EU MRV emissions · IMO 9312860
LIMERICK SPIRIT
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 |
|---|---|---|---|---|
| 2024 | 4,295 t | 1,368 t | 744 h | DNV |
| 2023 | 2,806 t | 896 t | 703 h | DNV |
| 2021 | 2,254 t | 723 t | 650 h | DNV |
| 2020 | 1,932 t | 617 t | 488 h | DNV |
| 2019 | 1,303 t | 407 t | 200 h | DNV |
| 2018 | 6,085 t | 1,932 t | 1,042 h | DNV |
Reading these numbers
- 2024, filed by Teekay Marine (Singapore) Pte. Ltd.
- Technical efficiency as filed: EEXI (3.45 gCO₂/t·nm). Every tonne of fuel in this filing carries 3.14 tonnes of CO2. Source: EMSA THETIS MRV, 2024 file version 254. Other ships this company filed for.
- 2023
- Technical efficiency as filed: EEXI (3.45 gCO₂/t·nm). Every tonne of fuel in this filing carries 3.13 tonnes of CO2. Source: EMSA THETIS MRV, 2023 file version 92.
- 2021
- Technical efficiency as filed: EIV (4.73 gCO₂/t·nm). Every tonne of fuel in this filing carries 3.12 tonnes of CO2. Source: EMSA THETIS MRV, 2021 file version 219.
- 2020
- Technical efficiency as filed: EIV (4.73 gCO₂/t·nm). Every tonne of fuel in this filing carries 3.13 tonnes of CO2. Source: EMSA THETIS MRV, 2020 file version 210.
- 2019
- Technical efficiency as filed: EIV (4.73 gCO₂/t·nm). Every tonne of fuel in this filing carries 3.20 tonnes of CO2. Source: EMSA THETIS MRV, 2019 file version 228.
- 2018
- Technical efficiency as filed: EIV (4.73 gCO₂/t·nm). Every tonne of fuel in this filing carries 3.15 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.