TAI FU
General Cargo Ship, IMO 9998080
The current position of TAI FU is at Black Sea reported 1 min ago by AIS. The vessel arrived at the port of Constanta, Romania on Apr 1, 20:49 UTC. The vessel TAI FU (IMO 9998080, MMSI 636023637) is a General Cargo Ship built in 2024 (2 years old) and currently sailing under the flag of Liberia.
Voyage Data
| Predicted ETA | - |
| Distance / Time | - |
| Course / Speed | |
| Current draught | 8.0 m |
| Navigation Status | Moored |
| Position received |
1 min ago
|
| IMO / MMSI | 9998080 / 636023637 |
| Callsign | 5LOR7 |
| AIS Type | Cargo ship |
| AIS Flag | Liberia |
| Length / Beam | 200 / 32 m |
Ship position & weather
Recent Port Calls
Vessel Utilization
Vessel Particulars
| IMO number | 9998080 |
| Vessel Name | TAI FU |
| Ship Type | General Cargo Ship |
| Flag | Liberia |
| Year of Build | 2024 |
| Length Overall (m) | 200.00 |
| Length BP (m) | - |
| Beam (m) | 32.00 |
| Draught (m) | - |
| Depth (m) | - |
| Gross Tonnage | 39368 |
| Net Tonnage | - |
| Deadweight (t) | 61702 |
| 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
2025 Mar
Flag
Vessel Name
Registered Owner
Manager
Year
2024 Nov
Flag
Vessel Name
Registered Owner
Manager
Year
2024 Nov
Flag
Vessel Name
TAI FU
Registered Owner
Manager
Disclaimer
TAI FU 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 TAI FU data.