과제정보
This work was supported under the framework of the international cooperation program managed by the National Research Foundation of Korea (NRF-2022K2A9A1A09087779).
참고문헌
- Adland, R., Cariou, P., Jia, H., & Wolff, F. -C. (2018). The energy efficiency effects of periodic ship hull cleaning. Journal of Cleaner Production, 178, 1-13. https://doi.org/10.1016/j.jclepro.2017.12.247
- 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(2), 157-166. https://doi.org/10.1016/j.joes.2016.02.001
- Bocchetti, D., Lepore, A., Palumbo, B., & Vitiello, L. (2015). A statistical approach to ship fuel consumption monitoring. Journal of Ship Research, 59(3), 162-171. https://doi.org/10.5957/jsr.2015.59.3.162
- Doulgeris, S., Zacharof, D. N., Toumasatos, Z., Kolokotronis, D., & Samaras, Z. (2020). Real world fuel consumption prediction via a combined experimental and modeling technique. Science of the Total Environment, 734, 139254. https://doi.org/10.1016/j.scitotenv.2020.139254
- Demirel, Y. K., Turan, O., & Incecik, A. (2017). Predicting the effect of biofouling on ship resistance using CFD. Applied Ocean Research 62, 100-118. https://doi.org/10.1016/j.apor.2016.12.003
- Ghaemi, M. H., & Zeraatgar, H. (2021). Analysis of hull, propeller and engine interaction in regular waves by a combination of experiment and simulation. Journal of Marine Science and Technology, 26, 257-272. https://doi.org/10.1007/s00773-020-00734-5
- International Maritime Organization (IMO). (2009). Second IMO GHG Study 2009. International Maritime Organization, 4 Albert Embankment, London SE1 7SR. https://wwwcdn.imo.org/localresources/en/OurWork/Environment/Documents/SecondIMOGHGStudy2009.pdf
- Isikli, E., Aydin, N., Bilgili, L., & Toprak, A. (2020). Estimating fuel consumption in maritime transport. Journal of Cleaner Production, 275, 124142;. https://doi.org/10.1016/j.jclepro.2020.124142
- Jimenez, V. J., Kim, H., & Munim, Z. H. (2022). A review of ship energy efficiency research and directions towards emission reduction in the maritime industry. Journal of Cleaner Production, 366, 132888. https://doi.org/10.1016/j.jclepro.2022.132888
- Koboevic, Z., Bebic, D., & Kurtela, Z. (2019), New approach to monitoring hull condition of ships as objective for selecting optimal docking period. Ships and Offshore Structures, 14(1), 95-103. https://doi.org/10.1080/17445302.2018.1481631
- Kuroda, M., Takagi, K., Tsujimoto, M., & Fujisawa, J. (2017). Measurement of added resistance in irregular waves and estimation of the long-period components. Journal of the Japan Society of Naval Architects and Ocean Engineers 24, 181-188. https://doi.org/10.2534/jjasnaoe.24.181
- Shi, Y., Xue, S., Zhang, X., & Huang, T. (2020). Data-aware monitoring method for fuel economy in ship-based CPS. IET Cyber-physical Systems: Theory & Application, 5(3), 245-252. https://doi.org/10.1049/iet-cps.2019.0080
- Shigunov, V., Moctar, O., Papanilolaou, A., Potthoff, R., & Liu, S. (2018). International benchmark study on numerical simulation methods for prediction of manoeuvrability of ships in waves. Ocean Engineering, 165, 365-385. https://doi.org/10.1016/j.oceaneng.2018.07.031
- Schultz, M. P. (2007). Effects of coating roughness and biofouling on ship resistance and powering. Biofouling, 23, 331-341. https://doi.org/10.1080/08927010701461974
- Tran, T. A. (2021). Effects of the uncertain factors impacting on the fuel oil consumption of sea ocean-going vessels based on the hybrid multi criteria decision making method. Ocean Engineering 239, 109885. https://doi.org/10.1016/j.oceaneng.2021.109885
- Trodden, D. G., Murphy, A. J., Pazouki, M., & Sargeant, J. (2015). Fuel usage data analysis for efficient shipping operations. Ocean Engineering, 110(Part B), 75-84. https://doi.org/10.1016/j.oceaneng.2015.09.028
- Tillig, F., Ringsberg, J., Psaraftis, H., & Zis, T. (2020). Reduced environmental impact of marine transport through speed reduction and wind assisted propulsion, Transportation Research Part D: Transport and Environment, 83, 102380. https://doi.org/10.1016/j.trd.2020.102380
- United Nationals Conference on Trade and Development (UNCTAD). (2017). Review of Maritime Transport 2017. Geneva, Switzerland.
- Yin, Q., Ding, Z., Ding, K., & Liu, G. (2017). Design of a real-time ship fuel consumption monitoring system with self-checking function. In 2017 4th International Conference on Transportation Information and Safety (ICTIS), 735-738. https://doi.org/10.1109/ICTIS.2017.8047849
- Yeh, C. K., Lin, C., Shen, H., Cheruiyot, N. K., Nguyen, D., & Chang, C. (2022). Real-time energy consumption and air pollution emission during the transpacific crossing of a container ship. Scientific Reports, 12, 15272. https://doi.org/10.1038/s41598-022-19605-7
- Yuan, Z., Liu, J., Zhang, Q., Liu, Y., Yuan, Y., & Li, Z. (2021). Prediction and optimization of fuel consumption for inland ships considering real-time status and environmental factors. Ocean Engineering, 221, 108530. https://doi.org/10.1016/j.oceaneng.2020.108530
- Zadeh, L. A. (1965). Fuzzy set. Information and Control 8(3), 338-353. https://doi.org/10.1016/S0019-9958(65)90241-X