Design, simulation and experimental evaluation of energy system for an unmanned surface vehicle

Makhsoos, Ashkan; Mousazadeh, Hossein; Mohtasebi, Seyed Saeid; Abdollahzadeh, Mohammadreza; Jafarbiglu, Hamid; Omrani, Elham; Salmani, Yousef; Kiapey, Ali

doi:10.1016/j.energy.2018.01.158

Cited by 33 publications

(17 citation statements)

References 37 publications

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“…Thus, considering that the basic infrastructure of this layer contains installations for generation, transmission, and distribution of energy, renovation, and automation [6,13] as well as improvements in protection systems [6,31], which are the main technological and economic challenges to overcome. Regarding energy storage systems, the main challenges are the high value of initial investment [36,77] and the short life cycle of batteries [93]. Concerning electric vehicles, three important opportunities for technological development are the optimization of energy consumption by electric vehicles [94], the installation of a greater number of charging points [95], and the addition of renewable energy in these charging stations [96].…”

Section: Physicalmentioning

confidence: 99%

Management Challenges and Opportunities for Energy Cloud Development and Diffusion

et al. 2020

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The use of emerging technologies such as cloud computing, Internet of Things, and Big Data, is increasing as tools to assist the management of data and information related to energy systems grow. This allows for greater flexibility, scalability of solutions, optimization of energy use, and management of energy devices. In this sense, the objective of this research is to present the basic elements and requirements for the energy cloud and its management and discuss the main management challenges and opportunities for the development and diffusion of the energy cloud. This study was based on a systematic review carried out to identify the elements that compose the energy cloud and what is necessary for its management, and to list the challenges and opportunities that may be explored by researchers and practitioners. The results show that the layout for the energy cloud and its management can be structured in layers and management support blocks’ format. It was found that 70 basic elements make up the main layers and 36 basic elements make up the management support blocks. The findings of this article also provide insights into the technical, scientific, and management development necessary for the evolution of energy systems toward the cloud computing environment.

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Section: Physicalmentioning

confidence: 99%

Management Challenges and Opportunities for Energy Cloud Development and Diffusion

et al. 2020

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“…Makhsoos et al. (2018) and Khare and Singh (2012) focused on hybrid energy system design for USVs. The former proposed a system with solar power and 8 KWh capacity lithium‐ion battery.…”

Section: Literature Reviewmentioning

confidence: 99%

Autonomous vessels: state of the art and potential opportunities in logistics

Góez

Guajardo

et al. 2020

Int Trans Operational Res

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The growth in technology on autonomous transportation systems is currently motivating a number of research initiatives. This paper first presents a survey of the literature on autonomous marine vessels in general. By identifying the main research interests in this field, we define 10 thematic categories. The collected articles are then classified according to these categories. We show that research on autonomous vessels has increased dramatically in the past decade. However, most of the published articles have focused on navigation control and safety issues. Studies regarding other topics, such as transport and logistics, are very limited. Although our main interest is the literature on autonomous vessels, we contrast its development with respect to the literature on autonomous cars so as to have a better understanding about the future potentials in the research on autonomous vessels. The comparison shows that there are great opportunities for research about transportation and logistics with autonomous vessels. Finally, several potential research areas regarding logistics with autonomous vessels are proposed. As the technology behind remote‐controlled or autonomous ships is maturing rapidly, we believe that it is already time for researchers in the field to start looking into future water‐borne transport and logistics using autonomous vessels.

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“…On the other hand, the power pack for the USV is simpler than the one needed for the AUV, where in the former case, energy is obtained by two photovoltaic panels, 160 W each [67]. Here an appropriate electrical installation is needed to manage energy production, transformation phase, and storage in the battery pack [68].…”

Section: Power Pack and Energy Managementmentioning

confidence: 99%

ENDURUNS: An Integrated and Flexible Approach for Seabed Survey Through Autonomous Mobile Vehicles

Marini

Gjeci²,

Govindaraj

et al. 2020

JMSE

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The oceans cover more than two-thirds of the planet, representing the vastest part of natural resources. Nevertheless, only a fraction of the ocean depths has been explored. Within this context, this article presents the H2020 ENDURUNS project that describes a novel scientific and technological approach for prolonged underwater autonomous operations of seabed survey activities, either in the deep ocean or in coastal areas. The proposed approach combines a hybrid Autonomous Underwater Vehicle capable of moving using either thrusters or as a sea glider, combined with an Unmanned Surface Vehicle equipped with satellite communication facilities for interaction with a land station. Both vehicles are equipped with energy packs that combine hydrogen fuel cells and Li-ion batteries to provide extended duration of the survey operations. The Unmanned Surface Vehicle employs photovoltaic panels to increase the autonomy of the vehicle. Since these missions generate a large amount of data, both vehicles are equipped with onboard Central Processing units capable of executing data analysis and compression algorithms for the semantic classification and transmission of the acquired data.

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Design, simulation and experimental evaluation of energy system for an unmanned surface vehicle

Cited by 33 publications

References 37 publications

Management Challenges and Opportunities for Energy Cloud Development and Diffusion

Management Challenges and Opportunities for Energy Cloud Development and Diffusion

Autonomous vessels: state of the art and potential opportunities in logistics

ENDURUNS: An Integrated and Flexible Approach for Seabed Survey Through Autonomous Mobile Vehicles

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