LAPSE:2023.12982
Published Article

LAPSE:2023.12982
AIS-Based Estimation of Hydrogen Demand and Self-Sufficient Fuel Supply Systems for RoPax Ferries
February 28, 2023
Abstract
The International Maritime Organization (IMO) established new strategies that could lead to a significant reduction in the carbon footprint of the shipping sector to address global warming. A major factor in achieving this goal is transitioning to renewable fuels. This implies a challenge, as not only ship-innovative solutions but also a complete low-carbon fuel supply chain must be implemented. This work provides a method enabling the exploration of the potential of low-carbon fuel technologies for specific shipping routes up to larger sea regions. Several aspects including vessel sizes, impact of weather and shipping routes, emissions savings and costs are considered. The local energy use is determined with proven bottom-up prediction methods based on ship positioning data from the Automatic Identification System (AIS) in combination with weather and ship technical data. This methodology was extended by an approach to the generation of a basic low-carbon fuel system topology that enables the consideration of local demand profiles. The applicability of the proposed approach is discussed at hand via a case study on Roll-on/Roll-off passenger and cargo (RoPax) ferries transitioning from conventional fuels to a compressed hydrogen fuel system. The results indicate a potential reduction in emissions by up to 95% and possible system sizes and costs.
The International Maritime Organization (IMO) established new strategies that could lead to a significant reduction in the carbon footprint of the shipping sector to address global warming. A major factor in achieving this goal is transitioning to renewable fuels. This implies a challenge, as not only ship-innovative solutions but also a complete low-carbon fuel supply chain must be implemented. This work provides a method enabling the exploration of the potential of low-carbon fuel technologies for specific shipping routes up to larger sea regions. Several aspects including vessel sizes, impact of weather and shipping routes, emissions savings and costs are considered. The local energy use is determined with proven bottom-up prediction methods based on ship positioning data from the Automatic Identification System (AIS) in combination with weather and ship technical data. This methodology was extended by an approach to the generation of a basic low-carbon fuel system topology that enables the consideration of local demand profiles. The applicability of the proposed approach is discussed at hand via a case study on Roll-on/Roll-off passenger and cargo (RoPax) ferries transitioning from conventional fuels to a compressed hydrogen fuel system. The results indicate a potential reduction in emissions by up to 95% and possible system sizes and costs.
Record ID
Keywords
alternative marine fuels, emissions reduction, hydrogen technologies, ship energy use estimation
Subject
Suggested Citation
Fitz AC, Gómez Trillos JC, Sill Torres F. AIS-Based Estimation of Hydrogen Demand and Self-Sufficient Fuel Supply Systems for RoPax Ferries. (2023). LAPSE:2023.12982
Author Affiliations
Fitz AC: German Aerospace Centre, Institute of Maritime Energy Systems, Max-Planck-Straße 2, 21502 Geesthacht, Germany [ORCID]
Gómez Trillos JC: German Aerospace Centre, Institute of Networked Energy Systems, Carl-von-Ossietzky-Straße 15, 26129 Oldenburg, Germany [ORCID]
Sill Torres F: German Aerospace Centre, Institute for the Protection of Maritime Infrastructures, Fischkai 1, 27572 Bremerhaven, Germany [ORCID]
Gómez Trillos JC: German Aerospace Centre, Institute of Networked Energy Systems, Carl-von-Ossietzky-Straße 15, 26129 Oldenburg, Germany [ORCID]
Sill Torres F: German Aerospace Centre, Institute for the Protection of Maritime Infrastructures, Fischkai 1, 27572 Bremerhaven, Germany [ORCID]
Journal Name
Energies
Volume
15
Issue
10
First Page
3482
Year
2022
Publication Date
2022-05-10
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15103482, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.12982
This Record
External Link

https://doi.org/10.3390/en15103482
Publisher Version
Download
Meta
Record Statistics
Record Views
196
Version History
[v1] (Original Submission)
Feb 28, 2023
Verified by curator on
Feb 28, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.12982
Record Owner
Auto Uploader for LAPSE
Links to Related Works
