Dogecoin (DOGE) sustainability report
| Name | BlockNodes SAS |
| Relevant legal entity identifier | 969500PZJWT3TD1SUI59 |
| Name of the crypto-asset | Dogecoin |
| Beginning of the period to which the disclosure relates | 2025-09-27 |
| End of the period to which the disclosure relates | 2026-09-27 |
| Energy consumption | 5695213174.37501 kWh/a |
| Renewable energy consumption | 34.2968231710 % |
| Energy intensity | 0.40589 kWh |
| Scope 1 DLT GHG emission - Controlled | 0.00000 tCO2e |
| Scope 2 DLT GHG emission - Purchased | 2434696.76195 tCO2e |
| GHG intensity | 0.16797 kgCO2e |
Consensus Mechanism
Dogecoin is present on the following networks: Dogecoin.
Dogecoin reaches agreement through Proof of Work, the same consensus family Bitcoin belongs to, with parameters chosen for frequent low-value payments. Every full node keeps a complete copy of the ledger and independently checks that each transaction carries valid signatures and spends outputs that have not already been consumed. Mining machines gather checked transactions into candidate blocks and repeatedly hash a block header, varying an arbitrary counter field, until the resulting digest falls beneath the threshold the protocol currently demands. The hash function is Scrypt, chosen because it requires a sizeable working memory buffer rather than raw arithmetic alone. That property once kept general-purpose computers competitive, but purpose-built Scrypt machines have been sold commercially for years and now perform the overwhelming majority of the work, so the practical difference from Bitcoin is the algorithm itself rather than any remaining barrier to specialized equipment.
Blocks target a one-minute interval, and the difficulty threshold is recalculated after every single block by a responsive retargeting rule rather than over the multi-week windows older designs use. This matters because the hash rate defending the chain can move sharply, and per-block retargeting keeps confirmation times steady instead of leaving the chain stalled when a large share of that capacity departs.
The distinctive feature is auxiliary Proof of Work. Since 2014 the network has accepted work performed on Litecoin: a machine hashing a Litecoin header can commit to a Dogecoin block by embedding a reference to it in the Litecoin coinbase, and a solution clearing the Dogecoin threshold is a valid Dogecoin block whether or not it also cleared Litecoin's. Dogecoin is the auxiliary chain in this arrangement and Litecoin the parent. No extra hashing happens for the second chain, so nearly the whole Scrypt market is available to defend Dogecoin and the two chains' hash rates move almost in lockstep.
Security rests on the familiar Proof of Work argument. Rewriting confirmed history means out-hashing everyone else across the span being rewritten, and nodes treat the branch with the greatest accumulated work as authoritative, so competing branches resolve once one pulls ahead. Confirmation is probabilistic and strengthens with depth rather than arriving at a single point of finality.
Incentive Mechanisms and Applicable Fees
Dogecoin is present on the following networks: Dogecoin.
Block production is paid for with newly issued units of the network's native asset. Each accepted block grants its producer a fixed subsidy of 10,000 units, an amount that does not step down on a schedule; the protocol sets no upper bound on the number of units in existence, so issuance continues at a constant rate per block. The producer also keeps the fees attached to every transaction it includes. There is no staking, no delegation and no bonded collateral, and therefore no slashing, jailing or ejection. Participation costs only hardware and electricity, and the sanction for producing an invalid block is that other nodes refuse it and the work spent earns nothing.
Because mining is merged with Litecoin, one unit of Scrypt hashing can earn subsidies and fees on both chains at the same time. What a miner actually collects is the sum across the two, which keeps hashing worthwhile even when either chain's own issuance would not cover running costs alone.
Users meet a simple size-based charge rather than an auction for scarce block space. Fees are quoted per kilobyte of serialized transaction data, the reference client recommends a rate of 0.01 units per kilobyte, and the charge scales with the transaction's actual byte length instead of being rounded up to a whole kilobyte. Wallets may attach more than the recommendation to encourage quicker inclusion, but blocks are rarely full, so under ordinary conditions a transaction paying the standard rate confirms within the next block or two and no meaningful bidding war develops. Relay and mempool acceptance use a floor set below the recommended rate, which allows the recommendation to be revised without every node upgrading first.
Two anti-spam limits apply to very small outputs: those beneath a hard threshold are invalid outright, and those beneath a higher soft threshold attract an extra charge per output. Nothing is burned, so the entire fee reaches the block producer. There is no storage rent, and the network does not run general-purpose contract code, so no per-instruction execution charge exists; what a sender pays depends on how many bytes the transaction occupies, not on computation performed.
Energy consumption sources and methodologies
Dogecoin is present on the following networks: Dogecoin.
The consumption figure reported for this network is a modeled estimate of what its mining fleet draws, not a reading taken at any facility. The estimation approach used here begins from the economics of mining rather than from a count of machines, on the reasoning that the equipment actually powered on at any moment is the equipment whose output covers what it costs to run.
The first step narrows the hardware universe to devices capable of computing the network's hash function, Scrypt; equipment built for other algorithms cannot contribute and is excluded. Published specifications for those devices supply a hash rate and a power draw, and so an efficiency expressed as energy per unit of work. A break-even point is then derived by setting the revenue a unit of hashing earns, taken from subsidies and fees observed on the chain itself, against a representative electricity price and other running costs. Devices whose efficiency leaves them short of that point are assumed to be idle and are dropped from the fleet. The surviving models are assigned shares of the observed total hash rate, and the aggregate draw is the sum of each model's share multiplied by its power characteristics.
Merged mining changes how the result is attributed, and it matters more here than on most chains. This network and Litecoin are secured by one and the same Scrypt work: a miner performs a single set of hashes and submits qualifying solutions to both. Modeling each chain in isolation and adding the two figures would count the same electricity twice. The approach therefore treats the shared hashing as a single pool of consumption and divides it, using the proportion of a miner's revenue each chain supplies as the basis for the split. Since this chain contributes a substantial part of that combined income, the share allocated to it is correspondingly large.
Several caveats belong with the number. The hardware mix is inferred from commercially available and plausibly profitable equipment, not from an inventory; electricity prices and cooling overhead vary widely yet are represented by one assumed value; and the break-even test simplifies decisions taken over longer horizons. Where evidence does not settle a parameter, the assumption chosen is the one that raises the estimate rather than lowering it, so the published figure is likelier to sit above the true value than below it. Figures are restated as hardware and chain observation improve.
Key energy sources and methodologies
Dogecoin is present on the following networks: Dogecoin.
The renewable share reported for this network is derived by locating the infrastructure that consumes its electricity and applying the generation mix of the places where that infrastructure sits. Because consumption on a Proof of Work chain is concentrated in mining equipment rather than in ordinary relay nodes, the geographic question is where that equipment is installed. Locations are inferred from publicly observable network data: addresses and metadata exposed by reachable peers, information published by the pools through which mining work is coordinated, and other public sources, each resolved to a country or region. Direct observation is always incomplete on a Proof of Work chain, since mining machines do not announce themselves and pool operators are under no obligation to disclose where their customers sit. Where a chain's own footprint cannot be established with confidence, the observed distribution of a structurally similar network stands in for it, meaning one whose consensus family and reward structure draw the same kind of operator toward the same kind of electricity. That substitution is unusually well grounded here, because this chain shares its hash power with another Scrypt chain and the two therefore occupy a single geographic footprint by construction.
The resulting country weights are matched to national statistics on how much of each grid's electricity comes from renewable sources, and a weighted average across the footprint gives the share attributed to the network. Those statistics are taken from Share of electricity generated by renewables, compiled from Ember's yearly electricity data together with the Energy Institute's Statistical Review of World Energy, with major processing by Our World in Data.
Energy intensity is reported on a different basis from the annual total. It expresses the marginal energy cost of settling one additional transaction, that is, how much consumption changes when one more transaction is added. On a chain of this kind that marginal quantity is only loosely tied to throughput, because hashing proceeds at the same rate whether blocks are full or nearly empty. The figure is best read as an allocation of a largely fixed consumption across observed activity rather than as energy a single transfer causes to be spent.
Both halves of the calculation carry uncertainty. National averages conceal regional and seasonal variation in generation, and mining capacity is not sited at random within a country, so the renewable share is an approximation whose precision should not be overstated.
Key GHG sources and methodologies
Dogecoin is present on the following networks: Dogecoin.
Emissions attributed to this network are calculated from its estimated electricity consumption and the carbon intensity of the grids that supply it, so the geographic step is the same one used for the renewable share. Mining equipment, not ordinary relay nodes, accounts for essentially all of the electricity, and the question is where that equipment draws power.
Locations are inferred from publicly observable network data, including addresses and metadata advertised by reachable peers and information published by the pools coordinating mining work, and are resolved to countries or regions. Where the footprint cannot be observed with confidence, the distribution of a structurally comparable network is substituted, chosen for a matching consensus family and reward structure. On this chain that substitution is particularly defensible, since its hash power is shared with another Scrypt chain and the two sit on the same physical estate.
The reporting separates the two scopes that apply. Scope 1 covers emissions from sources the operators of the infrastructure control directly, such as fuel burned on site; for a network whose participants run computing equipment on purchased grid power, this is typically nil, and it is reported as such rather than estimated away. Scope 2 covers the indirect emissions embodied in that purchased electricity, and it is where the whole of the network's footprint falls. It is obtained by weighting each region's share of estimated consumption by that region's emissions per unit of electricity generated and summing across the footprint. The carbon intensities used come from Carbon intensity of electricity generation, compiled from Ember's yearly electricity data and the Energy Institute's Statistical Review of World Energy, with major processing by Our World in Data and made available under a CC BY 4.0 license.
Greenhouse gas intensity is expressed per transaction, as the marginal emission associated with settling one more transaction. It inherits every uncertainty in the consumption estimate and adds the grid figures' own: national intensities are annual averages that hide seasonal and hourly swings, and mining is not distributed evenly within a country. Where a parameter is unresolved the conservative choice is taken, which tends to overstate rather than understate the result, and the figures are revised as observation improves.