RESOURCES
Deliverables
Publications
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
RETROFIT SOLUTIONS TO ACHIEVE 55% GHG REDUCTION BY 2030
RETROFIT SOLUTIONS TO ACHIEVE 55% GHG REDUCTION BY 2030 Andrew Spiteri (LJMU)Vasilios Zagkas & Reuben D’Souza, SimFWD This article about the RETROFIT55 project featured
