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Emissions and prices are anticorrelated in Australia’s electricity grid, undermining the potential of energy storage to support decarbonisation

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  • Bardwell, Louise
  • Blackhall, Lachlan
  • Shaw, Marnie

Abstract

Recent work has shown that energy storage operating in a CO2 intensive grid can increase greenhouse gas (GHG) emissions. In this paper we sought to characterise the emissions of Australia’s electricity grid to inform the planning and operation of energy storage with the goal of minimising emissions associated with energy storage and supporting the rapid decarbonisation of Australia’s energy system.

Suggested Citation

  • Bardwell, Louise & Blackhall, Lachlan & Shaw, Marnie, 2023. "Emissions and prices are anticorrelated in Australia’s electricity grid, undermining the potential of energy storage to support decarbonisation," Energy Policy, Elsevier, vol. 173(C).
  • Handle: RePEc:eee:enepol:v:173:y:2023:i:c:s0301421522006280
    DOI: 10.1016/j.enpol.2022.113409
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    References listed on IDEAS

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    1. Hawkes, A.D., 2014. "Long-run marginal CO2 emissions factors in national electricity systems," Applied Energy, Elsevier, vol. 125(C), pages 197-205.
    2. Di Somma, M. & Graditi, G. & Heydarian-Forushani, E. & Shafie-khah, M. & Siano, P., 2018. "Stochastic optimal scheduling of distributed energy resources with renewables considering economic and environmental aspects," Renewable Energy, Elsevier, vol. 116(PA), pages 272-287.
    3. Fleschutz, Markus & Bohlayer, Markus & Braun, Marco & Henze, Gregor & Murphy, Michael D., 2021. "The effect of price-based demand response on carbon emissions in European electricity markets: The importance of adequate carbon prices," Applied Energy, Elsevier, vol. 295(C).
    4. Stoll, Pia & Brandt, Nils & Nordström, Lars, 2014. "Including dynamic CO2 intensity with demand response," Energy Policy, Elsevier, vol. 65(C), pages 490-500.
    5. Arciniegas, Laura M. & Hittinger, Eric, 2018. "Tradeoffs between revenue and emissions in energy storage operation," Energy, Elsevier, vol. 143(C), pages 1-11.
    6. Pimm, Andrew J. & Palczewski, Jan & Barbour, Edward R. & Cockerill, Tim T., 2021. "Using electricity storage to reduce greenhouse gas emissions," Applied Energy, Elsevier, vol. 282(PA).
    7. Lee, J. & Bérard, Jean-Philippe & Razeghi, G. & Samuelsen, S., 2020. "Maximizing PV hosting capacity of distribution feeder microgrid," Applied Energy, Elsevier, vol. 261(C).
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    Cited by:

    1. Chen, Qi & Kuang, Zhonghong & Liu, Xiaohua & Zhang, Tao, 2024. "Optimal sizing and techno-economic analysis of the hybrid PV-battery-cooling storage system for commercial buildings in China," Applied Energy, Elsevier, vol. 355(C).
    2. Beltrami, Filippo, 2024. "The impact of hydroelectric storage in Northern Italy’s power market," Energy Policy, Elsevier, vol. 191(C).

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