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Volume 10 - Summer and Autumn 2018                   ijmt 2018, 10 - Summer and Autumn 2018: 7-13 | Back to browse issues page


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soleymani A, sharifi M H, edalat P, sharifi M M, karim zadeh S. Linear Modelling of Marine Vessels Fuel Consumption for Ration of Subsidized Fuel. ijmt 2018; 10 :7-13
URL: http://ijmt.ir/article-1-637-en.html
1- Marine Engineering Department of Petroleum University of Technology
2- Faculty Member of Marine Engineering Department, Petroleum University of Technology
3- member of Islamic Republic of Iran Railways Company
4- member of National Iranian Oil Products Distribution Company
Abstract:   (5548 Views)
An approach to deal with the phenomenon of maritime fuel smuggling is to control the quantity of fuel that is supplied to vessels. For the same reason, fuel is delivered to marine vessels in Iran in accordance with the ration defined by the National Iranian Oil Products Distribution Company (NIOPDC). The ration is determined by a fuel consumption formula defined by the Food and Agriculture Organization of the United Nations (FAO) which is used to estimate the fuel cost of agricultural and road construction equipment and machinery. The use of this formula for maritime usage renders fuel allocation to vessels inappropriate. This paper makes a database containing the specifications of 452 vessels, including length, width, summer draft, economical speed, engine power and hourly fuel consumption values. Then, a linear model is estimated over the available database. Ordinary least square method is used for regression analysis. Then, the estimated linear model is compared with FAO formula and linear model is selected as the optimum model to estimate vessel fuel consumption as close to the actual value of fuel consumption as possible. This linear model contains three parameters: engines power, economical speed, and immersed volume as defined by multiplying three parameters of length, width, and summer draft.  In general, the amount of fuel consumption estimated by FAO formula is about 50% greater than that estimated by the linear model.
Full-Text [PDF 580 kb]   (4899 Downloads)    
Type of Study: Research Paper | Subject: Maritime Transport and Port Management
Received: 2018/02/7 | Accepted: 2018/06/19

References
1. M.J. Hutchinson, (1982), An Estimate of Operating Costs for Bulk, Ro-Ro and Container Ships, Australian Government Publications, Canberra, Australia.
2. A. Schrady, K. Smyth and B. Vassian, (1996), Predicting Ship Fuel Consumption, Tech. report, NPS-OR-96-007, Naval Postgraduate School, Monterey, California, May. See also URL http://www.nps.edu.
3. S. Davie, C. Minto, R. Officer, C. Lordan and E. Jackson, (2014), Modelling Fuel Consumption of Fishing Vessels for Predictive Use, ICES Journal of Marine Science, 72(2), June, pp. 708-719, doi:10.1093/icesjms/fsu084. [DOI:10.1093/icesjms/fsu084]
4. J.H.J. Hulskotte, B. Wester, A.M. Snijder, M. Rijnmond and V. Matthias, (2014), International Survey of Fuel Consumption of Seagoing Ships at Berth, Tech. report, CNSS Work package 5, Clean North Sea Shipping (CNSS), Rotterdam Main Port University of applied sciences, May. See also URL http://www.shipemissions.eu.
5. W. Górski, T.A. Gerigk and Z. Burciu, (2013), The Influence of Ship Operational Parameters on Fuel Consumption, Scientific Journals of the Maritime University of Szczecin, 36(8), May, pp. 49-54.
6. Q. Menga, Y. Dub and Y. Wanga, (2015), Shipping Log Data Based Container Ship Fuel Efficiency Modeling, Journal of Transportation Research, 83(16), May, pp. 207-229, doi: 10.1016/j.trb.2015.11.007. [DOI:10.1016/j.trb.2015.11.007]
7. B.P. Pedersen and J. Larsen, (2008), Modeling of Ship Propulsion Performance, World Maritime Technology Conference (WMTC2009), Jan.
8. T.E. Notteboom and B. Vernimmen, (2008), The Effect of High Fuel Costs on Liner Service Configuration in Container Shipping, Journal of Transport Geography, 17(5), May, pp. 325-337, doi: 10.1016/j.jtrangeo.2008.05.003. [DOI:10.1016/j.jtrangeo.2008.05.003]
9. J.H.J. Hulskotte and H.A.C. Denier van der Gon, (2009), Fuel Consumption and Associated Emissions from Seagoing Ships at Berth Derived from an On-Board Survey, Journals of Atmospheric Environment, 44(10), May, pp. 1229-1236, doi: 10.1016/j.atmosenv.2009.10.018. [DOI:10.1016/j.atmosenv.2009.10.018]
10. T. Borkowski, L. Kasyk and P. Kowalak, (2011), Assessment of Ships Engine Effective Power Fuel Consumption and Emission Using the Vessel Speed, Journal of KONES Powertrain and Transport, 18(2), May, pp. 31-39.
11. ACCESS, (2014), Calculation of Fuel Consumption per Mile for Various Ship Types and Ice Conditions in Past, Present and in Future, Tech. report, Project NO. 265863, Arctic Climate Change Economy and Society (ACCESS), May. See also URL http://www.access-eu.org.
12. P. Agnolucci, T. Smith and N. Rehmatulla, (2014), Energy Efficiency and Time Charter Rates: Energy Efficiency Savings Recovered by Ship Owners in the Panamax Market, Journal of Transportation Research, 66(14), May, pp. 173-184, doi: 10.1016/j.tra.2014.05.004. [DOI:10.1016/j.tra.2014.05.004]
13. N. Bialystocki and D. Konovessis, (2016), On the Estimation of Ship's Fuel Consumption and Speed Curve: A Statistical Approach, Journal of Ocean Engineering and Science, 1(16), May, pp. 157-166, doi: 10.1016/j.joes.2016.02.001. [DOI:10.1016/j.joes.2016.02.001]
14. EPA, (2000), Analysis of Commercial Marine Vessels Emissions and Fuel Consumption Data, Tech. report, Rep. EPA420-R-00-002, U.S. Environmental Protection Agency, Office of Transportation and Air Quality, May. See also URL https://www.epa.gov.
15. D.N. Gujarati, (2003), Basic Econometrics, 4th Edition, McGraw Hill Publications, New York, USA.
16. R. Heinrich, (1992), Cost Control in Forest Harvesting and Road Construction, Food and Agriculture Organization of the United Nations Publications, Rome, Italy.
17. NIOPDC Business Management Unit, (2015), Fuel Selling Instruction to Marine Vessels. (In Persian)
18. A.H. Safargholi, A. Mohammadi, M. Najjar, A. Hajmohammadi and S.M. Seyed Karimi, (2015), Iranian Marine Statistics, Vice-Presidency for Science and Technology of Presidency of the Islamic Republic of Iran. (In Persian)
19. F. Baldia, H. Johnsona, C. Gabrieliia and K. Anderssona, (2014), Energy Analysis of Ship Energy Systems – the Case of a Chemical Tanker, Journal of Energy Procedia, 61(14), May, pp. 1732-1735, doi: 10.1016/j.egypro.2014.12.200. [DOI:10.1016/j.egypro.2014.12.200]
20. Tony Molland, (2008), Maritime Engineering Reference Book, Butterworth-Heinemann Publications, Burlington, USA.
21. D.A. Taylor, (1996), Introduction to Marine Engineering, Second Edition, Elsevier Butterworth-Heinemann publications, Burlington, USA.
22. L. Jackson and T.D Morton, (1999), General Engineering Knowledge for Marine Engineers, Thomas Reed Publications, United Kingdom.
23. W.E. Griffiths, R.C. Hill and G.C. Lim, (2008), Using EViews for Principles of Econometrics, Third Edition, Wiley Publications, New Jersey, United States.

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