Due to the recent need of more flexibility in electrical ship systems exploitation, especially in the context of "All Electric Ships", and because of the uncertainty in evaluating the electrical load demand at design stage, a more rational approach is necessary for a satisfactory Electrical Plant Load Analysis (EPLA). In this work, instead of the traditional load factors method, stochastic approaches are analysed to characterize loads with the direct purpose of decreasing the amount of electrical power installed on-board. Three stochastic models describe loads that are always "on", loads that cycle on and off independently of others and loads that depends on the considered configuration. Once the model and a distribution are chosen, a variant of the Monte Carlo simulation is implemented to evaluate the total load probability density function (pdf) for some operational scenarios such as cruising, manoeuvring, in port and navigation.

Stochastic electrical plan load Analysis for increasing flexibility in electrical ship system

GUALENI, PAOLA;SILVESTRO, FEDERICO
2016-01-01

Abstract

Due to the recent need of more flexibility in electrical ship systems exploitation, especially in the context of "All Electric Ships", and because of the uncertainty in evaluating the electrical load demand at design stage, a more rational approach is necessary for a satisfactory Electrical Plant Load Analysis (EPLA). In this work, instead of the traditional load factors method, stochastic approaches are analysed to characterize loads with the direct purpose of decreasing the amount of electrical power installed on-board. Three stochastic models describe loads that are always "on", loads that cycle on and off independently of others and loads that depends on the considered configuration. Once the model and a distribution are chosen, a variant of the Monte Carlo simulation is implemented to evaluate the total load probability density function (pdf) for some operational scenarios such as cruising, manoeuvring, in port and navigation.
2016
9781909024502
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/849272
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