Article Link
Collect
Submit Manuscript
Show Outline
Outline
Abstract
Keywords
References
Show full outline
Hide outline
Review Article | Open Access

Bi-level optimization model applications in managing air emissions from ships: A review

Jingwen QiaShuaian Wanga()Harilaos Psaraftisb
Department of Logistics & Maritime Studies, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China
Department of Technology, Management and Economics, Technical University of Denmark, Denmark
Show Author Information

Abstract

Ship air emissions are recognized as one of the key concerns of the maritime industry. Competent authorities have issued various regulations to manage air emissions from ships. Although the authorities are policy makers, the effectiveness of policies is up to the shipping industry who operates the vessels and terminals to fulfill maritime transportation works. Given this characteristic, bi-level optimization model has been widely adopted in studies that optimize policy design or evaluate its effectiveness. The framework of a typical bi-level optimization model for ship emission management problem is given to show the basic structure of similar issues. A series of applications of bi-level optimization model in managing ship emissions is reviewed, including cases of Energy Efficiency Design Index, Emissions Control Area, Market Based Measure, Carbon Intensity Indicator, and Vessel Speed Reduction Incentive Program. We hope this paper can enlighten scholars interested in this area and provide help for them.

References

 
Bajic, A., 2020. EU backs Port of Algeciras LNG bunkering vessel build. URL https://www.offshore-energy.biz/eu-backs-port-of-algeciras-lng-bunkering-vessel-build/
 
Concawe (Ed.), 2018. Review. Vol. 27. URL www.concawe.eu/wp-content/uploads/Concawe-Review-27-1_webfile.pdf
 
Gratsos, G., 2019. Global warming, mankind, the environment, transport, shipping and clear thinking. URL www.academia.edu/38936281/Global_Warming_Mankind_the_Environment_Transport_Shipping_and_Clear_Thinking_revised_April_25th_2019
 
International Maritime Organization, 2011. Resolution MEPC.203(62) Amendments to the Annex of the protocal of 1997 to amend the international convention for the prevention of pollution from ships, 1973, as modified by the protocal of 1978 relating therero
 
International Maritime Organization, 2021a. Energy efficiency measures. URL https://www.imo.org/en/MediaCentre/PressBriefings/pages/42-MEPC-short-term-measure.aspx
 
International Maritime Organization, 2021b. Energy efficiency measures. URL https://www.imo.org/en/OurWork/Environment/Pages/Technical-and-Operational-Measures.aspx
 
International Maritime Organization, 2021c. IMO working group agrees guidelines to support new GHG measures. URL https://www.imo.org/en/MediaCentre/PressBriefings/pages/ISWG-GHG-8.aspx. Accessed on 20 July 2021
 
International Maritime Organization, 2021d. Resolution MEPC.328(76) Amendments to the Annex of the protocal of 1997 to amend the international convention for the prevention of pollution from ships, 1973, as modified by the protocal of 1978 relating therero
 
Lagouvardou, S., Psarafits, H.N., Zis, T.A literature survey on market-based measures for the decarbonization of shippingSustainability2020123953395310.3390/su12103953

Lagouvardou, S., Psarafits, H. N., Zis, T., 2020. A literature survey on market-based measures for the decarbonization of shipping. Sustainability 12 (3953), 3953

 

Lindstad, E., Borgen, H., Eskeland, G. S., Paalson, C., Psaraftis, H., Turan, O., 2019. The need to amend IMO’s EEDI to include a threshold for performance in waves (realistic sea conditions) to achieve the desired GHG reductions. Sustainability 11 (3668), 3668

 
Ministry of Finance of the People’s Republic of China and Ministry of Transport of the People’s Republic of China, 2014. Measures for the administration of subsidies for the standardization of inland river ship types. URL www.gov.cn/xinwen/2014-04/17/content_2661069.htm
 
Psarafits, H.N., Zis, T., Lagouvardou, S.A comparative evaluation of market based measures for shipping decarbonizationMarit. Transport. Res.20212100019100019

Psarafits, H. N., Zis, T., Lagouvardou, S., 2021. A comparative evaluation of market based measures for shipping decarbonization. Maritime Transport Research 2 (100019), 100019

10.1016/j.martra.2021.100019
 

Psaraftis, H. N., 2019. Decarbonization of maritime transport: to be or not to be? Maritime Economics and Logistics 21, 353-371

 
Ronen, D.The effect of oil price on the optimal speed of shipsJ. Oper. Res. Soc.19823310351040

Ronen, D., 1982. The effect of oil price on the optimal speed of ships. Journal of the Operational Research Society 33, 1035-1040

10.1057/jors.1982.215
 
UNCTAD, 2020. Review of Maritime Transport 2020. URL https://unctad.org/system/files/official-document/rmt2020_en.pdf
 

Wang, C., Xu, C., 2015. Sailing speed optimization in voyage chartering ship considering different carbon emissions taxation. Computers & Industrial Engineering 89, 108-115

 

Wang, S., Meng, Q., 2012. Sailing speed optimization for container ships in a liner shipping network. Transportation Research Part E 48, 701-714

 

Wang, S., Psaraftis, H. N., Qi, J., 2021. Paradox of international maritime organization’s carbon intensity indicator. Communications in Transportation Research 1 (100005), 100005

 

Wang, T., Wang, X., Meng, Q., 2018. Joint berth allocation and quay crane assignment under different carbon taxation policies. Transportation Research Part B 117, 18-36

 

Zhuge, D., Wang, S., Zhen, L., Larporte, G., 2021. Subsidy design in a vessel speed reduction incentive program under government policies. Naval Research Logistics 2020, 1-15

 
Zisi, V., Pasraftis, H. N., Zis, T., 2021. The impact of the 2020 global sulfur cap on maritime CO2 emissions. Maritime Business Review (2379)https://doi.org/10.1108/MABR-12-2020-0069
Communications in Transportation Research
Article number: 100020
Cite this article:
Qi J, Wang S, Psaraftis H. Bi-level optimization model applications in managing air emissions from ships: A review. Communications in Transportation Research, 2021, 1(1): 100020. https://doi.org/10.1016/j.commtr.2021.100020
Metrics & Citations  
Article History
Copyright
Rights and Permissions
Return