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Real-Time Carbon Accounting Method for the European Electricity Markets (1812.06679v3)

Published 17 Dec 2018 in physics.soc-ph and q-fin.GN

Abstract: Electricity accounts for 25% of global greenhouse gas emissions. Reducing emissions related to electricity consumption requires accurate measurements readily available to consumers, regulators and investors. In this case study, we propose a new real-time consumption-based accounting approach based on flow tracing. This method traces power flows from producer to consumer thereby representing the underlying physics of the electricity system, in contrast to the traditional input-output models of carbon accounting. With this method we explore the hourly structure of electricity trade across Europe in 2017, and find substantial differences between production and consumption intensities. This emphasizes the importance of considering cross-border flows for increased transparency regarding carbon emission accounting of electricity.

Citations (130)

Summary

  • The paper presents a real-time carbon accounting method using flow tracing to accurately track emissions associated with electricity consumption across complex cross-border flows in Europe.
  • Results show countries' consumption-based carbon intensity often differs significantly from production intensity due to the influence of electricity imports.
  • This method highlights the critical need to include cross-border flows for accurate carbon reporting, supporting informed policy and sustainable decision-making for consumers and regulators.

Real-Time Carbon Accounting Method for the European Electricity Markets

The paper "Real-Time Carbon Accounting Method for the European Electricity Markets" presents an innovative approach to carbon accounting through the application of flow tracing techniques. This method is essential for providing an accurate representation of carbon emissions associated with electricity consumption, as it accounts for the intrinsic complexities of cross-border electricity flows across Europe. By leveraging real-time data from electricity markets, this paper elucidates the often-substantial discrepancies between production and consumption-based carbon intensities.

Summary of Methodology

The proposed method utilizes flow tracing to assign carbon emissions based on the specific paths electricity takes from generation to consumption points. Traditional input-output models lack this spatial and temporal resolution, often overlooking the complexities introduced by international electricity trade. In contrast, flow tracing employs a mathematical framework where power flows on the grid are followed, allowing for a detailed breakdown of emissions corresponding to each generation technology. This method builds upon previous flow-tracing applications in the field, adapting the approach to handle real-time electricity data for 28 European areas over the 2017 period.

Key Results

This application of flow tracing yielded several noteworthy results:

  • Countries with high shares of non-fossil generation often report consumption intensities that differ significantly from production intensities due to electricity imports.
  • Slovakia and Austria exemplify countries with clean production profiles that, nonetheless, show higher consumption intensities due to reliance on fossil-fuel-heavy imports.
  • Conversely, countries like Denmark, with substantial fossil fuel-based production, benefit from cleaner imports, resulting in lower consumption intensities.
  • The analysis indicates that imports considerably influence the carbon footprint of electricity consumption, necessitating a nuanced approach to emission accountability.

Implications and Future Prospects

The findings highlight the relevance of including cross-border electricity flows when accounting for carbon emissions, enhancing transparency and accuracy in reporting. This methodological advancement is pivotal for consumers, regulators, and investors who require precise data to inform sustainable decision-making and policy development.

Looking to the future, the paper suggests the potential expansion of this method to incorporate broader geographical regions as data availability improves. The integration of additional electrified sectors such as transport and heating could further extend this approach, enabling a holistic view of the carbon emissions of entire energy systems. Moreover, this could facilitate the development of innovative applications such as real-time carbon pricing mechanisms tied directly to the temporal and spatial characteristics of electricity consumption.

Conclusion

This work makes a substantive contribution to the field of carbon accounting by introducing a sophisticated tracing mechanism for examining the carbon intensity associated with electricity consumption. As electricity markets and trajectories towards decarbonization continue evolving, methodologies that incorporate real-time, consumption-based insights will be crucial for attaining emissions reductions goals and promoting transparency in the energy sector.

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