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Cogent Engineering Volume 6, 2019 - Issue 1
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Research Article

VLCC’s fuel consumption prediction modeling based on noon report and automatic identification system

Ali Akbar Safaei1 Maritime Engineering Department, Amirkabir University of Technology, Tehran, IranView further author information
,
Hassan Ghassemi1 Maritime Engineering Department, Amirkabir University of Technology, Tehran, IranCorrespondence[email protected] [email protected]
View further author information
&
Mahmoud Ghiasi1 Maritime Engineering Department, Amirkabir University of Technology, Tehran, IranView further author information
|
Ramon Fernando Colmenares2 Faculty of Engineering, Universidad Cooperativa de Colombia, ColombiaView further author information
(Reviewing editor)
Article: 1595292 | Received 04 Oct 2018, Accepted 07 Mar 2019, Published online: 13 Apr 2019

References

  • 7th Arctic Climate Chang Economy and Society. (2014). Calculation of fuel consumption per mile for various ship types and ice condition in past, present and future. http://www.access-eu.org/modules/resources/download/access/Deliverables/D2-42-HSVA_Report_CE_CS_NR_rev02_submitted.pdf
  • Aas-Hansen, M. (2011). Monitoring of hull condition of ships( Mater thesis). Norwegian University of Science and Technology, Norway.
  • Bialystocki, N., & Konovessis, D. (2016). On the estimation of ship’s fuel consumption and speed curve: A statistical approach. Journal of Ocean Engineering and Science, 1, 157–12. doi:10.1016/j.joes.2016.02.001
  • Boom, H. V. D., Koning, J., & Aalbrets, P. (2005, May). Proceedings of the offshore technology Conference (pp. 2–5), Huston, TX.
  • Coraddu, A., Oneto, L., Baldi, F., & Anguita, D. (2006). Soft computing for sustainability science, studies in fuzziness and soft computing (pp. 358). Book series, Springer. doi:10.1007/978-3-319-62359-7
  • DNV. (2010). Assessment of measures to reduce future CO2 emission from shipping, research and innovation (Position paper No. 5). Hovik: Det Norsk Veritas.
  • Donggon, B. (2016). The economic impact of fuel consumption uncertainty for tankers ( Master thesis for the Master of Science in Economics and Business Administration within the main profile International Business). Norwegian School of Economics.
  • Henggeler, J., Henry, C., & Kenny, N. (2009). Measuring diesel fuel consumption to estimate engine efficiency. http://crops.missouri.edu/irrigation/dieselconsumption.pdf
  • O’Brien, R. M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality & Quantity, 41(5), 673. doi:10.1007/s11135-006-9018-6
  • Pedersen, B. P., & Larsen, J. (2009, January 21–24). Modeling of ship propulsion performance, Proceedings of the World Maritime Technology Conference. Mumbai, India: WMRC.
  • Reynolds, G. (2009, January 21–24). Proceedings of the World Maritime Technology Conference WMRC. Mumbai: WMRC.
  • Safaei, A. A., Ghassemi, H.,  & Ghiasi, M. (2018). Correcting and enriching vessel’s noon report data using statistical and data mining methods, European transport (pp. 67).
  • Safaei, A. A., Ghassemi, H., & Ghiasi, M. (2019). New methodology for acquiring pure valid data by combining oil tankers’ noon report and automatic identification system satellite data using statistical and data mining methods. Journal PROMET – Traffic & Transportation.
  • Stopford, M. (2009). Maritime economics (3rd ed.). Oxford: Routledge.
  • Wijnolst, N., & Wergeland, T. (2009). Shipping innovation. Amsterdam: IOS Press.

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