LP Agent
Dayun Zig M1
Dayun Zig M1 每天净亏 $1.72 挖 Lyra2REv2 算力 4.3 Gh/s 功耗 790.0 W. 这是在扣除 $0.1/kWh 电费后的结果 — 按当前行情暂未回本。
每日预测
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $97.64 | $2,929.28 |
|
成本
$0.1/kWh
|
$1.90 | $57.00 |
| 利润 | $95.75 | $2,872.40 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
|
MONA
⚠
Monacoin
|
Lyra2REv2
4.3Gh · 790.0W
|
$0.18 | $1.90 | $-1.72 |
|
—
|
Lbry
4.3Gh · 790.0W
|
— | $1.90 | — |
|
—
|
Groestl
4.3Gh · 790.0W
|
— | $1.90 | — |
|
—
|
Myr-Groestl
4.3Gh · 790.0W
|
— | $1.90 | — |
|
—
|
Pascal
4.3Gh · 790.0W
|
— | $1.90 | — |
LP Agent
- Algorithm
- Groestl
- Fan(s)
- 2
- Hashrate
- 4.3 Gh/s
- Humidity
- 5 - 95 %
- Interface
- Ethernet
- Manufacturer
- Dayun
- Model
- Zig M1
- Noise level
- 72dB
- Number of fans
- 2
- Power
- 784W
- Release
- November 2018
- Size
- 14 x 17 x 30cm
- Temperature
- 5 - 45 °C
- Weight
- 5.8 kg
| 市场 | 算法 | 利润 /天 |
|---|---|---|
|
MRR floor
0% rented · matches cheapest seller
|
Lyra2REv2
0.00000030000 BTC/M/d
|
$95.74
★
$97.64 收入 · $1.90 成本
访问 →
|
|
MRR recent
last 10 rentals · actual clearing price
|
Lyra2REv2
0.00002520563 BTC/M/d
|
$8,201.92
★
$8,203.82 收入 · $1.90 成本
访问 →
|
|
MRR asking
aspirational — seller wish, not matched
|
Lyra2REv2
0.00000054154 BTC/M/d
|
$174.36
$176.26 收入 · $1.90 成本
|
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Dayun Zig M1 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 | 75.08 kg |
| Nuclear | 81.91 kg |
| Hydroelectric | 163.81 kg |
| Geothermal | 259.37 kg |
| Solar | 307.15 kg |
| Biofuels | 1,569.89 kg |
| Gas | 3,344.54 kg |
| Coal | 5,596.99 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, Dayun Zig M1 running 24/7 for a year releases about 3,242 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 Dayun Zig M1's annual footprint swings from roughly 5,597 kg on coal-heavy grids down to about 164 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
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $97.64 | $2,929.28 |
|
成本
$0.1/kWh
|
$1.90 | $57.00 |
| 利润 | $95.75 | $2,872.40 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
|
MONA
⚠
Monacoin
|
Lyra2REv2
4.3Gh · 790.0W
|
$0.18 | $1.90 | $-1.72 |
|
—
|
Lbry
4.3Gh · 790.0W
|
— | $1.90 | — |
|
—
|
Groestl
4.3Gh · 790.0W
|
— | $1.90 | — |
|
—
|
Myr-Groestl
4.3Gh · 790.0W
|
— | $1.90 | — |
|
—
|
Pascal
4.3Gh · 790.0W
|
— | $1.90 | — |
- Algorithm
- Groestl
- Fan(s)
- 2
- Hashrate
- 4.3 Gh/s
- Humidity
- 5 - 95 %
- Interface
- Ethernet
- Manufacturer
- Dayun
- Model
- Zig M1
- Noise level
- 72dB
- Number of fans
- 2
- Power
- 784W
- Release
- November 2018
- Size
- 14 x 17 x 30cm
- Temperature
- 5 - 45 °C
- Weight
- 5.8 kg
| 市场 | 算法 | 利润 /天 |
|---|---|---|
|
MRR floor
0% rented · matches cheapest seller
|
Lyra2REv2
0.00000030000 BTC/M/d
|
$95.74
★
$97.64 收入 · $1.90 成本
访问 →
|
|
MRR recent
last 10 rentals · actual clearing price
|
Lyra2REv2
0.00002520563 BTC/M/d
|
$8,201.92
★
$8,203.82 收入 · $1.90 成本
访问 →
|
|
MRR asking
aspirational — seller wish, not matched
|
Lyra2REv2
0.00000054154 BTC/M/d
|
$174.36
$176.26 收入 · $1.90 成本
|
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Dayun Zig M1 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 | 75.08 kg |
| Nuclear | 81.91 kg |
| Hydroelectric | 163.81 kg |
| Geothermal | 259.37 kg |
| Solar | 307.15 kg |
| Biofuels | 1,569.89 kg |
| Gas | 3,344.54 kg |
| Coal | 5,596.99 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, Dayun Zig M1 running 24/7 for a year releases about 3,242 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 Dayun Zig M1's annual footprint swings from roughly 5,597 kg on coal-heavy grids down to about 164 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.