Integrating multi-source maritime information to estimate ship exhaust emissions under wind, wave and current conditions

Huang, Liang; Wen, Yuanqiao; Geng, Xiaoqiao; Zhou, Chunhui; Xiao, Changshi

doi:10.1016/j.trd.2017.12.012

Cited by 66 publications

(27 citation statements)

References 18 publications

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“…While Bal Beşikçi et al, 9 mainly focused on fuel consumption estimation and partially the estimation of fuel costs and emissions, this study used fuel consumption as one of the main inputs and aimed to reach emission amounts and determine a weather routing from environmental and economic perspectives. Huang et al, 57 developed a mathematical model in which the impacts of wind, wave and current to the emission formation were used as inputs. The authors indicated that the error in the emission estimation process in within the range of 16.9%–21.94%.…”

Section: Resultsmentioning

confidence: 99%

Estimation of ship flue gas emissions in dynamic operational conditions with ANN

Bilgili

Çelebi

2020

Proceedings of the Institution of Mechanical Engineers, Part M:

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While ship emissions are incomparably less in comparison to land units, the threat of the world’s population and certain regions are in a serious danger due to 70% of these emissions occur in areas up to 400 km from the coast and on certain maritime routes. The formation of ship emissions strongly depends on the dynamically varying travel conditions and it is important to identify the emissions in order to guide the rule-makers to take the necessary measures correctly. In this study, an emission estimation modelling based on dynamic variables, such as voyage duration, engine revolutions per minute, speed, displacement, weather condition, sea conditions and average draught, has been realized by using artificial neural networks (ANN). The difference between the results of ANN and traditional estimation methods was found to be 1.57%. Then, in order to determine the optimum route, the ANN model was implemented for June and January in the Northern and Southern routes of the Atlantic and Pacific Oceans and it was concluded that harder sea and weather conditions produced more emissions. Finally, fuel consumptions, fuel costs and social costs of the emissions for different routes were calculated.

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Section: Resultsmentioning

confidence: 99%

Estimation of ship flue gas emissions in dynamic operational conditions with ANN

Bilgili

Çelebi

2020

Proceedings of the Institution of Mechanical Engineers, Part M:

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“…Many methods and optimization models have been proposed to reduce the uncertainty of ship emission calculations. Huang et al established a mathematical model to analyze the effect of marine environment conditions (wind, waves, and currents) on ship emissions to obtain more accurate calculation results [20]. Zhang et al studied the impact of unidentified vessels (vessels without engine data or other pertinent specifications) on the estimation of ship emission inventory, and emphasized the importance of the integrity of basic ship data [21].…”

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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“…Currently, many studies discuss transportation exhaust emissions, ranging from the concept of transportation exhaust emissions [7], transportation exhaust gas emission processes [8], the impact of transportation exhaust emissions on health [9], the impact of transportation exhaust emissions on the environment [10], and efforts to tackle transportation exhaust emissions [11]. However, until now, there has been no research that discusses science learning materials for students with special needs regarding the concept of exhaust emissions in transportation equipment.…”

Section: Introductionmentioning

confidence: 99%

Science Teaching Materials for Students with Special Needs: Concept of Exhaust Emissions in Transportation Equipment

Maryanti¹

2021

IJSTT

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The purpose of this study was to find out science learning materials for students with special needs regarding the concept of exhaust emissions in transportation equipment. The research method used experimental demonstration. We prepared research instruments for learning the concept of exhaust emissions in transportation equipment for students with special needs. The results showed that several tools and materials must be provided and several lists of research instrument questions were made. In addition to tools and materials, methods and media must also be adapted to the needs of the child. That’s because the methods and media that are in accordance with the needs of students can make it easier for students to understand the learning material. We hope that the results of this study can make it easier for teachers to teach the concept of exhaust gas emission on transportation equipment, especially for students with special needs.

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Integrating multi-source maritime information to estimate ship exhaust emissions under wind, wave and current conditions

Cited by 66 publications

References 18 publications

Estimation of ship flue gas emissions in dynamic operational conditions with ANN

Estimation of ship flue gas emissions in dynamic operational conditions with ANN

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

Science Teaching Materials for Students with Special Needs: Concept of Exhaust Emissions in Transportation Equipment

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