Nvidia GeForce GTX 1650 Super — 挖矿
Nvidia GeForce GTX 1650 Super 每天净亏 $0.11 挖 KAWPOW 算力 10.842 Mh/s 功耗 75.0 W. 这是在扣除 $0.1/kWh 电费后的结果 — 按当前行情暂未回本。
Nvidia GeForce GTX 1650 Super 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 | $0.11 | $3.42 |
|
成本
$0.1/kWh
|
$0.18 | $5.40 |
| 利润 | $-0.07 | $-1.98 |
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 | $0.07 | $2.10 |
|
成本
$0.1/kWh
|
$0.18 | $5.40 |
| 利润 | $-0.11 | $-3.30 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
|
RVN
Ravencoin
|
KAWPOW
10.842Mh · 75.0W
|
$0.07 | $0.18 | $-0.11 |
|
BEAM
⚠
Beam
|
BeamHashIII
7Hh · 43.0W
|
$0.03 | $0.10 | $-0.07 |
|
AE
⚠
Aeternity
|
CuckooCycle
2Hh · 74.0W
|
$0.02 | $0.18 | $-0.16 |
ERG
⚠
Ergo
|
Autolykos2
32.634639Mh · 68.0W
|
$0.02 | $0.16 | $-0.14 |
|
ETC
Ethereum Classic
|
Etchash
17.044Mh · 71.0W
|
$0.01 | $0.17 | $-0.16 |
|
XMR
Monero
|
RandomX
364Hh · 100.0W
|
$0.01 | $0.24 | $-0.23 |
NEXA
⚠
Nexa
|
NexaPoW
8.7688Mh · 89.0W
|
$0.01 | $0.21 | $-0.20 |
|
MONA
⚠
Monacoin
|
Lyra2REv2
34.664Mh · 92.0W
|
— | $0.22 | — |
KAS
Kaspa
|
KHeavyHash
276.2771Mh · 99.0W
|
— | $0.24 | — |
|
—
|
Equihash(192,7)
12Hh · 88.0W
|
— | $0.21 | — |
|
—
|
Blake2B
1.504136294Gh · 105.0W
|
— | $0.25 | — |
|
—
|
X16RTVEIL
5.103346Mh · 69.0W
|
— | $0.17 | — |
|
VRSC
⚠
Verus
|
VerusHash
2.5197Mh · 82.0W
|
— | $0.20 | — |
|
—
|
BeamHashII
11Hh · 99.0W
|
— | $0.24 | — |
|
—
|
EquihashSAFE
22Hh · 79.0W
|
— | $0.19 | — |
|
VTC
⚠
Vertcoin
|
Lyra2REv3
31.78458Mh · 100.0W
|
— | $0.24 | — |
|
—
|
SonoA
785.042Kh · 76.0W
|
— | $0.18 | — |
|
—
|
Cuckatoo31
0Hh · 93.0W
|
— | $0.22 | — |
|
—
|
X16Rv2
16.25655Mh · 102.0W
|
— | $0.24 | — |
|
—
|
X16R
6.24751Mh · 78.0W
|
— | $0.19 | — |
|
—
|
Curvehash
1.966045Mh · 80.0W
|
— | $0.19 | — |
|
—
|
X21S
3.719508Mh · 66.0W
|
— | $0.16 | — |
|
—
|
Globalhash
16.653843Mh · 64.0W
|
— | $0.15 | — |
|
—
|
Equihash+Scrypt
15.458Kh · 87.0W
|
— | $0.21 | — |
|
—
|
PHI1612
8.825089Mh · 87.0W
|
— | $0.21 | — |
FIRO
Firo
|
FiroPoW
9.9046Mh · 96.0W
|
— | $0.23 | — |
|
—
|
ProgPowZ
9.621692Mh · 61.0W
|
— | $0.15 | — |
|
—
|
BMW512
978.263609Mh · 95.0W
|
— | $0.23 | — |
CKB
Nervos
|
Eaglesong
529.088Mh · 97.0W
|
— | $0.23 | — |
|
—
|
Ethash
16.639Mh · 72.0W
|
— | $0.17 | — |
|
—
|
Allium
4.690082Mh · 85.0W
|
— | $0.20 | — |
|
—
|
Skunkhash
12.651029Mh · 72.0W
|
— | $0.17 | — |
|
—
|
Keccak-C
541.84359Mh · 98.0W
|
— | $0.24 | — |
|
—
|
Skein2
343.750521Mh · 99.0W
|
— | $0.24 | — |
|
—
|
Keccak
549.12069Mh · 80.0W
|
— | $0.19 | — |
|
—
|
Tribus
29.342812Mh · 80.0W
|
— | $0.19 | — |
|
—
|
Pawelhash
3.174186Mh · 87.0W
|
— | $0.21 | — |
|
—
|
Blake (2s)
2.91738172Gh · 84.0W
|
— | $0.20 | — |
|
—
|
EvrProgPow
10.842Th · 100.0W
|
— | $0.24 | — |
|
—
|
X16S
12.50495Mh · 52.0W
|
— | $0.12 | — |
|
—
|
X15
5.54568Mh · 86.0W
|
— | $0.21 | — |
|
—
|
HoneyComb
33.779861Mh · 86.0W
|
— | $0.21 | — |
|
—
|
Chukwa
43.03Kh · 57.0W
|
— | $0.14 | — |
|
—
|
ProgPowSERO
9.935Mh · 63.0W
|
— | $0.15 | — |
|
—
|
SHA-256csm
950.12598Mh · 90.0W
|
— | $0.22 | — |
|
—
|
GhostRider
432Hh · 53.0W
|
— | $0.13 | — |
|
—
|
Equihash(125,4)
13Hh · 75.0W
|
— | $0.18 | — |
|
—
|
CryptoNightHaven
440Hh · 55.0W
|
— | $0.13 | — |
|
—
|
CryptoNightConceal
664Hh · 56.0W
|
— | $0.13 | — |
|
—
|
CNReverseWaltz
470Hh · 81.0W
|
— | $0.19 | — |
|
—
|
X11k
967.433Kh · 66.0W
|
— | $0.16 | — |
|
—
|
CryptoNightLiteV7
699Hh · 57.0W
|
— | $0.14 | — |
|
—
|
Astralhash
7.377011Mh · 79.0W
|
— | $0.19 | — |
|
—
|
Blake (2s-Kadena)
646.229Mh · 108.0W
|
— | $0.26 | — |
|
—
|
X17
5.018753Mh · 72.0W
|
— | $0.17 | — |
|
—
|
NIST5
20.20426Mh · 97.0W
|
— | $0.23 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
4.667Mh · 85.0W
|
— | $0.20 | — |
|
—
|
vProgPow
5.156728Mh · 95.0W
|
— | $0.23 | — |
|
—
|
Mike
415Mh · 59.0W
|
— | $0.14 | — |
|
—
|
SHA256DT
994.4671Mh · 79.0W
|
— | $0.19 | — |
|
—
|
Jeonghash
4.681771Mh · 77.0W
|
— | $0.18 | — |
|
—
|
CryptoNightR
345Hh · 64.0W
|
— | $0.15 | — |
|
—
|
Ubqhash
1.275988Mh · 45.0W
|
— | $0.11 | — |
|
GRIN
⚠
Grin
|
Cuckatoo32
0Hh · 90.0W
|
— | $0.22 | — |
|
—
|
Argon2d4096
19.134Kh · 56.0W
|
— | $0.13 | — |
|
—
|
Argon2d250
424.272Kh · 100.0W
|
— | $0.24 | — |
|
—
|
CryptoNightGPU
1.03Kh · 83.0W
|
— | $0.20 | — |
|
—
|
Argon2d-dyn
98.09Kh · 95.0W
|
— | $0.23 | — |
|
—
|
Padihash
524.091Kh · 42.0W
|
— | $0.10 | — |
|
—
|
C11
17.48042Mh · 65.0W
|
— | $0.16 | — |
|
—
|
X18
262.042Kh · 100.0W
|
— | $0.24 | — |
ACM
⚠
Actinium
|
Lyra2z
1.29464Mh · 50.0W
|
— | $0.12 | — |
|
—
|
EquihashBTCZ
21Hh · 87.0W
|
— | $0.21 | — |
|
—
|
EquihashBTG
21Hh · 79.0W
|
— | $0.19 | — |
|
—
|
Equihash(210,9)
108Hh · 94.0W
|
— | $0.23 | — |
|
—
|
CryptoNightFast
664Hh · 58.0W
|
— | $0.14 | — |
|
—
|
CryptoNightHeavy
430Hh · 57.0W
|
— | $0.14 | — |
|
—
|
Equihash(144,5)
21Hh · 88.0W
|
— | $0.21 | — |
|
—
|
Equihash(96,5)
4.969Kh · 66.0W
|
— | $0.16 | — |
|
—
|
Chukwa2
15.176Kh · 57.0W
|
— | $0.14 | — |
|
—
|
Blake256R14-dcr
2.06349916Gh · 104.0W
|
— | $0.25 | — |
|
—
|
BCD
15.46743Mh · 91.0W
|
— | $0.22 | — |
|
—
|
X22i
9.236471Mh · 101.0W
|
— | $0.24 | — |
|
—
|
X25X
2.821534Mh · 93.0W
|
— | $0.22 | — |
|
—
|
Xevan
2.89039Mh · 60.0W
|
— | $0.14 | — |
|
—
|
X17R
5.053566Mh · 75.0W
|
— | $0.18 | — |
|
—
|
Hex
9.63457Mh · 46.0W
|
— | $0.11 | — |
|
—
|
TimeTravel10
21.00292Mh · 94.0W
|
— | $0.23 | — |
|
—
|
Dedal
5.047572Mh · 76.0W
|
— | $0.18 | — |
|
—
|
PHI2
4.408012Mh · 88.0W
|
— | $0.21 | — |
|
—
|
HMQ1725
2.753824Mh · 67.0W
|
— | $0.16 | — |
|
—
|
0x10
6.750428Mh · 71.0W
|
— | $0.17 | — |
|
FTC
⚠
Feathercoin
|
NeoScrypt
712.92Kh · 100.0W
|
— | $0.24 | — |
|
—
|
X16RT
5.123929Mh · 83.0W
|
— | $0.20 | — |
|
—
|
HeavyHash
235.688973Mh · 101.0W
|
— | $0.24 | — |
|
—
|
Lyra2vc0ban
37.525241Mh · 97.0W
|
— | $0.23 | — |
|
—
|
Radiant
315.519712Mh · 91.0W
|
— | $0.22 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
21Hh · 87.0W
|
— | $0.21 | — |
| 矿池 | 支持算法 | 费率 | |
|---|---|---|---|
|
|
CuckooCycle (AE) · BeamHashIII (BEAM) · Eaglesong (CKB) | 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 | $0.11 | $3.42 |
|
成本
$0.1/kWh
|
$0.18 | $5.40 |
| 利润 | $-0.07 | $-1.98 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia GeForce GTX 1650 Super 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 | 7.13 kg |
| Nuclear | 7.78 kg |
| Hydroelectric | 15.55 kg |
| Geothermal | 24.62 kg |
| Solar | 29.16 kg |
| Biofuels | 149.04 kg |
| Gas | 317.52 kg |
| Coal | 531.36 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 GTX 1650 Super running 24/7 for a year releases about 308 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 GTX 1650 Super's annual footprint swings from roughly 531 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 | $0.11 | $3.42 |
|
成本
$0.1/kWh
|
$0.18 | $5.40 |
| 利润 | $-0.07 | $-1.98 |
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 | $0.07 | $2.10 |
|
成本
$0.1/kWh
|
$0.18 | $5.40 |
| 利润 | $-0.11 | $-3.30 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
|
RVN
Ravencoin
|
KAWPOW
10.842Mh · 75.0W
|
$0.07 | $0.18 | $-0.11 |
|
BEAM
⚠
Beam
|
BeamHashIII
7Hh · 43.0W
|
$0.03 | $0.10 | $-0.07 |
|
AE
⚠
Aeternity
|
CuckooCycle
2Hh · 74.0W
|
$0.02 | $0.18 | $-0.16 |
ERG
⚠
Ergo
|
Autolykos2
32.634639Mh · 68.0W
|
$0.02 | $0.16 | $-0.14 |
|
ETC
Ethereum Classic
|
Etchash
17.044Mh · 71.0W
|
$0.01 | $0.17 | $-0.16 |
|
XMR
Monero
|
RandomX
364Hh · 100.0W
|
$0.01 | $0.24 | $-0.23 |
NEXA
⚠
Nexa
|
NexaPoW
8.7688Mh · 89.0W
|
$0.01 | $0.21 | $-0.20 |
|
MONA
⚠
Monacoin
|
Lyra2REv2
34.664Mh · 92.0W
|
— | $0.22 | — |
KAS
Kaspa
|
KHeavyHash
276.2771Mh · 99.0W
|
— | $0.24 | — |
|
—
|
Equihash(192,7)
12Hh · 88.0W
|
— | $0.21 | — |
|
—
|
Blake2B
1.504136294Gh · 105.0W
|
— | $0.25 | — |
|
—
|
X16RTVEIL
5.103346Mh · 69.0W
|
— | $0.17 | — |
|
VRSC
⚠
Verus
|
VerusHash
2.5197Mh · 82.0W
|
— | $0.20 | — |
|
—
|
BeamHashII
11Hh · 99.0W
|
— | $0.24 | — |
|
—
|
EquihashSAFE
22Hh · 79.0W
|
— | $0.19 | — |
|
VTC
⚠
Vertcoin
|
Lyra2REv3
31.78458Mh · 100.0W
|
— | $0.24 | — |
|
—
|
SonoA
785.042Kh · 76.0W
|
— | $0.18 | — |
|
—
|
Cuckatoo31
0Hh · 93.0W
|
— | $0.22 | — |
|
—
|
X16Rv2
16.25655Mh · 102.0W
|
— | $0.24 | — |
|
—
|
X16R
6.24751Mh · 78.0W
|
— | $0.19 | — |
|
—
|
Curvehash
1.966045Mh · 80.0W
|
— | $0.19 | — |
|
—
|
X21S
3.719508Mh · 66.0W
|
— | $0.16 | — |
|
—
|
Globalhash
16.653843Mh · 64.0W
|
— | $0.15 | — |
|
—
|
Equihash+Scrypt
15.458Kh · 87.0W
|
— | $0.21 | — |
|
—
|
PHI1612
8.825089Mh · 87.0W
|
— | $0.21 | — |
FIRO
Firo
|
FiroPoW
9.9046Mh · 96.0W
|
— | $0.23 | — |
|
—
|
ProgPowZ
9.621692Mh · 61.0W
|
— | $0.15 | — |
|
—
|
BMW512
978.263609Mh · 95.0W
|
— | $0.23 | — |
CKB
Nervos
|
Eaglesong
529.088Mh · 97.0W
|
— | $0.23 | — |
|
—
|
Ethash
16.639Mh · 72.0W
|
— | $0.17 | — |
|
—
|
Allium
4.690082Mh · 85.0W
|
— | $0.20 | — |
|
—
|
Skunkhash
12.651029Mh · 72.0W
|
— | $0.17 | — |
|
—
|
Keccak-C
541.84359Mh · 98.0W
|
— | $0.24 | — |
|
—
|
Skein2
343.750521Mh · 99.0W
|
— | $0.24 | — |
|
—
|
Keccak
549.12069Mh · 80.0W
|
— | $0.19 | — |
|
—
|
Tribus
29.342812Mh · 80.0W
|
— | $0.19 | — |
|
—
|
Pawelhash
3.174186Mh · 87.0W
|
— | $0.21 | — |
|
—
|
Blake (2s)
2.91738172Gh · 84.0W
|
— | $0.20 | — |
|
—
|
EvrProgPow
10.842Th · 100.0W
|
— | $0.24 | — |
|
—
|
X16S
12.50495Mh · 52.0W
|
— | $0.12 | — |
|
—
|
X15
5.54568Mh · 86.0W
|
— | $0.21 | — |
|
—
|
HoneyComb
33.779861Mh · 86.0W
|
— | $0.21 | — |
|
—
|
Chukwa
43.03Kh · 57.0W
|
— | $0.14 | — |
|
—
|
ProgPowSERO
9.935Mh · 63.0W
|
— | $0.15 | — |
|
—
|
SHA-256csm
950.12598Mh · 90.0W
|
— | $0.22 | — |
|
—
|
GhostRider
432Hh · 53.0W
|
— | $0.13 | — |
|
—
|
Equihash(125,4)
13Hh · 75.0W
|
— | $0.18 | — |
|
—
|
CryptoNightHaven
440Hh · 55.0W
|
— | $0.13 | — |
|
—
|
CryptoNightConceal
664Hh · 56.0W
|
— | $0.13 | — |
|
—
|
CNReverseWaltz
470Hh · 81.0W
|
— | $0.19 | — |
|
—
|
X11k
967.433Kh · 66.0W
|
— | $0.16 | — |
|
—
|
CryptoNightLiteV7
699Hh · 57.0W
|
— | $0.14 | — |
|
—
|
Astralhash
7.377011Mh · 79.0W
|
— | $0.19 | — |
|
—
|
Blake (2s-Kadena)
646.229Mh · 108.0W
|
— | $0.26 | — |
|
—
|
X17
5.018753Mh · 72.0W
|
— | $0.17 | — |
|
—
|
NIST5
20.20426Mh · 97.0W
|
— | $0.23 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
4.667Mh · 85.0W
|
— | $0.20 | — |
|
—
|
vProgPow
5.156728Mh · 95.0W
|
— | $0.23 | — |
|
—
|
Mike
415Mh · 59.0W
|
— | $0.14 | — |
|
—
|
SHA256DT
994.4671Mh · 79.0W
|
— | $0.19 | — |
|
—
|
Jeonghash
4.681771Mh · 77.0W
|
— | $0.18 | — |
|
—
|
CryptoNightR
345Hh · 64.0W
|
— | $0.15 | — |
|
—
|
Ubqhash
1.275988Mh · 45.0W
|
— | $0.11 | — |
|
GRIN
⚠
Grin
|
Cuckatoo32
0Hh · 90.0W
|
— | $0.22 | — |
|
—
|
Argon2d4096
19.134Kh · 56.0W
|
— | $0.13 | — |
|
—
|
Argon2d250
424.272Kh · 100.0W
|
— | $0.24 | — |
|
—
|
CryptoNightGPU
1.03Kh · 83.0W
|
— | $0.20 | — |
|
—
|
Argon2d-dyn
98.09Kh · 95.0W
|
— | $0.23 | — |
|
—
|
Padihash
524.091Kh · 42.0W
|
— | $0.10 | — |
|
—
|
C11
17.48042Mh · 65.0W
|
— | $0.16 | — |
|
—
|
X18
262.042Kh · 100.0W
|
— | $0.24 | — |
ACM
⚠
Actinium
|
Lyra2z
1.29464Mh · 50.0W
|
— | $0.12 | — |
|
—
|
EquihashBTCZ
21Hh · 87.0W
|
— | $0.21 | — |
|
—
|
EquihashBTG
21Hh · 79.0W
|
— | $0.19 | — |
|
—
|
Equihash(210,9)
108Hh · 94.0W
|
— | $0.23 | — |
|
—
|
CryptoNightFast
664Hh · 58.0W
|
— | $0.14 | — |
|
—
|
CryptoNightHeavy
430Hh · 57.0W
|
— | $0.14 | — |
|
—
|
Equihash(144,5)
21Hh · 88.0W
|
— | $0.21 | — |
|
—
|
Equihash(96,5)
4.969Kh · 66.0W
|
— | $0.16 | — |
|
—
|
Chukwa2
15.176Kh · 57.0W
|
— | $0.14 | — |
|
—
|
Blake256R14-dcr
2.06349916Gh · 104.0W
|
— | $0.25 | — |
|
—
|
BCD
15.46743Mh · 91.0W
|
— | $0.22 | — |
|
—
|
X22i
9.236471Mh · 101.0W
|
— | $0.24 | — |
|
—
|
X25X
2.821534Mh · 93.0W
|
— | $0.22 | — |
|
—
|
Xevan
2.89039Mh · 60.0W
|
— | $0.14 | — |
|
—
|
X17R
5.053566Mh · 75.0W
|
— | $0.18 | — |
|
—
|
Hex
9.63457Mh · 46.0W
|
— | $0.11 | — |
|
—
|
TimeTravel10
21.00292Mh · 94.0W
|
— | $0.23 | — |
|
—
|
Dedal
5.047572Mh · 76.0W
|
— | $0.18 | — |
|
—
|
PHI2
4.408012Mh · 88.0W
|
— | $0.21 | — |
|
—
|
HMQ1725
2.753824Mh · 67.0W
|
— | $0.16 | — |
|
—
|
0x10
6.750428Mh · 71.0W
|
— | $0.17 | — |
|
FTC
⚠
Feathercoin
|
NeoScrypt
712.92Kh · 100.0W
|
— | $0.24 | — |
|
—
|
X16RT
5.123929Mh · 83.0W
|
— | $0.20 | — |
|
—
|
HeavyHash
235.688973Mh · 101.0W
|
— | $0.24 | — |
|
—
|
Lyra2vc0ban
37.525241Mh · 97.0W
|
— | $0.23 | — |
|
—
|
Radiant
315.519712Mh · 91.0W
|
— | $0.22 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
21Hh · 87.0W
|
— | $0.21 | — |
| 矿池 | 支持算法 | 费率 | |
|---|---|---|---|
|
|
CuckooCycle (AE) · BeamHashIII (BEAM) · Eaglesong (CKB) | 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 | $0.11 | $3.42 |
|
成本
$0.1/kWh
|
$0.18 | $5.40 |
| 利润 | $-0.07 | $-1.98 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia GeForce GTX 1650 Super 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 | 7.13 kg |
| Nuclear | 7.78 kg |
| Hydroelectric | 15.55 kg |
| Geothermal | 24.62 kg |
| Solar | 29.16 kg |
| Biofuels | 149.04 kg |
| Gas | 317.52 kg |
| Coal | 531.36 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 GTX 1650 Super running 24/7 for a year releases about 308 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 GTX 1650 Super's annual footprint swings from roughly 531 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.