S.A. MALLIAROUDAKIS MARITIME (UK) LTD.

S.A. MALLIAROUDAKIS MARITIME (UK) LTD.
S.A. MALLIAROUDAKIS MARITIME (UK) LTD.

Πέμπτη, 22 Μαρτίου 2018

Cargo Split and Auto Trim software

Features and Immediate benefits of Cargo Split and Auto Trim software are the following:

• Calculation of optimum cargo distribution for achieving the most efficient Trim.
• This Module is particularly useful during the last stages of actual Cargo Loading operation in the port.
• Given a quantity of cargo that is yet to be loaded, with this stand-alone program can calculate how you should split the given quantity between two compartments in order to attain a given Trim.
• Upgrade of your already approved Loading Program.
• No need for Class Approval.


Τετάρτη, 14 Μαρτίου 2018

Why Speed Through Water is so significant in Ships' Performance Assessment?

Speed through water measurements should in theory not be affected by current. Speed log constitutes the only instrument onboard, which can provide such measurements even not so precisely.

Even a modern dual axis Doppler log cannot always be relied upon. Most errors are expected to be caused by irregular currents, shallow waters, ship motions etc..

The abovementioned factors can be identified automatically by a performance monitoring system, as SMM Ship Performance Service that correlates the inflow speed of the propeller with STW.




Δευτέρα, 12 Μαρτίου 2018

Clean Hull Savings Calculator Software

The economic importance of underwater hull condition cannot be understated. SMM (UK) Ltd. has developed a new Hull Roughness Penalty/Annual Gain Calculator. This is a ship-specific software that includes a solver for the estimation of the loss of speed, increase of power and eventually F.O. consumption reduction interpreting Divers' Report.

The programme compares vessel fuel usage and derives the relative gain ($/year) for hull cleaning or new coating application. By comparing the hull roughness as built, the existing one prior to cleaning to the predicted roughness upon such operation, it is possible to predict the potential fuel cost difference and potential nett benefit.