Autonomous Underwater Vehicle Powered by Direct Methanol Fuel Cell-Based Power Plants: A Quick Preliminary Design Model
| Autor: | Teresa J. Leo, Loredana Magistri, Antonio Villalba-Herreros, Óscar Santiago |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Battery (electricity)
CO2 capture Power station Computer science 02 engineering and technology 010402 general chemistry 01 natural sciences lcsh:Technology Automotive engineering lcsh:Chemistry Genetic algorithm genetic algorithm General Materials Science Underwater Instrumentation Methanol fuel lcsh:QH301-705.5 AUV methanol Fluid Flow and Transfer Processes endurance Payload lcsh:T Process Chemistry and Technology General Engineering 021001 nanoscience & nanotechnology lcsh:QC1-999 0104 chemical sciences Computer Science Applications Power (physics) lcsh:Biology (General) lcsh:QD1-999 lcsh:TA1-2040 0210 nano-technology lcsh:Engineering (General). Civil engineering (General) DMFC Underwater acoustic communication lcsh:Physics |
| Zdroj: | Applied Sciences Volume 10 Issue 21 Applied Sciences, Vol 10, Iss 7687, p 7687 (2020) |
| ISSN: | 2076-3417 |
| DOI: | 10.3390/app10217687 |
| Popis: | Investigation, conservation, and exploitation of seas require platforms capable of accomplishing a wide variety of missions in harsh environments with restricted human intervention for long periods of time. Autonomous Underwater Vehicles (AUVs) are excellent tools for carrying out these missions due to their versatility and ability to access remote sites. However, despite the improvement of their capabilities, their development is not devoid of challenges. Endurance, among others, such as underwater communications or autonomy, is still a pending subject. Current battery-based solutions do not offer sufficient endurance and innovative power plants with higher energy content are needed. This work studies the advantages, in terms of endurance, of using a power plant based on Direct Methanol Fuel Cells (DMFCs) to power AUVs. In order to accomplish this, a multi-objective optimization tool that makes use of a genetic algorithm was developed. This tool allows quick preliminary design of AUVs with a DMFC-based power plant, complying with a user-defined payload, operation profile, and restrictions. Six designs based on a real AUV model were studied, and endurance values up to 2 times longer than the corresponding reference AUV were obtained. These results support the benefits of using DMFCs to power AUVs to increase their endurance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|