Abstract
The future implementation of an autonomous ship is intended to be an alternative for a sustainable shipping industry. The systems embarked on board of such type of ship should be designed with an enhanced automation, permitting its safe and autonomous operation. The seawater cooling system is one of these important systems, that ensures the cooling down of the low temperature fresh water, that in its turn cools down various thermal machinery on board of a conventional ship. The reliability and availability of this system is a key factor for a safe operation of an autonomous ship. However, its design should permit its autonomous function without human intervention and in case of a failure that cannot be resolved autonomously, the shore control center may take control remotely to restore the normal situation. In this work we propose a multi-agent approach to model the behavior of the seawater central cooling system. Each component of this system is able to act and react autonomously to achieve a function or execute an action. The proposed level of automation may function either autonomously without human intervention or be controlled remotely in case of “Fail to safe” by an operator, based in a shore control center.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
European Maritime Safety Agency (EMSA): Annual overview of marine casualties and incidents (2018). www.emsa.europa.eu
Theotokatos, G., Sfakianakis, K., Vassalos, D.: Investigation of ship cooling system operation for improving energy efficiency. J. Mar. Sci. Technol. 22(1), 38–50 (2016). https://doi.org/10.1007/s00773-016-0395-9
Kocak, G., Durmusoglu, Y.: Energy efficiency analysis of a ship’s central cooling system using variable speed pump. J. Marine Eng. Technol. https://doi.org/10.1080/20464177.2017.1283192
Pugh, S.J., Hewitt, G.F., Mϋller-Steinhagen, H.: Fouling during the use of seawater as coolant – the development of a `user guide. In: Engineering Conferences International. Published by ECI Digital Achieves (2003)
Ait Allal, A., Mansouri, K., Youssfi, M., Qbadou, M.: Task human reliability analysis for a safe operation of autonomous ship. In: 2nd International Conference on System Reliability and Safety, Conference proceeding, pp. 74–81 (2017)
Chun-Lien, S., Chung, W.-L., Kuen-Tyng, Y.: An energy-savings evaluation method for variable-frequency-drive applications on ship central cooling systems. IEEE Trans. Ind. Appl. 50(2), 1286–1294 (2014)
Elfazziki, A., Nejeoui, A., Sadgal, M.: Une Approche multi-agents pour la modélisation et l’optimisation des Systèmes de gestion de transport maritime. Revue d’Information Scientifique et Technique (RIST), 15(01–02) (2005)
Xiao, Z., Fu, X., Zhang, L., Ponnambalam, L., Goh, R.S.M.: Data-driven multi-agent system for maritime traffic safety management. In: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) (2017). https://doi.org/10.1109/itsc.2017.8317707
Mano, J.-P., Georgé, J.-P., Gleizes, M.-P.: Adaptive multi-agent system for multi-sensor maritime surveillance. In: Demazeau, Y., Dignum, F., Corchado, J.M., Pérez, J.B. (eds.) Advances in Practical Applications of Agents and Multiagent Systems: 8th International Conference on Practical Applications of Agents and Multiagent Systems (PAAMS 2010), pp. 285–290. Springer, Berlin, Heidelberg (2010). https://doi.org/10.1007/978-3-642-12384-9_34
Geoghegan, S.J., et al.: A multi-agent system architecture for cooperative maritime networks. In: 2009 3rd Annual IEEE Systems Conference. https://doi.org/10.1109/systems.2009.4815762
Lisong, X.Z.: Dynamic data driven multi-agent simulation in maritime traffic. In: 2009 International Conference on Computer and Automation Engineering (2009). https://doi.org/10.1109/iccae.2009.17
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Allal, A.A., Elgarej, M., Mansouri, K., Had, K.E. (2022). Seawater Central Cooling System Distributed Approach for a Safer Autonomous Ship. In: Kacprzyk, J., Balas, V.E., Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2020). AI2SD 2020. Advances in Intelligent Systems and Computing, vol 1417. Springer, Cham. https://doi.org/10.1007/978-3-030-90633-7_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-90633-7_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-90632-0
Online ISBN: 978-3-030-90633-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)