Scenario-Based Analysis of Economic and Environmental Impacts of Underwater Biofouling, and Artificial Neural Network for Underwater Hull and Propeller Cleaning DOI
Min-Ho Park, Jae-Jung Hur,

Gwi-Ho Yun

и другие.

Опубликована: Янв. 1, 2024

This study presents a novel framework to evaluate the impact of certain cycle underwater hull and propeller cleaning (UHPC). The artificial neural network model was created predict FC, coefficients for six voyages were calculated. Three scenarios, in which changed different ways, established, monthly FC values calculated accordingly. annual fuel cost saving, when UHPC four months $10,402–26,685, $9,653-24,102 months. It confirmed that yearly CO2, CO2e100, CO2e20 emissions could be reduced by 79–192, 85–206, 92–222 t, respectively. As result, economic environmental effects proven, 4-month more effective than 6-month cycle.

Язык: Английский

The effects of alternative fuels, cruising duration and variable generators combination on exhaust emissions, energy efficiency existing ship index (EEXI) and carbon intensity rating (CII) DOI
Kubilay Bayramoğlu

Ocean Engineering, Год журнала: 2024, Номер 302, С. 117723 - 117723

Опубликована: Апрель 3, 2024

Язык: Английский

Процитировано

14

Hydrogen production from treated wastewater powered by solar–wind energy: Feasibility analysis and optimal planning DOI
Chuandang Zhao, Jiuping Xu, Iva Ridjan Skov

и другие.

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 89, С. 293 - 309

Опубликована: Сен. 27, 2024

Язык: Английский

Процитировано

5

Effects of transportation of electric vehicles by a RoPax ship on carbon intensity and energy efficiency DOI Creative Commons
Onur Yüksel, Burak Göksu

Sustainable Energy Technologies and Assessments, Год журнала: 2025, Номер 75, С. 104238 - 104238

Опубликована: Фев. 12, 2025

Язык: Английский

Процитировано

0

Advancements and obstacles in improving the energy efficiency of maritime vessels: A systematic review DOI Creative Commons
Abdullah Sh. Sardar, Rabiul Islam, Mohan Anantharaman

и другие.

Marine Pollution Bulletin, Год журнала: 2025, Номер 214, С. 117688 - 117688

Опубликована: Фев. 22, 2025

The maritime industry, a cornerstone of global trade, faces mounting pressure to improve energy efficiency and minimize environmental impact. To address this, systematic review is proposed analyze trends advancements, aiming the ships. This comprehensively examines contemporary methodologies persistent challenges in assessing ship efficiency. We recent advancements design operational practices that promote gains. Additionally, we explore evolution regulatory frameworks industry standards governing assessment. Key challenges, including data availability, measurement accuracy, technological limitations, are scrutinized along with potential solutions. aims equip researchers, practitioners, policymakers comprehensive understanding current landscape, paving way for future research policy initiatives drive sustainable transportation.

Язык: Английский

Процитировано

0

Evaluating Ammonia as a Marine Fuel: Review and Illustration DOI
Murat Bayraktar, Mustafa Sokukcu, Murat Pamık

и другие.

Environmental Modeling & Assessment, Год журнала: 2025, Номер unknown

Опубликована: Март 15, 2025

Язык: Английский

Процитировано

0

The assessment of alternative fuel and engine power limitation utilisation in hybrid marine propulsion systems regarding energy efficiency metrics DOI Creative Commons
Onur Yüksel, Murat Pamık, Murat Bayraktar

и другие.

Journal of Marine Engineering & Technology, Год журнала: 2025, Номер unknown, С. 1 - 15

Опубликована: Март 18, 2025

Язык: Английский

Процитировано

0

Expert Assessments of Maritime Shipping Decarbonization Pathways by 2030 and 2050 DOI Creative Commons
Imranul I. Laskar, Hadi Dowlatabadi, Amanda Giang

и другие.

Earth s Future, Год журнала: 2025, Номер 13(4)

Опубликована: Апрель 1, 2025

Abstract International shipping conveys over 80% of global trade by volume and emits an estimated 3% the world's greenhouse gases (GHGs). There are many potential pathways barriers to decarbonizing diverse fragmented international sector, with numerous uncertainties. Here, we employ expert elicitation, gathering perspectives from 149 world‐leading experts in maritime decarbonization, characterize uncertainties decarbonization pathways. These predict a 30%–40% (25th–75th percentile range) carbon intensity reduction 2030 compared 2008, meeting Maritime Organization's (IMO) target. By 2050, they anticipate approximate 40%–75% cut GHG emissions, falling short IMO's 2050 net‐zero goal. Responding see occurring through three types measures: operational, technological, alternative energy sources. In short‐term, is predicted be dominated operational measures, while long‐term, it will energy, although there no consensus on which fuels dominate. Technological upgrades expected play crucial supporting roles. The believe that differences business models governance may lead different ship segment. experts' qualitative responses highlight: systems, fleet turnover, spillover effects other sectors, reducing industry pessimism, supply chain as critical leverage points can propel toward sustainable Navigating this transition demands support key levers identified study: politics policy, governance, contractual architecture.

Язык: Английский

Процитировано

0

Scientometric Analysis of Energy Efficiency Indicators in Maritime Transportation: A Systematic State-of-the-Art Review and Implications DOI Open Access
Murat Bayraktar, Mahmut Mollaoğlu, Onur Yüksel

и другие.

Sustainability, Год журнала: 2025, Номер 17(8), С. 3612 - 3612

Опубликована: Апрель 16, 2025

This study investigates energy efficiency indicators including the Energy Efficiency Design Index (EEDI), Operational (EEOI), Ship Management Plan (SEEMP), Existing (EEXI), and Carbon Intensity Indicator (CII) by providing a comprehensive scientometric analysis. The specified indices are scrutinized using papers from WoS Scopus databases applying Preferred Reporting Items for Systematic Reviews Meta Analyses (PRISMA) method to select most appropriate in related literature. Keyword citation analysis of were performed VOSviewer software program reveal current research trends. addresses several critical aspects. Firstly, it focuses on identifying which employed more frequently literature, secondly, classifies according whether calculation was made, yearly distribution determined. results pinpoint that EEDI EEOI examined 42.55% 22.49% reviewed studies, respectively. Furthermore, is evident EEXI CII percentages have increased drastically over past three years, with figures standing at 20.01% 18.59%, Consequently, alignment findings, theoretical managerial implications highlighted private sector, academia, maritime stakeholders.

Язык: Английский

Процитировано

0

Predictive Analysis of Engine Power Limitations for Fuel Reduction in a Tanker Ship Using a Rule-Based Machine Learning Technique DOI

Alper Eylem Ersoy,

Uğur Buğra Çelebi, Onur Yüksel

и другие.

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145535 - 145535

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Parametric machine learning integrated approach for assessing environmental and engine variables on fuel consumption and carbon intensity DOI Creative Commons
Onur Yüksel, Murat Bayraktar, Olgun Konur

и другие.

Journal of Marine Engineering & Technology, Год журнала: 2025, Номер unknown, С. 1 - 21

Опубликована: Апрель 30, 2025

Язык: Английский

Процитировано

0