Consumption vs Production: Why grid emissions should be calculated with flow-traced data
Flow-traced carbon intensity does not only take into account production data but also imports and exports making it more accurate to account for emissions
Apr 17, 2023
Julien Lavalley
Carbon emissions can be calculated with a production-based approach or a consumption-based approach, using flow-traced data. A production-based approach solely considers local electricity generation, whereas a consumption-based approach also factors in imports and exports, thereby concentrating on the electricity actually available on the grid, regardless of where it has been produced. Production-based data is often used because it's more widely available. A consumption-based approach requires tracing back the origin of electricity across all connected grids - a methodology called flow-tracing. Using flow-traced grid emissions factors increases the accuracy of carbon emission calculations. This blog post highlights the differences between the two approaches and outlines why flow-traced data is more accurate to account for emissions related to electricity consumption.
How flow-traced data increases data accuracy
The electricity grid connects multiple countries to allow electricity flowing from one zone to another to balance generation and demand across all zones. While some zones might be generating enough electricity to power their demand at all times and export surplus electricity to others, other zones might depend on imports to meet their hourly demand. In central Europe, countries such as the Czech Republic, Slovakia, or Austria are examples of zones that import a high share of electricity to either act as an intermediary between two neighboring countries (an electricity exporter and an electricity importer) or to bridge the gap between demand and local generation.
Especially when imports take on a high share of the electricity consumed, the carbon intensity of consumed electricity can significantly vary from the carbon intensity of produced electricity. This highlights the necessity of calculating a flow-traced electricity mix to accurately depict the carbon intensity of the electricity one would consume in a zone. Flow-tracing is a methodology used to trace back the origin of electricity across connected grids, which has been described in great detail here!
The carbon intensity provided on our live app and our commercial API allows individuals and customers around the world to understand the carbon intensity of their electricity consumption. Additionally, our power breakdown offers an in-depth overview of the different production modes being consumed and produced within a zone.
Reporting differences between flow-traced and production data
As highlighted, imports of electricity can greatly impact the characteristics of the power mix. Therefore it is essential to adopt a flow-tracing methodology to accurately account for the carbon emissions induced by electricity consumption. To further display the difference between the flow-traced and production-based approach, let us take a look at Austria, a zone with a very high share of imports. Austria’s electricity production is highly dominated by hydropower generation which represented more than 60% of domestic production in between 2021 and 2022. Hydropower, even if considered a dispatchable electricity source, is dependent on the level of water reserves and thus generation can experience seasonal variations. In the following figure, we observe that hydropower generation increases in the summer and decreases during winter in Austria. Electricity imports from neighboring countries increase during summer and decrease during winter to level out the seasonality of hydropower generation. Net imports are defined as the difference between imports and exports. Positive values indicate that imports are greater.
Carbon emissions can be calculated with a production-based approach or a consumption-based approach, using flow-traced data. A production-based approach solely considers local electricity generation, whereas a consumption-based approach also factors in imports and exports, thereby concentrating on the electricity actually available on the grid, regardless of where it has been produced. Production-based data is often used because it's more widely available. A consumption-based approach requires tracing back the origin of electricity across all connected grids - a methodology called flow-tracing. Using flow-traced grid emissions factors increases the accuracy of carbon emission calculations. This blog post highlights the differences between the two approaches and outlines why flow-traced data is more accurate to account for emissions related to electricity consumption.
How flow-traced data increases data accuracy
The electricity grid connects multiple countries to allow electricity flowing from one zone to another to balance generation and demand across all zones. While some zones might be generating enough electricity to power their demand at all times and export surplus electricity to others, other zones might depend on imports to meet their hourly demand. In central Europe, countries such as the Czech Republic, Slovakia, or Austria are examples of zones that import a high share of electricity to either act as an intermediary between two neighboring countries (an electricity exporter and an electricity importer) or to bridge the gap between demand and local generation.
Especially when imports take on a high share of the electricity consumed, the carbon intensity of consumed electricity can significantly vary from the carbon intensity of produced electricity. This highlights the necessity of calculating a flow-traced electricity mix to accurately depict the carbon intensity of the electricity one would consume in a zone. Flow-tracing is a methodology used to trace back the origin of electricity across connected grids, which has been described in great detail here!
The carbon intensity provided on our live app and our commercial API allows individuals and customers around the world to understand the carbon intensity of their electricity consumption. Additionally, our power breakdown offers an in-depth overview of the different production modes being consumed and produced within a zone.
Reporting differences between flow-traced and production data
As highlighted, imports of electricity can greatly impact the characteristics of the power mix. Therefore it is essential to adopt a flow-tracing methodology to accurately account for the carbon emissions induced by electricity consumption. To further display the difference between the flow-traced and production-based approach, let us take a look at Austria, a zone with a very high share of imports. Austria’s electricity production is highly dominated by hydropower generation which represented more than 60% of domestic production in between 2021 and 2022. Hydropower, even if considered a dispatchable electricity source, is dependent on the level of water reserves and thus generation can experience seasonal variations. In the following figure, we observe that hydropower generation increases in the summer and decreases during winter in Austria. Electricity imports from neighboring countries increase during summer and decrease during winter to level out the seasonality of hydropower generation. Net imports are defined as the difference between imports and exports. Positive values indicate that imports are greater.
Carbon emissions can be calculated with a production-based approach or a consumption-based approach, using flow-traced data. A production-based approach solely considers local electricity generation, whereas a consumption-based approach also factors in imports and exports, thereby concentrating on the electricity actually available on the grid, regardless of where it has been produced. Production-based data is often used because it's more widely available. A consumption-based approach requires tracing back the origin of electricity across all connected grids - a methodology called flow-tracing. Using flow-traced grid emissions factors increases the accuracy of carbon emission calculations. This blog post highlights the differences between the two approaches and outlines why flow-traced data is more accurate to account for emissions related to electricity consumption.
How flow-traced data increases data accuracy
The electricity grid connects multiple countries to allow electricity flowing from one zone to another to balance generation and demand across all zones. While some zones might be generating enough electricity to power their demand at all times and export surplus electricity to others, other zones might depend on imports to meet their hourly demand. In central Europe, countries such as the Czech Republic, Slovakia, or Austria are examples of zones that import a high share of electricity to either act as an intermediary between two neighboring countries (an electricity exporter and an electricity importer) or to bridge the gap between demand and local generation.
Especially when imports take on a high share of the electricity consumed, the carbon intensity of consumed electricity can significantly vary from the carbon intensity of produced electricity. This highlights the necessity of calculating a flow-traced electricity mix to accurately depict the carbon intensity of the electricity one would consume in a zone. Flow-tracing is a methodology used to trace back the origin of electricity across connected grids, which has been described in great detail here!
The carbon intensity provided on our live app and our commercial API allows individuals and customers around the world to understand the carbon intensity of their electricity consumption. Additionally, our power breakdown offers an in-depth overview of the different production modes being consumed and produced within a zone.
Reporting differences between flow-traced and production data
As highlighted, imports of electricity can greatly impact the characteristics of the power mix. Therefore it is essential to adopt a flow-tracing methodology to accurately account for the carbon emissions induced by electricity consumption. To further display the difference between the flow-traced and production-based approach, let us take a look at Austria, a zone with a very high share of imports. Austria’s electricity production is highly dominated by hydropower generation which represented more than 60% of domestic production in between 2021 and 2022. Hydropower, even if considered a dispatchable electricity source, is dependent on the level of water reserves and thus generation can experience seasonal variations. In the following figure, we observe that hydropower generation increases in the summer and decreases during winter in Austria. Electricity imports from neighboring countries increase during summer and decrease during winter to level out the seasonality of hydropower generation. Net imports are defined as the difference between imports and exports. Positive values indicate that imports are greater.
Carbon emissions can be calculated with a production-based approach or a consumption-based approach, using flow-traced data. A production-based approach solely considers local electricity generation, whereas a consumption-based approach also factors in imports and exports, thereby concentrating on the electricity actually available on the grid, regardless of where it has been produced. Production-based data is often used because it's more widely available. A consumption-based approach requires tracing back the origin of electricity across all connected grids - a methodology called flow-tracing. Using flow-traced grid emissions factors increases the accuracy of carbon emission calculations. This blog post highlights the differences between the two approaches and outlines why flow-traced data is more accurate to account for emissions related to electricity consumption.
How flow-traced data increases data accuracy
The electricity grid connects multiple countries to allow electricity flowing from one zone to another to balance generation and demand across all zones. While some zones might be generating enough electricity to power their demand at all times and export surplus electricity to others, other zones might depend on imports to meet their hourly demand. In central Europe, countries such as the Czech Republic, Slovakia, or Austria are examples of zones that import a high share of electricity to either act as an intermediary between two neighboring countries (an electricity exporter and an electricity importer) or to bridge the gap between demand and local generation.
Especially when imports take on a high share of the electricity consumed, the carbon intensity of consumed electricity can significantly vary from the carbon intensity of produced electricity. This highlights the necessity of calculating a flow-traced electricity mix to accurately depict the carbon intensity of the electricity one would consume in a zone. Flow-tracing is a methodology used to trace back the origin of electricity across connected grids, which has been described in great detail here!
The carbon intensity provided on our live app and our commercial API allows individuals and customers around the world to understand the carbon intensity of their electricity consumption. Additionally, our power breakdown offers an in-depth overview of the different production modes being consumed and produced within a zone.
Reporting differences between flow-traced and production data
As highlighted, imports of electricity can greatly impact the characteristics of the power mix. Therefore it is essential to adopt a flow-tracing methodology to accurately account for the carbon emissions induced by electricity consumption. To further display the difference between the flow-traced and production-based approach, let us take a look at Austria, a zone with a very high share of imports. Austria’s electricity production is highly dominated by hydropower generation which represented more than 60% of domestic production in between 2021 and 2022. Hydropower, even if considered a dispatchable electricity source, is dependent on the level of water reserves and thus generation can experience seasonal variations. In the following figure, we observe that hydropower generation increases in the summer and decreases during winter in Austria. Electricity imports from neighboring countries increase during summer and decrease during winter to level out the seasonality of hydropower generation. Net imports are defined as the difference between imports and exports. Positive values indicate that imports are greater.
Hydropower generation, electricity production and consumption, and net imports in Austria
Hydropower generation, electricity production and consumption, and net imports in Austria
Hydropower generation, electricity production and consumption, and net imports in Austria
Hydropower generation, electricity production and consumption, and net imports in Austria
Austria is interconnected with eight neighboring countries: Switzerland, Germany, the Czech Republic, Slovakia, Slovenia, Italy, Hungary, and Liechtenstein. To meet demand requirements, Austria was a net importer of electricity between 2021 and 2022, importing massively from Germany and the Czech Republic. During this period, electricity consumed in Austria was on average composed of 13% of electricity imported from Germany and 20% of electricity imported from the Czech Republic. Both zones have a much higher production-based carbon intensity than Austria therefore the carbon intensity of imported electricity in Austria can strongly differ from the carbon intensity of the electricity locally generated. On average, during the years 2021 and 2022, imported electricity from Germany and the Czech Republic had a respective carbon intensity of 450gCO2eq/kWh and 545gCO2eq/kWh, while electricity produced in Austria had an average carbon intensity of 130gCO2eq/kWh.
Austria is interconnected with eight neighboring countries: Switzerland, Germany, the Czech Republic, Slovakia, Slovenia, Italy, Hungary, and Liechtenstein. To meet demand requirements, Austria was a net importer of electricity between 2021 and 2022, importing massively from Germany and the Czech Republic. During this period, electricity consumed in Austria was on average composed of 13% of electricity imported from Germany and 20% of electricity imported from the Czech Republic. Both zones have a much higher production-based carbon intensity than Austria therefore the carbon intensity of imported electricity in Austria can strongly differ from the carbon intensity of the electricity locally generated. On average, during the years 2021 and 2022, imported electricity from Germany and the Czech Republic had a respective carbon intensity of 450gCO2eq/kWh and 545gCO2eq/kWh, while electricity produced in Austria had an average carbon intensity of 130gCO2eq/kWh.
Austria is interconnected with eight neighboring countries: Switzerland, Germany, the Czech Republic, Slovakia, Slovenia, Italy, Hungary, and Liechtenstein. To meet demand requirements, Austria was a net importer of electricity between 2021 and 2022, importing massively from Germany and the Czech Republic. During this period, electricity consumed in Austria was on average composed of 13% of electricity imported from Germany and 20% of electricity imported from the Czech Republic. Both zones have a much higher production-based carbon intensity than Austria therefore the carbon intensity of imported electricity in Austria can strongly differ from the carbon intensity of the electricity locally generated. On average, during the years 2021 and 2022, imported electricity from Germany and the Czech Republic had a respective carbon intensity of 450gCO2eq/kWh and 545gCO2eq/kWh, while electricity produced in Austria had an average carbon intensity of 130gCO2eq/kWh.
Austria is interconnected with eight neighboring countries: Switzerland, Germany, the Czech Republic, Slovakia, Slovenia, Italy, Hungary, and Liechtenstein. To meet demand requirements, Austria was a net importer of electricity between 2021 and 2022, importing massively from Germany and the Czech Republic. During this period, electricity consumed in Austria was on average composed of 13% of electricity imported from Germany and 20% of electricity imported from the Czech Republic. Both zones have a much higher production-based carbon intensity than Austria therefore the carbon intensity of imported electricity in Austria can strongly differ from the carbon intensity of the electricity locally generated. On average, during the years 2021 and 2022, imported electricity from Germany and the Czech Republic had a respective carbon intensity of 450gCO2eq/kWh and 545gCO2eq/kWh, while electricity produced in Austria had an average carbon intensity of 130gCO2eq/kWh.
Evolution of the net imports between Austria and selected neighboring countries
Evolution of the net imports between Austria and selected neighboring countries
Evolution of the net imports between Austria and selected neighboring countries
Evolution of the net imports between Austria and selected neighboring countries
Comparison of the carbon intensity of electricity imported from selected neighboring countries with the carbon intensity of Austrian electricity production
Comparison of the carbon intensity of electricity imported from selected neighboring countries with the carbon intensity of Austrian electricity production
Comparison of the carbon intensity of electricity imported from selected neighboring countries with the carbon intensity of Austrian electricity production
Comparison of the carbon intensity of electricity imported from selected neighboring countries with the carbon intensity of Austrian electricity production
All year long, the carbon intensity of the flow-traced electricity mix is higher than the carbon intensity of the production mix. However, both carbon intensities show a seasonal variation, increasing when hydropower generation decreases and inversely. The ratio between the two carbon intensities reaches its highest point during summer. Even though Austria tends to import less electricity during summer, the carbon intensity of this imported electricity remains high, especially for the electricity imported from the Czech Republic where coal dominates the production mix. At these times, the carbon intensity of electricity consumed in Austria is up to three times greater than the carbon intensity of locally generated electricity. As a result, calculating a carbon footprint with production-based data (instead of flow-traced data) in Austria would greatly underestimate the emissions. A consumer, whose consumption would follow the same profile as the overall Austrian demand (higher consumption during the day and lower consumption during the night), would underestimate its carbon emissions from electricity consumption by more than 40% if they don't use flow-traced grid data.
All year long, the carbon intensity of the flow-traced electricity mix is higher than the carbon intensity of the production mix. However, both carbon intensities show a seasonal variation, increasing when hydropower generation decreases and inversely. The ratio between the two carbon intensities reaches its highest point during summer. Even though Austria tends to import less electricity during summer, the carbon intensity of this imported electricity remains high, especially for the electricity imported from the Czech Republic where coal dominates the production mix. At these times, the carbon intensity of electricity consumed in Austria is up to three times greater than the carbon intensity of locally generated electricity. As a result, calculating a carbon footprint with production-based data (instead of flow-traced data) in Austria would greatly underestimate the emissions. A consumer, whose consumption would follow the same profile as the overall Austrian demand (higher consumption during the day and lower consumption during the night), would underestimate its carbon emissions from electricity consumption by more than 40% if they don't use flow-traced grid data.
All year long, the carbon intensity of the flow-traced electricity mix is higher than the carbon intensity of the production mix. However, both carbon intensities show a seasonal variation, increasing when hydropower generation decreases and inversely. The ratio between the two carbon intensities reaches its highest point during summer. Even though Austria tends to import less electricity during summer, the carbon intensity of this imported electricity remains high, especially for the electricity imported from the Czech Republic where coal dominates the production mix. At these times, the carbon intensity of electricity consumed in Austria is up to three times greater than the carbon intensity of locally generated electricity. As a result, calculating a carbon footprint with production-based data (instead of flow-traced data) in Austria would greatly underestimate the emissions. A consumer, whose consumption would follow the same profile as the overall Austrian demand (higher consumption during the day and lower consumption during the night), would underestimate its carbon emissions from electricity consumption by more than 40% if they don't use flow-traced grid data.
All year long, the carbon intensity of the flow-traced electricity mix is higher than the carbon intensity of the production mix. However, both carbon intensities show a seasonal variation, increasing when hydropower generation decreases and inversely. The ratio between the two carbon intensities reaches its highest point during summer. Even though Austria tends to import less electricity during summer, the carbon intensity of this imported electricity remains high, especially for the electricity imported from the Czech Republic where coal dominates the production mix. At these times, the carbon intensity of electricity consumed in Austria is up to three times greater than the carbon intensity of locally generated electricity. As a result, calculating a carbon footprint with production-based data (instead of flow-traced data) in Austria would greatly underestimate the emissions. A consumer, whose consumption would follow the same profile as the overall Austrian demand (higher consumption during the day and lower consumption during the night), would underestimate its carbon emissions from electricity consumption by more than 40% if they don't use flow-traced grid data.
Evolution of production and consumption carbon intensities in Austria
Evolution of production and consumption carbon intensities in Austria
Evolution of production and consumption carbon intensities in Austria
Evolution of production and consumption carbon intensities in Austria
Key Takeaways
The high variation between the consumption-based and production-based approaches for carbon emission calculations showcases the importance of using flow-traced data when reporting emissions. While in Austria considering only locally generated electricity would underestimate the carbon footprint of electricity, in other zones, it could lead to overestimations. This example of Austria showcases how discrepancies between carbon emissions calculations can exceed 40% between production and flow-traced data. The figure below illustrates this mismatch between production and flow-traced carbon intensities on a yearly basis for multiple zones worldwide. This illustration further emphasizes the need for using flow-traced data to accurately measure carbon emissions. A complete list of zones with associated difference between production and flow-traced carbon intensities is included below.
Key Takeaways
The high variation between the consumption-based and production-based approaches for carbon emission calculations showcases the importance of using flow-traced data when reporting emissions. While in Austria considering only locally generated electricity would underestimate the carbon footprint of electricity, in other zones, it could lead to overestimations. This example of Austria showcases how discrepancies between carbon emissions calculations can exceed 40% between production and flow-traced data. The figure below illustrates this mismatch between production and flow-traced carbon intensities on a yearly basis for multiple zones worldwide. This illustration further emphasizes the need for using flow-traced data to accurately measure carbon emissions. A complete list of zones with associated difference between production and flow-traced carbon intensities is included below.
Key Takeaways
The high variation between the consumption-based and production-based approaches for carbon emission calculations showcases the importance of using flow-traced data when reporting emissions. While in Austria considering only locally generated electricity would underestimate the carbon footprint of electricity, in other zones, it could lead to overestimations. This example of Austria showcases how discrepancies between carbon emissions calculations can exceed 40% between production and flow-traced data. The figure below illustrates this mismatch between production and flow-traced carbon intensities on a yearly basis for multiple zones worldwide. This illustration further emphasizes the need for using flow-traced data to accurately measure carbon emissions. A complete list of zones with associated difference between production and flow-traced carbon intensities is included below.
Key Takeaways
The high variation between the consumption-based and production-based approaches for carbon emission calculations showcases the importance of using flow-traced data when reporting emissions. While in Austria considering only locally generated electricity would underestimate the carbon footprint of electricity, in other zones, it could lead to overestimations. This example of Austria showcases how discrepancies between carbon emissions calculations can exceed 40% between production and flow-traced data. The figure below illustrates this mismatch between production and flow-traced carbon intensities on a yearly basis for multiple zones worldwide. This illustration further emphasizes the need for using flow-traced data to accurately measure carbon emissions. A complete list of zones with associated difference between production and flow-traced carbon intensities is included below.
Comparison of production and consumption yearly carbon intensity (>10% values)
Comparison of production and consumption yearly carbon intensity (>10% values)
Comparison of production and consumption yearly carbon intensity (>10% values)
Comparison of production and consumption yearly carbon intensity (>10% values)
Comparison of production and consumption yearly carbon intensity (<-10% values)
Comparison of production and consumption yearly carbon intensity (<-10% values)
Comparison of production and consumption yearly carbon intensity (<-10% values)
Comparison of production and consumption yearly carbon intensity (<-10% values)
