Ammonia: Decarbonizing the Future
A Case Study of Speed Optimization with Machine-Learning Models and Live-trial Validation
Monday, 18 October 7:00 pm (GR)
SNAME Greek Section is pleased to invite you
to its second webinar for the 2021-2022 season where
two promising young professionals
Undergraduate Student, University of West Attica
Fleet Performance Manager, GreenSteam
will make presentations on the topics of
“Ammonia: Decarbonizing the Future”
and“A Case Study of Speed Optimization with Machine-Learning Models and Live-trial Validation”
Regarding the SOx and NOx emissions, IMO imposes regulations which tend to limit emissions from ships and to lead to a decarbonized environment. The future of carbon-free society relies on the production of new alternative energy sources. The maritime sector is currently in a transitional period as it moves from diesel to other alternative energy sources. Ammonia, as an alternative fuel, can play a significant role in decarbonizing the world’s energy supply and is considered one of the most promising zero-carbon fuels. The first presentation aims to examine the pros and cons of ammonia utilisation, but also the life cycle of emissions.
The second presentation analyses the speed optimization mechanism and the potential benefits (financial, environmental, commercial) for ship-owners and charterers through a case study of a tanker vessel following speed optimization advice in real-time. A Machine Learning (ML) model of the ship is exploited by a speed optimization algorithm in order to achieve the highest possible accuracy in this complex computational problem. The actual voyage values are compared to the ML model predictions and, to the “classical” approach of semi-empirical (physical) modelling.
Registration will close on October 17, 2021.
A link to join the webinar will be emailed to you on October 18, 2021.
For registration-related enquiries please contact firstname.lastname@example.org