As global warming caused by greenhouse gases grows (GHGs) into a global environmental threat, carbon dioxide emissions are drawing increasing attention in these years. Among all emission sources, transportation is a major contributor to climate change because of its high dependence on fossil fuels. The International Maritime Organization (IMO) has therefore been promoting the reduction of fuel usage and carbon emissions for container ships by such measures as improving shipping route selection, shipping speed optimization, and constructing clean energy propulsion systems. In this paper, a review of the impact of carbon dioxide emissions on climate change is presented; the current situations of carbon dioxide emissions, decarbonizing methods, IMO regulations, and possible future directions of decarbonizing in the maritime transportation industry are also discussed. Based on the result , it is found that in the case that non intelligent ships still occupy the vast majority of operating ships, the use of new energy as the main propulsion fuel has the defects of high renewal cost and long effective period. It is more likely to achieve energy conservation and emission reduction in the shipping industry in a short period of time by using intelligent means and artificial intelligence to assist ship operation.
Xing, H., Spence, S. and Chen, H. (2020) A Comprehensive Review on Countermeasures for CO2 Emissions from Ships. Renewable and Sustainable Energy Reviews, 134, Article 110222. https://doi.org/10.1016/j.rser.2020.110222
International Energy Association (2018) CO2 Emissions from Fuel Combustion 2018-Highlights. International Energy Association, Paris.
Kenton, W. and Estevez, E. (2019) International Maritime Organization (IMO).
Jimenez, V.J., Kim, H. and 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, Article 132888. https://doi.org/10.1016/j.jclepro.2022.132888
Al-Enazi, A., Okonkwo, E.C., Bicer, Y. and Al-Ansari, T. (2021) A Review of Cleaner Alternative Fuels for Maritime Transportation. Energy Reports, 7, 1962-1985. https://doi.org/10.1016/j.egyr.2021.03.036
Vigna, L., Ge, M. and Friedrich, J. (2021) Climate Watch the Open Data and Visualization Platform Tracking Countries Emissions and Key Climate Commitments (NDCs, LTS and Net-Zero Targets) to Promote Global Climate Action. AGU Fall Meeting Abstracts, New Orleans, December 2021, B24A-03.
Wang, K., et al. (2022) A Comprehensive Review on the Prediction of Ship Energy Consumption and Pollution Gas Emissions. Ocean Engineering, 266, Article 112826. https://doi.org/10.1016/j.oceaneng.2022.112826
Cullinane, K. and Yang, J. (2022) Evaluating the Costs of Decarbonizing the Shipping Industry: A Review of the Literature. Journal of Marine Science and Engineering, 10, Article 946. https://doi.org/10.3390/jmse10070946
Kim, H., Koo, K.Y. and Joung, T.H. (2020) A Study on the Necessity of Integrated Evaluation of Alternative Marine Fuels. Journal of International Maritime Safety, Environmental Affairs, and Shipping, 4, 26-31. https://doi.org/10.1080/25725084.2020.1779426
Psaraftis, H.N. and Kontovas, C.A. (2020) Decarbonization of Maritime Transport: Is There Light at the End of the Tunnel? Sustainability, 13, Article 237. https://doi.org/10.3390/su13010237
Comer, B. and Sathiamoorthy, B. (2022) How Updating IMO Regulations Can Promote Lower Greenhouse Gas Emissions from Ships. Working Paper 2022-34, ICCT.
Joung, T.H., Kang, S.G., Lee, J.K. and Ahn, J. (2020) The IMO Initial Strategy for Reducing Greenhouse Gas (GHG) Emissions, and Its Follow-Up Actions towards 2050. Journal of International Maritime Safety, Environmental Affairs, and Shipping, 4, 1-7. https://doi.org/10.1080/25725084.2019.1707938
Hall, D. and Lutsey, N. (2019) Estimating the Infrastructure Needs and Costs for the Launch of Zero-Emission Trucks. International Council on Clean Transportation, 1-31.
Stamou, M. (2021) Economic Effect in Shipping Companies Due to Decarbonization. Πανεπιστήμιο Πειραιώς, Pireas.
Balcombe, P., et al. (2019) How to Decarbonise International Shipping: Options for Fuels, Technologies and Policies. Energy Conversion and Management, 182, 72-88. https://doi.org/10.1016/j.enconman.2018.12.080
Dnv, G. (2020) EEXI—Energy Efficiency Existing Ship Index. https://www.dnv.com/maritime/insights/topics/eexi/index.html
Rutherford, D., Mao X. and Comer, B. (2020) Potential CO2 Reductions under the Energy Efficiency Existing Ship Index. International Council on Clean Transportation, Working Paper, 2020-2027.
International Maritime Organization. (2019) IMO’s Work to Cut GHG Emissions from Ships. https://www.imo.org/en/MediaCentre/HotTopics/Pages/Cutting-GHG-emissions.aspx
DnV, G., SAFER, S. and Greener, D. (2021) LNG as Marine Fuel.
Su, Z., Wang, Y. and Zhao, X. (2022) How a Low-Carbon Economy Affects Decision-Making and Profit Development in Large Corporations: Case Studies for Unilever and Maersk. Proceedings of the 2022 International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2022), Xi’an, 22-24 July 2022, 1243-1249.
Port Technology Team (2022) COSCO Aims to Be Carbon Neutral by 2060. https://www.porttechnology.org/news/cosco-aims-to-be-carbon-neutral-by-2060/
Zincir, B. (2020) A Short Review of Ammonia as an Alternative Marine Fuel for Decarbonised Maritime Transportation. Proceedings of International Conference on Energy, Environment and Storage of Energy (ICEESEN2020), Kayseri, 19-21 November 2020, 19-21.
Kim, J.G., Kim, H.J. and Lee, P.T.W. (2014) Optimizing Ship Speed to Minimize Fuel Consumption. Transportation letters, 6, 109-117. https://doi.org/10.1179/1942787514Y.0000000016
Guo, Y. (2020) Interview with Peter Keller, Chairman of the SEA/LNG Alliance. Shipping Intelligence, No. 6, 22-23.
Li, H., Mehmood, D., Thorin, V. and Yu, Z.X. (2017) Biomethane Production via Anaerobic Digestion and Biomass Gasification. Energy Procedia, 105, 1172-1177. https://doi.org/10.1016/j.egypro.2017.03.490
Gielen, D., et al. (2019) Global Energy Transformation: A Roadmap to 2050. IRENA, Rio de Janeiro.
Atilhan, S., et al. (2021) Green Hydrogen as an Alternative Fuel for the Shipping Industry. Current Opinion in Chemical Engineering, 31, Article 100668. https://doi.org/10.1016/j.coche.2020.100668
Zhang, G., Wang, H.B., Zhao, W., Guan, Z.Y. and Li, P.F. (2021) Application of Improved Multi-Objective Ant Colony Optimization Algorithm in Ship Weather Routing. Journal of Ocean University of China, 20, 45-55. https://doi.org/10.1007/s11802-021-4436-6
Ren, F., Han, Y., Wang, S.H. and Jiang, H. (2022) A Novel High-Dimensional Trajectories Construction Network Based on Multi-Clustering Algorithm. EURASIP Journal on Wireless Communications and Networking, 2022, Article No. 18. https://doi.org/10.1186/s13638-022-02108-4
Ren, F., Wang, S.H., Liu, Y.A. and Han, Y. (2022) Container Ship Carbon and Fuel Estimation in Voyages Utilizing Meteorological Data with Data Fusion and Machine Learning Techniques. Mathematical Problems in Engineering, 2022, Article ID: 4773395. https://doi.org/10.1155/2022/4773395
Hagiwara, H. (1989) Weather Routing of (Sail-Assisted) Motor Vessels. Ph.D. Thesis, Delft University of Technology, Delft.
Bertsekas, D. (2012) Dynamic Programming and Optimal Control. Athena Scientific, Nashua.
Wang, H., Mao, W. and Eriksson, L. (2017) Benchmark Study of Five Optimization Algorithms for Weather Routing. International Conference on Offshore Mechanics and Arctic Engineering, New York, 25-30 June 2017, V07BT06A023.
Walther, L., Rizvanolli, A., Wendebourg, M. and Jahn, C. (2016) Modeling and Optimization Algorithms in Ship Weather Routing. International Journal of e-Navigation and Maritime Economy, 4, 31-45. https://doi.org/10.1016/j.enavi.2016.06.004
Gkerekos, C. and Lazakis, I. (2020) A Novel, Data-Driven Heuristic Framework for Vessel Weather Routing. Ocean Engineering, 197, Article 106887. https://doi.org/10.1016/j.oceaneng.2019.106887
Wang, K., Yan, X.P., Yuan, Y.P. and Li, F. (2016) Real-Time Optimization of Ship Energy Efficiency Based on the Prediction Technology of Working Condition. Transportation Research Part D: Transport and Environment, 46, 81-93. https://doi.org/10.1016/j.trd.2016.03.014
Mao, S., et al. (2018) An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining. Proceedings of ELM-2016, Singapore, 13-15 December 2016, 241-257.
Coraddu, A., Oneto, L., Baldi, F. and Anguita, D. (2017) Vessels Fuel Consumption Forecast and Trim Optimisation: A Data Analytics Perspective. Ocean Engineering, 130, 351-370. https://doi.org/10.1016/j.oceaneng.2016.11.058
Zis, T., North, R.J., Angeloudis, P., Ochieng, W.Y. and Bell, M.G.H. (2014) Evaluation of Cold Ironing And Speed Reduction Policies to Reduce Ship Emissions Near And at Ports. Maritime Economics & Logistics, 16, 371-398. https://doi.org/10.1057/mel.2014.6
Jia, H., Adland, R., Prakash, V. and Smith, T. (2017) Energy Efficiency with the Application of VIRTUAL Arrival policy. Transportation Research Part D: Transport and Environment, 54, 50-60. https://doi.org/10.1016/j.trd.2017.04.037
Cannizzaro, E., Palchetti, P. and Wessel, R.A. (2011) International Law as Law of the European Union. Martinus Nijhoff Publishers, Leiden.
Deng, H., Wang, R.Q., Hu, S.P., Miao, K. and Yang, Y.Q. (2020) Ship Course Neural Network Optimal Control Based on Distributed Genetic Algorithm. Journal of Shanghai Maritime University 2020, 41, 15-19.
Li, S., Chen, H.L., Wang, M.J., Heidari, A.A. and Mirjalili, S. (2020) Slime Mould Algorithm: A New Method for Stochastic Optimization. Future Generation Computer Systems, 111, 300-323. https://doi.org/10.1016/j.future.2020.03.055
Sharma, Y., Saini, S.C. and Bhandhari, M. (2012) Comparison of Dijkstra’s Shortest Path Algorithm with Genetic Algorithm for Static and Dynamic Routing Network. International Journal of Electronics and Computer Science Engineering, 1, 416-425.
Magzhan, K. and Jani, H.M. (2013) A Review and Evaluations of Shortest Path Algorithms. International Journal of Scientific & Technology Research, 2, 99-104.