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Profiling Space Heating Behavior in Chilean Social Housing: Towards Personalization of Energy Efficiency Measures

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  • Victor Bunster

    (EDBI Research Group, Faculty of Architecture, Building and Planning, The University of Melbourne, Parkville VIC 3010, Australia)

  • Masa Noguchi

    (EDBI Research Group, Faculty of Architecture, Building and Planning, The University of Melbourne, Parkville VIC 3010, Australia)

Abstract

Global increases in the demand for energy are imposing strong pressures over the environment while compromising the capacity of emerging economies to achieve sustainable development. In this context, implementation of effective strategies to reduce consumption in residential buildings has become a priority concern for policy makers as minor changes at the household scale can result in major energy savings. This study aims to contribute to ongoing research on energy consumer profiling by exploring the forecasting capabilities of discrete socio-economic factors that are accessible through social housing allocation systems. Accordingly, survey data gathered by the Chilean Ministry of Social Development was used identify key characteristics that may predict firewood usage for space heating purposes among potential beneficiaries of the Chilean social housing program. The analyzed data evidences strong correlations between general household characteristics and space heating behavior in certain climatic zones, suggesting that personalized delivery of energy efficiency measures can potentially increase the effectiveness of initiatives aimed towards the reduction of current patterns of consumption.

Suggested Citation

  • Victor Bunster & Masa Noguchi, 2015. "Profiling Space Heating Behavior in Chilean Social Housing: Towards Personalization of Energy Efficiency Measures," Sustainability, MDPI, vol. 7(6), pages 1-24, June.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:6:p:7973-7996:d:51431
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    References listed on IDEAS

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    1. Elisha R. Frederiks & Karen Stenner & Elizabeth V. Hobman, 2015. "The Socio-Demographic and Psychological Predictors of Residential Energy Consumption: A Comprehensive Review," Energies, MDPI, vol. 8(1), pages 1-37, January.
    2. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    3. Ian Ayres & Sophie Raseman & Alice Shih, 2009. "Evidence from Two Large Field Experiments that Peer Comparison Feedback Can Reduce Residential Energy Usage," NBER Working Papers 15386, National Bureau of Economic Research, Inc.
    4. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
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    Cited by:

    1. Victor Bunster & Waldo Bustamante, 2019. "Structuring a Residential Satisfaction Model for Predictive Personalization in Mass Social Housing," Sustainability, MDPI, vol. 11(14), pages 1-30, July.
    2. Héctor Hernández & Felipe Ossio & Michael Silva, 2023. "Assessment of Sustainability and Efficiency Metrics in Modern Methods of Construction: A Case Study Using a Life Cycle Assessment Approach," Sustainability, MDPI, vol. 15(7), pages 1-25, April.

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