2018
DOI: 10.21278/brod69402
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Impact of Wind Loads on Long-Term Fuel Consumption and Emissions in Trans-Oceanic Shipping

Abstract: The influence of weather conditions on fuel consumption and CO2 emissions for a containership is assessed by calculating the total added resistance, for various sea-states and relative wave directions, through a time domain procedure. The present article extended a formerly published research presented during the IMAM2015 conference [1] providing a deeper insight of the methodology adopted furtherly discussing the results achieved. In particular, the present paper studies the impact of wind velocity and direct… Show more

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Cited by 12 publications
(3 citation statements)
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References 24 publications
(30 reference statements)
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“…Reliable information on aerodynamic loads can also be potentially used in the inverse problem of identification of the mathematical model parameters using full-scale ship data typically obtained in the presence of significant wind [3][4][5][6][7][8]. Another important application of the aerodynamic forces is to assess the ship speed loss due to wind and its effect on voyage duration and ship emissions [9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…Reliable information on aerodynamic loads can also be potentially used in the inverse problem of identification of the mathematical model parameters using full-scale ship data typically obtained in the presence of significant wind [3][4][5][6][7][8]. Another important application of the aerodynamic forces is to assess the ship speed loss due to wind and its effect on voyage duration and ship emissions [9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…The performance of ships in seaways is also related to other operational aspects, such as the draught and trim of the ships [33][34][35] and the influence of wind [36,37]. As it is very difficult to properly account for all factors in a predictive model, many approaches have opted to address voyage data to derive global properties [38,39].…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, the weather forecast is affected by uncertainties [7], which are nowadays to be mostly attributed to the inaccurate and partial knowledge about the initial conditions as third-generation numerical weather prediction models have achieved a high level of model accuracy. Only uncertainties related to the significant wave height and the wave period are accounted in this work for the sake of clarity, however, effortless extensions are possible, such as considering the effect of wind [8].…”
Section: Introductionmentioning
confidence: 99%