DOI QR코드

DOI QR Code

A Study on the Verification Method of Ships' Fuel Oil Consumption by using AIS

  • Yang, Jinyoung (Department of Maritime Transportation System, Mokpo National Maritime University)
  • Received : 2019.04.18
  • Accepted : 2019.05.28
  • Published : 2019.05.31

Abstract

Since 2020, according to the International Convention for the Prevention of Pollution from Ships (MARPOL) amended in 2016, each Administration shall transfer the annual fuel consumption of its registered ships of 5,000 gross tonnage and above to the International Maritime Organization (IMO) after verifying them. The Administration needs stacks of materials, which must not be manipulated by ship companies, including the Engine log book and also bears an administrative burden to verify them by May every year. This study considers using the Automatic Identification System (AIS), mandatory navigational equipment, as an objective and efficient tool among several verification methods. Calculating fuel consumption using a ship's speed in AIS information based on the theory of a relationship between ship speed and fuel consumption was reported in several examples of relevant literature. After pre-filtering by excluding AIS records which had speed errors from the raw data of five domestic cargo vessels, fuel consumptions calculated using Excel software were compared to actual bunker consumptions presented by ship companies. The former consumptions ranged from 96 to 123 percent of the actual bunker consumptions. The difference between two consumptions could be narrowed to within 20 percent if the fuel consumptions for boilers were deducted from the actual bunker consumption. Although further study should be carried out for more accurate calculation methods depending on the burning efficiency of the engine, the propulsion efficiency of the ship, displacement and sea conditions, this method of calculating annual fuel consumption according to the difference between two consumptions is considered to be one of the most useful tools to verify bunker consumption.

Keywords

References

  1. ABS(2013), Ship Energy Efficiency Measures Advisory, p. 5.
  2. Baldauf, M.(2017), Maritime Safety Equipment, Mar. 2017, Malmo, World Maritime University.
  3. Coello, J., I. Williams, D. A. Hudson and S. Kemp(2015), An AIS-based Approach to Calculate Atmospheric Emissions from the UK Fishing Fleet, Atmospheric Environment, Vol. 114, pp. 1-7. https://doi.org/10.1016/j.atmosenv.2015.05.011
  4. DNV-GL(2015), Emissions from Ships Operating in the Greater Metropolitan Area, Tech. no. 1K2V16P-6.
  5. DNV-GL(2019), IMO DCS-Reporting and Verification, www.dnvgl.com/maritime/imo-dcs/reporting-verification.html. Accessed 13 Apr. 2019.
  6. EPA(2009), Environmental Protection Agency, Regulatory Impact Analysis: Control of Emissions of Air Pollution from Category 3 Marine Diesel Engines, pp. 3-5-3-13
  7. European Environment Agency(2016), 1.A.3.d Navigation (shipping) 2016, EMEP/EEA Air Pollutant Emission Inventory Guidebook 2016.
  8. Fung, F., Z. Zhu, R. Becque and B. Finamore(2014), The Prevention and Control of Shipping and Port Emissions in China, The National Resources Defense Council (NRDC), pp. 1-50.
  9. IMO(2002), Automatic Identification Systems (AIS), www.imo.org/en/OurWork/Safety/Navigation/Pages/AIS.aspx. Accessed 31 Mar. 2019.
  10. IMO(2015), Third Greenhouse Gas Study 2014, p. 74, pp. 113-117, pp. 160-178.
  11. IMO(2019), Energy Efficiency Measures, www.imo.org/en/OurWork/Environment/PollutionPrevention/AirPollution/Pages/Technical-and-Operational-Measures.aspx. Accessed 31 Mar. 2019.
  12. Jalkanen, J. P., A. Brink, J. Kalli, H. Pettersson, J. Kukkonen and T. Stipa(2009), A Modelling System for the Exhaust Emissions of Marine Traffic and Its Application in the Baltic Sea Area, Atmospheric Chemistry and Physics, 9, pp. 9209-9223. https://doi.org/10.5194/acp-9-9209-2009
  13. Jeon, J. H. and T. G. Jeong(2016), Studies on the Improvement and Analysis of Data Entry Error to the AIS System for the Traffic Ships in the Korean Coastal Area. Journal of Fisheries and Marine Sciences Education, Vol. 28, No. 6, pp. 1812-1821. https://doi.org/10.13000/JFMSE.2016.28.6.1812
  14. KHOA(2019), Korea Hydrographic and Oceanographic Agency, Ocean Observation Newsletter 3rd Quarter, pp. 22-33.
  15. MOF(2019), Ministry of Ocean and Fisheries, The Status of AIS Shore Station, www.mof.go.kr/article/view.do?menuKey=615&boardKey=2&articleKey=25272. Accessed 30 Mar. 2019.
  16. Perez, H. M., R. Chang, R. Billings and T. L. Kosub(2009), Automatic Identification Systems (AIS) Data Use in Marine Vessel Emission Estimation, Proc. of 18th Annual International Emission Inventory Conference, Baltimore, US, pp. 1-21.
  17. Rakke, S. G.(2016), Ship Emissions Calculation from AIS, Master Thesis, Norwegian University of Science and Technology.
  18. Rodriguez, G. D. M., E. Martin-Alcalde, J. C. Murcia-Gonzalez and S. Saurí(2017), Evaluating Air Emission Inventories and Indicators from Cruise Vessels at Ports, WMU Journal of Maritime Affairs, Vol. 16, No. 3, pp. 405-420. https://doi.org/10.1007/s13437-016-0122-8
  19. TecnoVeritas(2018), Ship Energy Efficiency as Competitiveness Factor for Revamping or Scrapping Decisions, www.tecnoveritas.net/media/newsletters/marine-industry/revamping-or-scrapping-decisions. 26 Sept. 2018. Accessed 15 Apr. 2019.
  20. UNCTARD(2018), Review of Maritime Transport 2018, ISBN 978-92-1-112928-1, p. 28.
  21. Yao, X., J. Mou, P. Chen and X. Zhang(2016), Ship Emission Inventories in Estuary of the Yangtze River Using Terrestrial AIS Data, The International Journal on Marine Navigation and Safety of Sea Transportation (TransNav), Vol. 10, No. 4, pp. 633-640. https://doi.org/10.12716/1001.10.04.13
  22. Youn, Y. J., S. H. Jun and S. B. Moon(2013), Terrestrial Navigation, 2nd ed., Korea Maritime University, pp. 305-306.