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Emissions & CII

CO₂ to commercial consequence.

Five regulatory regimes now turn the same exhaust stream into financial obligation. The question isn’t which one to track — it’s whether your data is good enough to see where each regime stands before the year-end number locks in.

CII ratingEU ETS allowancesFuelEU intensityEEOIIMO DCSyear-end forecast

Three stages

Read noon reports + BDN → Compute all five regimes → Forecast + escalate
  • Read — daily noon reports (distance, fuel by grade, cargo on board) plus Bunker Delivery Notes (quantity, grade, sulphur).
  • Compute — each regime independently: CII attained, EEOI per voyage, EU ETS allowance demand, FuelEU GHG intensity, IMO DCS fuel totals.
  • Forecast — project every metric to year-end using linear trend or planned-voyage profile, then escalate when a rating or obligation is heading outside acceptable range.

The five regimes

RegimeEnforced byWhat’s measuredConsequence
CIIIMOAnnual CO₂ per transport workA–E rating; D×3 or E×1 triggers SEEMP III
EEOIIMOCO₂ per cargo-tonne-mile, per voyageOperational benchmark
EU ETSEuropean CommissionCO₂ on EU-touching voyagesAllowance purchase obligation
FuelEU MaritimeEuropean CommissionGHG intensity well-to-wakePenalty per gram above target
IMO DCSIMOAnnual fuel consumption reportCompliance reporting

The five regimes share the same source data but slice it differently. A vessel can be A-rated on CII while failing FuelEU on its fuel mix; it can be EU ETS-compliant while its DCS data has integrity gaps. The pipeline computes all five every refresh — they don’t reduce to a single number.

International Maritime OrganizationEuropean Union

CII — the centerpiece

The IMO Carbon Intensity Indicator is the most operationally consequential regime. Two calculations drive the result:

CII_attained = total_CO2 (g) / (Capacity × total_Distance_nm)
CO2_i = mass_fuel_i × CF_fuel

Carbon factors by fuel grade:

FuelCF (gCO₂/g fuel)
HSFO3.114
VLSFO3.151
MGO3.206
LNG (combustion)2.750

Rating bands (ratio = CII_attained / CII_required):

RatingRatio
A≤ 0.86
B0.86 – 0.94
C0.94 – 1.06
D1.06 – 1.18
E> 1.18

Worked example — MV OCEAN

82,000 DWT container vessel, end-of-April review (4 months into operating year):

MetricValue
YTD CO₂14,820 t
YTD distance38,400 nm
CII attained (YTD)ratio 1.12 → D-band
Linear year-end forecastratio 1.16 → D-band, close to E
Operational forecast (planned voyages)ratio 1.18 → E-band threshold
EU ETS YTD obligation4,180 EUAs (~€352k at €84/EUA)
EU ETS year-end forecast12,500 EUAs (€1.05M)
FuelEU GHG intensity YTD86.8 gCO₂eq/MJ vs target 89.3 — currently compliant

Verdict: HIGH-CRITICAL on CII trajectory. Three action candidates:

  1. Slow-steaming — reducing average speed by 1 knot reduces CO₂ per nm meaningfully.
  2. Bunker mix shift — LNG dual-fuel if available; VLSFO-to-MGO net carbon impact is marginal.
  3. Engineering efficiency — hull cleaning and propeller polishing reduce required power for the same speed.

Under the hood

CII implementation — attained calculation and rating lookup
def cii_attained(voyages, vessel_type, dwt):
"""CII attained = total CO2 / (capacity * total distance)."""
total_co2 = 0.0
total_distance_nm = 0.0
for v in voyages:
for fuel_type, mass_t in v["fuel_consumed"].items():
cf = CARBON_FACTORS[fuel_type] # gCO2 / g fuel
total_co2 += mass_t * 1_000_000 * cf # to grams
total_distance_nm += v["distance_nm"]
capacity = dwt if vessel_type != "passenger" else gt
return total_co2 / (capacity * total_distance_nm)
def cii_rating(attained, required):
ratio = attained / required
if ratio <= 0.86: return "A"
if ratio <= 0.94: return "B"
if ratio <= 1.06: return "C"
if ratio <= 1.18: return "D"
return "E"
Year-end forecast — two methods

Method 1 — Linear projection

CII_forecast = CII_attained(t) + trend_recent × (T − t)

where trend_recent is the rate of change over the last 3 months and T is year-end.

Method 2 — Operational profile

When the voyage plan for the rest of the year is known, the analyzer projects emissions using planned distance and fuel consumption per leg. More accurate when the operational pattern is stable.

The forecast is reported as a confidence range — a vessel currently at C-band with a forecast trending toward D has time to act if surfaced at mid-year.

EEOI and EU ETS formulas

EEOI (Energy Efficiency Operational Indicator):

EEOI = sum(CO2_i) / sum(cargo_i × Distance_i)

EEOI uses cargo-tonne-miles rather than capacity-miles — a vessel running below capacity on backhauls shows high EEOI relative to CII, useful signal that the operational pattern is the issue rather than the engineering.

EU ETS scope:

Voyage typeCO₂ scope
Intra-EU100%
EU ↔ non-EU (one end EU)50%
Extra-EU (both ends non-EU)0%

Phase-in: 40% obligation in 2024, 70% in 2025, 100% from 2026.

FuelEU Maritime:

GHG_intensity = sum(GHG_i_wtw) / sum(Energy_i)

Compared against a reducing annual target. Non-compliance penalised per gram of GHG above target multiplied by total energy consumed. ISCC-certified biofuels reduce GHG intensity proportionally to their share of energy mix.

Fleet rating dashboard — sample output
Vessel Type DWT CII attained Required Ratio Rating
POSUN Bulker 52,000 5.18 5.34 0.97 C
AQUILA Tanker 115,000 3.65 3.74 0.98 C
OCEAN Container 82,000 8.42 7.95 1.06 D
NEXUS Tanker 58,000 4.21 4.45 0.95 C

The reviewer scans for vessels approaching D / E — those need active management for the rest of the year. Vessels of the same type consistently above CII required points to a fleet-wide operational issue, not a vessel-by-vessel problem.

Escalation triggers
TriggerSeverity
CII rating projecting E with ≥ 6 months remainingCRITICAL
CII rating projecting D for third consecutive yearCRITICAL
FuelEU intensity above target by mid-yearHIGH
EU ETS obligation forecast variance > 25% from planHIGH
IMO DCS data integrity gaps in submitted reportsHIGH

What the senior review contains

The reviewer reads nine sections in order: headline ratings (CII and forecast, EU ETS YTD and forecast, FuelEU margin) → CII trajectory with band projections → per-voyage EEOI → EU ETS obligation and financial impact → FuelEU intensity vs target → IMO DCS data quality → operational change candidates (slow-steaming, bunker shift, hull cleaning) → recommendations → escalation decision.