Real-time carbon accounting method for the European electricity markets

Tranberg, Bo; Corradi, Olivier; Lajoie, Bruno; Gibon, Thomas; Staffell, Iain; Andresen, Gorm Bruun

doi:10.1016/j.esr.2019.100367

Cited by 130 publications

(99 citation statements)

References 17 publications

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“…The importance of location has been noted in several other studies [6,12,25]. Hittinger and Azevedo [6] estimated the effect of bulk storage on net emissions in 20 sub-regions in the United States, finding that net system CO2 emissions resulting from storage operation range from 104 to 407 gCO2/kWh of delivered energy depending upon location, storage operation mode, and assumptions regarding carbon intensity.…”

Section: Introductionmentioning

confidence: 91%

“…For this purpose, a power flow model is necessary to determine flows in the electricity transmission network and hence associate electricity consumption with generation. This approach has been applied in Great Britain by Bruce and Ruff on behalf of the system operator [26] and in continental Europe by Tranberg et al [25]. Both the work of Bruce and Ruff and that of Tranberg et al are used in the development of websites, the former for the Carbon Intensity website and API (www.carbonintensity.org.uk) and the latter for electricityMap (www.electricitymap.org).…”

Section: A Determining Regional Marginal Emissions Factorsmentioning

confidence: 99%

“…Hittinger and Azevedo [6] estimated the effect of bulk storage on net emissions in 20 sub-regions in the United States, finding that net system CO2 emissions resulting from storage operation range from 104 to 407 gCO2/kWh of delivered energy depending upon location, storage operation mode, and assumptions regarding carbon intensity. Tranberg et al [25] developed a real-time carbon accounting method for the European electricity market, employing a flow tracing methodology to track the flow of electricity by generation technology and country of origin. Differences in production and consumption intensities were found to be large in countries that import power from countries with different generation mixes to their own.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluating the regional potential for emissions reduction using energy storage

Pimm

Barbour

Cockerill

et al. 2019

2019 Offshore Energy and Storage Summit (OSES)

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Energy storage is an enabler of low carbon electricity generation, however several studies have shown that its use can cause a non-trivial increase in carbon emissions even if the storage has 100% round-trip efficiency. To understand the impact of storage operation and demand response on emissions, it is necessary to determine the marginal emissions factor (MEF) at the time the storage or demand response was operated. This paper presents statistical approaches to determining regional MEFs using data on regional electricity demand and generation by fuel type, with a simple power flow model used to determine consumption emissions by region. The technique is applied to the electricity system in Great Britain in 2018. It is found that the impact of storage varies widely by location and operating mode, with the greatest emissions reductions achieved when storage is used to reduce wind curtailment in areas which consume high levels of fossil fuel generation, and the greatest emissions increases occurring where storage is used for wind balancing in areas where wind is not curtailed. The difference between the highest emissions reduction and highest emissions increase is found to be significant, at 785 gCO2 per kWh that passes through storage.

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Section: Introductionmentioning

confidence: 91%

Section: A Determining Regional Marginal Emissions Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating the regional potential for emissions reduction using energy storage

Pimm

Barbour

Cockerill

et al. 2019

2019 Offshore Energy and Storage Summit (OSES)

View full text Add to dashboard Cite

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“…These are then burdened with specific CO 2 emissions. When external electricity is purchased, this happens dynamically, depending on national generation and consumption in accordance with [24,25]. Affordable energy for residents at market prices is difficult to quantify because it depends largely on internal company calculations and supply contracts.…”

Section: Targeting Phasementioning

confidence: 99%

Development of a Decision-Making Framework for Distributed Energy Systems in a German District

Schmeling¹,

Schönfeldt²,

Klement³

et al. 2019

Preprint

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The planning and decision-making for a distributed energy supply concept in complex actor structures like in districts calls for the approach to be highly structured. An strategy with strong use of energetic simulations is developed here and the core elements shall be presented. The exemplary implementation is shown using the case study of a new district on the former Oldenburg airbase in northwestern Germany. The process is divided into four consecutive phases, which are carried out with different stakeholder participation and use of different simulation-tools. Based on a common objective, a superstructure of the applicable technologies is developed. Detailed planning is then carried out with the help of an optimal sizing algorithm and Monte Carlo based risk assessment. The process ends with the operating phase, which is to guarantee a further optimal and dynamic mode of operation. The main objective of this publication is to give a brought introduction to the intended planning processes and decision-making framework and to find and identify research gaps that will have to be addressed in the future.

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“…Ref. [8] uses this cross-border flow data to implement a real-time consumptionbased carbon accounting approach based on the application of the flow tracing technique [9]. Such an approach is also discussed by the electricityMap project, which visualizes crossborder flows and associated CO 2 emissions [10].…”

Section: Introductionmentioning

confidence: 99%

Principal Cross-Border Flow Patterns in the European Electricity Markets

Schäfer

Hofmann

Abdel-Khalek

et al. 2019

2019 16th International Conference on the European Energy Market (EEM)

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The interconnected European Electricity Markets see considerable cross-border trade between different countries. In conjunction with the structure and technical characteristics of the power grid and its operating rules, the corresponding commercial flows translate into actual physical flows on the interconnection lines. From the interplay of different physical, technical, and economic factors thus emerge complex spatiotemporal power flow patterns. Using Principal Component Analysis, in this contribution hourly time-series of cross-border physical flows between European countries in 2017 and 2018 are analyzed. The most important patterns in the time series of imports/exports and cross-border physical flows are identified. Their spatial and temporal structure, as well as their contribution to the overall variance is described. Additionally, we apply a tracing technique to the overall flow patterns, which allows identifying the physical power transfers between European countries through the common grid infrastructure.

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Real-time carbon accounting method for the European electricity markets

Cited by 130 publications

References 17 publications

Evaluating the regional potential for emissions reduction using energy storage

Evaluating the regional potential for emissions reduction using energy storage

Development of a Decision-Making Framework for Distributed Energy Systems in a German District

Principal Cross-Border Flow Patterns in the European Electricity Markets

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