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Abstract

Policy adaptation and the dynamic advantages of green technologies play a crucial role in optimizing decarbonization strategies for shipping companies. In this paper, a nonlinear mixed-integer model is developed to optimize fleet renewal, deployment, and sailing speed for liner fleets under the European Union (EU) emission trading system (ETS). Three heuristic algorithms are evaluated, and sensitivity analyses provide insights into the optimal timing and strategies for transitioning to alternative fuels under varying market conditions and policy scenarios. The results indicate that the model can contribute to the adjustment of strategies in response to the implementation of ETS and carbon emission reduction. The sensitivity analysis reveals that, in the short term, speed reduction and the adoption of energy-efficient technologies are prioritized, while transitioning to alternative fuels is essential for achieving long-term decarbonization goals. However, uptake costs are identified as the primary barrier to the widespread use of alternative fuels, and ETS alone may be insufficient to drive this transition. These findings provide valuable insights for policymakers in designing effective ETS frameworks for other regions and countries.

Keywords

decarbonization strategy strategy optimization liner fleet emission trading policy carbon emission

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Decarbonization Strategy Optimization for Liner Fleet under Emission Trading Policy

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