QUN LI
Wind Turbine Vessel, IMO 9896543
The current position of QUN LI is at China Coast reported 105 days ago by AIS. The vessel is en route to BZ34-2/4, sailing at a speed of 8.1 knots and expected to arrive there on Feb 11, 07:00. The vessel QUN LI (IMO 9896543, MMSI 413266680) is a Wind Turbine Vessel built in 2021 (5 years old) and currently sailing under the flag of China.
Voyage Data
Destination
BZ34-2/4
ETA: Feb 11, 07:00
| Predicted ETA | - |
| Distance / Time | - |
| Course / Speed | |
| Current draught | 7.0 m |
| Navigation Status | - |
| Position received |
105 days ago
|
| IMO / MMSI | 9896543 / 413266680 |
| Callsign | BONU2 |
| AIS Type | Other type |
| AIS Flag | China |
| Length / Beam | 132 / 42 m |
Ship position & weather
Recent Port Calls
Vessel Particulars
| IMO number | 9896543 |
| Vessel Name | QUN LI |
| Ship Type | Wind Turbine Vessel |
| Flag | China |
| Year of Build | 2021 |
| Length Overall (m) | 132.00 |
| Length BP (m) | - |
| Beam (m) | 42.00 |
| Draught (m) | - |
| Depth (m) | - |
| Gross Tonnage | 18109 |
| Net Tonnage | - |
| Deadweight (t) | 5000 |
| TEU | - |
| Crude Oil (bbl) | - |
| Gas (m3) | - |
| Grain (m3) | - |
| Bale (m3) | - |
| Ballast Water (m3) | - |
| Fresh Water (m3) | - |
| Builder | - |
| Place of Build | - |
| Hull | - |
| Material | - |
| Engine Builder | - |
| Engine Type | - |
| Engine Power (kW) | - |
| Fuel Type | - |
| Service Speed (kn) | - |
| Propeller | - |
Management
| Registered Owner | |||||||
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| Manager | |||||||
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| ISM Manager | |||||||
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| P&I Club | |
| Classification Society | - |
| Last Survey | - |
| Next Survey | - |
History
Year
Flag
Vessel Name
Registered Owner
Manager
Year
2021 Jun
Flag
Vessel Name
Registered Owner
Manager
Year
2021 Jun
Flag
Vessel Name
QUN LI
Registered Owner
Manager
Disclaimer
QUN LI current position and history of port calls are received by AIS. Technical specifications, tonnages and management details are derived from VesselFinder database. The data is for informational purposes only and VesselFinder is not responsible for the accuracy and reliability of QUN LI data.