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Techno-Economic Assessment of Marine Fuels for Container Ships: A Net Present Value-Based Investment Analysis

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  • Burak Göksu

    (Department of Marine Engineering, Zonguldak Bulent Ecevit University, Zonguldak 67300, Türkiye)

  • Berk Yıldız

    (Department of Maritime Business Administration, Zonguldak Bulent Ecevit University, Zonguldak 67300, Türkiye)

  • Metin Danış

    (Department of Maritime and Port Management, Zonguldak Bulent Ecevit University, Zonguldak 67300, Türkiye)

Abstract

This study evaluates the financial viability of different main engine–fuel configurations for a container vessel on a standardized Trans-Pacific route. Using Net Present Value (NPV) analysis over a 10 year evaluation period (2024–2033), it compares six propulsion scenarios, combining three Wärtsilä engine types and four fuel alternatives (HFO, LFO, LNG, Methanol). The framework integrates technical parameters, including engine power and fuel consumption, with financial instruments such as the Weighted Average Cost of Capital (WACC) and the Capital Asset Pricing Model (CAPM). Results show that the LNG-powered Wärtsilä 8V31DF achieves the highest NPV. Despite requiring the highest initial capital expenditure (CAPEX), this configuration delivers superior financial performance and remains robust under volatile market conditions. Sensitivity tests with ±20% freight–fuel shocks and alternative discount rates (5%, 7.18%, 10%) confirm that the relative ranking of propulsion options is stable. Methanol yields negative NPVs under current prices but could become competitive with bio-methanol cost reductions or strong carbon pricing. Limitations include constant non-fuel OPEX, fixed sea state, and the exclusion of explicit carbon price scenarios. From a policy perspective, LNG appears most viable in the short term, while long-term strategies should consider ammonia and hydrogen in line with IMO decarbonization pathways.

Suggested Citation

  • Burak Göksu & Berk Yıldız & Metin Danış, 2025. "Techno-Economic Assessment of Marine Fuels for Container Ships: A Net Present Value-Based Investment Analysis," Sustainability, MDPI, vol. 17(17), pages 1-22, September.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:17:p:7967-:d:1741912
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    References listed on IDEAS

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    1. Islam, M.R. & Saidur, R. & Rahim, N.A., 2011. "Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function," Energy, Elsevier, vol. 36(2), pages 985-992.
    2. Ioannis Kyriakou & Panos K. Pouliasis & Nikos C. Papapostolou & Nikos K. Nomikos, 2018. "Income uncertainty and the decision to invest in bulk shipping," European Financial Management, European Financial Management Association, vol. 24(3), pages 387-417, June.
    3. Mohammed H. Alshareef & Ayman F. Alghanmi, 2024. "Optimizing Maritime Energy Efficiency: A Machine Learning Approach Using Deep Reinforcement Learning for EEXI and CII Compliance," Sustainability, MDPI, vol. 16(23), pages 1-28, November.
    4. Alejandro Ortega & Konstantinos Gkoumas & Anastasios Tsakalidis & Ferenc Pekár, 2021. "Low-Emission Alternative Energy for Transport in the EU: State of Play of Research and Innovation," Energies, MDPI, vol. 14(22), pages 1-22, November.
    5. Theodoros C. Zannis & John S. Katsanis & Georgios P. Christopoulos & Elias A. Yfantis & Roussos G. Papagiannakis & Efthimios G. Pariotis & Dimitrios C. Rakopoulos & Constantine D. Rakopoulos & Athanas, 2022. "Marine Exhaust Gas Treatment Systems for Compliance with the IMO 2020 Global Sulfur Cap and Tier III NO x Limits: A Review," Energies, MDPI, vol. 15(10), pages 1-49, May.
    6. Ding Liu & Zhang Zhonghao & Jin Zhang & Xunjie Gou, 2022. "Incorporating Sulfur and CO2 Emission Reduction Options into the Container Fleet Capacity Renewal Alternatives for a Shipping Operator in the Post-COVID-19 Era," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-14, July.
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