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Modelling the impact of urban form on household energy demand and related CO2 emissions in the Greater Dublin Region

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  • Liu, Xiaochen
  • Sweeney, John

Abstract

This study aims to investigate the relationship between household space heating energy use and urban form (land use characteristics) for the Greater Dublin Region. The geographical distributions of household energy use are evaluated at the Enumeration Districts (ED) level based on the building thermal balance model. Moreover, it estimates the impact of possible factors on the household space heating consumption. Results illustrate that the distribution profile of dwellings is a significant factor related to overall heating energy demand and individual dwelling energy consumption for space heating. Residents living in compact dwellings with small floor areas consume less energy for space heating than residents living in dwellings with big floor areas. Moreover, domestic heating energy demand per household was also estimated for two extreme urban development scenarios: the compact city scenario and the dispersed scenario. The results illustrate that the compact city scenario is likely to decrease the domestic heating energy consumption per household by 16.2% compared with the dispersed city scenario. Correspondingly, the energy-related CO2 emissions could be significantly decreased by compact city scenario compared with the dispersed city scenario.

Suggested Citation

  • Liu, Xiaochen & Sweeney, John, 2012. "Modelling the impact of urban form on household energy demand and related CO2 emissions in the Greater Dublin Region," Energy Policy, Elsevier, vol. 46(C), pages 359-369.
  • Handle: RePEc:eee:enepol:v:46:y:2012:i:c:p:359-369
    DOI: 10.1016/j.enpol.2012.03.070
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    References listed on IDEAS

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    1. Sumita Ghosh & Robert Vale & Brenda Vale, 2006. "Domestic energy sustainability of different urban residential patterns: a New Zealand approach," International Journal of Sustainable Development, Inderscience Enterprises Ltd, vol. 9(1), pages 16-37.
    2. Erling Holden & Ingrid T. Norland, 2005. "Three Challenges for the Compact City as a Sustainable Urban Form: Household Consumption of Energy and Transport in Eight Residential Areas in the Greater Oslo Region," Urban Studies, Urban Studies Journal Limited, vol. 42(12), pages 2145-2166, November.
    3. Reid Ewing & Fang Rong, 2008. "The impact of urban form on U.S. residential energy use," Housing Policy Debate, Taylor & Francis Journals, vol. 19(1), pages 1-30, January.
    4. Vine, Edward L. & Misuriello, Harry & Hopkins, Mary Ellen, 1994. "A research agenda for demand-side management impact measurement," Energy, Elsevier, vol. 19(11), pages 1103-1111.
    5. John Randolph, 2008. "Comment on Reid Ewing and Fang Rong's “The impact of urban form on U.S. residential energy use”," Housing Policy Debate, Taylor & Francis Journals, vol. 19(1), pages 45-52, January.
    6. Haas, Reinhard & Biermayr, Peter, 2000. "The rebound effect for space heating Empirical evidence from Austria," Energy Policy, Elsevier, vol. 28(6-7), pages 403-410, June.
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    Keywords

    Household energy demand; CO2 emissions; Urban form;
    All these keywords.

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