Could Bitcoin emissions push global warming above 2 °C?

@article{Dittmar2019CouldBE,
  title={Could Bitcoin emissions push global warming above 2 °C?},
  author={Lars Dittmar and Aaron Praktiknjo},
  journal={Nature Climate Change},
  year={2019}
}
View via Publisher
static-content.springer.com
26 Citations
Highly Influential Citations
1
Background Citations
4
Results Citations
1

26 Citations

Citation Type

Citation Type

Machine Learning the Carbon Footprint of Bitcoin Mining
TLDR
It is demonstrated how machine learning methods can contribute to non-for-profit pressing societal issues, like global warming, where data complexity and availability can be overcome.
Curvetime: A blockchain framework for Artificial Intelligence computation
  • Jie You
  • Computer Science
    Software Impacts
  • 2022
Is Digital Adoption the way forward to Curb Energy Poverty?
Blockchain Framework For Arti cial Intelligence Computation
TLDR
This work poses proof-of-work as a reinforcement-learning problem by modeling the blockchain growing as a Markov decision process, in which a learning agent makes an optimal decision over the environment’s state, whereas a new block is added and verified.
Cryptocurrencies’ hashrate and electricity consumption: evidence from mining activities
TLDR
The hashrate (difficulty of solving the cryptographic problem related to the validation of a transaction) is found to have a positive cointegration with energy and electricity consumption.
Blockchain Framework for Artificial Intelligence Computation
TLDR
This work designs the block verification and consensus mechanism as a deep reinforcement-learning iteration process and utilizes the determination of state transition and the randomness of action selection of a Markov decision process, as well as the computational complexity of a deep neural network to design the next generation of public blockchain networks.
Can Fintech development pave the way for a transition towards low-carbon economy: A global perspective
Advances in Machine Learning & Artificial Intelligence
TLDR
This paper designs the block verification and consensus mechanism as a deep reinforcement-learning iteration process and uses the determination of state transition and the randomness of action selection of a Markov decision process, as well as the computational complexity of a deep neural network, to design the next generation of public blockchain networks.
Bitcoin investments and climate change: A financial and carbon intensity perspective
Proof-of-work based blockchain technology and Anthropocene: An undermined situation?
  • C. Schinckus
  • Economics
    Renewable and Sustainable Energy Reviews
  • 2021
...
...

References

SHOWING 1-5 OF 5 REFERENCES
Quantification of energy and carbon costs for mining cryptocurrencies
TLDR
This analysis compares several cryptocurrencies and metals in terms of the amount of energy needed to create one US dollar of value, as well as the carbon emissions that may be directly attributable to cryptocurrency mining.
World Energy Outlook 2015
  • Aie
  • Economics
  • 2015
The precipitous fall in oil prices, continued geopolitical instability and the ongoing global climate negotiations are witness to the dynamic nature of energy markets. In a time of so much…
Bitcoin emissions alone could push global warming above 2°C
Bitcoin is a power-hungry cryptocurrency that is increasingly used as an investment and payment system. Here we show that projected Bitcoin usage, should it follow the rate of adoption of other…
Bitcoin mining and its energy footprint
TLDR
It is concluded that specialist hardware is usually required to make Bitcoin mining profitable, and it is shown that the power currently used for Bitcoin mining is comparable to Ireland's electricity consumption.
Implications of Historical Trends in the Electrical Efficiency of Computing
The electrical efficiency of computation has doubled roughly every year and a half for more than six decades, a pace of change comparable to that for computer performance and electrical efficiency in…