CASE STUDIES / EMISSIONS · AUG 2024
Better scheduling cuts fleet CO2 by 23%.
Replacing spreadsheet scheduling with emissions-aware optimisation cuts fuel burn and CO2 across a 40-vessel book, scaling to twenty million tonnes a year fleet-wide.
-23%
FLEET CO2 VS MANUAL SCHEDULING, WITH A CO2 OBJECTIVE
Three levels of the same book.
01 · THE SETUP
Three portfolios built on identical inputs: 40 vessels, 200 cargoes, six months. They differ only in how the schedule is computed, from feasible-only spreadsheets to profit-and-emissions optimal.
40 VESSELS · 200 CARGOES · 6 MONTHS · ALL CONTRACTUAL OBLIGATIONS FULFILLED IN EVERY CASE
Manual
Industry-standard spreadsheet scheduling. All contractual obligations met, but only a feasible solution, not an optimal one.
AI-optimised
Profit-based ADP and schedule optimisation: routing, speed, bunker and idle time decided together.
AI + CO2 objective
Profit maximised and emissions minimised in the same objective function.
CO2 steps down twice.
02 · THE RESULT
Moving from manual to optimised scheduling cuts emissions about 16% through less fuel burn, boil-off and idle loss. Adding the CO2 objective takes a further 11%, for 23% total against the spreadsheet.
FUEL AND BOG CONSUMPTION: ~39M / ~34M / ~30M MMBTU ACROSS THE THREE CASES
Straight from the engine.
03 · ENGINE OUTPUT
The two result charts of the run: emissions stepping down twice, and the consumption stack that drives them.
04 · THE VERDICT
The same book, scheduled better, burns less:
minus 23% CO2 against the spreadsheet.
Routing, speed and idle time decided together cut fuel, boil-off and idle loss at once, and the CO2 objective sharpens the schedule further while profit stays maximised. At fleet scale the same discipline reaches twenty million tonnes a year.
From one book to the world fleet.
05 · THE SCALE
The best case saves roughly 475,000 tonnes of CO2 in six months on 40 vessels. Annualised and extrapolated to the global fleet of about 800 carriers, the potential reaches twenty million tonnes a year.
475K T
CO2 SAVED IN 6 MONTHS · 40 VESSELS
~1M T
PER YEAR · 40 VESSELS
20M T
PER YEAR · GLOBAL FLEET OF ~800 CARRIERS
~800M
TREE EQUIVALENT, ILLUSTRATIVE
What cleaner scheduling buys.
06 · TAKEAWAYS
Optimisation alone cuts 16%
Less fuel burn, boil-off and idle loss, because routing, speed and idle time are decided together rather than cargo by cargo.
The CO2 objective takes a further 11%
23% total against the spreadsheet, with every contractual obligation still fulfilled and profit maximised in the same run.
The fleet-scale number is an extrapolation
475,000 tonnes in six months on 40 vessels annualises to roughly one million; the twenty-million-tonne figure assumes the global fleet of about 800 carriers schedules the same way.
Modelled with X-LNG.
07 · THE TOOL
Your world goes in
Contracts, vessels, charter rates, prices, spot assumptions and constraints. The full book, not a slice.
One optimal plan comes out
Feasible, P&L-maximising and constraint-compliant, re-solved for every scenario in minutes.
Every number checks out
Each result can be recalculated by hand. Transparency your risk committee can audit.
CLOUD-BASED, ANY PORTFOLIO SIZE · BUILT AND ADVANCED DAILY BY ~25 MATHEMATICIANS, PHYSICISTS AND COMPUTER SCIENTISTS