Never Wait at Anchorage Again: How Much Fuel Could Just-in-Time Arrival Actually Save?

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Port Arrival Control

How Much Fuel Is Hidden in Anchorage Waiting?

A new Japan-linked project will combine VDES, live AIS and port information to keep updating when a ship should arrive. The prize is simple: stop burning fuel to reach a berth that is not ready.

Berth-ready target
18:40
Continuously updated
Current ETA 08:15
Expected waiting 10h 25m
Speed action Slow earlier
Updated target received → speed plan recalculated

A ship can be perfectly on schedule and still arrive ten hours too early. If the berth is occupied, the result is one of shipping's least efficient operating patterns: maintain voyage speed, reach port, drop anchor and wait.

PASUVO is being developed to move that waiting time backward into the voyage. VDES will support ship-to-port information exchange, live and historical AIS data will help estimate vessel movement, and port conditions will continuously alter the target arrival time.

The fuel saving does not come from VDES itself. It comes from learning about the delay early enough that the ship can turn hours of expected anchorage into hours of slower steaming.

Whole-voyage JIT
14.16%
Mean modeled fuel saving in IMO's global containership study.
Last 24 hours
5.90%
Mean saving when optimization starts only one day before arrival.
Last 12 hours
4.23%
Even late information still produced modeled savings.
VDES regulation
2028
IMO's new VDES framework is expected to enter into force January 1.

The fuel problem is not anchoring. It starts hundreds of miles earlier.

Conventional arrival

Hurry up

Maintain 17–20 kn

The ship protects the published ETA because the berth situation is uncertain or the revised information arrives too late to change the voyage economically.

THEN
Port outcome

Wait

Anchor for hours

Main propulsion savings begin only after the high-speed portion of the voyage has already been completed.

JIT arrival

Receive the delay early

Add voyage time

A trusted berth-readiness update gives the vessel permission to use part of the expected waiting time before reaching port.

THEN
Voyage outcome

Slow down

Burn less underway

The ship arrives closer to the time the berth, fairway and required nautical services are actually available.

The useful mental model
Anchorage waiting is stored speed. If twelve hours of delay becomes known while enough voyage distance remains, some of those twelve hours can be converted into a lower average speed rather than spent stationary outside the port.

PASUVO is trying to turn port readiness into a live speed instruction

The project joins Sternula, Sternula Japan and Tokyo University of Marine Science and Technology. Its architecture combines ship-port communications with historical and live vessel data and data-driven optimization.

The arrival-information loop

Port state → vessel action
01

Port changes

Berth, service or vessel conditions alter the realistic arrival window.

02

AIS updates

Historical and live vessel movement helps describe the evolving traffic situation.

03

Target recalculated

Route, speed and arrival timing are optimized around the new conditions.

04

VDES sends

The updated arrival information can move between ship and port digitally.

05

Ship adjusts

The vessel changes speed while sufficient distance remains to create savings.

06

Repeat

The target continues to move as port and voyage conditions change.

How early the ship learns about the delay changes the value dramatically

Maximum modeled window
14.16%

Optimize the whole voyage

IMO's global containership analysis found the largest average saving when JIT speed optimization could begin across the full voyage.

Useful operational window
5.90%

Final 24 hours

Even one day of useful advance information captured a meaningful portion of the available efficiency.

Late but still valuable
4.23%

Final 12 hours

The study still found material average savings when the speed change began only half a day before arrival.

Important distinction
These percentages are averages from a modeled global container-shipping study. They are not expected savings from PASUVO and they should not be applied mechanically to every voyage. A specific delayed voyage can produce a much larger or much smaller opportunity.

A few knots matter because propulsion power does not fall linearly with speed

Screening relationship

Slow steaming attacks the high-energy part of the voyage

For displacement ships in a suitable operating range, required propulsion power often changes roughly with the cube of speed. Real vessels depart from that simplified relationship because of weather, hull condition, propeller performance, engine limits and auxiliary loads, but the curve explains why early speed reduction can be much more valuable than simply eliminating fuel consumed at anchor.

18 → 17 kn
A small speed reduction creates modest additional voyage time but starts reducing propulsion demand immediately.
18 → 15 kn
More waiting time is absorbed at sea and the propulsion-power reduction becomes much more significant.
18 → 10 kn
Mathematically attractive does not automatically mean operationally optimal. Minimum economical engine load, weather, schedule recovery and maneuvering requirements place practical limits on slow steaming.

The berth forecast does not need to be perfect. It does need to be trusted.

A vessel cannot safely convert every predicted hour of delay into slower steaming if the berth could suddenly become available again. The useful variable is therefore not simply “expected waiting time.” It is the amount of waiting time the operator is confident enough to use.

90%

High-confidence delay

Most of the expected waiting window can potentially be converted into additional sailing time while retaining a small recovery buffer.

60%

Uncertain berth

Slow down, but preserve enough speed margin to recover if the preceding vessel leaves earlier than expected.

20%

Weak forecast

A large theoretical delay may produce little practical JIT opportunity if the master cannot rely on it.

Why continuous updates matter
A static ETA solves only part of the problem. Recent 2026 research on Hong Kong container operations found that probabilistic berth-availability forecasts supported more robust speed decisions than a single reported departure time. The ship needs a target plus uncertainty, and it needs both early enough to act.

Three different savings are hiding inside one JIT voyage

Fuel-saving mechanism Not all savings come from anchorage
Mechanism What changes Fuel effect What limits it JIT value
Lower voyage speed Waiting time is converted into additional sailing time. Main-engine power demand falls. Minimum economical speed, schedule and weather. Largest lever
Less anchorage Ship reaches port closer to berth availability. Auxiliary and hotel-load fuel at anchor is reduced. Some final waiting may remain unavoidable. Direct saving
Less arrival maneuvering Less low-speed circulation or repositioning while waiting. Can reduce inefficient maneuvering consumption. Port layout and traffic conditions. Secondary
Better berth utilization Arrivals align more closely with actual terminal capacity. Fleet-level efficiency rather than one simple fuel line. Requires port-side participation and reliable timestamps. System benefit
Over-slowing Ship reduces speed below an efficient or recoverable range. Theoretical savings may not materialize as modeled. Engine load, fouling, weather and berth uncertainty. Control needed

VDES is the nervous system, not the fuel-saving device

More data

Beyond AIS position reports

VDES expands the maritime VHF data environment with higher-capacity digital channels suitable for structured ship-to-shore and shore-to-ship information exchange.

Two-way coordination

Port can talk back

The JIT problem requires more than knowing where the vessel is. Port readiness and revised targets must also reach the ship in a machine-readable operational workflow.

Regulatory maturity

Moving into SOLAS

IMO adopted the VDES regulatory framework in 2026, with the relevant new provisions expected to enter into force in January 2028.

“Never wait at anchor” is the goal, not a realistic guarantee

01

Berths move

Cargo operations can finish earlier or later than forecast. A JIT plan needs recovery margin when the berth-ready target changes.

02

Weather moves

Wind, waves, current and route restrictions can alter the speed required to protect the new arrival target.

03

Ships have speed floors

The mathematically ideal JIT speed may be below the practical operating range of the main engine or incompatible with other voyage constraints.

04

Ports need more than a berth

Pilotage, tugs, fairway access, linesmen and terminal services also have to align with the arrival window.

05

Contracts still matter

Charter-party obligations and commercial incentives can determine whether the party controlling speed actually benefits from slowing down.

06

Late information has less value

A six-hour delay discovered 1,500 miles out is a speed opportunity. The same delay discovered twenty miles from the pilot station is mostly still waiting time.

Just-in-Time Fuel Savings Simulator

Give the ship a distance to go, current planned speed and expected berth delay. Then change how trustworthy the port forecast is. The model calculates how much of the waiting can be absorbed at sea and how much fuel might be avoided.

ShipUniverse Arrival Optimization Console

How much is an early berth-delay message worth?

The model compares “rush and wait” against a JIT case using a simplified propulsion-power curve, a minimum operating speed and a confidence-adjusted arrival target.

Berth feed connected
Voyage
Fuel model
Remainder behaves as speed-independent auxiliary load.
Berth confidence
Share of forecast delay considered safe to use for slowing.
Editable screening assumption.
Recommended JIT speed
13.8 kn

Most of the expected anchorage delay can be converted into slower steaming while retaining a recovery margin.

Fuel saved 35.7 t
Voyage fuel reduction 31.5%
Bunker value $23,186
CO₂ avoided 111 t
Anchorage avoided 13.6 h
Residual waiting 4.4 h
Rush-and-wait versus JIT
Rush-and-wait fuel 113.4 t
JIT fuel 77.7 t
Compare with IMO fleet-level study
Whole voyage
14.16%
Last 24h
5.90%
Last 12h
4.23%
Operational interpretation High-value JIT window

Enough distance remains to absorb a large share of the expected delay without reaching the model's minimum speed.

ShipUniverse screening model only. It is not a voyage-planning or engine-control tool. The model assumes sea fuel at the entered baseline speed, applies a simplified cube-law relationship only to the entered speed-sensitive share of consumption, and treats the remaining load as speed independent. It does not model weather, currents, engine SFOC curves, minimum engine load, hull fouling, contractual requirements, schedule recovery, safety margins, traffic separation schemes, pilotage or actual berth-control authority. Results can exceed IMO fleet-average JIT percentages because this simulator analyzes a specific voyage with an explicit expected delay rather than an average across global voyages.
Research basis: Sternula's October 1, 2026 announcement of PASUVO, Port Arrival System Using VDES and Data-Driven Optimization; Sternula Japan and Tokyo University of Marine Science and Technology project participation; IMO-Norway GreenVoyage2050 Just-In-Time Arrival resources and global containership emissions-reduction study; 2026 Transportation Research Part E studies on AI-assisted JIT coordination and probabilistic berth-availability forecasting; IMO MSC 111 adoption of the VDES regulatory framework; and ITU/IALA technical descriptions of VDES. PASUVO has not yet published measured fuel-saving results. ShipUniverse simulator outputs are illustrative engineering estimates.
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