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Navigating the maritime fuel transition: How fuel economics, regulations, and fleet decisions shape the future bunkering landscape

Completed

Project overview

Timeline

September 2026

GCMD team members

Dr Bhushan TASKAR

Lead

Rex LEE

Wee Meng TAN

Partners

Boston Consulting Group (BCG)

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Background of the study


Two uncertainties are shaping the maritime fuel transition


The regulatory landscape continues to evolve. The International Maritime Organization (IMO)’s Net-Zero Framework (NZF) has yet to be adopted, with the next decision point at the 85th session of the Marine Environment Protection Committee (MEPC 85) in December 2026, while regional schemes such as the European Union Emissions Trading System (EU ETS) and FuelEU Maritime Regulation are already in force or advancing.


Whatever form the regulatory landscape ultimately takes, whether the NZF as proposed, a revised version, or an alternative mechanism, the key question remains the same: will it produce a carbon price signal strong enough to close the cost gap?

At the same time, fuel cost gaps between conventional and new fuels remain wide. How quickly, or whether, these gaps close will vary across fuel pathways and regions.


Shipowners must make long-term decisions before the economics are clear


With vessels lasting 25-30 years and only around 4% of the fleet renewed each year, many vessels ordered over the coming decade will still be operating in 2050.


Shipowners are therefore making long-lived engine choices before the relative economics of future fuels are clear.


Modelling how policy and fuel economics could shape shipping’s transition


To help stakeholders navigate these uncertainties, the Global Centre for Maritime Decarbonisation (GCMD) and Boston Consulting Group (BCG) have jointly developed an integrated model that examines these four questions:

1. Under which conditions do new fuels become economically competitive with conventional fuels?

2. Which factors strongly influence the adoption of different fuel pathways?

3. How do fuel economics influence engine ordering decisions and the long-term evolution of the fleet?

4. How might these developments reshape the future global bunkering landscape?








Hear from the team

This study uncovers an interesting dynamic between fuel-price evolution, engine uptake and actual fuel use. It shows that timing matters: near-term economics shape the orderbook, and the orderbook shapes which fuels can ultimately scale. The value of the work lies in identifying the key sensitivities and market signposts that shipowners, operators, fuel producers, and ports should watch as the transition unfolds.

Dr Bhushan TASKAR, Project Director, GCMD



Interview with Anand VEERARAGHAVAN, Managing Director & Senior Partner, BCG, on GCMD’s bunkering landscape model.


The maritime fuel transition is being shaped as much by policy and cost uncertainty as by technology readiness. Rather than offer a single prediction, our approach with GCMD maps how sensitive each fuel pathway’s competitive position is to a handful of critical variables—policy scenarios, key cost drivers, and potential restrictions. Our hope is that this gives shipowners, fuel suppliers, port operators, and infrastructure investors a practical tool to stress-test their own fuel strategies as conditions change.

Anand VEERARAGHAVAN, Managing Director & Senior Partner, BCG



Overview and scope of this model

What does this model examine?

What are the fuel pathways covered in this model?

What constitutes the cost of using new fuels?





Constituents of levelised cost of fuel use (Source: GCMD and BCG analysis)

What engine configurations are covered in this model?

Which policy scenarios are covered in this model?


Under which conditions do new fuels become economically competitive with conventional fuels?


What level of global carbon pricing would accelerate new fuel adoption?




Policy scenario comparison of fleet engine mix and energy consumption in 2050 (Source: GCMD and BCG analysis)

Which new fuel is more cost-competitive: e-methanol or e-ammonia?


Which factors strongly influence the adoption of different fuel pathways?

Which factors matter most for each new fuel pathway?



Four key uncertainties shaping fuel pathways’ competitivenes

How does LCOH impact e-fuel adoption?

How does biogenic CO₂ cost impact methanol adoption?

How does the bio-methanol cost trajectory impact methanol adoption?

How does regulation impact ethanol adoption?


How do fuel economics influence engine ordering decisions and the long-term evolution of the fleet?


Why does near-term fuel affordability matter for long-term fuel adoption?

What does it take for a new fuel to scale?


2050 energy consumption mix for fuel sensitivities (% of total fleet energy demand) 

Notes:
Total addressable energy demand is lower under the faster global decarbonisation considered for low LCOH (7.1 EJ) than under the base decarbonisation speed (8.6 EJ), primarily reflecting a faster structural decline in seaborne fossil fuel trade—particularly coal and crude oil cargo volumes—as the global energy transition accelerates. All fuel shares are presented as a percentage of each scenario’s respective total fleet energy demand.

Source: GCMD and BCG analysis


How might these developments reshape the future global bunkering landscape?


How will different fuels reshape the bunkering landscape?

What types of ammonia bunkering hubs could emerge?


Domestic e-ammonia and blue ammonia production cost vs total ship arrivals

Notes: 
(a) For production hubs, the lowest cost of production is used for plants with a commercial operation date by 2035, and a 15% decline in costs due to scale/ learning effects by 2050 is assumed 

Domestic e-ammonia and blue ammonia production cost (min, USD/t, 2050): The lower between e-ammonia and blue ammonia production cost in 2050 applied for ports based on countries where costs are available; For ports where country-specific data is unavailable, the closest proxy is used 

Total ship arrivals (M DWT, 2023): Latest data available from 2023; For Busan, Ulsan, and Chinese ports, ship arrivals (DWT) was unavailable and estimated by taking the ratio between the specified port and other key port’s total cargo throughput x ship arrivals (DWT). 

Unlabelled dots indicate additional ports covered by the analysis, shown to illustrate its scope; the chart is not a comprehensive listing of all ports assessed. 

Source: GlobalData, BCG H2 model, Expert interviews, Institute of Shipping Economics and Logistics, GCMD and BCG analysis


What should maritime stakeholders do now?

How should shipowners approach fleet investment amid fuel uncertainty?

How should trading routes inform shipowners’ engine choices?

How should ports position themselves for the future bunkering landscape?

How should investors assess new fuel infrastructure investments?

How can policymakers accelerate new fuel adoption?


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