A New Method for Calculating Fuel Consumption by Using Speed Loss Function

Abstract

The most important factor affecting fuel consumption is the speed of service. There are many formulas that give the relationship between service speed and fuel consumption. These formulas ignore the weight of the load on the ship or the wind speed. For example, Beaufort numbers and Aertssen numbers are neglected. This neglect makes it difficult to predict the amount of fuel that the ship will consume on the road at each departure. For example, a trip against wind resistance will increase the margin of error of estimated fuel consumption. Although this error does not cause major changes, it will affect the ship's total fuel consumption in the long period. This period can also effect cost of the shipping companies. In this study, the formula which does not neglect the wind speed and load weight is put forward and fuel consumption is modelled with this formula. In addition, results of this methods and classic calculation are compared. Nevertheless, hotelling and maneuvering of the ship are neglected while calculating.

Analyzing the Energy Efficiency Design Index (EEDI) performance of a container ship

“…These ship types correspond roughly to the ship classification as defined in MEPC 2011. A large number of existing studies in the broader literature have examined these ships emissions and their port emissions such as; (Buhaug et al, 2009;Endresen et al 2003;Eyring et al, 2009;Corbett et al, 2007;Cohen et al, 2005;Cofala et al, 2007;Wang et al, 2008;Deniz and Kılıç, 2009;EEA, 2013;Viana et al, 2014;Bayirhan et al, 2019;Mersin, 2020) and these studies have emphasized that ship-borne air emissions have harmful impacts on human health and environment and concrete measures should be taken to reduce its` effects. Although there are many studies in ship exhaust gas emissions, the research in the energy efficiency of ships remains limited.…”

Global Shipping Emissions from a Well-to-Wake Perspective: The MariTEAM Model

“…For added resistance, earlier studies (4,5,6) have made use of the method of (3). In the MariTEAM model, however, a different approach is taken.…”

“…Emissions of other pollutants that are not strictly related to the fuel chemical composition, but rather vary depending on optimal combustion conditions are calculated differently. In those cases, shaft power (P S ) is multiplied by emission factors (EF) that are corrected based on engine load as a percentage of MCR (maximum continuous rating) (LF) and are modelled as polynomial or power equations obtained through regression models based on a literature review (6). …”