Dynamic optimization of ship energy efficiency considering time-varying environmental factors

Wang, Kai; Yan, Xinping; Yuan, Yupeng; Jiang, Xiaoli; Xiang, Lin; Negenborn, Rudy R.

doi:10.1016/j.trd.2018.04.005

Cited by 73 publications

(36 citation statements)

References 33 publications

(36 reference statements)

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“…Wang et al analyzed the relationship between the sailing speed, navigation environment, and ship fuel consumption in the Yangtze River based on a ship's energy efficiency model. They proved that the influence of current flow on ship energy consumption is more significant [27].…”

Section: Literature Reviewmentioning

confidence: 99%

Effect of Seasonal Flow Field on Inland Ship Emission Assessment: A Case Study of Ferry

et al. 2020

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The purpose of this paper is to evaluate the effect of the seasonal flow field on inland ship emissions and to improve calculation accuracy. Firstly, the flow field model is built through numerical simulation to correct the sailing speed of the ship from the Automatic Identification System (AIS) information in real-time. Then, an optimal emission estimation model for inland ships considering flow field factors is proposed. Finally, the effectiveness of the optimization model is demonstrated by a case study, and the influence of the seasonal flow field on emission calculation is analyzed. It indicates that the calculation results of the model considering the influence of the flow field are more accurate. Without considering the flow field, the results of emission calculations are often underestimated, especially in summer, which shows the importance of incorporating the flow field factors into the calculation of inland ship emissions.

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Section: Literature Reviewmentioning

confidence: 99%

Effect of Seasonal Flow Field on Inland Ship Emission Assessment: A Case Study of Ferry

et al. 2020

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“…Considering the second component of equation (22), R A , denoted also as added resistance , 56-58 it summarizes the effect of the weather (wind and waves) and can be further decomposed into two terms, the added wind and added wave resistances…”

Section: Modeling Of the Systemmentioning

confidence: 99%

“…Outside the scope of weather routing, research work on the problem of speed optimization, taking into account the weather conditions, and defining the problem in similar context as the present work can only be found in very recent publications. 28–32…”

Section: Introductionmentioning

confidence: 99%

“…The effect of weather conditions on ship speed is modeled as a cost in travel time, while no analytical models of resistance-propulsion (and hence consumption) are used. Wang et al 29 formulate the problem in a dynamic optimization context and solve it via a Model Predictive Control method, while an appropriate ship performance indicator is selected as the objective function. Analytical models from the literature are applied in order to model ship performance.…”

Section: Introductionmentioning

confidence: 99%

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Synthesis, design and operation optimization of a combined cycle integrated energy system including optimization of the seasonal speed of a VLCC

Sakalis

Tzortzis

Frangopoulos

2020

Proceedings of the Institution of Mechanical Engineers, Part M:

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The study of an integrated energy system is presented in this article that will cover all types of energy loads (mechanical, electrical, thermal) on a Very Large Crude Carrier (VLCC) with the maximum technically possible and economically feasible exploitation of fuel energy, thus reducing the operating cost and environmental footprint of the ship. There may be a large variety of configurations, design specifications and operating states that can cover the loads, making it necessary to apply synthesis, design and operation optimization of the system. The net present value of the system is selected as the objective function. For this purpose, a superconfiguration of the system is considered, which includes a number of Diesel engines adapted for possible operation in a combined Diesel and Rankine cycle, heat recovery steam generators producing high and low pressure steam, steam turbines that can contribute to propulsion and/or to the electricity production, an exhaust gas boiler and auxiliary boilers, as well as Diesel-generator sets. The synthesis of the system, that is, the components that will finally exist in the system, and their interconnections, the design specification of the components and the operating properties at characteristic operating states of the ship are not predetermined, but they are the result of formal, mathematical optimization. In addition, the speed of the vessel in each state, an important operational variable that has a crucial effect on the propulsion power and thus on the fuel consumption, is also determined by the optimization. The hull characteristics, the loading condition and the weather state are taken into account for the calculation of the propulsion power. For the optimization, proper models of the various components have been developed and the optimization problem is solved by addressing the three levels (synthesis, design, and operation) at a single computational step. The benefits of optimization, as well as the conditions that make the combined cycle economically justified, are demonstrated through an application example. The numerical solution is obtained for various values of fuel price and freight rate, so that the effects of these two crucial parameters on the optimal solution are assessed.

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“…Moreover, the carbon emissions of wave energy converter (WEC) are smaller than solar energy generation. For ships, the high precision of ship maneuvering systems plays a crucial role in ship controller design [4] and operation energy efficiency [5], which can significantly reduce the carbon emissions of the shipping industry. A wave energy converter needs an accurate hydrodynamic model to predict power generation efficiency under different wave conditions to be used for operational planning [6].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Model Identification of Ships and Wave Energy Converters Based on Semi-Conjugate Linear Regression and Noisy Input Gaussian Process

Liu

Xue

Huang

et al. 2021

JMSE

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Reducing the carbon emissions of ships and increasing the utilization of marine renewable energy are the important ways to achieve the goal of carbon neutrality in ocean engineering. Establishing an accurate mathematical model is the foundation of simulating the motion of marine vehicles and structures, and it is the basis of operation energy efficiency optimization and prediction of power generation. System identification from observed input–output data is a practical and powerful method. However, for modeling objects with different characteristics and known information, a single modeling framework can hardly meet the requirements of model establishment. Moreover, there are some challenges in system identification, such as parameter drift and overfitting. In this work, three robust methods are proposed for generating ocean hydrodynamic models based on Bayesian regression. Two Bayesian techniques, semi-conjugate linear regression and noisy input Gaussian process regression are used for parametric and nonparametric gray-box modeling and black-box modeling. The experimental free-running tests of the KRISO very large crude oil carrier (KVLCC2) ship model and a multi-freedom wave energy converter (WEC) are used to validate the proposed Bayesian models. The results demonstrate that the proposed schemes for system identification of the ship and WEC have good generalization ability and robustness. Finally, the developed modeling methods are evaluated considering the aspects required conditions, operating characteristics, and prediction accuracy.

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Dynamic optimization of ship energy efficiency considering time-varying environmental factors

Cited by 73 publications

References 33 publications

Effect of Seasonal Flow Field on Inland Ship Emission Assessment: A Case Study of Ferry

Effect of Seasonal Flow Field on Inland Ship Emission Assessment: A Case Study of Ferry

Synthesis, design and operation optimization of a combined cycle integrated energy system including optimization of the seasonal speed of a VLCC

Dynamic Model Identification of Ships and Wave Energy Converters Based on Semi-Conjugate Linear Regression and Noisy Input Gaussian Process

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