AMD RX 6600 XT — 挖矿
AMD RX 6600 XT 每天净亏 $0.07 挖 KAWPOW 算力 17.43 Mh/s 功耗 77.0 W. 这是在扣除 $0.1/kWh 电费后的结果 — 按当前行情暂未回本。
AMD RX 6600 XT 挖 KAWPOW 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。
此 GPU 仅有 ? GB 显存 — 大多数 AI 市场要求至少 12 GB。
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 | $0.18 | $5.49 |
|
成本
$0.1/kWh
|
$0.18 | $5.40 |
| 利润 | $0.00 | $0.09 |
算法收益历史 ▶ KAWPOW
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 | $0.11 | $3.30 |
|
成本
$0.1/kWh
|
$0.18 | $5.40 |
| 利润 | $-0.07 | $-2.10 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
|
RVN
Ravencoin
|
KAWPOW
17.43Mh · 77.0W
|
$0.11 | $0.18 | $-0.07 |
|
BEAM
⚠
Beam
|
BeamHashIII
14.033Hh · 49.0W
|
$0.06 | $0.12 | $-0.06 |
ERG
⚠
Ergo
|
Autolykos2
63.34Mh · 53.0W
|
$0.04 | $0.13 | $-0.09 |
|
ETC
Ethereum Classic
|
Etchash
32.3245Mh · 59.0W
|
$0.03 | $0.14 | $-0.11 |
NEXA
⚠
Nexa
|
NexaPoW
12.9966Mh · 144.0W
|
$0.01 | $0.35 | $-0.34 |
|
MONA
⚠
Monacoin
|
Lyra2REv2
51.4432Mh · 136.0W
|
$0.01 | $0.33 | $-0.32 |
|
XMR
Monero
|
RandomX
153.45Hh · 0.0W
|
— | — | — |
KAS
Kaspa
|
KHeavyHash
437.756Mh · 145.0W
|
— | $0.35 | — |
|
—
|
KangarooTwelve
1.5442Gh · 145.0W
|
— | $0.35 | — |
|
—
|
Globalhash
58.242Mh · 114.0W
|
— | $0.27 | — |
|
—
|
SHA256DT
1.9013Gh · 145.0W
|
— | $0.35 | — |
|
VTC
⚠
Vertcoin
|
Verthash
418.6303Kh · 87.0W
|
— | $0.21 | — |
|
—
|
Pawelhash
9.7171Mh · 123.0W
|
— | $0.30 | — |
|
—
|
SonoA
2.3147Mh · 134.0W
|
— | $0.32 | — |
|
—
|
Argon2d-ninja
62.3387Kh · 56.0W
|
— | $0.13 | — |
|
—
|
Lyra2vc0ban
51.4432Mh · 136.0W
|
— | $0.33 | — |
|
—
|
SHA-256csm
1.6882Gh · 122.0W
|
— | $0.29 | — |
|
—
|
X17
14.824Mh · 133.0W
|
— | $0.32 | — |
|
—
|
Ethash
32.3245Mh · 59.0W
|
— | $0.14 | — |
|
—
|
X17R
14.8622Mh · 133.0W
|
— | $0.32 | — |
|
—
|
X18
10.8422Mh · 124.0W
|
— | $0.30 | — |
|
—
|
Ubqhash
29.7614Mh · 110.0W
|
— | $0.26 | — |
|
—
|
vProgPow
3.9443Mh · 52.0W
|
— | $0.12 | — |
|
—
|
Tribus
87.6786Mh · 134.0W
|
— | $0.32 | — |
|
—
|
Hex
12.2865Mh · 132.0W
|
— | $0.32 | — |
|
—
|
Padihash
13.7176Mh · 135.0W
|
— | $0.32 | — |
|
—
|
C11
19.8017Mh · 110.0W
|
— | $0.26 | — |
|
—
|
X11k
2.7258Mh · 115.0W
|
— | $0.28 | — |
|
—
|
Equihash192_7
21.119Hh · 109.0W
|
— | $0.26 | — |
|
—
|
Equihash210_9
149.706Hh · 115.0W
|
— | $0.28 | — |
|
—
|
Circcash
1.8658Mh · 130.0W
|
— | $0.31 | — |
|
—
|
Dedal
15.1589Mh · 126.0W
|
— | $0.30 | — |
|
—
|
Astralhash
24.2561Mh · 125.0W
|
— | $0.30 | — |
|
—
|
Equihash(125,4)
22.9Hh · 110.0W
|
— | $0.26 | — |
|
—
|
BeamHashII
20.747Hh · 103.0W
|
— | $0.25 | — |
|
—
|
TimeTravel10
32.6496Mh · 129.0W
|
— | $0.31 | — |
|
—
|
X16RT
14.8492Mh · 130.0W
|
— | $0.31 | — |
|
—
|
Skein2
574.6973Mh · 135.0W
|
— | $0.32 | — |
|
—
|
Cuckarood29
4.3Hh · 109.0W
|
— | $0.26 | — |
|
—
|
X21S
9.8656Mh · 122.0W
|
— | $0.29 | — |
|
—
|
X25X
1.9691Mh · 78.0W
|
— | $0.19 | — |
|
—
|
CNReverseWaltz
959.347Hh · 73.0W
|
— | $0.18 | — |
|
—
|
Blake (2s)
5.1855Gh · 130.0W
|
— | $0.31 | — |
|
—
|
Chukwa
59.012Kh · 145.0W
|
— | $0.35 | — |
|
—
|
X22i
8.0586Mh · 126.0W
|
— | $0.30 | — |
|
—
|
Xevan
5.4242Mh · 144.0W
|
— | $0.35 | — |
|
—
|
Jeonghash
11.4674Mh · 128.0W
|
— | $0.31 | — |
|
—
|
Equihash(144,5)
39.63Hh · 121.0W
|
— | $0.29 | — |
|
FTC
⚠
Feathercoin
|
NeoScrypt
0.001Hh · 0.0W
|
— | — | — |
|
VRSC
⚠
Verus
|
VerusHash
6.9989Mh · 125.0W
|
— | $0.30 | — |
|
—
|
X16Rv2
13.7466Mh · 125.0W
|
— | $0.30 | — |
|
—
|
Cuckaroo29S
3.031Hh · 118.0W
|
— | $0.28 | — |
|
—
|
Chukwa2
20.5688Kh · 62.0W
|
— | $0.15 | — |
|
—
|
HeavyHash
407.6474Mh · 144.0W
|
— | $0.35 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
42.184Hh · 124.0W
|
— | $0.30 | — |
|
—
|
Blake3
717.0715Mh · 42.0W
|
— | $0.10 | — |
|
—
|
BCD
17.2396Mh · 125.0W
|
— | $0.30 | — |
|
—
|
HMQ1725
9.0655Mh · 118.0W
|
— | $0.28 | — |
|
—
|
HoneyComb
37.2397Mh · 124.0W
|
— | $0.30 | — |
|
—
|
PHI1612
23.6699Mh · 126.0W
|
— | $0.30 | — |
|
—
|
ProgPowSERO
12.6105Mh · 134.0W
|
— | $0.32 | — |
|
—
|
Sha3d
446.55Mh · 135.0W
|
— | $0.32 | — |
|
—
|
Curvehash
7.7774Mh · 144.0W
|
— | $0.35 | — |
|
—
|
GhostRider
832Hh · 80.0W
|
— | $0.19 | — |
|
—
|
Radiant
384.3534Mh · 43.0W
|
— | $0.10 | — |
|
—
|
KarlsenHashV2
555.49Mh · 53.0W
|
— | $0.13 | — |
|
—
|
X16RTVEIL
14.7805Mh · 125.0W
|
— | $0.30 | — |
|
—
|
Argon2d-16000
3.0477Kh · 82.0W
|
— | $0.20 | — |
|
—
|
ProgPowZ
12.2938Mh · 145.0W
|
— | $0.35 | — |
|
—
|
Skunkhash
32.2192Mh · 114.0W
|
— | $0.27 | — |
|
—
|
X16S
14.8261Mh · 118.0W
|
— | $0.28 | — |
|
—
|
0x10
20.0487Mh · 126.0W
|
— | $0.30 | — |
FIRO
Firo
|
FiroPoW
16.51Mh · 69.0W
|
— | $0.17 | — |
|
—
|
X16R
14.828Mh · 123.0W
|
— | $0.30 | — |
| 矿池 | 支持算法 | 费率 | |
|---|---|---|---|
|
|
BeamHashIII (BEAM) · Autolykos2 (ERG) · Etchash (ETC) | 1.0% | Visit → |
HeroMiners
|
BeamHashIII (BEAM) · Autolykos2 (ERG) · Etchash (ETC) | 0.9% | Visit → |
|
★
K1Pool
|
Autolykos2 (ERG) · Etchash (ETC) · KHeavyHash (KAS) | 1.0% | Visit → |
Rplant
|
FiroPoW (FIRO) · NexaPoW (NEXA) · RandomX (XMR) | 1.0% | Visit → |
SupportXMR
|
RandomX (XMR) | 0.6% | Visit → |
净算力市场收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.18 | $5.49 |
|
成本
$0.1/kWh
|
$0.18 | $5.40 |
| 利润 | $0.00 | $0.09 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
AMD RX 6600 XT 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 | 7.32 kg |
| Nuclear | 7.98 kg |
| Hydroelectric | 15.97 kg |
| Geothermal | 25.28 kg |
| Solar | 29.94 kg |
| Biofuels | 153.01 kg |
| Gas | 325.99 kg |
| Coal | 545.53 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, AMD RX 6600 XT running 24/7 for a year releases about 316 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 AMD RX 6600 XT's annual footprint swings from roughly 546 kg on coal-heavy grids down to about 16 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.
此 GPU 仅有 ? GB 显存 — 大多数 AI 市场要求至少 12 GB。
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 | $0.18 | $5.49 |
|
成本
$0.1/kWh
|
$0.18 | $5.40 |
| 利润 | $0.00 | $0.09 |
算法收益历史 ▶ KAWPOW
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 | $0.11 | $3.30 |
|
成本
$0.1/kWh
|
$0.18 | $5.40 |
| 利润 | $-0.07 | $-2.10 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
|
RVN
Ravencoin
|
KAWPOW
17.43Mh · 77.0W
|
$0.11 | $0.18 | $-0.07 |
|
BEAM
⚠
Beam
|
BeamHashIII
14.033Hh · 49.0W
|
$0.06 | $0.12 | $-0.06 |
ERG
⚠
Ergo
|
Autolykos2
63.34Mh · 53.0W
|
$0.04 | $0.13 | $-0.09 |
|
ETC
Ethereum Classic
|
Etchash
32.3245Mh · 59.0W
|
$0.03 | $0.14 | $-0.11 |
NEXA
⚠
Nexa
|
NexaPoW
12.9966Mh · 144.0W
|
$0.01 | $0.35 | $-0.34 |
|
MONA
⚠
Monacoin
|
Lyra2REv2
51.4432Mh · 136.0W
|
$0.01 | $0.33 | $-0.32 |
|
XMR
Monero
|
RandomX
153.45Hh · 0.0W
|
— | — | — |
KAS
Kaspa
|
KHeavyHash
437.756Mh · 145.0W
|
— | $0.35 | — |
|
—
|
KangarooTwelve
1.5442Gh · 145.0W
|
— | $0.35 | — |
|
—
|
Globalhash
58.242Mh · 114.0W
|
— | $0.27 | — |
|
—
|
SHA256DT
1.9013Gh · 145.0W
|
— | $0.35 | — |
|
VTC
⚠
Vertcoin
|
Verthash
418.6303Kh · 87.0W
|
— | $0.21 | — |
|
—
|
Pawelhash
9.7171Mh · 123.0W
|
— | $0.30 | — |
|
—
|
SonoA
2.3147Mh · 134.0W
|
— | $0.32 | — |
|
—
|
Argon2d-ninja
62.3387Kh · 56.0W
|
— | $0.13 | — |
|
—
|
Lyra2vc0ban
51.4432Mh · 136.0W
|
— | $0.33 | — |
|
—
|
SHA-256csm
1.6882Gh · 122.0W
|
— | $0.29 | — |
|
—
|
X17
14.824Mh · 133.0W
|
— | $0.32 | — |
|
—
|
Ethash
32.3245Mh · 59.0W
|
— | $0.14 | — |
|
—
|
X17R
14.8622Mh · 133.0W
|
— | $0.32 | — |
|
—
|
X18
10.8422Mh · 124.0W
|
— | $0.30 | — |
|
—
|
Ubqhash
29.7614Mh · 110.0W
|
— | $0.26 | — |
|
—
|
vProgPow
3.9443Mh · 52.0W
|
— | $0.12 | — |
|
—
|
Tribus
87.6786Mh · 134.0W
|
— | $0.32 | — |
|
—
|
Hex
12.2865Mh · 132.0W
|
— | $0.32 | — |
|
—
|
Padihash
13.7176Mh · 135.0W
|
— | $0.32 | — |
|
—
|
C11
19.8017Mh · 110.0W
|
— | $0.26 | — |
|
—
|
X11k
2.7258Mh · 115.0W
|
— | $0.28 | — |
|
—
|
Equihash192_7
21.119Hh · 109.0W
|
— | $0.26 | — |
|
—
|
Equihash210_9
149.706Hh · 115.0W
|
— | $0.28 | — |
|
—
|
Circcash
1.8658Mh · 130.0W
|
— | $0.31 | — |
|
—
|
Dedal
15.1589Mh · 126.0W
|
— | $0.30 | — |
|
—
|
Astralhash
24.2561Mh · 125.0W
|
— | $0.30 | — |
|
—
|
Equihash(125,4)
22.9Hh · 110.0W
|
— | $0.26 | — |
|
—
|
BeamHashII
20.747Hh · 103.0W
|
— | $0.25 | — |
|
—
|
TimeTravel10
32.6496Mh · 129.0W
|
— | $0.31 | — |
|
—
|
X16RT
14.8492Mh · 130.0W
|
— | $0.31 | — |
|
—
|
Skein2
574.6973Mh · 135.0W
|
— | $0.32 | — |
|
—
|
Cuckarood29
4.3Hh · 109.0W
|
— | $0.26 | — |
|
—
|
X21S
9.8656Mh · 122.0W
|
— | $0.29 | — |
|
—
|
X25X
1.9691Mh · 78.0W
|
— | $0.19 | — |
|
—
|
CNReverseWaltz
959.347Hh · 73.0W
|
— | $0.18 | — |
|
—
|
Blake (2s)
5.1855Gh · 130.0W
|
— | $0.31 | — |
|
—
|
Chukwa
59.012Kh · 145.0W
|
— | $0.35 | — |
|
—
|
X22i
8.0586Mh · 126.0W
|
— | $0.30 | — |
|
—
|
Xevan
5.4242Mh · 144.0W
|
— | $0.35 | — |
|
—
|
Jeonghash
11.4674Mh · 128.0W
|
— | $0.31 | — |
|
—
|
Equihash(144,5)
39.63Hh · 121.0W
|
— | $0.29 | — |
|
FTC
⚠
Feathercoin
|
NeoScrypt
0.001Hh · 0.0W
|
— | — | — |
|
VRSC
⚠
Verus
|
VerusHash
6.9989Mh · 125.0W
|
— | $0.30 | — |
|
—
|
X16Rv2
13.7466Mh · 125.0W
|
— | $0.30 | — |
|
—
|
Cuckaroo29S
3.031Hh · 118.0W
|
— | $0.28 | — |
|
—
|
Chukwa2
20.5688Kh · 62.0W
|
— | $0.15 | — |
|
—
|
HeavyHash
407.6474Mh · 144.0W
|
— | $0.35 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
42.184Hh · 124.0W
|
— | $0.30 | — |
|
—
|
Blake3
717.0715Mh · 42.0W
|
— | $0.10 | — |
|
—
|
BCD
17.2396Mh · 125.0W
|
— | $0.30 | — |
|
—
|
HMQ1725
9.0655Mh · 118.0W
|
— | $0.28 | — |
|
—
|
HoneyComb
37.2397Mh · 124.0W
|
— | $0.30 | — |
|
—
|
PHI1612
23.6699Mh · 126.0W
|
— | $0.30 | — |
|
—
|
ProgPowSERO
12.6105Mh · 134.0W
|
— | $0.32 | — |
|
—
|
Sha3d
446.55Mh · 135.0W
|
— | $0.32 | — |
|
—
|
Curvehash
7.7774Mh · 144.0W
|
— | $0.35 | — |
|
—
|
GhostRider
832Hh · 80.0W
|
— | $0.19 | — |
|
—
|
Radiant
384.3534Mh · 43.0W
|
— | $0.10 | — |
|
—
|
KarlsenHashV2
555.49Mh · 53.0W
|
— | $0.13 | — |
|
—
|
X16RTVEIL
14.7805Mh · 125.0W
|
— | $0.30 | — |
|
—
|
Argon2d-16000
3.0477Kh · 82.0W
|
— | $0.20 | — |
|
—
|
ProgPowZ
12.2938Mh · 145.0W
|
— | $0.35 | — |
|
—
|
Skunkhash
32.2192Mh · 114.0W
|
— | $0.27 | — |
|
—
|
X16S
14.8261Mh · 118.0W
|
— | $0.28 | — |
|
—
|
0x10
20.0487Mh · 126.0W
|
— | $0.30 | — |
FIRO
Firo
|
FiroPoW
16.51Mh · 69.0W
|
— | $0.17 | — |
|
—
|
X16R
14.828Mh · 123.0W
|
— | $0.30 | — |
| 矿池 | 支持算法 | 费率 | |
|---|---|---|---|
|
|
BeamHashIII (BEAM) · Autolykos2 (ERG) · Etchash (ETC) | 1.0% | Visit → |
HeroMiners
|
BeamHashIII (BEAM) · Autolykos2 (ERG) · Etchash (ETC) | 0.9% | Visit → |
|
★
K1Pool
|
Autolykos2 (ERG) · Etchash (ETC) · KHeavyHash (KAS) | 1.0% | Visit → |
Rplant
|
FiroPoW (FIRO) · NexaPoW (NEXA) · RandomX (XMR) | 1.0% | Visit → |
SupportXMR
|
RandomX (XMR) | 0.6% | Visit → |
净算力市场收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.18 | $5.49 |
|
成本
$0.1/kWh
|
$0.18 | $5.40 |
| 利润 | $0.00 | $0.09 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
AMD RX 6600 XT 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 | 7.32 kg |
| Nuclear | 7.98 kg |
| Hydroelectric | 15.97 kg |
| Geothermal | 25.28 kg |
| Solar | 29.94 kg |
| Biofuels | 153.01 kg |
| Gas | 325.99 kg |
| Coal | 545.53 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, AMD RX 6600 XT running 24/7 for a year releases about 316 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 AMD RX 6600 XT's annual footprint swings from roughly 546 kg on coal-heavy grids down to about 16 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.