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A probabilistic multi-objective design method of sail-photovoltaic-hybrid power system for an unmanned ocean surveillance trimaran.

Authors :
Zhu, Jianyun
Chen, Li
Source :
Applied Energy. Nov2023, Vol. 350, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Considering the abundant wind and solar energy resources on waters, this paper integrates wind assistant propulsion and photovoltaic technology with ship electric power system as sail-photovoltaic-hybrid power system (sail-PV-HPS). When properly designed, sail-PV-HPS can present environmental and economic benefits compared with conventional sail-diesel power system. However, the optimal design of sail-PV-HPS is a complex task due to environmental uncertainties. In order to fill such gap, this paper proposes a probabilistic optimization method to determine the size parameters of sail-PV-HPS, pursing minimum GHG emission and lifecycle cost. Two pairs of joint distributions of wind speed and wind direction as well as solar irradiance and ambient temperature are established based on coupla function considering the interconnection and seasonal characteristics of the meteorology variables. The performance of the proposed approach is assessed by the retrofit of the power system of an unmanned ocean surveillance trimaran sailing in the Yellow Sea area. A deterministic optimization and a quasi-probabilistic optimization are performed to highlight the effect and importance of taking the uncertainties and their correlation into consideration. Results show that the sail-PV-HPS designed by the proposed probabilistic method outperforms the sail-PV-HPS given by the deterministic optimization and a quasi-probabilistic optimization, as well as, the original power system of the trimaran in terms of GHG emission and lifecycle cost. • Probabilistic optimization is proposed perusing minimum GHG emissions and life cycle cost for hybrid power systems. • Uncertainties in wind direction, wind speed, solar irradiance and ambient temperature are considered simultaneously. • Joint distributions are established with copula function to describe interconnection between the meteorology variables. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03062619
Volume :
350
Database :
Academic Search Index
Journal :
Applied Energy
Publication Type :
Academic Journal
Accession number :
172346842
Full Text :
https://doi.org/10.1016/j.apenergy.2023.121604