Computing life-cycle emissions from transitioning the electricity sector using a discrete numerical approach

Nicholas E. Hamilton, Bahareh Sara Howard, Mark Diesendorf and Thomas Wiedmann

Energy, 2017, vol. 137, issue C, 314-324

Abstract: We present a discrete numerical computational approach for modelling the CO2eq emissions when transitioning from existing legacy electricity production technologies based on fossil fuels, to new and potentially sustainable alternatives based on renewable energy. This approach addresses the dynamic nature of the transition, where the degree of transition has an ongoing, beneficial and compounding effect on future technological deployments. In other words, as the energy system evolves, renewable energy technologies are made increasingly with renewable energy, thus becoming renewable energy ‘breeders’. We apply this routine to four previously published scenarios for the transition of the Australian electricity sector, which at present accounts for about one-third of the country's annual CO2eq emissions. We find that three of the four scenarios fail to satisfy the electricity sector's proportion of Australia's share of the 2.0 °C/66% IPCC carbon budget, and none of them achieves the 1.5 °C budget. Only the High Carbon Price scenario could be deemed to have made any meaningful impact. An urgent, rapid transition to 100% renewable energy must be made in the whole energy sector, not just electricity, if the 1.5 °C budget is to be satisfied.

Keywords: Renewable energy; Scenario; Life cycle analysis; Discrete numerical computation; Dynamic model (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:137:y:2017:i:c:p:314-324

DOI: 10.1016/j.energy.2017.06.175

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