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Techno-economic and environmental risk analysis for advanced marine propulsion systems

Author

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  • Doulgeris, G.
  • Korakianitis, T.
  • Pilidis, P.
  • Tsoudis, E.

Abstract

A Techno-economic, Environmental and Risk Analysis (TERA) computational method has been developed for marine propulsion systems. The method comprises several numerical models which simulate the life cycle operation of marine gas turbines installed on marine vessels. Using a system-of-systems approach, the effect of operational profile can be taken into consideration in the assessment of a novel prime mover. Stochastic estimates of the powerplant’s life cycle net present cost are generated. The ship performance model plays a central role in the TERA method. This is an integrated virtual marine vessel operating environment that allows the calculation of engine performance and exhaust emissions (nitric oxide (NOx), carbon monoxide CO, carbon dioxide (CO2) and unburned hydrocarbon (UHC)) for a given trip. The life of the gas turbine is assessed through a creep-life prediction method, which plays a significant role on the maintenance cost calculation in the economic model. The economic model predicts net present cost over the operating life of the vessel using stochastic analysis of the earning capacity of the ship powered by the chosen prime mover. The TERA simulation of a 25MW marine gas turbine powering a RoPax fast ferry in an integrated full electric propulsion system is presented as an illustration of the method. The example includes aspects of the systemic analysis of engine and ship performance, accompanied by environmental effect and engine life prediction, coupled with an economic feasibility stochastic study of the selected propulsion system under several journey and economic scenarios.

Suggested Citation

  • Doulgeris, G. & Korakianitis, T. & Pilidis, P. & Tsoudis, E., 2012. "Techno-economic and environmental risk analysis for advanced marine propulsion systems," Applied Energy, Elsevier, vol. 99(C), pages 1-12.
    • Handle: RePEc:eee:appene:v:99:y:2012:i:c:p:1-12
    DOI: 10.1016/j.apenergy.2012.04.026
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    Citations

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    Cited by:

    1. Goldberg, C. & Nalianda, D. & Sethi, V. & Pilidis, P. & Singh, R. & Kyprianidis, K., 2018. "Assessment of an energy-efficient aircraft concept from a techno-economic perspective," Applied Energy, Elsevier, vol. 221(C), pages 229-238.
    2. Abdulaziz M. T. Alzayedi & Abdullah N. F. N. R. Alkhaledi & Suresh Sampath & Pericles Pilidis, 2023. "TERA of Gas Turbine Propulsion Systems for RORO Ships," Energies, MDPI, vol. 16(16), pages 1-16, August.
    3. Chih Chang, Ching & Chia Lai, Tin, 2013. "Carbon allowance allocation in the transportation industry," Energy Policy, Elsevier, vol. 63(C), pages 1091-1097.
    4. George N. Sakalis & George J. Tzortzis & Christos A. Frangopoulos, 2019. "Intertemporal Static and Dynamic Optimization of Synthesis, Design, and Operation of Integrated Energy Systems of Ships," Energies, MDPI, vol. 12(5), pages 1-50, March.
    5. Chai, Merlin & Bonthapalle, Dastagiri Reddy & Sobrayen, Lingeshwaren & Panda, Sanjib K. & Wu, Die & Chen, XiaoQing, 2018. "Alternating current and direct current-based electrical systems for marine vessels with electric propulsion drives," Applied Energy, Elsevier, vol. 231(C), pages 747-756.
    6. Nalianda, D.K. & Kyprianidis, K.G. & Sethi, V. & Singh, R., 2015. "Techno-economic viability assessments of greener propulsion technology under potential environmental regulatory policy scenarios," Applied Energy, Elsevier, vol. 157(C), pages 35-50.
    7. Pan, Pengcheng & Sun, Yuwei & Yuan, Chengqing & Yan, Xinping & Tang, Xujing, 2021. "Research progress on ship power systems integrated with new energy sources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    8. Kyprianidis, Konstantinos G. & Dahlquist, Erik, 2017. "On the trade-off between aviation NOx and energy efficiency," Applied Energy, Elsevier, vol. 185(P2), pages 1506-1516.
    9. Ghaforian Masodzadeh, Peyman & Ölçer, Aykut I. & Ballini, Fabio & Christodoulou, Anastasia, 2022. "How to bridge the short-term measures to the Market Based Measure? Proposal of a new hybrid MBM based on a new standard in ship operation," Transport Policy, Elsevier, vol. 118(C), pages 123-142.
    10. Trieste, S. & Hmam, S. & Olivier, J.-C. & Bourguet, S. & Loron, L., 2015. "Techno-economic optimization of a supercapacitor-based energy storage unit chain: Application on the first quick charge plug-in ferry," Applied Energy, Elsevier, vol. 153(C), pages 3-14.
    11. Abdulaziz M. T. Alzayedi & Suresh Sampath & Pericles Pilidis, 2022. "Techno–Economic and Risk Evaluation of Combined Cycle Propulsion Systems in Large Container Ships," Energies, MDPI, vol. 15(14), pages 1-14, July.
    12. Abdulaziz M. T. Alzayedi & Amit Batra & Suresh Sampath & Pericles Pilidis, 2022. "Techno-Environmental Mission Evaluation of Combined Cycle Gas Turbines for Large Container Ship Propulsion," Energies, MDPI, vol. 15(12), pages 1-13, June.
    13. Kyriakos Skarlatos & Andreas Fousteris & Dimitrios Georgakellos & Polychronis Economou & Sotirios Bersimis, 2023. "Assessing Ships’ Environmental Performance Using Machine Learning," Energies, MDPI, vol. 16(6), pages 1-21, March.
    14. Trivyza, Nikoletta L. & Rentizelas, Athanasios & Theotokatos, Gerasimos, 2019. "Impact of carbon pricing on the cruise ship energy systems optimal configuration," Energy, Elsevier, vol. 175(C), pages 952-966.

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