Discussion on “Speed optimization for maximizing the ship's economic benefits considering the Carbon Intensity Indicator (CII) ” by R Hua, J Yin, S Wang, Y Han, and X Wang (https://doi.org/10.1016/j.oceaneng.2024.116712) DOI
Xuebin Li

Ocean Engineering, Год журнала: 2024, Номер 311, С. 118476 - 118476

Опубликована: Авг. 12, 2024

Язык: Английский

Cargo selection, route planning, and speed optimization in tramp shipping under carbon intensity indicator (CII) regulations DOI

Liangqi Cheng,

Ling Xu, Xiwen Bai

и другие.

Transportation Research Part E Logistics and Transportation Review, Год журнала: 2025, Номер 194, С. 103948 - 103948

Опубликована: Янв. 5, 2025

Язык: Английский

Процитировано

5

Application of Artificial Intelligence in Maritime Transportation DOI Creative Commons
Xinqiang Chen, Dongfang Ma, Ryan Wen Liu

и другие.

Journal of Marine Science and Engineering, Год журнала: 2024, Номер 12(3), С. 439 - 439

Опубликована: Март 1, 2024

Maritime logistics and supply chain management have become more complicated due to economic globalization development [...]

Язык: Английский

Процитировано

11

GA-LSTM and NSGA-III based collaborative optimization of ship energy efficiency for low-carbon shipping DOI
Zhongwei Li, Kai Wang,

Yu Hua

и другие.

Ocean Engineering, Год журнала: 2024, Номер 312, С. 119190 - 119190

Опубликована: Сен. 24, 2024

Язык: Английский

Процитировано

9

Towards Sustainable Shipping: Joint Optimization of Ship Speed and Bunkering Strategy Considering Ship Emissions DOI Creative Commons
Qin Wang, Jian Zhou, Zheng Li

и другие.

Atmosphere, Год журнала: 2025, Номер 16(3), С. 285 - 285

Опубликована: Фев. 27, 2025

Maritime regulators are closely monitoring the progression of green shipping, and liner companies seeking strategies to meet tough ship emission rules. To reduce operating cost while conforming increasingly strict environmental regulations, study first constructs a mixed-integer nonlinear optimization model. Subsequently, parts in objective function constraints transformed into linear forms. Thereafter, model is applied Asia–Europe route CMA CGM Shipping Company find planned speeds bunkering for container liners sailing expanded control areas (ECAs) that will be implemented future. Finally, sensitivity analysis performed examine influence bunker tank capacity fuel price difference on cost, carbon dioxide emission, strategy speed. The contributes determining optimal developing at different differences. With stricter policies, operators must strategically choose refueling ports, adjust amounts, optimize based data. proposed approach provides solution contradiction between compliance with regulations cost-effectiveness shipping great significance promoting sustainable development waterway transportation industry.

Язык: Английский

Процитировано

1

Deep Q-network and knowledge jointly-driven ship operational efficiency optimization in a seaport DOI
Wenqiang Guo, Xinyu Zhang, Ying-En Ge

и другие.

Transportation Research Part E Logistics and Transportation Review, Год журнала: 2025, Номер 197, С. 104046 - 104046

Опубликована: Март 4, 2025

Язык: Английский

Процитировано

1

Towards decarbonization: How EEXI and CII regulations affect container liner fleet deployment DOI
Qiang Zhang,

Huating Guan,

Shun Chen

и другие.

Transportation Research Part D Transport and Environment, Год журнала: 2024, Номер 133, С. 104277 - 104277

Опубликована: Июнь 14, 2024

Язык: Английский

Процитировано

4

Data collection framework for enhanced carbon intensity indicator (CII) in the oil tankers DOI Creative Commons
Abdullah Sh. Sardar, Mohan Anantharaman, Rabiul Islam

и другие.

The Canadian Journal of Chemical Engineering, Год журнала: 2024, Номер unknown

Опубликована: Июль 10, 2024

Abstract The International Maritime Organization (IMO) aims to reduce greenhouse gas (GHG) emissions by 40% 2030 compared with 2008. carbon intensity indicator (CII) calculates the annual reduction factor required continuously improve a ship's operational at specific rating level. Verification and documentation of achieved CII against prescribed target are necessary establish rating. This study focuses on intricate process data collection for within oil shipping industry, targeting engineering departments shipboard management teams. Against backdrop industry's substantial dioxide emissions, IMO has mandated calculation values ships exceeding 5000 gross tons promote sustainability environmental impact. We have collected emission 20 tankers over period 2 years using our ship maintenance operating system (SMOS) analyzed compare ratings. Our results indicate that staggering ~63% vessels had lowest category E. It is therefore crucial properly collect, organize, evaluate take measures paper provides deeper insight into evolving methodology, emphasizing incorporation correction factors exclusions, delineates essential practices needed facilitate accurate calculations.

Язык: Английский

Процитировано

4

Readiness and challenges of carbon capture technologies based on the shipping industry DOI
Hanlin Wu, Xuelai Zhang,

Qing Wu

и другие.

Marine Pollution Bulletin, Год журнала: 2024, Номер 207, С. 116878 - 116878

Опубликована: Авг. 22, 2024

Язык: Английский

Процитировано

4

Markov Chain Analysis of Ship Energy Efficiency DOI Creative Commons
Y. Garbatov,

Dimitar Yalamov,

Petar Georgiev

и другие.

Energies, Год журнала: 2024, Номер 17(12), С. 3018 - 3018

Опубликована: Июнь 19, 2024

A formulation is presented for the assessment of CO2 generated by ships in operation and their evolution with time, conditional on current legislation using Markov chains. Any potential deep repair or retrofitting ship propulsion system enhancement route operational characteristics during service life are not accounted for. The transition matrix defined based operations history A, B, C, D, E carbon intensity indicator (CII) rates. between different CII rate states survey data used to estimate probability analysed grates. Distinct matrices employing progressively tightened employed analysed. In addition, can be fed into risk-based models that take rates as input defining most appropriate energy efficiency management plan.

Язык: Английский

Процитировано

3

Carbon Policies and Liner Speed Optimization: Comparisons of Carbon Trading and Carbon Tax Combined with the European Union Emissions Trading Scheme DOI Creative Commons

Ming Sun,

Midakpe P. Vortia,

Guangnian Xiao

и другие.

Journal of Marine Science and Engineering, Год журнала: 2025, Номер 13(2), С. 204 - 204

Опубликована: Янв. 22, 2025

This paper explores how optimizing vessel speeds can help reduce carbon emissions in the maritime industry. Focusing on liner shipping routes between China and Europe, it examines pricing mechanisms, including taxes trading under European Union Emissions Trading Scheme (EU ETS), impact operational costs reduction. With use of advanced optimization methods, such as Non-dominated Sorting Genetic Algorithm-II (NSGA-II) Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), this research balance adjusting minimizing emissions. The findings show that companies China–Europe route financial strain carefully managing voyage times. study compares two scenarios tax policy rights terms results comparison based given parameters indicate a reduction 1124 tons with scenario, while scenario allows more voyages yearly (5.24 vs. 5.30). demonstrates one being economical, other is also environmentally efficient. These insights support development strategies align environmental goals economic priorities, paving way sustainable operations. introduces its objectives reviews relevant literature presenting detailed methodology, incorporating modeling clearly defined parameters. analysis presents undergo sensitivity testing limitations using MATLAB (R2022a version). concludes discussing implications recommendations future practical advancement

Язык: Английский

Процитировано

0