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An Energy Saving Management Strategy for Battery-Aided Ship Propulsion Systems

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Jun 2019 Italy Publisher:IEEEJournal:2019 IEEE Milan PowerTech

Authors: Alfieri L.; Mottola F.; Pagano M.;

doi: 10.1109/ptc.2019.8810670

handle: 11588/760883

An Energy Saving Management Strategy for Battery-Aided Ship Propulsion Systems

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Abstract

This paper examines the management of ship power systems equipped by energy storage systems. Energy storage in the on-board power system can increase the efficiency of prime movers in order to reduce fuel consumption and pollutant emissions. In this paper, a management strategy for the on-board electrical network is proposed. The strategy optimally balances the charge/discharge of the storage device, the power of the generation system, the loads’ demand of hotels, auxiliaries, and electrical machineries used for propulsion and maneuvering purposes. The optimal approach aims at minimizing the fuel consumption, while technical constraints of the on-board system are considered in terms of both generation system and energy storage system. A case study of a real off-shore supply vessel is proposed. The results of the numerical application are discussed showing the effectiveness of the proposed strategy.

Country

Italy

Related Organizations

Parthenope University of Naples
Italy
University Federico II of Naples
Italy

Keywords

More-electric ship; Optimization problem; Ship power system, More-electric ship, Optimization problem, Ship power system

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	6
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%