Nvidia GeForce RTX 3050 — Minería
Nvidia GeForce RTX 3050 genera hasta $0.03 al día, mejor minando Octopus a 23.89169 Mh/s. También disponible: alquiler de IA a $0.01/h ($0.14/día) and venta de hashpower KAWPOW ($0.19/día). Consume 132 W de la red — a $0.10/kWh, rentable a los precios actuales.
Nvidia GeForce RTX 3050 mina Octopus con la mayor eficiencia. Esta página incluye la tabla completa de algoritmos, opciones de minería fusionada, pools recomendados y un gráfico de historial de pagos que puedes cambiar haciendo clic en cualquier fila.
Proyección diaria
Ganadores diarios entre todos los streams — promediados del historial registrado del rig a $0.1/kWh
| Período | /Día | /Mes |
|---|---|---|
| Ingresos | $0.35 | $10.45 |
|
Costo
$0.1/kWh
|
$0.32 | $9.60 |
| Ganancia | $0.03 | $0.85 |
Historial de pagos por algoritmo ▶ Octopus
Beneficio neto $/día si minas este algoritmo continuamente a $0.1/kWh. Haz clic en cualquier algoritmo arriba para cambiar.
Proyección diaria
| Período | /Día | /Mes |
|---|---|---|
| Ingresos | $0.35 | $10.50 |
|
Costo
$0.1/kWh
|
$0.32 | $9.60 |
| Ganancia | $0.03 | $0.90 |
| Coin | Algorithm | Ingresos | Costo | Ganancia |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
23.89169Mh · 132.0W
|
$0.35 | $0.32 | $0.03 |
|
BEAM
⚠
Beam
|
BeamHashIII
16Hh · 124.0W
|
$0.07 | $0.30 | $-0.23 |
|
AE
⚠
Aeternity
|
CuckooCycle
4Hh · 116.0W
|
$0.06 | $0.28 | $-0.22 |
|
RVN
Ravencoin
|
KAWPOW
12.3Mh · 129.0W
|
$0.05 | $0.31 | $-0.26 |
ERG
⚠
Ergo
|
Autolykos2
79.83Mh · 60.0W
|
$0.05 | $0.14 | $-0.09 |
|
ETC
Ethereum Classic
|
Etchash
23.202878Mh · 75.0W
|
$0.02 | $0.18 | $-0.16 |
NEXA
⚠
Nexa
|
NexaPoW
8.085Mh · 86.0W
|
— | $0.21 | — |
|
MONA
⚠
Monacoin
|
Lyra2REv2
41.2638Mh · 126.0W
|
— | $0.30 | — |
IRON
⚠
Iron Fish
|
IronFish
5Gh · 50.0W
|
— | $0.12 | — |
KAS
Kaspa
|
KHeavyHash
265.066256Mh · 115.0W
|
— | $0.28 | — |
|
BTC
Bitcoin
|
Sha256
300Mh · 50.0W
|
— | $0.12 | — |
|
—
|
Astralhash
11.5656Mh · 75.0W
|
— | $0.18 | — |
|
—
|
HeavyHash
208.0494Mh · 69.0W
|
— | $0.17 | — |
|
VTC
⚠
Vertcoin
|
Lyra2REv3
39.65145Mh · 132.0W
|
— | $0.32 | — |
|
—
|
NIST5
20.26063Mh · 130.0W
|
— | $0.31 | — |
|
—
|
Ethash
23.202878Mh · 75.0W
|
— | $0.18 | — |
|
—
|
Memehash
13.5Mh · 100.0W
|
— | $0.24 | — |
|
—
|
Cuckarood29
1.124Hh · 95.0W
|
— | $0.23 | — |
|
—
|
XelisHashV2
1.4Gh · 140.0W
|
— | $0.34 | — |
|
—
|
Equihash+Scrypt
21.188Kh · 128.0W
|
— | $0.31 | — |
|
—
|
Equihash(144,5)
36Hh · 130.0W
|
— | $0.31 | — |
|
—
|
Equihash(210,9)
180Hh · 121.0W
|
— | $0.29 | — |
|
—
|
Equihash(192,7)
17Hh · 108.0W
|
— | $0.26 | — |
|
—
|
C11
11.754Mh · 86.0W
|
— | $0.21 | — |
|
—
|
X16R
10.33799Mh · 107.0W
|
— | $0.26 | — |
|
—
|
Keccak
604.42849Mh · 108.0W
|
— | $0.26 | — |
|
—
|
PHI1612
11.4209Mh · 89.0W
|
— | $0.21 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
30Hh · 113.0W
|
— | $0.27 | — |
|
—
|
Skein2
60.758816406Gh · 124.0W
|
— | $0.30 | — |
|
—
|
Argon2d4096
24.939Kh · 123.0W
|
— | $0.30 | — |
|
GRIN
⚠
Grin
|
Cuckatoo32
2.5Hh · 70.0W
|
— | $0.17 | — |
|
—
|
BCD
8.670626Mh · 86.0W
|
— | $0.21 | — |
|
—
|
X16RT
7.6345Mh · 109.0W
|
— | $0.26 | — |
|
—
|
CNReverseWaltz
1.0615Kh · 96.0W
|
— | $0.23 | — |
|
—
|
CryptoNightGPU
1.5Kh · 100.0W
|
— | $0.24 | — |
|
—
|
Ton
1.4Gh · 140.0W
|
— | $0.34 | — |
|
—
|
Blake (2s)
3.319251631Gh · 109.0W
|
— | $0.26 | — |
|
—
|
HMQ1725
4.66437Mh · 115.0W
|
— | $0.28 | — |
|
—
|
Keccak-C
601.31338Mh · 109.0W
|
— | $0.26 | — |
|
—
|
Curvehash
1.7011Mh · 79.0W
|
— | $0.19 | — |
FIRO
Firo
|
FiroPoW
12.752Mh · 129.0W
|
— | $0.31 | — |
|
—
|
X25X
962.23Kh · 69.0W
|
— | $0.17 | — |
|
—
|
Ubqhash
26.19577Mh · 115.0W
|
— | $0.28 | — |
|
—
|
PyrinHash
1.8Gh · 50.0W
|
— | $0.12 | — |
|
—
|
X16Rv2
7.1533Mh · 108.0W
|
— | $0.26 | — |
|
—
|
Xevan
4.02172Mh · 129.0W
|
— | $0.31 | — |
|
—
|
DynexSolve
2Kh · 60.0W
|
— | $0.14 | — |
|
—
|
Qhash
55Mh · 50.0W
|
— | $0.12 | — |
|
—
|
KarlsenHashV2
400Mh · 50.0W
|
— | $0.12 | — |
|
—
|
Meraki
26.5Mh · 80.0W
|
— | $0.19 | — |
|
FTC
⚠
Feathercoin
|
NeoScrypt
858.11Kh · 128.0W
|
— | $0.31 | — |
|
—
|
SHA256DT
974.038Mh · 122.0W
|
— | $0.29 | — |
|
—
|
GhostRider
643Hh · 79.0W
|
— | $0.19 | — |
|
—
|
Equihash(125,4)
20Hh · 118.0W
|
— | $0.28 | — |
|
—
|
Radiant
375.818Kh · 114.0W
|
— | $0.27 | — |
|
—
|
EvrProgPow
26.5Mh · 80.0W
|
— | $0.19 | — |
|
—
|
Skydoge
300.0Mh · 50.0W
|
— | $0.12 | — |
|
—
|
Blake3
34.0Mh · 90.0W
|
— | $0.22 | — |
|
VRSC
⚠
Verus
|
VerusHash
5.1449Mh · 100.0W
|
— | $0.24 | — |
ACM
⚠
Actinium
|
Lyra2z
2.50804Mh · 75.0W
|
— | $0.18 | — |
|
—
|
ProgPowSERO
13.111107Mh · 132.0W
|
— | $0.32 | — |
|
—
|
ProgPowZ
13.088639Mh · 132.0W
|
— | $0.32 | — |
|
—
|
Abelhash
29Mh · 80.0W
|
— | $0.19 | — |
|
—
|
X21S
5.2701Mh · 102.0W
|
— | $0.24 | — |
|
—
|
zkSNARK
220.0Mh · 50.0W
|
— | $0.12 | — |
|
—
|
X15
7.99385Mh · 117.0W
|
— | $0.28 | — |
|
—
|
Hoohash
110Mh · 50.0W
|
— | $0.12 | — |
| Pool | Algoritmos soportados | Comisión | |
|---|---|---|---|
|
|
CuckooCycle (AE) · BeamHashIII (BEAM) · Autolykos2 (ERG) | 1.0% | Visit → |
HeroMiners
|
BeamHashIII (BEAM) · Autolykos2 (ERG) · Etchash (ETC) | 0.9% | Visit → |
|
★
K1Pool
|
Sha256 (BTC) · Autolykos2 (ERG) · Etchash (ETC) | 1.0% | Visit → |
Rplant
|
FiroPoW (FIRO) · NexaPoW (NEXA) | 1.0% | Visit → |
| Proveedor | GPU | Ingresos | Costo | Ganancia |
|---|---|---|---|---|
|
Clore Ai
Mercado de GPU
|
RTX 3050
$0.009/h ·
1 oferta
|
$0.18
96.66 CLORE/day
1 CLORE ≈ $0.00184
|
$0.32 |
$-0.14
★
Visitar →
|
Flujo de ingresos Cómo Nvidia GeForce RTX 3050 gana en el mercado de GPU para IA how we got $-0.14/day · ▾
Nvidia GeForce RTX 3050 gana $0.03/día minando Octopus, que supera los $-0.14/día que obtendrías alquilando en mercados IA. Las tarifas cambian a diario; conviene revisar con frecuencia.
Historial de ingresos netos por alquiler
| Período | /Día | /Mes |
|---|---|---|
| Ingresos | $0.18 | $5.40 |
|
Costo
$0.1/kWh
|
$0.32 | $9.60 |
| Ganancia | $-0.14 | $-4.20 |
Historial de ingresos netos por hashmarket
| Período | /Día | /Mes |
|---|---|---|
| Ingresos | $0.13 | $3.88 |
|
Costo
$0.1/kWh
|
$0.32 | $9.60 |
| Ganancia | $-0.19 | $-5.72 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Periodo de recuperación para Nvidia GeForce RTX 3050
Modela la recuperación de la inversión, el coste eléctrico y la rentabilidad del primer año para este equipo.
Hardware recuperado cuando la línea cruza cero. Después, todo ganancia.
| Month | Earned (mo) | Cost burned (mo) | Cumulative earned | Cumulative cost | Net | % ROI |
|---|
Emisiones anuales por fuente
Basado en el consumo eléctrico anual y la intensidad de carbono de redes comunes.
| Fuente de energía | CO₂e / año |
|---|---|
| Wind | 12.55 kg |
| Nuclear | 13.69 kg |
| Hydroelectric | 27.37 kg |
| Geothermal | 43.34 kg |
| Solar | 51.32 kg |
| Biofuels | 262.31 kg |
| Gas | 558.84 kg |
| Coal | 935.19 kg |
Solo estimaciones — las emisiones reales varían.
¿Qué significa eso realmente?
At the world-average grid intensity of about 475 g CO₂e/kWh, Nvidia GeForce RTX 3050 running 24/7 for a year releases about 542 kg of carbon dioxide equivalent. Here's what that looks like in everyday terms:
Dónde lo enchufas importa
Electricity is not one thing. A kilowatt-hour from a coal plant carries roughly 820 g of CO₂; the same kilowatt-hour from a hydro reservoir carries about 24 g. That's a 34× difference — large enough that Nvidia GeForce RTX 3050's annual footprint swings from roughly 935 kg on coal-heavy grids down to about 27 kg on hydro-dominated grids. The single biggest lever a miner has on their carbon footprint is choosing where to plug in.
Regions commonly used for low-carbon crypto mining include Quebec and British Columbia (hydro-dominated, typically <50 g CO₂/kWh), Iceland and Norway (geothermal + hydro, often <30 g), Paraguay (Itaipú hydro), and parts of the US Pacific Northwest. Coal-heavy grids — Kazakhstan, Inner Mongolia, Poland, parts of Australia — sit at the opposite end, often above 700 g CO₂/kWh.
Some operators also reduce their net impact by using otherwise-wasted energy: flare gas at oil wells (burning methane that would be vented anyway), curtailed renewables (wind or solar that the grid can't absorb), or behind-the-meter hydro during off-peak hours. These arrangements can drop effective emissions below the local grid average because the energy would have been wasted or flared without the mining load.
Cómo reducir la huella de este equipo
- Pick a greener ASIC. The efficiency column above matters as much as the grid: a 15 J/TH rig emits roughly half the CO₂ of a 30 J/TH rig for the same hashrate.
- Choose a low-carbon host. Data centres advertising hydro, geothermal, or nuclear power typically sit at <100 g CO₂/kWh.
- Look for stranded or curtailed energy. Flare-gas miners, wind-curtailment co-location, and off-peak hydro arrangements use energy that would otherwise be wasted.
- Use heat recovery. Capturing the heat for greenhouse agriculture, pool heating, or district warmth offsets fossil-fuel heating that would have been burned anyway.
- Time-shift your uptime. In grids with high daytime solar, running more during the day and less at night lowers your effective intensity even if you don't switch providers.
- Purchase verifiable offsets. Treat this as a last resort, not a substitute — and favour additional, permanent, third-party-verified projects (Gold Standard, Verra VCS).
Preguntas frecuentes
Yearly electricity use = rig power (W) × 24 × 365 ÷ 1000. We multiply that by each row's grid intensity in grams CO₂-equivalent per kWh and convert to kilograms. Intensities are representative averages — real emissions depend on your specific utility mix, time of day, and local transmission losses.
It depends almost entirely on where the electricity comes from. A single rig plugged into hydro in Quebec emits less over a year than an average family's two cars in a month. The same rig on a coal-dominated grid can exceed that in a few days. The hardware is the same — the grid is what changes the answer.
Network-wide estimates vary by methodology; the Cambridge Centre for Alternative Finance's Bitcoin Electricity Consumption Index is the most widely cited reference. As of recent reporting, the network's sustainable-energy share has grown as more hashrate migrates to hydro, wind, solar, and stranded-gas sites. This page just estimates a single rig — for the big picture, CCAF's dashboard is the best source.
Not directly. The rig draws the same wattage regardless of which pool it joins or how difficulty trends — so its electricity use, and therefore its emissions, stay constant. Those factors change revenue, not power consumption.
Proyección diaria
Ganadores diarios entre todos los streams — promediados del historial registrado del rig a $0.1/kWh
| Período | /Día | /Mes |
|---|---|---|
| Ingresos | $0.35 | $10.45 |
|
Costo
$0.1/kWh
|
$0.32 | $9.60 |
| Ganancia | $0.03 | $0.85 |
Historial de pagos por algoritmo ▶ Octopus
Beneficio neto $/día si minas este algoritmo continuamente a $0.1/kWh. Haz clic en cualquier algoritmo arriba para cambiar.
Proyección diaria
| Período | /Día | /Mes |
|---|---|---|
| Ingresos | $0.35 | $10.50 |
|
Costo
$0.1/kWh
|
$0.32 | $9.60 |
| Ganancia | $0.03 | $0.90 |
| Coin | Algorithm | Ingresos | Costo | Ganancia |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
23.89169Mh · 132.0W
|
$0.35 | $0.32 | $0.03 |
|
BEAM
⚠
Beam
|
BeamHashIII
16Hh · 124.0W
|
$0.07 | $0.30 | $-0.23 |
|
AE
⚠
Aeternity
|
CuckooCycle
4Hh · 116.0W
|
$0.06 | $0.28 | $-0.22 |
|
RVN
Ravencoin
|
KAWPOW
12.3Mh · 129.0W
|
$0.05 | $0.31 | $-0.26 |
ERG
⚠
Ergo
|
Autolykos2
79.83Mh · 60.0W
|
$0.05 | $0.14 | $-0.09 |
|
ETC
Ethereum Classic
|
Etchash
23.202878Mh · 75.0W
|
$0.02 | $0.18 | $-0.16 |
NEXA
⚠
Nexa
|
NexaPoW
8.085Mh · 86.0W
|
— | $0.21 | — |
|
MONA
⚠
Monacoin
|
Lyra2REv2
41.2638Mh · 126.0W
|
— | $0.30 | — |
IRON
⚠
Iron Fish
|
IronFish
5Gh · 50.0W
|
— | $0.12 | — |
KAS
Kaspa
|
KHeavyHash
265.066256Mh · 115.0W
|
— | $0.28 | — |
|
BTC
Bitcoin
|
Sha256
300Mh · 50.0W
|
— | $0.12 | — |
|
—
|
Astralhash
11.5656Mh · 75.0W
|
— | $0.18 | — |
|
—
|
HeavyHash
208.0494Mh · 69.0W
|
— | $0.17 | — |
|
VTC
⚠
Vertcoin
|
Lyra2REv3
39.65145Mh · 132.0W
|
— | $0.32 | — |
|
—
|
NIST5
20.26063Mh · 130.0W
|
— | $0.31 | — |
|
—
|
Ethash
23.202878Mh · 75.0W
|
— | $0.18 | — |
|
—
|
Memehash
13.5Mh · 100.0W
|
— | $0.24 | — |
|
—
|
Cuckarood29
1.124Hh · 95.0W
|
— | $0.23 | — |
|
—
|
XelisHashV2
1.4Gh · 140.0W
|
— | $0.34 | — |
|
—
|
Equihash+Scrypt
21.188Kh · 128.0W
|
— | $0.31 | — |
|
—
|
Equihash(144,5)
36Hh · 130.0W
|
— | $0.31 | — |
|
—
|
Equihash(210,9)
180Hh · 121.0W
|
— | $0.29 | — |
|
—
|
Equihash(192,7)
17Hh · 108.0W
|
— | $0.26 | — |
|
—
|
C11
11.754Mh · 86.0W
|
— | $0.21 | — |
|
—
|
X16R
10.33799Mh · 107.0W
|
— | $0.26 | — |
|
—
|
Keccak
604.42849Mh · 108.0W
|
— | $0.26 | — |
|
—
|
PHI1612
11.4209Mh · 89.0W
|
— | $0.21 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
30Hh · 113.0W
|
— | $0.27 | — |
|
—
|
Skein2
60.758816406Gh · 124.0W
|
— | $0.30 | — |
|
—
|
Argon2d4096
24.939Kh · 123.0W
|
— | $0.30 | — |
|
GRIN
⚠
Grin
|
Cuckatoo32
2.5Hh · 70.0W
|
— | $0.17 | — |
|
—
|
BCD
8.670626Mh · 86.0W
|
— | $0.21 | — |
|
—
|
X16RT
7.6345Mh · 109.0W
|
— | $0.26 | — |
|
—
|
CNReverseWaltz
1.0615Kh · 96.0W
|
— | $0.23 | — |
|
—
|
CryptoNightGPU
1.5Kh · 100.0W
|
— | $0.24 | — |
|
—
|
Ton
1.4Gh · 140.0W
|
— | $0.34 | — |
|
—
|
Blake (2s)
3.319251631Gh · 109.0W
|
— | $0.26 | — |
|
—
|
HMQ1725
4.66437Mh · 115.0W
|
— | $0.28 | — |
|
—
|
Keccak-C
601.31338Mh · 109.0W
|
— | $0.26 | — |
|
—
|
Curvehash
1.7011Mh · 79.0W
|
— | $0.19 | — |
FIRO
Firo
|
FiroPoW
12.752Mh · 129.0W
|
— | $0.31 | — |
|
—
|
X25X
962.23Kh · 69.0W
|
— | $0.17 | — |
|
—
|
Ubqhash
26.19577Mh · 115.0W
|
— | $0.28 | — |
|
—
|
PyrinHash
1.8Gh · 50.0W
|
— | $0.12 | — |
|
—
|
X16Rv2
7.1533Mh · 108.0W
|
— | $0.26 | — |
|
—
|
Xevan
4.02172Mh · 129.0W
|
— | $0.31 | — |
|
—
|
DynexSolve
2Kh · 60.0W
|
— | $0.14 | — |
|
—
|
Qhash
55Mh · 50.0W
|
— | $0.12 | — |
|
—
|
KarlsenHashV2
400Mh · 50.0W
|
— | $0.12 | — |
|
—
|
Meraki
26.5Mh · 80.0W
|
— | $0.19 | — |
|
FTC
⚠
Feathercoin
|
NeoScrypt
858.11Kh · 128.0W
|
— | $0.31 | — |
|
—
|
SHA256DT
974.038Mh · 122.0W
|
— | $0.29 | — |
|
—
|
GhostRider
643Hh · 79.0W
|
— | $0.19 | — |
|
—
|
Equihash(125,4)
20Hh · 118.0W
|
— | $0.28 | — |
|
—
|
Radiant
375.818Kh · 114.0W
|
— | $0.27 | — |
|
—
|
EvrProgPow
26.5Mh · 80.0W
|
— | $0.19 | — |
|
—
|
Skydoge
300.0Mh · 50.0W
|
— | $0.12 | — |
|
—
|
Blake3
34.0Mh · 90.0W
|
— | $0.22 | — |
|
VRSC
⚠
Verus
|
VerusHash
5.1449Mh · 100.0W
|
— | $0.24 | — |
ACM
⚠
Actinium
|
Lyra2z
2.50804Mh · 75.0W
|
— | $0.18 | — |
|
—
|
ProgPowSERO
13.111107Mh · 132.0W
|
— | $0.32 | — |
|
—
|
ProgPowZ
13.088639Mh · 132.0W
|
— | $0.32 | — |
|
—
|
Abelhash
29Mh · 80.0W
|
— | $0.19 | — |
|
—
|
X21S
5.2701Mh · 102.0W
|
— | $0.24 | — |
|
—
|
zkSNARK
220.0Mh · 50.0W
|
— | $0.12 | — |
|
—
|
X15
7.99385Mh · 117.0W
|
— | $0.28 | — |
|
—
|
Hoohash
110Mh · 50.0W
|
— | $0.12 | — |
| Pool | Algoritmos soportados | Comisión | |
|---|---|---|---|
|
|
CuckooCycle (AE) · BeamHashIII (BEAM) · Autolykos2 (ERG) | 1.0% | Visit → |
HeroMiners
|
BeamHashIII (BEAM) · Autolykos2 (ERG) · Etchash (ETC) | 0.9% | Visit → |
|
★
K1Pool
|
Sha256 (BTC) · Autolykos2 (ERG) · Etchash (ETC) | 1.0% | Visit → |
Rplant
|
FiroPoW (FIRO) · NexaPoW (NEXA) | 1.0% | Visit → |
| Proveedor | GPU | Ingresos | Costo | Ganancia |
|---|---|---|---|---|
|
Clore Ai
Mercado de GPU
|
RTX 3050
$0.009/h ·
1 oferta
|
$0.18
96.66 CLORE/day
1 CLORE ≈ $0.00184
|
$0.32 |
$-0.14
★
Visitar →
|
Flujo de ingresos Cómo Nvidia GeForce RTX 3050 gana en el mercado de GPU para IA how we got $-0.14/day · ▾
Nvidia GeForce RTX 3050 gana $0.03/día minando Octopus, que supera los $-0.14/día que obtendrías alquilando en mercados IA. Las tarifas cambian a diario; conviene revisar con frecuencia.
Historial de ingresos netos por alquiler
| Período | /Día | /Mes |
|---|---|---|
| Ingresos | $0.18 | $5.40 |
|
Costo
$0.1/kWh
|
$0.32 | $9.60 |
| Ganancia | $-0.14 | $-4.20 |
Historial de ingresos netos por hashmarket
| Período | /Día | /Mes |
|---|---|---|
| Ingresos | $0.13 | $3.88 |
|
Costo
$0.1/kWh
|
$0.32 | $9.60 |
| Ganancia | $-0.19 | $-5.72 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Periodo de recuperación para Nvidia GeForce RTX 3050
Modela la recuperación de la inversión, el coste eléctrico y la rentabilidad del primer año para este equipo.
Hardware recuperado cuando la línea cruza cero. Después, todo ganancia.
| Month | Earned (mo) | Cost burned (mo) | Cumulative earned | Cumulative cost | Net | % ROI |
|---|
Emisiones anuales por fuente
Basado en el consumo eléctrico anual y la intensidad de carbono de redes comunes.
| Fuente de energía | CO₂e / año |
|---|---|
| Wind | 12.55 kg |
| Nuclear | 13.69 kg |
| Hydroelectric | 27.37 kg |
| Geothermal | 43.34 kg |
| Solar | 51.32 kg |
| Biofuels | 262.31 kg |
| Gas | 558.84 kg |
| Coal | 935.19 kg |
Solo estimaciones — las emisiones reales varían.
¿Qué significa eso realmente?
At the world-average grid intensity of about 475 g CO₂e/kWh, Nvidia GeForce RTX 3050 running 24/7 for a year releases about 542 kg of carbon dioxide equivalent. Here's what that looks like in everyday terms:
Dónde lo enchufas importa
Electricity is not one thing. A kilowatt-hour from a coal plant carries roughly 820 g of CO₂; the same kilowatt-hour from a hydro reservoir carries about 24 g. That's a 34× difference — large enough that Nvidia GeForce RTX 3050's annual footprint swings from roughly 935 kg on coal-heavy grids down to about 27 kg on hydro-dominated grids. The single biggest lever a miner has on their carbon footprint is choosing where to plug in.
Regions commonly used for low-carbon crypto mining include Quebec and British Columbia (hydro-dominated, typically <50 g CO₂/kWh), Iceland and Norway (geothermal + hydro, often <30 g), Paraguay (Itaipú hydro), and parts of the US Pacific Northwest. Coal-heavy grids — Kazakhstan, Inner Mongolia, Poland, parts of Australia — sit at the opposite end, often above 700 g CO₂/kWh.
Some operators also reduce their net impact by using otherwise-wasted energy: flare gas at oil wells (burning methane that would be vented anyway), curtailed renewables (wind or solar that the grid can't absorb), or behind-the-meter hydro during off-peak hours. These arrangements can drop effective emissions below the local grid average because the energy would have been wasted or flared without the mining load.
Cómo reducir la huella de este equipo
- Pick a greener ASIC. The efficiency column above matters as much as the grid: a 15 J/TH rig emits roughly half the CO₂ of a 30 J/TH rig for the same hashrate.
- Choose a low-carbon host. Data centres advertising hydro, geothermal, or nuclear power typically sit at <100 g CO₂/kWh.
- Look for stranded or curtailed energy. Flare-gas miners, wind-curtailment co-location, and off-peak hydro arrangements use energy that would otherwise be wasted.
- Use heat recovery. Capturing the heat for greenhouse agriculture, pool heating, or district warmth offsets fossil-fuel heating that would have been burned anyway.
- Time-shift your uptime. In grids with high daytime solar, running more during the day and less at night lowers your effective intensity even if you don't switch providers.
- Purchase verifiable offsets. Treat this as a last resort, not a substitute — and favour additional, permanent, third-party-verified projects (Gold Standard, Verra VCS).
Preguntas frecuentes
Yearly electricity use = rig power (W) × 24 × 365 ÷ 1000. We multiply that by each row's grid intensity in grams CO₂-equivalent per kWh and convert to kilograms. Intensities are representative averages — real emissions depend on your specific utility mix, time of day, and local transmission losses.
It depends almost entirely on where the electricity comes from. A single rig plugged into hydro in Quebec emits less over a year than an average family's two cars in a month. The same rig on a coal-dominated grid can exceed that in a few days. The hardware is the same — the grid is what changes the answer.
Network-wide estimates vary by methodology; the Cambridge Centre for Alternative Finance's Bitcoin Electricity Consumption Index is the most widely cited reference. As of recent reporting, the network's sustainable-energy share has grown as more hashrate migrates to hydro, wind, solar, and stranded-gas sites. This page just estimates a single rig — for the big picture, CCAF's dashboard is the best source.
Not directly. The rig draws the same wattage regardless of which pool it joins or how difficulty trends — so its electricity use, and therefore its emissions, stay constant. Those factors change revenue, not power consumption.