Abstract
The use of autonomous marine vehicles is growing in the last decade in the offshore industry applications. These vehicles are employed in multiple surface and underwater activities as inspections, mapping or research. The vehicles employed by marine companies, institutions and governments required a careful study in the field on environmental impact. The emissions reduction and eco-friendly performance of the modern vehicles are one of the main milestones in the current projects. This development has been promoted by the governments and political policies, according to the climate change and the environment preservation. Thereby, the use of recyclable materials, safe manufacturing processes and green energy in these vehicles require to be done according to sustainability issues. The study of the Life Cycle Assessment is a standardized process in manufacturing products with several commercial and economic implications. To develop this process, it is required the use of standards and analysis methodologies that are being supported nowadays by different software and databases. This study, with the ENDURUNS guidelines as reference (H2020 Project), presents a draft of the Life Cycle issues for different devices and vehicles developed in the project. This paper presents the goal, scope, evaluation and interpretation of the autonomous vehicles developed in ENDURUNS. The results of this study provide valuable information to consider the suitability of the project devices according to the regulations.
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Acknowledgements
This research was funded by European Commission’s Research and Innovation Agency (RIA) under the European Union’s Horizon 2020 Research and Innovation Programme (Research Grant Agreement H2020-MG-2018-2019-2020 n.824348).
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Sánchez, P.J.B., Asensio, M.T., Papaelias, M., Márquez, F.P.G. (2021). Life Cycle Assessment in Autonomous Marine Vehicles. In: Xu, J., García Márquez, F.P., Ali Hassan, M.H., Duca, G., Hajiyev, A., Altiparmak, F. (eds) Proceedings of the Fifteenth International Conference on Management Science and Engineering Management. ICMSEM 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 79. Springer, Cham. https://doi.org/10.1007/978-3-030-79206-0_17
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