Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship

Yan, Ran; Wang, Shuaian; Du, Yanliang

doi:10.1016/j.tre.2020.101930

Cited by 113 publications

(42 citation statements)

References 64 publications

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“…Another interesting approach is the ship performance estimation based on the deep learning based by actual measurement data. Yan [12] and Du [13] adopted ANN (Artificial Neural Network) to predict the fuel oil consumption performance based on operation data. These approaches promise the practical way when ship design is hard to get for the analysis.…”

Section: State Of the Arts 131 Route Decision Making Algorithmmentioning

confidence: 99%

Eco-Friendly Speed Control Algorithm Development for Autonomous Vessel Route Planning

Kim

Yun

You

2021

JMSE

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The upcoming autonomous vessel voyage is promising future in the maritime sector. However, so far, the contemporary route decision making technologies rely on human intervention. Therefore, this manuscript proposes the two newly developed speed algorithms: the modified fixed speed control and the wave feed forward speed control in the route decision making procedure for the autonomous vessels. These two algorithms can control the vessel’s speed without human intervention in eco-friendly and economic manner. The first algorithm is the wave feed forward speed control that can predict the speed change according to wave loads and compensate it to reduce the fluctuation of speed, power, and fuel consumption. To develop this algorithm, the real time modeling of the wave added resistance and the wave real time effect on propulsion are analyzed. The efficacy of the developed wave feed forward scheme is validated using the in-house route optimization simulation program through comparisons with the results of conventional speed governor control case. The developed schemes are applied to a 173 K LNG (Liquefied Natural Gas) carrier with twin propulsion. The other proposed speed control algorithm is the modified fixed control algorithm. This algorithm improves the conventional fixed power control algorithm by adding a time marching module to satisfy the required time arrival of the voyage. The two proposed methods are analyzed in the various simulations—ideal environmental conditions and real voyage environments: The Pacific and the Atlantic cases. Based on the results, the suggested methods can reduce fuel oil consumption, gas emission, and wear and tear problem of the propulsion devise of ship. In the study, it is clearly demonstrated that the developed wave feed forward speed control and modified fixed power scheme perform much better than the conventional speed governor control case.

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Section: State Of the Arts 131 Route Decision Making Algorithmmentioning

confidence: 99%

Eco-Friendly Speed Control Algorithm Development for Autonomous Vessel Route Planning

Kim

Yun

You

2021

JMSE

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“…Apart from supporting the safety of shipping crossings, the results of the SOC direction mapping (Figure 7) can be used as a benchmark for the efficient consumption of ship fuels. Moving a ship in the direction of the current requires much less fuel than the direction of the current opposite [57], [58].…”

Section: Soc Characteristics On the Crossingmentioning

confidence: 99%

An Analysis of Surface Ocean Currents from HF Radar Measurements in the Bali Strait and the Flores Sea, Indonesia

Supriyadi¹,

Hidayat²,

Santikayasa³

et al. 2021

International Journal on Advanced Science, Engineering and Information Technology

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Analyze Surface Ocean Currents (SOCs) with one year of HF Radar data (2018-2019) for each season to determine the characteristics of the SOC direction and speed of the crossing route and its control factors carried out in the Bali Strait and the Flores Sea. Method of data analysis by computing the SOC speed and direction of the zonal and meridional components. The results showed that the SOC pattern in the Bali Strait affects the season where its speed in the DJF season is lower than the JJA season. Moreover, the SOC direction in the Bali Strait is dominant towards the south due to the influence of bathymetry. Meanwhile, the SOC pattern in the Flores Sea has a random pattern every season for the influence of topography in the form of small islands that influence the SOC dominant pattern. Furthermore, the SOC characteristics on the Bali Strait crossing route throughout the month are divided into two patterns: random on the eastern side of East Java Island and dominant towards the south on the west side of Bali Island with a maximum speed of 83 cm/s. Meanwhile, the crossing route in the Flores Sea is random, with a maximum speed of 32 cm/s. Whereas, based on the normal cross-correlation method, the SOC control factors in the Bali Strait tend to be influenced by tides, while the factors in the Flores Sea are less influential based on the distribution of zonal and meridional currents of HF Radar.

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“…Hsu et al [27] analyzed the logistics chain of prefab products and developed a stochastic optimization model for prefab production scheduling and inventory management. There are also studies on road transport [28][29][30][31] and maritime transport [32][33][34], but these studies do not examine the packing of cargoes onto the vehicles/vessels.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Ship Loading Planning for Prefabricated Products in the Construction Industry

Phipps

Wang

2020

Sustainability

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This paper focuses on sustainable transportation of prefab products from factories to construction sites by ship. Since the transportation cost for all the prefab products of a construction site is mainly dependent on the number of cargo holds used on ships, a loading plan for prefab products that minimizes the number of holds required is highly desirable. This paper is therefore devoted to the development of an optimal loading plan that decides which prefab products are loaded into each cargo hold and how to pack these prefab products into the holds so that as few holds as possible are used. We formulate the problem as a large-scale integer optimization model whose objective function is to minimize the total number of cargo holds used and whose constraints represent the cargo hold capacity limits. We develop a heuristic to solve the problem and obtain a high-quality solution. We have tested the model and algorithm on a case study that includes 20 prefab products. We find that different cargo holds carry prefab products that have quite different densities. Moreover, the orientations of many prefab products are different from their default orientations. The results demonstrate the applicability of the proposed model and algorithm.

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Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship

Cited by 113 publications

References 64 publications

Eco-Friendly Speed Control Algorithm Development for Autonomous Vessel Route Planning

Eco-Friendly Speed Control Algorithm Development for Autonomous Vessel Route Planning

An Analysis of Surface Ocean Currents from HF Radar Measurements in the Bali Strait and the Flores Sea, Indonesia

Sustainable Ship Loading Planning for Prefabricated Products in the Construction Industry

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