IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v14y2010i4p1216-1228.html
   My bibliography  Save this article

Energy consumption of bioclimatic buildings in Argentina during the period 2001-2008

Author

Listed:
  • Filippín, C.
  • Larsen, S. Flores
  • Canori, M.

Abstract

The energy performance of two bioclimatic buildings located in Santa Rosa city, a temperate semi-arid agricultural region of central Argentina, is analysed. The bioclimatic design included direct solar gain, thermal inertia, natural ventilation, thermal insulation, external shading, building orientation, and dwelling grouping. Each double-story building is aligned on an East-West axis and it has a compact shape with 350Â m2 of useful floor area (58Â m2/apartment). The solar collection area is around 18% of the apartment's useful area on the ground floor and 14% on the upper floor. This paper describes the energy performance of the buildings during the period 2001-2008. The analysis includes: (a) the energy consumption (natural gas and electricity) during 2001-2007 (natural gas: annually, bimonthly; electricity: monthly); (b) the natural gas consumption and the thermal behaviour during the winters of year 2001 (between July 27 and August 3) and 2008 (between August 8 and 13); (c) the daily natural gas consumption and the thermal behaviour during 2001 and 2008 winters; (d) the comparison between the energy consumption for heating in bioclimatic and conventional buildings. The authors concluded that the results confirm the large potential of solar buildings design to reach significant levels of energy saving. The comparison of solar and conventional buildings in terms of natural gas consumption demonstrates the magnitude of such potential.

Suggested Citation

  • Filippín, C. & Larsen, S. Flores & Canori, M., 2010. "Energy consumption of bioclimatic buildings in Argentina during the period 2001-2008," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(4), pages 1216-1228, May.
    • Handle: RePEc:eee:rensus:v:14:y:2010:i:4:p:1216-1228
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364-0321(09)00289-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    References listed on IDEAS

    as
    1. Filippín, C. & Flores Larsen, S., 2009. "Analysis of energy consumption patterns in multi-family housing in a moderate cold climate," Energy Policy, Elsevier, vol. 37(9), pages 3489-3501, September.
    2. Filippín, C. & Flores Larsen, S. & Lopez Gay, E., 2008. "Energy improvement of a conventional dwelling in Argentina through thermal simulation," Renewable Energy, Elsevier, vol. 33(10), pages 2246-2257.
    3. Ward, Ian C., 2008. "What are the energy and power consumption patterns of different types of built environment?," Energy Policy, Elsevier, vol. 36(12), pages 4622-4629, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alejandro D. González, 2009. "Energy Subsidies in Argentina Lead to Inequalities and Low Thermal Efficiency," Energies, MDPI, vol. 2(3), pages 1-20, September.
    2. Zhaoyang Kong & Xiucheng Dong & Zhongbing Zhou, 2015. "Seasonal Imbalances in Natural Gas Imports in Major Northeast Asian Countries: Variations, Reasons, Outlooks and Countermeasures," Sustainability, MDPI, vol. 7(2), pages 1-22, February.
    3. Evelina Di Corso & Tania Cerquitelli & Daniele Apiletti, 2018. "METATECH: METeorological Data Analysis for Thermal Energy CHaracterization by Means of Self-Learning Transparent Models," Energies, MDPI, vol. 11(6), pages 1-24, May.
    4. Tania Cerquitelli & Giovanni Malnati & Daniele Apiletti, 2019. "Exploiting Scalable Machine-Learning Distributed Frameworks to Forecast Power Consumption of Buildings," Energies, MDPI, vol. 12(15), pages 1-18, July.
    5. De Boeck, L. & Verbeke, S. & Audenaert, A. & De Mesmaeker, L., 2015. "Improving the energy performance of residential buildings: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 960-975.
    6. Zhao, Liang & Zhang, Jili, 2015. "Research on the data transmission optimization for building energy consumption monitoring system based on fuzzy self-adaptation method," Energy, Elsevier, vol. 93(P2), pages 1385-1393.
    7. Filippín, C. & Flores Larsen, S., 2012. "Summer thermal behaviour of compact single family housing in a temperate climate in Argentina," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3439-3455.
    8. Ying Jiang & Linghan Zhang & Junyi Zhang, 2019. "Energy consumption by rural migrant workers and urban residents with a hukou in China: quality-of-life-related factors and built environment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1431-1453, December.
    9. Pan, Wei & Garmston, Helen, 2012. "Building regulations in energy efficiency: Compliance in England and Wales," Energy Policy, Elsevier, vol. 45(C), pages 594-605.
    10. Radmehr, Mehrshad & Willis, Ken & Kenechi, Ugo Elinwa, 2014. "A framework for evaluating WTP for BIPV in residential housing design in developing countries: A case study of North Cyprus," Energy Policy, Elsevier, vol. 70(C), pages 207-216.
    11. Pan, Wei & Garmston, Helen, 2012. "Compliance with building energy regulations for new-build dwellings," Energy, Elsevier, vol. 48(1), pages 11-22.
    12. Filippín, C. & Larsen, S. Flores & Mercado, V., 2011. "Winter energy behaviour in multi-family block buildings in a temperate-cold climate in Argentina," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 203-219, January.
    13. Willis, Ken & Scarpa, Riccardo & Gilroy, Rose & Hamza, Neveen, 2011. "Renewable energy adoption in an ageing population: Heterogeneity in preferences for micro-generation technology adoption," Energy Policy, Elsevier, vol. 39(10), pages 6021-6029, October.

    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:rensus:v:14:y:2010:i:4:p:1216-1228. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.