Nvidia GeForce RTX 3050 — 挖矿
Nvidia GeForce RTX 3050 每天净赚 $0.03 挖 Octopus 算力 23.89169 Mh/s 功耗 132.0 W. 这是在扣除 $0.1/kWh 电费后的结果 — 按当前行情有利润。
Nvidia GeForce RTX 3050 挖 Octopus 效率最高。本页包含完整的算法排行榜、联合挖矿选项、推荐矿池,以及可点击任意一行切换的历史收益图表。
每日预测
每日各收入流的胜出值 — 来自该矿机的历史记录,在 $0.1/kWh 下计算的平均值
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.35 | $10.41 |
|
成本
$0.1/kWh
|
$0.32 | $9.60 |
| 利润 | $0.03 | $0.81 |
算法收益历史 ▶ Octopus
若以 $0.1/kWh 持续挖该算法,每日净收益 $/天。点击上方任意算法可切换。
每日预测
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.35 | $10.50 |
|
成本
$0.1/kWh
|
$0.32 | $9.60 |
| 利润 | $0.03 | $0.90 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
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 |
ERG
⚠
Ergo
|
Autolykos2
79.83Mh · 60.0W
|
$0.05 | $0.14 | $-0.09 |
|
RVN
Ravencoin
|
KAWPOW
12.3Mh · 129.0W
|
$0.04 | $0.31 | $-0.27 |
|
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 | — |
|
—
|
Hoohash
110Mh · 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 | — |
|
VRSC
⚠
Verus
|
VerusHash
5.1449Mh · 100.0W
|
— | $0.24 | — |
|
—
|
Blake3
34.0Mh · 90.0W
|
— | $0.22 | — |
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 | — |
| 平台 | GPU | 收入 | 成本 | 利润 |
|---|---|---|---|---|
|
Clore Ai
GPU 市场
|
RTX 3050
$0.009/h ·
1 个报价
|
$0.18
96.54 CLORE/day
1 CLORE ≈ $0.00184
|
$0.32 |
$-0.14
★
访问 →
|
收入流 Nvidia GeForce RTX 3050 在 AI GPU 出租市场上的收益路径 how we got $-0.14/day · ▾
Nvidia GeForce RTX 3050 挖 Octopus 每日 $0.03,目前仍高于 AI 市场出租的 $-0.14/日。出租费率每日变动,建议经常复查。
净租赁收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.18 | $5.40 |
|
成本
$0.1/kWh
|
$0.32 | $9.60 |
| 利润 | $-0.14 | $-4.20 |
净算力市场收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.13 | $3.88 |
|
成本
$0.1/kWh
|
$0.32 | $9.60 |
| 利润 | $-0.19 | $-5.72 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia GeForce RTX 3050 的回本周期
测算此设备的回本周期、电费和首年收益。
曲线穿过零点即回本。之后全是利润。
| Month | Earned (mo) | Cost burned (mo) | Cumulative earned | Cumulative cost | Net | % ROI |
|---|
按能源来源的年度排放
基于年度耗电量和常见电网的碳强度。
| 能源来源 | CO₂e / 年 |
|---|---|
| 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 |
仅为估算 — 实际排放因硬件、冷却和电网而异。
这意味着什么?
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:
你在哪里接电很重要
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.
如何减少该矿机的碳足迹
- 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).
常见问题
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.
每日预测
每日各收入流的胜出值 — 来自该矿机的历史记录,在 $0.1/kWh 下计算的平均值
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.35 | $10.41 |
|
成本
$0.1/kWh
|
$0.32 | $9.60 |
| 利润 | $0.03 | $0.81 |
算法收益历史 ▶ Octopus
若以 $0.1/kWh 持续挖该算法,每日净收益 $/天。点击上方任意算法可切换。
每日预测
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.35 | $10.50 |
|
成本
$0.1/kWh
|
$0.32 | $9.60 |
| 利润 | $0.03 | $0.90 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
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 |
ERG
⚠
Ergo
|
Autolykos2
79.83Mh · 60.0W
|
$0.05 | $0.14 | $-0.09 |
|
RVN
Ravencoin
|
KAWPOW
12.3Mh · 129.0W
|
$0.04 | $0.31 | $-0.27 |
|
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 | — |
|
—
|
Hoohash
110Mh · 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 | — |
|
VRSC
⚠
Verus
|
VerusHash
5.1449Mh · 100.0W
|
— | $0.24 | — |
|
—
|
Blake3
34.0Mh · 90.0W
|
— | $0.22 | — |
ACM
⚠
Actinium
|
Lyra2z
2.50804Mh · 75.0W
|
— | $0.18 | — |
|
—
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ProgPowSERO
13.111107Mh · 132.0W
|
— | $0.32 | — |
|
—
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ProgPowZ
13.088639Mh · 132.0W
|
— | $0.32 | — |
|
—
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Abelhash
29Mh · 80.0W
|
— | $0.19 | — |
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—
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X21S
5.2701Mh · 102.0W
|
— | $0.24 | — |
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—
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zkSNARK
220.0Mh · 50.0W
|
— | $0.12 | — |
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—
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X15
7.99385Mh · 117.0W
|
— | $0.28 | — |
| 平台 | GPU | 收入 | 成本 | 利润 |
|---|---|---|---|---|
|
Clore Ai
GPU 市场
|
RTX 3050
$0.009/h ·
1 个报价
|
$0.18
96.54 CLORE/day
1 CLORE ≈ $0.00184
|
$0.32 |
$-0.14
★
访问 →
|
收入流 Nvidia GeForce RTX 3050 在 AI GPU 出租市场上的收益路径 how we got $-0.14/day · ▾
Nvidia GeForce RTX 3050 挖 Octopus 每日 $0.03,目前仍高于 AI 市场出租的 $-0.14/日。出租费率每日变动,建议经常复查。
净租赁收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.18 | $5.40 |
|
成本
$0.1/kWh
|
$0.32 | $9.60 |
| 利润 | $-0.14 | $-4.20 |
净算力市场收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.13 | $3.88 |
|
成本
$0.1/kWh
|
$0.32 | $9.60 |
| 利润 | $-0.19 | $-5.72 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia GeForce RTX 3050 的回本周期
测算此设备的回本周期、电费和首年收益。
曲线穿过零点即回本。之后全是利润。
| Month | Earned (mo) | Cost burned (mo) | Cumulative earned | Cumulative cost | Net | % ROI |
|---|
按能源来源的年度排放
基于年度耗电量和常见电网的碳强度。
| 能源来源 | CO₂e / 年 |
|---|---|
| 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 |
仅为估算 — 实际排放因硬件、冷却和电网而异。
这意味着什么?
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:
你在哪里接电很重要
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.
如何减少该矿机的碳足迹
- 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).
常见问题
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.