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A New Method of Determining Energy Efficiency Operational Indicator for Specialized Ships

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  • Katarzyna Prill

    (Institute of Marine Power Plants, Maritime University of Szczecin, ul. Waly Chrobrego 1-2, 70-500 Szczecin, Poland)

  • Cezary Behrendt

    (Institute of Marine Power Plants, Maritime University of Szczecin, ul. Waly Chrobrego 1-2, 70-500 Szczecin, Poland)

  • Marcin Szczepanek

    (Institute of Marine Power Plants, Maritime University of Szczecin, ul. Waly Chrobrego 1-2, 70-500 Szczecin, Poland)

  • Iwona Michalska-Pożoga

    (Department of Mechanical Engineering, Koszalin University of Technology, Raclawicka 15-17, Koszalin 75-620, Poland)

Abstract

Limitation of CO 2 emission is one of the main goals and regulations introduced by the international institutions’ rules. In the case of ships using oil-related and gas fuels this problem is dealt with by the International Maritime Organization (IMO) introducing the methodology of Energy Efficiency Operational Indicator ( EEOI ) determining for ships being under exploitation. The methodology allows for determining EEOI for seven types of ships, for which the value of this index depends on the amount of transported cargo or number of passengers, type of and amount of fuel used, as well as distance travelled by the ship. Such a methodology cannot be used for the specialized ships, whose exploitation tasks are different to the ships of the trade fleet that transport the cargo or the passengers. The methodology allows for determining EEOI for seven types of ships and it does not include specialized ships. The article presents a new methodology of determining EEOI for specialized ships that takes the characteristics of their exploitation into consideration. The way of its use has been presented taking into account the results of exploitation studies carried out on the chosen research and training ship. Obtained results and their analysis allowed for energy efficiency assessment of research and training ships depending on exploitation tasks, voyage time, type of fuel used, distance travelled and ship’s speed. EEOI index value determines energy efficiency of the vessel power system that is directly connected to the amount of the liquid or gas fuel used and the amount of emitted CO 2 . The aim should be to minimalize the value of EEOI index through planning of the exploitation tasks realization order and adjusting the speed of the ship as well as realization time of particular exploitation tasks, in the case of specialized ships. The analysis results can also be used when managing energy efficiency of these types of ships.

Suggested Citation

  • Katarzyna Prill & Cezary Behrendt & Marcin Szczepanek & Iwona Michalska-Pożoga, 2020. "A New Method of Determining Energy Efficiency Operational Indicator for Specialized Ships," Energies, MDPI, vol. 13(5), pages 1-17, March.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1082-:d:326911
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    References listed on IDEAS

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    1. Haehl, Christian & Spinler, Stefan, 2018. "Capacity expansion under regulatory uncertainty:A real options-based study in international container shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 75-93.
    2. Gu, Yewen & Wallace, Stein W., 2017. "Scrubber: a potentially overestimated compliance method for the Emission Control Areas - The importance of involving a ship's sailing pattern in the evaluation," Discussion Papers 2017/13, Norwegian School of Economics, Department of Business and Management Science.
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    Cited by:

    1. Nestor Goicoechea & Luis María Abadie, 2021. "Optimal Slow Steaming Speed for Container Ships under the EU Emission Trading System," Energies, MDPI, vol. 14(22), pages 1-25, November.
    2. Cezary Behrendt & Oleh Klyus & Marcin Szczepanek, 2023. "Reductions in Energy Consumption and Emission of Harmful Exhaust Gases by Fishing Vessels," Energies, MDPI, vol. 16(20), pages 1-13, October.
    3. Chen, Xinqiang & Lv, Siying & Shang, Wen-long & Wu, Huafeng & Xian, Jiangfeng & Song, Chengcheng, 2024. "Ship energy consumption analysis and carbon emission exploitation via spatial-temporal maritime data," Applied Energy, Elsevier, vol. 360(C).

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