A Comprehensive Review of Shipboard Power Systems with New Energy Sources
He Yin,
Hai Lan (),
Ying-Yi Hong,
Zhuangwei Wang,
Peng Cheng,
Dan Li and
Dong Guo
Additional contact information
He Yin: Yantai Research Institute of Harbin Engineering University, Yantai 264000, China
Hai Lan: College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
Ying-Yi Hong: Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan 32023, Taiwan
Zhuangwei Wang: Yantai Research Institute of Harbin Engineering University, Yantai 264000, China
Peng Cheng: College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
Dan Li: Yantai Research Institute of Harbin Engineering University, Yantai 264000, China
Dong Guo: Yantai Research Institute of Harbin Engineering University, Yantai 264000, China
Energies, 2023, vol. 16, issue 5, 1-44
Abstract:
A new energy ship is being developed to address energy shortages and greenhouse gas emissions. New energy ships feature low operational costs and zero emissions. This study discusses the characteristics and development of solar-powered ships, wind-powered ships, fuel cell-powered ships, and new energy hybrid ships. Three important technologies are used for the power system of the new energy ship: new-energy spatio-temporal prediction, ship power scheduling, and Digital Twin (DT). Research shows that new energy spatio-temporal prediction reduces the uncertainty for a ship power system. Ship power scheduling technology guarantees safety and low-carbon operation for the ship. DT simulates the navigational environment for the new energy ship to characterize the boundary of the shipboard’s new energy power generation. The future technical direction for new energy ship power systems is also being discussed.
Keywords: ship power system; new energy; spatio-temporal prediction; ship power scheduling; digital twin (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.mdpi.com/1996-1073/16/5/2307/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/5/2307/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:5:p:2307-:d:1082567
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().