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Analysis of energy consumption patterns in multi-family housing in a moderate cold climate

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  • Filippín, C.
  • Flores Larsen, S.

Abstract

This paper analyzes the energy consumption during the period 2001-2006 of 192 flats distributed in three-storey buildings, in order to understand how current policies related to energy use could be improved for increased residential energy efficiency in Argentina. The buildings (1, 2 and 3 bedrooms) are located in La Pampa, central Argentina, in a moderate cold climate. The dimensional and energy-consumption variables are studied (area, envelope's area, FAEP=envelope's area/floor area; envelope's thermal resistance R, volumetric heat loss G and auxiliary heating Qaux). The natural gas consumption is analyzed at annual and seasonal levels. Consumption variability among buildings, storeys and flats is calculated. The quantitative analysis is coupled to a qualitative description through direct observation of the buildings. The results show: (a) a high incidence of natural gas consumption in the total annual energy consumption (natural gas+electricity), (b) seasonality of natural gas consumption, with a maximum value in the cold period July-August (variability=80%), (c) little variability among buildings of the annual natural gas consumption (4.17%), (d) the lowest average energy consumption at the first floor, (e) high variability among flats on each storey, (f) winter consumption of a multi-family dwelling lower than a single-family dwelling of similar area and (g) little seasonal variability of the electricity consumption.

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  • 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.
    • Handle: RePEc:eee:enepol:v:37:y:2009:i:9:p:3489-3501
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Alejandro D. González, 2009. "Energy Subsidies in Argentina Lead to Inequalities and Low Thermal Efficiency," Energies, MDPI, vol. 2(3), pages 1-20, September.
    8. 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.

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