Dynamic simulation and control strategy of fuel gas supply system for LNG-fueled ships

Jinjin Xu; Hongbin Zhao; Min Lin; Natasha Kudzai Nongera; Ngonidzashe Stuart Tamayi

doi:10.1117/12.3030682

5 June 2024 Dynamic simulation and control strategy of fuel gas supply system for LNG-fueled ships

Jinjin Xu, Hongbin Zhao, Min Lin, Natasha Kudzai Nongera, Ngonidzashe Stuart Tamayi

Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 131631W (2024) https://doi.org/10.1117/12.3030682
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China

Abstract

In order to study the dynamic response of the Fuel Gas Supply System (FGSS) under complex operating conditions during ship navigation, this paper presents a low-pressure gas supply system designed to match the WinGD5RT-Flex50DF dualfuel engine. The dynamic model of FGSS is established using Aspen HYSYS software, with control strategies for system gas supply pressure, flow rate, and temperature. The dynamic response of FGSS under varying loads, emergency shutdown, emergency loading, and fuel conversion conditions is simulated. The results show that the designed control strategies can effectively and rapidly adjust the pump speed and flow rates of water-glycol (WG) and hot water, ensuring that the gas supply pressure, flow rate, and temperature meet the requirements of the engine and ship safety standards. The dynamic simulation results provide reference for the operation of LNG-fueled ships during actual navigation.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jinjin Xu, Hongbin Zhao, Min Lin, Natasha Kudzai Nongera, and Ngonidzashe Stuart Tamayi "Dynamic simulation and control strategy of fuel gas supply system for LNG-fueled ships", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 131631W (5 June 2024); https://doi.org/10.1117/12.3030682

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