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Energy and cost efficiency of Bitcoin mining endeavor

Author

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  • Małgorzata Jabłczyńska
  • Krzysztof Kosc
  • Przemysław Ryś
  • Paweł Sakowski
  • Robert Ślepaczuk
  • Grzegorz Zakrzewski

Abstract

The main aim of the study is to analyze BTC mining’s efficiency under current market conditions (December 2021), including soaring energy prices produced from many different sources in different geographical locations. After a thorough analysis of initial assumptions concerning the (1) price of mining machine with associated components and its effective amortization period, (2) difficulty and the hash rate of the BTC network, (3) BTC transaction fees, and (4) energy costs from various sources, we have found that currently, BTC mining is not profitable, except for some rare cases. The main reason for this phenomenon is the fast and unpredictable increase of difficulty of the BTC network over time which results in decreasing participation of already purchased mining machines in the BTC network hash rate. The research is augmented with a detailed sensitivity analysis of mining efficiency to initial parameters assumptions, which allows observing that the conditions for BTC mining to be efficient and profitable are very challenging.

Suggested Citation

  • Małgorzata Jabłczyńska & Krzysztof Kosc & Przemysław Ryś & Paweł Sakowski & Robert Ślepaczuk & Grzegorz Zakrzewski, 2023. "Energy and cost efficiency of Bitcoin mining endeavor," PLOS ONE, Public Library of Science, vol. 18(3), pages 1-45, March.
  • Handle: RePEc:plo:pone00:0283687
    DOI: 10.1371/journal.pone.0283687
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    References listed on IDEAS

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    1. Delgado-Mohatar, Oscar & Felis-Rota, Marta & Fernández-Herraiz, Carlos, 2019. "The Bitcoin mining breakdown: Is mining still profitable?," Economics Letters, Elsevier, vol. 184(C).
    2. Jona Derks & Jaap Gordijn & Arjen Siegmann, 2018. "From chaining blocks to breaking even: A study on the profitability of bitcoin mining from 2012 to 2016," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(3), pages 321-338, August.
    3. Adam Hayes, 2018. "Bitcoin price and its marginal cost of production: support for a fundamental value," Papers 1805.07610, arXiv.org.
    4. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    5. Malfuzi, A. & Mehr, A.S. & Rosen, Marc A. & Alharthi, M. & Kurilova, A.A., 2020. "Economic viability of bitcoin mining using a renewable-based SOFC power system to supply the electrical power demand," Energy, Elsevier, vol. 203(C).
    6. Li, Jingming & Li, Nianping & Peng, Jinqing & Cui, Haijiao & Wu, Zhibin, 2019. "Energy consumption of cryptocurrency mining: A study of electricity consumption in mining cryptocurrencies," Energy, Elsevier, vol. 168(C), pages 160-168.
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