Apoorv Lal · Proceedings of the National Academy of Sciences 2023 · Techno-economic and environmental modeling study · n=?

Climate concerns and the future of nonfungible tokens: Leveraging environmental benefits of the Ethereum Merge

Cited 17 times in the scientific literature.

Level 5 - mechanism / opinion, no new human data

Computational environmental modeling and scenario analysis (analogy to non-clinical CEBM Level 5)

OpenAlex W4383753079 · doi:10.1073/pnas.2303109120 · record verified 2026-08-31

What was done

The authors conducted an environmental and energy systems analysis to estimate greenhouse gas (GHG) emissions associated with nonfungible token (NFT) transactions following Ethereum's transition from proof-of-work (PoW) to proof-of-stake (PoS). They modeled projected carbon emissions through the end of the decade and evaluated potential mitigation pathways using curtailed or underutilized renewable energy sources in the United States.

What was found

NFTs were estimated to generate yearly GHG emissions reaching up to 18% of peak emissions under the former PoW mechanism. This trajectory projects a cumulative carbon debt of 4.56 Mt CO2-eq by the end of the decade (equivalent to annual CO2 emissions from a 600-MW coal-fired power plant powering residential North Dakota). Modeling indicates that utilizing 15% of curtailed solar and wind energy in Texas or 50 MW of potential hydropower from existing nonpowered dams could power projected NFT transaction growth sustainably.

Why it matters

While blockchain consensus upgrades significantly reduce operational energy intensity, expanding transaction volumes still carry notable carbon footprints. This work identifies specific renewable energy capture strategies (such as utilizing curtailed grid capacity) to decouple digital asset expansion from fossil fuel power generation.

Limits

The abstract relies on projected adoption trajectories and regional grid emission factors that may change over time. It does not report empirical validation against actual post-Merge network transaction measurements, nor does it evaluate economic, transmission, or regulatory barriers to co-locating computational infrastructure with curtailed renewable assets.

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