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Dynamic modelling of ammonia crackers and hydrogen pem fuel cells for shipping applications

Dynamic modelling of ammonia crackers and hydrogen pem fuel cells for shipping applications
Dynamic modelling of ammonia crackers and hydrogen pem fuel cells for shipping applications
The pathway towards sustainable maritime propulsion is unclear. One concept is using ammonia as a fuel. This study investigated using an ammonia cracker (a device to convert ammonia to hydrogen) and a Proton Exchange Membrane fuel cell. This requires a hydrogen buffer tank and purification, each process has been dynamically modelled. Simulations show the power demand for different vessel types (cargo and survey) for several routes. This enabled analysis of ammonia demand and system requirements during: in port; manoeuvring; cruising; surveying. The same simulations ran for other potential setups to facilitate a fair comparison of the technical challenges, storage requirements, and support system requirements (e.g. batteries). Results showed that the total system plus fuel for this concept for a case study cargo voyage would weigh 150 tonnes and require 586 m3 of volume. For comparison, a liquid hydrogen system for the same voyage weighed 35 tonnes and required 222 m3 .
dynamic modelling, ammonia crackers, shipping applications
McKinlay, Charlie
70c883f4-2e6c-4790-a120-ee6caf41cb57
Manias, Panagiotis
e550032b-d811-4f3c-b4da-4f5e542aa8ad
Turnock, Stephen
d6442f5c-d9af-4fdb-8406-7c79a92b26ce
Hudson, Dominic
3814e08b-1993-4e78-b5a4-2598c40af8e7
McKinlay, Charlie
70c883f4-2e6c-4790-a120-ee6caf41cb57
Manias, Panagiotis
e550032b-d811-4f3c-b4da-4f5e542aa8ad
Turnock, Stephen
d6442f5c-d9af-4fdb-8406-7c79a92b26ce
Hudson, Dominic
3814e08b-1993-4e78-b5a4-2598c40af8e7

McKinlay, Charlie, Manias, Panagiotis, Turnock, Stephen and Hudson, Dominic (2022) Dynamic modelling of ammonia crackers and hydrogen pem fuel cells for shipping applications. In International Conference on Computer Applications in Shipbuilding 13th-15th of September 2022, Yokohama, Japan. 14 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

The pathway towards sustainable maritime propulsion is unclear. One concept is using ammonia as a fuel. This study investigated using an ammonia cracker (a device to convert ammonia to hydrogen) and a Proton Exchange Membrane fuel cell. This requires a hydrogen buffer tank and purification, each process has been dynamically modelled. Simulations show the power demand for different vessel types (cargo and survey) for several routes. This enabled analysis of ammonia demand and system requirements during: in port; manoeuvring; cruising; surveying. The same simulations ran for other potential setups to facilitate a fair comparison of the technical challenges, storage requirements, and support system requirements (e.g. batteries). Results showed that the total system plus fuel for this concept for a case study cargo voyage would weigh 150 tonnes and require 586 m3 of volume. For comparison, a liquid hydrogen system for the same voyage weighed 35 tonnes and required 222 m3 .

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Dynamic modelling of ammonia crackers and hydrogen PEM fuel cells for shipping applications - Accepted Manuscript
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More information

Accepted/In Press date: 1 August 2022
e-pub ahead of print date: 13 September 2022
Published date: 13 September 2022
Venue - Dates: 20th International Conference on Computer Applications in Shipbuilding, , Yokohama, Japan, 2022-09-13 - 2022-09-15
Keywords: dynamic modelling, ammonia crackers, shipping applications

Identifiers

Local EPrints ID: 471167
URI: http://eprints.soton.ac.uk/id/eprint/471167
PURE UUID: 61ce2374-1712-40ee-9376-38ef63aa988f
ORCID for Charlie McKinlay: ORCID iD orcid.org/0000-0002-8345-0271
ORCID for Stephen Turnock: ORCID iD orcid.org/0000-0001-6288-0400
ORCID for Dominic Hudson: ORCID iD orcid.org/0000-0002-2012-6255

Catalogue record

Date deposited: 28 Oct 2022 17:19
Last modified: 17 Mar 2024 02:41

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Contributors

Author: Charlie McKinlay ORCID iD
Author: Panagiotis Manias
Author: Stephen Turnock ORCID iD
Author: Dominic Hudson ORCID iD

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