Novel comparison study between the hybrid renewable energy systems on land and on ship

Diab, Fahd; Lan, Hai; Ali, Salwa

doi:10.1016/j.rser.2016.05.053

Cited by 85 publications

(30 citation statements)

References 66 publications

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“…Diab et al [10] compared onshore hybrid renewable systems with the equivalent sets of on-board systems, revealing that the combination of solar and battery systems can improve the efficiency of ship performance.…”

Section: Overview Of Hybrid Shipsmentioning

confidence: 99%

Multi-criteria decision-making for marine propulsion: Hybrid, diesel electric and diesel mechanical systems from cost-environment-risk perspectives

et al. 2018

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The paper introduces a new decision-making process which is used to compare the performance of a ship with either diesel electric hybrid propulsion or conventional propulsion systems. A case study was carried out to compare the performance of both propulsions from cost, environmental and risk perspectives. This paper also overviews the modern approaches of multi-criteria decision-making and highlights some of their shortcomings in particular the fact that these approaches often rely on different criteria such as financial, environmental or risk. This paper aims to overcome this shortcoming by enhancing the process of multi-criteria decision analysis. The key process in this research was to convert all incomparable values into monetary values, thereby enabling the impacts of each criterion to be compared and integrated in a straightforward manner. Results of the case study showed that the use of a hybrid propulsion system could reduce annual operational costs by $ 300,000 (2 % total cost) compared with a diesel electric system and almost $ 1 million (7 %) compared to a diesel *Revised Manuscript with No Changes Marked mechanical propulsion system. In order to investigate the optimal use of the hybrid propulsion system, various operational scenarios were identified and applied to the proposed decision-making process. The results showed that operating the ship in hybrid mode during manoeuvring and berthing is more desirable as the holistic cost can reduce in almost $ 1 million. The advantages of the proposed decision making process was illustrated by comparing the results obtained from a conventional decision-making process using the analytical hierarchical method. It is believed that the research findings not only present general understanding of the possible advantages of hybrid propulsion for stakeholders, but provide them with an insight into the enhanced approach into the multi-criteria decision analysis.

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Section: Overview Of Hybrid Shipsmentioning

confidence: 99%

Multi-criteria decision-making for marine propulsion: Hybrid, diesel electric and diesel mechanical systems from cost-environment-risk perspectives

et al. 2018

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“…The variety of SPU CPC modes, when using LIB, determines not only more range of developed capacities and sizes of the batteries, but also a wide voltage range (from seven to several hundred volts) of the batteries based on them that are necessary for the implementation of certain powerful, energy and performance of PVGS [44,45].…”

Section: Issn 2226-3780mentioning

confidence: 99%

Conceptualization of research of power hybrid electric power complexes

Budashko

Glazeva

Samonov

2016

TAPR

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“…Currently, some developed countries (e.g., European and North American countries), as well as China, are developing technologies related to the design and manufacture of solar ships. These studies have mainly focused on the integrated design of solar energy systems [5][6][7], energy conversion devices [8], energy management systems [9], optimization and matching of system parameters [10,11], and maximum power point tracking (MPPT) [12], and some significant results have been achieved. However, when a ship's existing solar system is studied, the characteristics of a ship's electrical load are a major consideration.…”

Section: Introductionmentioning

confidence: 99%

A Novel Energy Management Strategy for a Ship’s Hybrid Solar Energy Generation System Using a Particle Swarm Optimization Algorithm

et al. 2020

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Due to the pressures caused by the energy crisis, environmental pollution, and international regulations, the largest ship-producing nations are exploring renewable resources, such as wind power, solar energy, and fuel cells to save energy and develop more environmentally-friendly ships. Solar energy has recently attracted a great deal of attention from both academics and practitioners; furthermore, the optimization of energy management has become a research topic of great interest. This paper takes a solar-diesel hybrid ship with 5000 car spaces as its research object. Then, following testing on this ship, experimental data were obtained, a multi-objective optimization model related to the ship’s fuel economy and diesel generator’s efficiency was established, and a partial swarm optimization algorithm was used to solve a multi-objective problem. The results show that the optimized energy management strategy for a hybrid energy system should be tested under different electrical loads. Moreover, the hybrid system’s economy should be taken into account when the ship’s power load is high, and the output power from the new energy generation system should be increased as much as possible. Finally, the diesel generators’ efficiency should be taken into consideration when the ship’s electrical load is low, and the injection power of the new energy system should be reduced appropriately.

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Novel comparison study between the hybrid renewable energy systems on land and on ship

Cited by 85 publications

References 66 publications

Multi-criteria decision-making for marine propulsion: Hybrid, diesel electric and diesel mechanical systems from cost-environment-risk perspectives

Multi-criteria decision-making for marine propulsion: Hybrid, diesel electric and diesel mechanical systems from cost-environment-risk perspectives

Conceptualization of research of power hybrid electric power complexes

A Novel Energy Management Strategy for a Ship’s Hybrid Solar Energy Generation System Using a Particle Swarm Optimization Algorithm

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