Ethereum’s energy profile has changed dramatically since the Merge, and a new Cambridge University study now places the network near the lower end of energy intensity among major proof-of-stake blockchains. The research by the Cambridge Centre for Alternative Finance estimates that Ethereum consumes about 7.87 gigawatt-hours of electricity annually, while using roughly 33 kilowatt-hours per $1 million of market value.
That figure makes Ethereum the second-lowest proof-of-stake network in the study when energy use is adjusted for market value, behind only BNB Chain. The finding gives investors, policymakers and blockchain analysts a more detailed view of Ethereum’s post-Merge environmental footprint at a time when sustainability remains a key issue for crypto regulation and institutional adoption.
The study also shows a more nuanced picture. Ethereum’s energy intensity appears low relative to its market value, but the network still consumes more electricity overall than most of the proof-of-stake networks assessed. That distinction matters because a large blockchain can be efficient in proportional terms while still having a meaningful absolute energy footprint.
Ethereum’s Post-Merge Energy Profile Comes Into Focus
The Cambridge report provides one of the clearest assessments yet of Ethereum’s electricity consumption after its transition from proof-of-work to proof-of-stake. Before the Merge, Ethereum relied on miners using energy-intensive computing equipment to compete for block production. After the Merge, the network shifted to validators who secure the blockchain by staking Ether.
That change, completed in September 2022, reduced Ethereum’s energy consumption by approximately 99.96%. This remains one of the most important technical and environmental milestones in the history of the network.
The new Cambridge estimates help quantify what Ethereum looks like after that transition. Instead of comparing Ethereum to its former proof-of-work model, the study places it alongside other proof-of-stake networks. That comparison is more relevant for today’s market because Ethereum is now part of the PoS category rather than the mining-based PoW category.
The result is generally favorable for Ethereum. Its electricity use per unit of market value is low compared with several other proof-of-stake chains, suggesting that the network delivers significant economic value relative to its energy consumption.
Annual Electricity Use Estimated at 7.87 GWh
Cambridge estimates that Ethereum activity consumes about 7.87 GWh of electricity per year. In absolute terms, this means Ethereum is not the smallest energy user among the proof-of-stake networks examined. Its size, node count, infrastructure footprint and global distribution all contribute to its annual power demand.
However, the number is small compared with Ethereum’s pre-Merge energy consumption and far below what would be expected from a large proof-of-work blockchain. This is the core environmental benefit of proof-of-stake: network security no longer depends on miners running specialized hardware at massive scale.
The 7.87 GWh estimate provides a measurable benchmark. It helps move the discussion away from broad claims about blockchain energy use and toward specific, network-level assessment.
For regulators and institutions, this type of measurement is important. It allows comparisons between blockchains, helps evaluate sustainability claims and provides a framework for future reporting.
Energy Intensity Looks Low by Market Value
When Cambridge adjusted Ethereum’s electricity use by market value, the network used about 33 kWh per $1 million of market value. This was the second-lowest figure among the proof-of-stake networks assessed, trailing only BNB Chain.
This metric is important because absolute electricity use alone can be misleading. A larger blockchain with more users, higher market value and greater economic activity may consume more total power than a smaller network, but still be more efficient relative to its scale.
Ethereum’s low energy intensity suggests that its market value is high relative to its electricity consumption. In practical terms, the network supports a large digital asset ecosystem, decentralized finance activity, stablecoins, tokenization projects, NFT infrastructure, layer-2 networks and developer activity while maintaining a relatively modest electricity footprint under proof-of-stake.
For investors, this may support the argument that Ethereum’s environmental profile is now more compatible with institutional sustainability mandates than it was during the proof-of-work era.
Solana Used More Electricity in the Study
The study estimated that Solana used the most electricity among the proof-of-stake networks assessed, at about 13.48 GWh per year. Its energy intensity was estimated at roughly 283 kWh per $1 million of market value, about 8.5 times Ethereum’s level.
That comparison may attract attention because Solana is often viewed as a high-performance blockchain designed for speed, throughput and low transaction costs. Higher energy consumption does not automatically mean a network is inefficient in every context, but it does show that different proof-of-stake designs can have different infrastructure footprints.
The Cambridge comparison highlights an important point: proof-of-stake is not a single energy profile. Different networks have different node requirements, hardware assumptions, validator structures, geographic distribution and operational patterns.
Ethereum’s post-Merge model appears relatively low in energy intensity, while Solana’s estimated consumption is higher in both absolute and market-adjusted terms within the study.
PoS Networks Consumed About 38 GWh Combined
The proof-of-stake networks assessed in the Cambridge comparison consumed about 38 GWh of electricity combined. Ethereum accounted for a meaningful share of that total, but not the largest share.
This total is useful because it helps frame the broader environmental footprint of proof-of-stake blockchains. Compared with proof-of-work mining systems, PoS networks generally have far lower electricity requirements. However, they are not energy-free. Nodes, validators, cloud servers, workstations, networking infrastructure and data centers still require power.
The main difference is that proof-of-stake does not require competitive mining. There is no need for a global race to perform energy-intensive calculations simply to secure the chain. Instead, the system relies on economic staking, validator participation and penalties for dishonest behavior.
That architecture is what allows proof-of-stake networks to operate with a much lower electricity profile than proof-of-work systems.
How Cambridge Measured Ethereum’s Power Use
Cambridge measured Ethereum’s electricity use by examining how much power Ethereum nodes consumed at the point of connection across 20 combinations of the network’s main software clients.
The researchers found that a typical home setup used about 18 watts, while a more powerful workstation used roughly 153 watts. These figures show that Ethereum validation and node operation can vary significantly depending on the hardware and environment.
Using Ethereum’s mix of residential and professionally hosted nodes, Cambridge estimated an average power draw of about 105 watts per node. This average reflects the fact that some nodes run on home setups while others operate in cloud or enterprise environments.
The methodology matters because blockchain energy estimates can vary widely depending on assumptions. By looking at node power draw and software client combinations, the study provides a more grounded estimate of Ethereum’s post-Merge footprint.
Ethereum’s Node Network Remains Globally Distributed
Cambridge counted around 8,522 discoverable full nodes on Ethereum. Of those, about 64% were running in cloud or enterprise facilities, while 36% operated through residential connections.
This mix reflects the changing structure of blockchain infrastructure. Ethereum remains open to home node operators, but professional hosting and cloud infrastructure now play a major role in network operations.
The professionalization of nodes can improve reliability, uptime and operational consistency. However, it can also raise questions about centralization, dependence on cloud providers and geographic concentration.
From an energy perspective, professionally hosted nodes may have different power profiles than residential nodes. They may run on more powerful machines or in facilities with different cooling and electricity sourcing. That is why Cambridge’s estimate uses a blended average rather than assuming all nodes are identical.
Emissions Now Depend Mainly on Electricity Sources
The study found that Ethereum’s remaining emissions are now driven mainly by the electricity grids supplying its nodes. This is a major change from the proof-of-work period, when mining hardware and energy competition were the central drivers of consumption.
Cambridge estimated that about 56.4% of Ethereum’s electricity mix came from renewable and nuclear sources, while 43.6% came from fossil fuels.
This means Ethereum’s carbon footprint is now tied less to the consensus mechanism itself and more to where nodes are located and how local grids generate power. If more nodes run in regions with low-carbon electricity, Ethereum’s emissions profile can improve. If more nodes rely on fossil-heavy grids, emissions can remain higher.
For sustainability analysis, this distinction matters. Ethereum has already removed most of the structural energy burden associated with proof-of-work. The remaining environmental question is about electricity sourcing.
The Merge Remains Ethereum’s Sustainability Turning Point
The Merge remains the central event in Ethereum’s sustainability story. By shifting from proof-of-work to proof-of-stake, Ethereum eliminated the need for large-scale mining and cut its energy consumption by approximately 99.96%.
This change addressed one of the most common criticisms of the network. During the proof-of-work era, Ethereum was often grouped with Bitcoin in debates over crypto’s environmental impact. After the Merge, that comparison became less accurate.
Bitcoin still relies on proof-of-work mining, while Ethereum now relies on validators and staking. The two systems have very different energy models.
For institutional investors, this matters because environmental, social and governance considerations can influence portfolio decisions. Ethereum’s lower energy intensity may make it easier for institutions to justify exposure to ETH or Ethereum-based products compared with the pre-Merge period.
Sustainability Could Support Institutional Adoption
The Cambridge study may help Ethereum in discussions with institutional investors, asset managers and regulators. Environmental concerns have long been one of the barriers to broader crypto adoption, especially among institutions with ESG policies.
A low energy-intensity profile gives Ethereum a stronger position in those conversations. It allows supporters to argue that Ethereum’s current infrastructure is not comparable to energy-intensive mining networks.
This does not eliminate every concern. Institutions may still worry about regulation, volatility, custody, smart contract risk, governance and compliance. But energy consumption is less of a weakness than it was before the Merge.
As spot crypto products, tokenized assets and blockchain-based financial infrastructure continue to develop, Ethereum’s sustainability metrics could become part of its competitive positioning.
Policy Debate May Become More Specific
The Cambridge report also helps policymakers move beyond broad generalizations about crypto energy use. Not all blockchains consume energy in the same way. Proof-of-work and proof-of-stake systems have fundamentally different energy requirements, and even PoS networks vary widely among themselves.
This matters for regulation. A policy framework that treats all crypto networks as if they have the same environmental footprint may miss important differences. Ethereum’s post-Merge footprint, for example, looks very different from its pre-Merge footprint.
Policymakers may increasingly distinguish between consensus mechanisms, network size, node distribution, electricity sources and market value when evaluating blockchain sustainability.
The Cambridge study provides data that can support a more detailed and evidence-based debate.
Ethereum Still Has an Absolute Energy Footprint
Although Ethereum ranks near the lower end of energy intensity, the network still uses more electricity overall than most of the proof-of-stake networks studied. This is an important qualification.
A network can be efficient relative to its size but still consume a meaningful amount of electricity in absolute terms. Ethereum’s scale means it supports a large number of nodes, applications and economic activity. That scale naturally produces a larger infrastructure footprint than smaller networks.
For critics, this may remain a concern. For supporters, the relevant point is proportional efficiency: Ethereum’s electricity use appears low compared with the value and activity it supports.
Both interpretations can be valid depending on the metric being used. Absolute consumption matters for emissions. Energy intensity matters for efficiency.
Network Growth Could Change the Numbers
Ethereum’s energy profile is not static. As the network grows, node counts, hosting patterns, validator infrastructure and layer-2 activity can change. If more nodes are added, total electricity use may rise. If hardware becomes more efficient or more nodes use low-power setups, energy intensity may improve.
The same is true for market value. If Ethereum’s market value rises faster than electricity consumption, energy intensity per $1 million of value could fall. If market value declines while infrastructure remains stable, energy intensity could rise.
This makes ongoing measurement important. A single study provides a useful snapshot, but blockchain networks evolve quickly.
Investors and policymakers will need updated estimates over time to understand how Ethereum’s sustainability profile develops.
The first factor to watch is Ethereum’s total electricity consumption as the network grows. If usage increases but power demand remains controlled, it would support the efficiency argument.
The second factor is the network’s electricity mix. A higher share of renewable and nuclear power would improve Ethereum’s emissions profile.
The third factor is the balance between residential and professionally hosted nodes. More cloud and enterprise hosting may improve reliability but could raise centralization and energy-sourcing questions.
The fourth factor is Ethereum’s market value. Since energy intensity is partly measured against valuation, price changes can influence comparative metrics.
The fifth factor is regulatory response. If policymakers use more granular energy data, Ethereum may benefit from its post-Merge efficiency relative to proof-of-work systems.
The Cambridge Centre for Alternative Finance estimates that Ethereum consumes about 7.87 GWh of electricity annually and uses roughly 33 kWh per $1 million of market value. That places Ethereum near the lower end of energy intensity among major proof-of-stake blockchains, second only to BNB Chain in the study.
The findings reinforce the environmental impact of the Merge, which reduced Ethereum’s energy use by approximately 99.96% after the network moved from proof-of-work to proof-of-stake. At the same time, Ethereum still consumes more electricity overall than most of the PoS networks studied, showing that scale remains relevant.
Ethereum’s sustainability profile is now far stronger than it was before the Merge. The network still has an absolute electricity footprint, but its energy intensity relative to market value is low among major proof-of-stake chains. For investors and policymakers, the Cambridge study provides a clearer basis for comparing blockchain energy use and shows why Ethereum’s post-Merge model remains central to its institutional and regulatory case.
