The Ethereum network is a distributed global network of computers that requires massive amounts of computational power to maintain. Previous studies on estimating the energy use and emissions of the Ethereum network have relied on top-down economic analysis and rough estimates of hardware efficiency and emissions factors. However, in this study, the authors provide a bottom-up analysis that works from hashrate to an energy usage estimate, and from mining locations to an emissions factor estimate, combining these for an overall emissions estimate. The study analyzes the entire history of Proof-of-Work (PoW) Ethereum, from creation to the merge. The authors estimate that the Ethereum network has used between 42 TW h and 89 TW h with a best guess of 60 TW h since its inception in 2015. They also estimate emissions factors for popular regions where Ethereum is mined by guessing which region a block was mined in based on block metadata. The daily energy usage is then multiplied by daily emissions factors to estimate the emissions of the Ethereum network. The results show that the estimated emissions have increased over time due to an increase in hashing power and electricity consumption. However, there are some limitations to this study as it only estimates direct operational emissions from mining activities and does not consider indirect or embodied emissions from manufacturing hardware or infrastructure. Comparing their results with previous studies, they found that their estimates were similar but slightly higher due to accounting for more factors such as datacenter overheads, hardware overheads, grid loss, etc. Additionally, they found that high prices may not be significantly changing the hardware mix as hashing efficiency has increased since 2020-04 at a similar rate to their trendline. Overall, this study provides valuable insights into understanding the environmental impact of PoW-based blockchain networks like Ethereum and highlights areas where further research can be done to better understand their environmental impact.
- The Ethereum network is a distributed global network of computers that requires massive amounts of computational power to maintain.
- Previous studies on estimating the energy use and emissions of the Ethereum network have relied on top-down economic analysis and rough estimates of hardware efficiency and emissions factors.
- This study provides a bottom-up analysis that works from hashrate to an energy usage estimate, and from mining locations to an emissions factor estimate, combining these for an overall emissions estimate.
- The authors analyze the entire history of Proof-of-Work (PoW) Ethereum, from creation to the merge.
- The authors estimate that the Ethereum network has used between 42 TW h and 89 TW h with a best guess of 60 TW h since its inception in 2015.
- They also estimate emissions factors for popular regions where Ethereum is mined by guessing which region a block was mined in based on block metadata.
- The estimated emissions have increased over time due to an increase in hashing power and electricity consumption.
- Limitations include only estimating direct operational emissions from mining activities and not considering indirect or embodied emissions from manufacturing hardware or infrastructure.
- Comparing their results with previous studies, they found that their estimates were similar but slightly higher due to accounting for more factors such as datacenter overheads, hardware overheads, grid loss, etc.
- High prices may not be significantly changing the hardware mix as hashing efficiency has increased since 2020-04 at a similar rate to their trendline.
- Overall, this study provides valuable insights into understanding the environmental impact of PoW-based blockchain networks like Ethereum and highlights areas where further research can be done to better understand their environmental impact.
- Ethereum is a computer network that needs a lot of power to work.
- People have tried to figure out how much energy Ethereum uses, but this study looks at it in a different way.
- The study found that Ethereum has used a lot of energy since it started in 2015, and the amount has gone up over time.
- The study also looked at how much pollution Ethereum creates, and found that it's not good for the environment.
- This study helps us understand how using Ethereum affects the environment.
Definitions
- Ethereum: A type of digital currency that uses blockchain technology
- Computational power: The ability of computers to do complex calculations quickly
- Emissions: Pollutants released into the air or water
- Proof-of-Work (PoW): A method used by some cryptocurrencies to verify transactions and create new coins through solving complex mathematical problems
- Hashrate: The speed at which a computer can solve these mathematical problems
- Direct operational emissions: Pollution created directly by mining activities
- Indirect or embodied emissions: Pollution created during manufacturing or building infrastructure
Exploring the Environmental Impact of Ethereum's Proof-of-Work Network
The Ethereum network is a distributed global network of computers that requires massive amounts of computational power to maintain. As such, it has become increasingly important to understand the environmental impact of this type of blockchain technology. Previous studies on estimating the energy use and emissions associated with the Ethereum network have relied on top-down economic analysis and rough estimates of hardware efficiency and emissions factors. However, in a recent study published by researchers at ETH Zurich, they provide an in-depth bottom-up analysis that works from hashrate to an energy usage estimate, and from mining locations to an emissions factor estimate, combining these for an overall emissions estimate.
Methodology
The authors analyze the entire history of Proof-of-Work (PoW) Ethereum since its creation in 2015 up until its merge with other networks in 2020. To do this, they first calculate the total energy used by estimating daily electricity consumption based on hashrate data from Etherscan. They then multiply this daily electricity consumption by regional emission factors estimated using block metadata which can be used to guess which region a block was mined in. This allows them to obtain daily emission estimates for each region where Ethereum is mined as well as for the overall network itself.
Results
The results show that since its inception in 2015, the estimated total energy used by Ethereum’s PoW network ranges between 42 TW h and 89 TW h with a best guess value of 60 TW h. The authors also found that estimated emissions have increased over time due to an increase in hashing power and electricity consumption but are still relatively low compared to other industries such as transportation or manufacturing. Additionally, they found that high prices may not be significantly changing the hardware mix as hashing efficiency has increased since 2020-04 at a similar rate to their trendline prediction model despite higher prices incentivizing miners towards more efficient hardware setups.
Limitations & Further Research
This study only considers direct operational emissions from mining activities and does not account for indirect or embodied emissions from manufacturing hardware or infrastructure associated with mining operations which could potentially lead to overestimation or underestimation depending on how much these contribute towards overall energy usage/emissions associated with cryptocurrency networks like Ethereum’s PoW system. Additionally, further research should be done into understanding how different regions vary when it comes to their respective emission factors as well as what kind of measures can be taken at both local/regional levels as well as industry wide levels so reduce carbon footprints associated with cryptocurrency networks like Bitcoin & Ethereum’s PoW systems while still allowing them remain competitive within their respective markets .
Conclusion
Overall, this study provides valuable insights into understanding the environmental impact of PoW-based blockchain networks like Ethereum and highlights areas where further research can be done to better understand their environmental impact while also providing potential solutions for reducing carbon footprints associated with these types of networks going forward into 2021 & beyond .
