Could Bitcoin emissions push global warming above 2 °C?

  title={Could Bitcoin emissions push global warming above 2 °C?},
  author={Lars Dittmar and Aaron Praktiknjo},
  journal={Nature Climate Change},
Machine Learning the Carbon Footprint of Bitcoin Mining
This work measured the carbon footprint of Bitcoin mining power consumption using feed-forward neural networks and demonstrates how machine learning methods can contribute to not-for-profit pressing societal issues, such as global warming, where data complexity and availability can be overcome.
How to Make Users Adopt More Sustainable Cryptocurrencies: Evidence from Nigeria
It is concluded that the primary task of policy makers in the context of cryptocurrency sustainability is to enforce consumer education.
Secure Multi-Robot Information Sampling with Periodic and Opportunistic Connectivity
This paper proposes algorithms that build on blockchain technology to address the data integrity problem, but also take into account the limitations of the robots' resources and communication, and evaluates the proposed algorithms along the perspective of the tradeoffs between data integrity, model accuracy, and time consumption.
Is Digital Adoption the way forward to Curb Energy Poverty?
Blockchain Framework For Arti cial Intelligence Computation
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
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.
Advances in Machine Learning & Artificial Intelligence
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.


Quantification of energy and carbon costs for mining cryptocurrencies
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
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