A Power Demand Analytical Model of Self-Propelled Vessels

The article herein presents a closed-form mathematical equation by which it is possible to estimate the propulsion power demand of ships as a function of the propeller parameters and total Resistance. The validation of the derived model is conducted by use of the Series 60 Model data and of the Kore...

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Main Author: Javier Zamora
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/9/12/1450
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author Javier Zamora
author_facet Javier Zamora
author_sort Javier Zamora
collection DOAJ
description The article herein presents a closed-form mathematical equation by which it is possible to estimate the propulsion power demand of ships as a function of the propeller parameters and total Resistance. The validation of the derived model is conducted by use of the Series 60 Model data and of the Korea Research Institute of Ships and Ocean Engineering (KRISO) Very Large Crude-oil Carrier 2 (KVLCC2) data. In all the cases tested, the derived model explained more than 99.9% of the data variability. Furthermore, the paper describes a practical method for quantifying changes in hull and propeller performance and provides an application example.
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spelling doaj.art-ce8386adfc664ee295778116b00225d42023-11-23T09:03:56ZengMDPI AGJournal of Marine Science and Engineering2077-13122021-12-01912145010.3390/jmse9121450A Power Demand Analytical Model of Self-Propelled VesselsJavier Zamora0Navalytica, 8 The Green, Dover, DE 12872, USAThe article herein presents a closed-form mathematical equation by which it is possible to estimate the propulsion power demand of ships as a function of the propeller parameters and total Resistance. The validation of the derived model is conducted by use of the Series 60 Model data and of the Korea Research Institute of Ships and Ocean Engineering (KRISO) Very Large Crude-oil Carrier 2 (KVLCC2) data. In all the cases tested, the derived model explained more than 99.9% of the data variability. Furthermore, the paper describes a practical method for quantifying changes in hull and propeller performance and provides an application example.https://www.mdpi.com/2077-1312/9/12/1450vessel performance predictionvessel performance evaluationvessel power predictionbiofoulingship performance
spellingShingle Javier Zamora
A Power Demand Analytical Model of Self-Propelled Vessels
Journal of Marine Science and Engineering
vessel performance prediction
vessel performance evaluation
vessel power prediction
biofouling
ship performance
title A Power Demand Analytical Model of Self-Propelled Vessels
title_full A Power Demand Analytical Model of Self-Propelled Vessels
title_fullStr A Power Demand Analytical Model of Self-Propelled Vessels
title_full_unstemmed A Power Demand Analytical Model of Self-Propelled Vessels
title_short A Power Demand Analytical Model of Self-Propelled Vessels
title_sort power demand analytical model of self propelled vessels
topic vessel performance prediction
vessel performance evaluation
vessel power prediction
biofouling
ship performance
url https://www.mdpi.com/2077-1312/9/12/1450
work_keys_str_mv AT javierzamora apowerdemandanalyticalmodelofselfpropelledvessels
AT javierzamora powerdemandanalyticalmodelofselfpropelledvessels