Advances in Recent Marine Engineering Technology

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: 28 February 2025 | Viewed by 629

Special Issue Editor


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Guest Editor
Marine Engineering College, Dalian Maritime University, Dalian 116026, China
Interests: ship mechatronics; smart sensor technology; ship pollution prevention and control technology; microfluidic chip technology
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Special Issue Information

Dear Colleagues,

Marine engineering is at the forefront of digitalization, intelligentization, and green energy transformation. The research directions in marine engineering discussed in this Special Issue have rapidly developed since the early 21st century.

The development of green energy and power systems is pivotal for improving ship performance while concurrently reducing their ecological footprint. Innovations in intelligent perception and autonomous control systems are also high on our agenda, as they promise to automate ship operations, thereby enhancing safety and operational proficiency. Furthermore, the integration of robotics and unmanned systems into ship maintenance, detection, and marine exploration is an area that is rapidly gaining traction. Through such advancements, we can ensure the longevity and reliability of our maritime assets. Equally significant are the efforts directed toward environmental restoration and pollution control, which are fundamental to preserving the integrity of our marine ecosystems. Research into engine combustion and emission control technologies is another critical area for mitigating ship emissions' environmental impact. In addition, the design and manufacturing of novel ships and ocean engineering equipment, as well as the exploration of new energy sources for the ocean, are the focus of innovative marine engineering technologies.

These directions showcase the industry's commitment to technological innovation and environmental sustainability. This Special Issue encourages scholars to contribute their groundbreaking work to the above-evolving field.

Prof. Dr. Hongpeng Zhang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • green energy and power systems
  • intelligent perception
  • autonomous control
  • unmanned systems
  • unmanned vessel technology
  • pollution control
  • environmental restoration
  • advanced combustion technology
  • intelligent monitoring and maintenance

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Published Papers (1 paper)

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Research

29 pages, 2212 KiB  
Article
A Robust Multi-Objective Evolutionary Framework for Artificial Island Construction Scheduling Under Dynamic Constraints
by Tianju Zheng, Liping Sun, Mingwei Li, Guangyao Yuan and Shuqi Li
J. Mar. Sci. Eng. 2024, 12(11), 2008; https://doi.org/10.3390/jmse12112008 - 7 Nov 2024
Viewed by 424
Abstract
Artificial island construction is a multifaceted engineering endeavor that demands precise scheduling to optimize resource allocation, control costs, ensure safety, and minimize environmental impact within dynamic marine environments. This study introduces a comprehensive multi-objective optimization model that integrates critical factors such as resource [...] Read more.
Artificial island construction is a multifaceted engineering endeavor that demands precise scheduling to optimize resource allocation, control costs, ensure safety, and minimize environmental impact within dynamic marine environments. This study introduces a comprehensive multi-objective optimization model that integrates critical factors such as resource limitations, task dependencies, environmental variability, safety risks, and regulatory compliance. To effectively address the complexities of this model, we develop and employ the Multi-Objective Adaptive Cooperative Evolutionary Marine Genetic Algorithm (MACEMGA). MACEMGA combines cooperative coevolution, adaptive dynamic weighting, dynamic penalty functions, and advanced genetic operators to navigate the solution space efficiently and identify Pareto optimal schedules. Through extensive computational experiments using data from the Dalian Bay Cross-Sea Traffic Engineering project, MACEMGA is benchmarked against algorithms such as NSGA-II, SPEA2, and MOEA/D. The results demonstrate that MACEMGA achieves a reduction in construction time from 32.8 to 23.5 months and cost savings from CNY 4105.3 million to CNY 3650.0 million while maintaining high-quality outcomes and compliance with environmental standards. Additionally, MACEMGA shows improvements in hypervolume by up to 15% over existing methods and a Convergence Rate that is 8% faster than MOEA/D. Full article
(This article belongs to the Special Issue Advances in Recent Marine Engineering Technology)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Optimization-based energy management algorithm for 2-stroke hybrid ship with controllable pitch propeller
Abstract: This paper examines fuel consumption savings of a hybrid ship powertrain with 2-stroke main engine by implementing a novel adaptive equivalent consumption minimization strategy that utilizes a controllable pitch propeller. A non-hybrid powertrain model was developed as a demonstrator and real-world data was used for fuel consumption and efficiency maps. The baseline powertrain model was extended to hybrid by introducing a shaft-generator, a battery and a controllable pitch propeller and the supervisory control algorithm. The potential benefits of the proposed powertrain are examined over different operation phases including port stay, open sea sailing and port approach. The result showed that the energy efficiency gains can reach up to 6% under open sea sailing phase. Furthermore, the controllable pitch propeller offers additionally energy efficiency benefits of 2% under port approach phase, utilizing the proposed algorithm. If the proposed powertrain is produced and the implemented algorithm is adopted, this could lead to substantial carbon dioxide emissions and fuel consumption savings at sea.

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