Compressed Natural Gas Transport System
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CENERGY participates in the 2nd International conference on Modelling and Optimisation of Ship Energy Systems (MOSES2019) held in Glasgow

Cenergy participated in the 2nd International conference on Modelling and Optimisation of Ship Energy Systems (MOSES2019) held in Glasgow on 8-10 May 2019. MOSES conferences series provide an excellent opportunity to bring together scientists and professionals from industry, academia, government departments, private institutions, research institutions, being a forum for exchanging the most contemporary ideas, techniques, methods and experience in the area of ship energy systems including modelling, optimisation, control, maintenance, safety, autonomy, environmental friendliness and sustainability.

In the conference Cenergy introduced the GASVESSEL project followed by a presentation and the discussion focused on the beta version of the process simulation model being developed in the context of the GASVESSEL project that is presently being used to support the design and the operation of the gas loading and unloading system. The results show that using a software tool to analyse loading and unloading scenarios is an absolute necessity to properly asses the quantity of natural gas transportable, the loading and unloading time, and the optimization of the overall process to minimize energy consumption (and maximize the payload). It has been recalled that in the course of the GASVESSEL project the software tool will be further integrated with the energy analysis of the ship and its auxiliaries as a whole, to identify the best solution in terms of energy utilization and energy saving. The presentation at MOSES2019 was an opportunity to show the potential of the model in case it is used to assess the transport of hydrogen and compare the main differences between transporting CNG (or methane) and hydrogen. Other than optimizing the loading and unloading processes, and helping maximising their safety, the software tool gives critical information about the overall “costs” and “benefits”.

Figure 1. Use of the Simulation Model to Optimize the forced loading process

Figure 1. Use of the Simulation Model to Optimize the forced loading process

 

 

LOGO-EU-IMAGES
The project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 723030.