOI: 10.1016/j.renene.2007.11.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148107003680
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2007.11.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Theodoridou, Ifigeneia & Karteris, Marinos & Mallinis, Georgios & Papadopoulos, Agis M. & Hegger, Manfred, 2012. "Assessment of retrofitting measures and solar systems' potential in urban areas using Geographical Information Systems: Application to a Mediterranean city," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 6239-6261.
    2. Keirstead, James & Jennings, Mark & Sivakumar, Aruna, 2012. "A review of urban energy system models: Approaches, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3847-3866.
    3. Arboit, M. & Mesa, A. & Diblasi, A. & Fernández Llano, J.C. & de Rosa, C., 2010. "Assessing the solar potential of low-density urban environments in Andean cities with desert climates: The case of the city of Mendoza, in Argentina. 2nd. Part," Renewable Energy, Elsevier, vol. 35(7), pages 1551-1558.
    4. Furlan, Claudia & de Oliveira, Amauri Pereira & Soares, Jacyra & Codato, Georgia & Escobedo, João Francisco, 2012. "The role of clouds in improving the regression model for hourly values of diffuse solar radiation," Applied Energy, Elsevier, vol. 92(C), pages 240-254.
    5. Loulas, Nikolaos M. & Karteris, Marinos M. & Pilavachi, Petros A. & Papadopoulos, Agis M., 2012. "Photovoltaics in urban environment: A case study for typical apartment buildings in Greece," Renewable Energy, Elsevier, vol. 48(C), pages 453-463.
    6. Lukač, Niko & Seme, Sebastijan & Žlaus, Danijel & Štumberger, Gorazd & Žalik, Borut, 2014. "Buildings roofs photovoltaic potential assessment based on LiDAR (Light Detection And Ranging) data," Energy, Elsevier, vol. 66(C), pages 598-609.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:33:y:2008:i:8:p:1733-1748. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.