EU MRV emissions · IMO 9635846
HAFNIA TIGER
What this ship reported burning and emitting on voyages touching the European Economic Area, one line per reporting year, as verified under the EU MRV regulation and published by EMSA. Oil tanker. The figures are the source figures. We add nothing to them.
| Year | CO2 | Fuel | Time at sea | Verifier |
|---|---|---|---|---|
| 2025 | 5,194 t | 1,653 t | 2,072 h | DNV |
| 2022 | 5,393 t | 1,720 t | 1,914 h | DNV |
| 2021 | 4,645 t | 1,470 t | 1,508 h | DNV |
| 2020 | 6,290 t | 1,985 t | 1,950 h | DNV |
| 2019 | 8,245 t | 2,630 t | 3,086 h | DNV |
| 2018 | 2,666 t | 844 t | 884 h | DNV |
Reading these numbers
- 2025, filed by BW Fleet Management Pte Ltd
- Technical efficiency as filed: EEXI (4.16 gCO₂/t·nm). Every tonne of fuel in this filing carries 3.14 tonnes of CO2. Source: EMSA THETIS MRV, 2025 file version 84. Other ships this company filed for.
- 2022
- Technical efficiency as filed: EEDI (4.16 gCO₂/t·nm). Every tonne of fuel in this filing carries 3.14 tonnes of CO2. Source: EMSA THETIS MRV, 2022 file version 241.
- 2021
- Technical efficiency as filed: EEDI (4.16 gCO₂/t·nm). Every tonne of fuel in this filing carries 3.16 tonnes of CO2. Source: EMSA THETIS MRV, 2021 file version 219.
- 2020
- Technical efficiency as filed: EEDI (4.16 gCO₂/t·nm). Every tonne of fuel in this filing carries 3.17 tonnes of CO2. Source: EMSA THETIS MRV, 2020 file version 210.
- 2019
- Technical efficiency as filed: EIV (4.77 gCO₂/t·nm). Every tonne of fuel in this filing carries 3.14 tonnes of CO2. Source: EMSA THETIS MRV, 2019 file version 228.
- 2018
- Technical efficiency as filed: Not Applicable. Every tonne of fuel in this filing carries 3.16 tonnes of CO2. Source: EMSA THETIS MRV, 2018 file version 275.
Source: the EU MRV publication of information, European Maritime Safety Agency. The exact file these rows came from. Read on 2026-11-07.
Scope is EU MRV scope: voyages to, from and between ports in the European Economic Area, plus time at berth there. It is not the ship’s whole year. How the whole dataset is put together.