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Decomposing final energy use for heating in the residential sector in Austria

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  • Holzmann, Angela
  • Adensam, Heidelinde
  • Kratena, Kurt
  • Schmid, Erwin

Abstract

In Austria a considerable number of measures have been implemented to reduce final energy use for residential heating since the 1990s. The aim of this analysis is to investigate, why – despite these implemented measures – final energy use for heating has not decreased in the expected way. The impact of eight factors on final energy use for heating is quantified by applying the Logarithmic Mean Divisia Index (LMDI I) method. The dataset covers the sector of private households in Austria for the period from 1993 to 2009. The main findings of the analysis are: (1) while technical improvements reduce final energy use for heating significantly, rising comfort needs nearly outweigh these savings. (2) Consumer behaviour reduces calculated final energy use considerably. (3) The extent of this reduction is declining significantly in the period observed. (4) The growing share of single-family houses has increased energy demand for heating in the observed period, though a reversal of this trend is detected from 2007 onwards. (5) The impact of growing floor space per person is the major effect revealed by the analysis. (6) Weather conditions have a major impact on annual fluctuations of energy consumption.

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  • Holzmann, Angela & Adensam, Heidelinde & Kratena, Kurt & Schmid, Erwin, 2013. "Decomposing final energy use for heating in the residential sector in Austria," Energy Policy, Elsevier, vol. 62(C), pages 607-616.
    • Handle: RePEc:eee:enepol:v:62:y:2013:i:c:p:607-616
    DOI: 10.1016/j.enpol.2013.07.027
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    References listed on IDEAS

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    2. Anna Życzyńska & Zbigniew Suchorab & Dariusz Majerek & Violeta Motuzienė, 2022. "Statistical Analysis of the Variability of Energy Efficiency Indicators for a Multi-Family Residential Building," Energies, MDPI, vol. 15(14), pages 1-14, July.
    3. Vaninsky, Alexander, 2014. "Factorial decomposition of CO2 emissions: A generalized Divisia index approach," Energy Economics, Elsevier, vol. 45(C), pages 389-400.
    4. Jianchang Lu & Weiguo Fan & Ming Meng, 2015. "Empirical Research on China’s Carbon Productivity Decomposition Model Based on Multi-Dimensional Factors," Energies, MDPI, vol. 8(4), pages 1-25, April.

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