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Use of ecological footprinting to explore alternative domestic energy and electricity policy scenarios in an Irish city-region

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  • Browne, David
  • O'Regan, Bernadette
  • Moles, Richard

Abstract

The purpose of this paper is to measure the ecological footprint (EF) of energy and electricity consumption by the residents of an Irish city-region, in terms of the land area required to sequester carbon emissions from energy and electricity consumption and to support energy infrastructure and development. The EF was also used to analyse the impact of potential scenarios and policies and results were compared with the business as usual (BAU) projection in order to identify the optimal policy measure. It was found that the total EF for domestic energy and electricity consumption by Limerick residents increased by 7% from 0.125 global hectares (gha) per capita in 1996 to 0.134Â gha per capita in 2002. The EF was then used to assess different policy measures or scenarios. It was concluded that Scenario 2, which proposes reducing energy and electricity consumption, was the most preferable option, and Scenario 4, which proposes increasing the contribution of short rotation coppice (SRC), the least preferable option. This suggests that absolute reduction and demand management should be prioritised over renewables substitution in a policy hierarchy. Of the renewable energy scenarios, Scenario 4 has the highest EF as a result of land appropriation for biomass production.

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  • Browne, David & O'Regan, Bernadette & Moles, Richard, 2009. "Use of ecological footprinting to explore alternative domestic energy and electricity policy scenarios in an Irish city-region," Energy Policy, Elsevier, vol. 37(6), pages 2205-2213, June.
    • Handle: RePEc:eee:enepol:v:37:y:2009:i:6:p:2205-2213
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    References listed on IDEAS

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    1. Alipour, M. & Hafezi, R. & Amer, M. & Akhavan, A.N., 2017. "A new hybrid fuzzy cognitive map-based scenario planning approach for Iran's oil production pathways in the post–sanction period," Energy, Elsevier, vol. 135(C), pages 851-864.
    2. Browne, David & O'Regan, Bernadette & Moles, Richard, 2010. "Use of multi-criteria decision analysis to explore alternative domestic energy and electricity policy scenarios in an Irish city-region," Energy, Elsevier, vol. 35(2), pages 518-528.
    3. Xun Zhang & Yuehui Ma & Bin Ye & Zhang-Ming Chen & Ling Xiong, 2016. "Feasibility Analyses of Developing Low Carbon City with Hybrid Energy Systems in China: The Case of Shenzhen," Sustainability, MDPI, vol. 8(5), pages 1-16, May.
    4. Dalia Štreimikienė & Vidas Lekavičius & Gintare Stankūnienė & Aušra Pažėraitė, 2022. "Renewable Energy Acceptance by Households: Evidence from Lithuania," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
    5. Hafezi, Reza & Akhavan, AmirNaser & Pakseresht, Saeed & Wood, David A., 2019. "A Layered Uncertainties Scenario Synthesizing (LUSS) model applied to evaluate multiple potential long-run outcomes for Iran's natural gas exports," Energy, Elsevier, vol. 169(C), pages 646-659.
    6. Browne, David & O'Regan, Bernadette & Moles, Richard, 2012. "Comparison of energy flow accounting, energy flow metabolism ratio analysis and ecological footprinting as tools for measuring urban sustainability: A case-study of an Irish city-region," Ecological Economics, Elsevier, vol. 83(C), pages 97-107.
    7. STANKUNIENE Gintare, 2021. "Energy Saving in Households: A Systematic Literature Review," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 01, March.

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