Shipping fuel demand projections vary widely for 2100

Projections for global shipping fuel demand in 2100 vary significantly, with one author estimating annual consumption at 70 million tonnes. This figure sits well below other available estimates, which suggest demand could reach several hundred million tonnes by the end of the century.

The wide divergence highlights the uncertainty surrounding the sector’s long-term energy transition. While some models point to a substantial reduction in fossil fuel use, others anticipate continued heavy reliance on marine fuels. CleanTechnica reports on this discrepancy to illustrate the lack of consensus among analysts regarding the future scale of shipping’s energy needs.

These differing outlooks have implications for investment strategies and policy planning within the maritime industry. Stakeholders must navigate a landscape where potential demand could be an order of magnitude higher or lower than the most optimistic decarbonization scenarios.

Current Freight Composition

Maritime freight tonnage is currently dominated by energy resources and raw materials. Coal, oil, and gas account for 40% of total cargo volume, while raw iron ore represents 15%. This composition indicates that a significant portion of global shipping traffic is dedicated to transporting the very fossil fuels and industrial inputs that drive current energy systems.

Aviation and Travel Behavior

Aviation demand presents a distinct dynamic compared to maritime freight, with 91% of travel classified as discretionary. This high proportion means passenger volumes are highly sensitive to economic shifts and ticket pricing. Unlike essential daily commuting, which remains relatively stable regardless of cost, discretionary trips can be postponed or cancelled when fares rise. Consequently, aviation fuel consumption is closely tied to consumer spending power and price elasticity. This sensitivity creates a variable demand profile that contrasts sharply with the steady, inelastic nature of critical supply chain logistics. Understanding this behavioral difference is vital for modeling long-term energy needs, as voluntary reductions in air travel can significantly alter fuel projections without any change in underlying operational efficiency or fleet technology.

Carbon Removal and Policy Uncertainties

Beyond fuel demand, long-term projections face significant unknowns regarding mitigation strategies and economic behaviors:

• The exact future scale and cost of carbon-removal technologies remain undefined.
• It is unclear how readily governments will accept policies that increase travel costs.
• Future computing requirements for data centers are unknown.

These gaps complicate modeling efforts because they represent variables that can drastically shift energy balances without direct changes to fleet efficiency. Carbon removal, for instance, could theoretically offset emissions from hard-to-abate sectors, but its economic viability at scale is currently speculative. Similarly, policy interventions aimed at curbing aviation or maritime travel through price adjustments depend on political will that has yet to be demonstrated.

Data center growth adds another layer of complexity, as rising computational needs drive electricity demand that may compete with industrial energy supplies. Without concrete data on the cost curves of removal technologies or the political feasibility of stricter travel policies, analysts cannot fully account for these potential offsets or constraints. This uncertainty means that even if fuel demand projections converge, the net environmental impact of shipping and aviation remains difficult to predict.

What to watch

Future refinements to these long-term models will likely hinge on how analysts handle specific sectoral assumptions and stakeholder engagement. At the Earth Set event hosted by Octopus Energy at its London headquarters, Amy Rennison discussed the energy transition assumptions underlying the projections with the report’s author. These discussions highlight that the final numbers depend heavily on the foundational premises chosen by modelers.

A critical open question involves the treatment of carbon dioxide sources. The distinction between concentrated biogenic carbon dioxide storage and dilute carbon dioxide capture remains a significant variable. The feasibility and cost profiles of these two pathways differ substantially, yet their relative importance in 2100 scenarios is not fully settled. Clarifying which mechanism dominates in various regions will directly impact the calculated net emissions and fuel demand trajectories.

Social acceptance also plays a decisive role in validating these projections. Helen Czerski, an ocean physicist, challenged the author’s treatment of aviation demand, pointing to the need for more robust behavioral modeling. Beyond aviation, the broader issue of public support for energy infrastructure remains unresolved. Current approaches often rely on national opinion polls to gauge project viability, but this method may not capture local benefits or community engagement effectively. Future policy frameworks will need to determine whether local consensus can override or supplement national sentiment. Until these social and technical variables are better defined, the wide disparity in shipping fuel demand estimates will persist, leaving stakeholders without a clear consensus on the scale of future energy requirements.