https://github.com/douglascdev/bitcoin_e-waste

Jupyter Notebook that calculates a rough estimate of how much e-waste is generated per transaction by the Bitcoin main network, based on the expected lifespan and hash rate of the ASIC Antminer S19J Pro.
https://github.com/douglascdev/bitcoin_e-waste

bitcoin cryptocurrency jupyter-notebook python3

Last synced: about 1 month ago
JSON representation

Jupyter Notebook that calculates a rough estimate of how much e-waste is generated per transaction by the Bitcoin main network, based on the expected lifespan and hash rate of the ASIC Antminer S19J Pro.

• Host: GitHub
• URL: https://github.com/douglascdev/bitcoin_e-waste
• Owner: douglascdev
• License: mit
• Created: 2021-10-18T19:41:52.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-10-18T22:52:39.000Z (over 4 years ago)
• Last Synced: 2025-01-08T20:22:28.239Z (over 1 year ago)
• Topics: bitcoin, cryptocurrency, jupyter-notebook, python3
• Language: Jupyter Notebook
• Homepage:
• Size: 5.86 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Bitcoin e-waste estimate

Calculates a rough estimate of how much e-waste is generated per-transaction by the Bitcoin main network, based on the expected lifespan and hashrate of the ASIC Antminer S19J Pro.

## Results

Results while running at 18/10/2021

 * Hashrate = 143,388,851,802 GH/s

 * You'd need 1,433,888 S19J Pros to match the 143,388,851,802,000,000,000 H/s network hashrate

 * After 5 years of operation, 1,433,888 S19Js would have generated 20,934,764.8 kg of e-waste, 4,186,952.96 kg per year

 * Transactions in 24 hours = 268,899

 * The e-waste generated per transaction would be: 42.66g

 

## Some issues

 * Average ASICs in actual use have many different specs, making the used hash rate, weight and lifespan inaccurate

 * The actual number of yearly transactions is approximated by getting the number of transactions today and multiplying by 365, but the actual number of transactions varies a lot on different days.

 * Calculation could be wrong, no one checked except for me