Environmental and Economic Benefits of Slow Steaming

Zanne, Marina; Počuča, Milojka; Bajec, Patricija

doi:10.7225/toms.v02.n02.005

Cited by 8 publications

(12 citation statements)

References 4 publications

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“…Slow steaming is sailing at lower speeds than is possible, for example the ship sails at 18 knots from a design speed of 22 knots. There are several levels of slow steaming, "slow steaming" for a 15% reduction in normal operating speed, "extra slow steaming" for 25% reduction and "super slow steaming" for higher reductions [6].…”

Section: Slow Steaming Overviewmentioning

confidence: 99%

“…The positive effect of slow steaming were cutting cost and cutting harmful emission from marine transportation [6]. Ship speed affects the fuel consumption, meanwhile emissions of SOX, NOX will decrease in line with the use of fuel and CO2 emissions.…”

Section: Slow Steaming Overviewmentioning

confidence: 99%

“…Some research on slow steaming has also been done in the maritime field. Zanne et al (2013) conducting research on the slow steaming's benefit from the economic and environmental sides [6]. Emmanuel et al (2013) conducting a research about slow steaming application for a 50,000dwt of product tanker [8].…”

Section: Slow Steaming Overviewmentioning

confidence: 99%

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A Study of Decision Making Process for the Most Efficient Steaming Speed of Ship

Gusti¹,

Semin²,

Dinariyana³

et al. 2018

Proceeding of Marine Safety and Maritime Installation (MSMI 2018)

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Selection of the most efficient steaming speed in shipping word have become an alternative solution for assisting shipping companies in planning a business strategy, reducing the ship operational costs and emission. The application of slow steaming on ships has several advantages, both economically and environmentally. Slow steaming is capable of reducing fuel consumption and exhaust emissions, because these are usually a cubic function of ship speed. Slow steaming can be performed by reducing the service speed of the ship with the aim of minimizing the fuel consumption and ship emissions. There are three different levels of steaming speed known in the shipping sector: slow, extra and super slow steaming. A decision about the most efficient steaming speed should be made by shipping companies considering elements of technical, financial, and environmental aspects. This paper addresses to make a decision as to which one of them will be the most efficient steaming speed for shipping companies. The decision-making method is conducted using Elimination and Choice Expressing Reality (ELECTRE). ELECTRE is a multi-criteria decision making (MCDM) analysis model that is proved to be effective in ranking several decision making problems. The results show that the chosen speed can provide economic and environmental benefits.

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Section: Slow Steaming Overviewmentioning

confidence: 99%

Section: Slow Steaming Overviewmentioning

confidence: 99%

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A Study of Decision Making Process for the Most Efficient Steaming Speed of Ship

Gusti¹,

Semin²,

Dinariyana³

et al. 2018

Proceeding of Marine Safety and Maritime Installation (MSMI 2018)

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“…Therefore, the trend towards integration of the BESS into ferries has gained more attention in recent years. For example, MV Hallaig, the first hybrid electric ferry with battery storage, started operation in 2013 recording significant fuel savings and emission reductions [32]. Following the same trend in fuel and emissions reduction, Ampere ferry, the first battery powered ferry in the world, started operation in 2015 and reported a significant fuel savings with zero emission operation [17,21,33].…”

Section: Introductionmentioning

confidence: 99%

“…Following the same trend in fuel and emissions reduction, Ampere ferry, the first battery powered ferry in the world, started operation in 2015 and reported a significant fuel savings with zero emission operation [17,21,33]. This trend is continuing as more ferries are being built with hybrid and fully battery powered systems owing to their advantage of emission reductions, especially as most ferries operate close to human habitation areas [11,21,32,33].…”

Section: Introductionmentioning

confidence: 99%

Power management optimization of hybrid power systems in electric ferries

Al-Falahi

Nimma

Jayasinghe

et al. 2018

Energy Conversion and Management

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General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.? Users may download and print one copy of any publication from the public portal for the purpose of private study or research. ? You may not further distribute the material or use it for any profit-making activity or commercial gain ? You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us at vbn@aub.aau.dk providing details, and we will remove access to the work immediately and investigate your claim. Abstract-The integration of more-electric technologies, such as energy storage systems (ESSs) and electric propulsion, has gained attention in recent years as a promising approach to reduce fuel consumption and emissions in the maritime industry. In this context, hybrid power systems (HPSs) with direct current (DC) distribution are currently gaining a commendable interest in research and industrial applications. This paper examines the impact of using HPS with DC distribution and a battery energy storage system (BESS) over a conventional AC power system for short haul roll-on/roll-off (RORO) ferries. An electric ferry with a HPS is modeled in this study and the power management system is simulated using the Matlab/Simulink software. The result is validated using measured load profile of a ferry. The performance of the DC HPS is compared with the conventional AC system based on fuel consumption and emission reductions. An approach to estimate the fuel consumption of the diesel engine through calculation of specific fuel oil consumption (SFOC) is also presented. This study uses two optimization techniques: a classical power management method namely Rule-Based control (RB) and a meta-heuristic power management method known as Grey Wolf Optimization (GWO) to optimally manage the power sharing of the proposed HPS. Fuel consumption and emission indicators are also used to assess the performance of the two power management methods. The simulation results show that the HPS provides a 2.91 % and 7.48 % fuel consumption reduction using RB method and GWO method respectively. It is apparent from the result that the HPS has more fuel savings while running the diesel generator sets (DGs) at higher operational efficiency. It is interesting that the proposed HPS using both power management methods provided a 100 % emission reduction at berth. Finally, it was found that using a meta-heuristic optimization algorithm provides better fuel and emission reductions than a classical method.Keywords-Battery, DC power system, electric ferry, energy storage system, hybrid power system, power management.

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