RESOURCES
Deliverables
Publications
CFD Modelling of Air Lubrication Systems in Ships
CFD Modelling of Air Lubrication Systems in Ships Roya Shademani1, Tommi Mikkola1, Teemu Manderbacka1, Sasan Tavakoli2, Heikki Remes11Department of Mechanical engineering, Aalto University 2 University
Status and future trends of electrification-based solutions for efficiency-oriented ship retrofitting
STATUS AND FUTURE TRENDS OF ELECTRIFICATION-BASED SOLUTIONS FOR EFFICIENCY-ORIENTED SHIP RETROFITTING Maria Carmela Di Piazza, Marcello Pucci, Alessandro Iafrati (Institute of Marine Engineering-National Research Council)
OPTIMIZATION OF AN AIR LUBRICATION SYSTEM FOR GEOMETRY & TOPOLOGY
OPTIMIZATION OF AN AIR LUBRICATION SYSTEM FOR GEOMETRY & TOPOLOGY Hannes Renzsch (FRIENDSHIP SYSTEMS)Andrew Spiteri, Eduardo Blanco-Davis (LJMU)Milad Armin (ENKI Marine)Alex Routledge (Armada Technologies) Presented
AI MODEL FOR THE PREDICTION OF SHIP MOTIONS AND FUEL CONSUMPTION OF A KAMSARMAX BULK CARRIER
AI MODEL FOR THE PREDICTION OF SHIP MOTIONS AND FUEL CONSUMPTION OF A KAMSARMAX BULK CARRIER Mingyang Zhang a, Pentti Kujala b, Spyros Hirdaris c, Nikolaos Tsoulakos d a Department
COMPARISON & EVALUATION OF LEARNING CAPABILITIES OF DEEP LEARNING METHODS FOR PREDICTING SHIP MOTIONS
COMPARISON & EVALUATION OF LEARNING CAPABILITIES OF DEEP LEARNING METHODS FOR PREDICTING SHIP MOTIONS Mingyang Zhang a, Cong Liu a, Pentti Kujala b, Spyros Hirdaris c a Department of Mechanical
AI-BASED SURROGATE MODELS FOR THE PREDICTION OF SHIP FUEL CONSUMPTION
AI-BASED SURROGATE MODELS FOR THE PREDICTION OF SHIP FUEL CONSUMPTION Mingyang Zhang a, Pentti Kujala b, Spyros Hirdaris c, Nikolaos Tsoulakos d a Department of Mechanical Engineering, Marine Technology
