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An agent-based simulator for maritime transport decarbonisation: Demonstration track

An agent-based simulator for maritime transport decarbonisation: Demonstration track
An agent-based simulator for maritime transport decarbonisation: Demonstration track
Greenhouse gas (GHG) emission reduction is an important and necessary goal; currently, different policies to reduce GHG emissions in maritime transport are being discussed. Amongst policies, like carbon taxes or carbon intensity targets, it is hard to determine which policies can successfully reduce GHG emissions while allowing the industry to be profitable. We introduce an agent-based maritime transport simulator to investigate the effectiveness of two decarbonisation policies by simulating a maritime transport operator’s trade pattern and fleet make-up changes as a reaction to taxation and fixed targets. This first of its kind simulator allows to compare and quantify the difference of carbon reduction policies and how they affect shipping operations.
Agent-Based Modelling and Simulation: Applications & Analysis, Emergent Behaviour, Simulation Techniques, Tools and Platforms, Integration of Agent-Based and Other Technologies
Buermann, Jan
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Georgiev, Dimitar
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Gerding, Enrico
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Hill, Lewis
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Malik, Obaid
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Pop, Alexandru
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Pun, Matthew
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Ramchurn, Sarvapali
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Salisbury, Elliot
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Stojanovic, Ivan
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Buermann, Jan
46ae30cc-34e3-4a39-8b11-4cbb413e615f
Georgiev, Dimitar
b6493976-99d9-4e3f-88d0-84655cc326ab
Gerding, Enrico
d9e92ee5-1a8c-4467-a689-8363e7743362
Hill, Lewis
9c3a1369-303a-4be4-9bd8-ddbd34d46368
Malik, Obaid
16899d3c-005e-48f1-b7c0-8040449de79e
Pop, Alexandru
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Pun, Matthew
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Ramchurn, Sarvapali
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Salisbury, Elliot
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Stojanovic, Ivan
18c7f58d-d849-48c6-b194-7f92e953e509

Buermann, Jan, Georgiev, Dimitar, Gerding, Enrico, Hill, Lewis, Malik, Obaid, Pop, Alexandru, Pun, Matthew, Ramchurn, Sarvapali, Salisbury, Elliot and Stojanovic, Ivan (2022) An agent-based simulator for maritime transport decarbonisation: Demonstration track. 21st International Conference on Autonomous Agents and Multiagent Systems, Online. 09 - 13 May 2022. 3 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

Greenhouse gas (GHG) emission reduction is an important and necessary goal; currently, different policies to reduce GHG emissions in maritime transport are being discussed. Amongst policies, like carbon taxes or carbon intensity targets, it is hard to determine which policies can successfully reduce GHG emissions while allowing the industry to be profitable. We introduce an agent-based maritime transport simulator to investigate the effectiveness of two decarbonisation policies by simulating a maritime transport operator’s trade pattern and fleet make-up changes as a reaction to taxation and fixed targets. This first of its kind simulator allows to compare and quantify the difference of carbon reduction policies and how they affect shipping operations.

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More information

Accepted/In Press date: 1 March 2022
Published date: 9 May 2022
Venue - Dates: 21st International Conference on Autonomous Agents and Multiagent Systems, Online, 2022-05-09 - 2022-05-13
Keywords: Agent-Based Modelling and Simulation: Applications & Analysis, Emergent Behaviour, Simulation Techniques, Tools and Platforms, Integration of Agent-Based and Other Technologies

Identifiers

Local EPrints ID: 456716
URI: http://eprints.soton.ac.uk/id/eprint/456716
PURE UUID: af25fc43-252a-46a6-8fea-b59b0a16305d
ORCID for Jan Buermann: ORCID iD orcid.org/0000-0002-4981-6137
ORCID for Enrico Gerding: ORCID iD orcid.org/0000-0001-7200-552X
ORCID for Obaid Malik: ORCID iD orcid.org/0000-0001-9014-2675
ORCID for Sarvapali Ramchurn: ORCID iD orcid.org/0000-0001-9686-4302

Catalogue record

Date deposited: 10 May 2022 16:36
Last modified: 11 May 2022 02:01

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Contributors

Author: Jan Buermann ORCID iD
Author: Dimitar Georgiev
Author: Enrico Gerding ORCID iD
Author: Lewis Hill
Author: Obaid Malik ORCID iD
Author: Alexandru Pop
Author: Matthew Pun
Author: Sarvapali Ramchurn ORCID iD
Author: Elliot Salisbury
Author: Ivan Stojanovic

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