AI-förbättrade energieffektivitetsåtgärder för optimal fartygsdrift för att minska utsläppen av växthusgaser
Forskningsprojekt, 2021
– 2024
Ship operation-related energy efficiency measures (EEMs) can help reach the IMO 2030 emission goals. However, today, their benefits have not been fully realized. Through the digital transformation in shipping, vast amounts of vessel data are being collected, enabling activation of AI-powered solutions to further improve vessel performance. Our purpose is to support the shipping industry to achieve greener ship operations. Our goal is to develop an operational support solution strengthened by AI on taking EEMs into account for enhanced energy efficiency.
Deltagare
Wengang Mao (kontakt)
Chalmers, Mekanik och maritima vetenskaper, Marin teknik
Xiao Lang
Chalmers, Mekanik och maritima vetenskaper, Marin teknik
Daniel Vergara
Chalmers, Mekanik och maritima vetenskaper, Marin teknik
Samarbetspartners
Det Norske Veritas (DNV)
Barendrecht, Netherlands
Molflow AB
Gråbo, Sweden
Yara Marine Technologies AB
Göteborg, Sweden
Finansiering
VINNOVA
Projekt-id: 2021-02768
Finansierar Chalmers deltagande under 2021–2024
Relaterade styrkeområden och infrastruktur
Informations- och kommunikationsteknik
Styrkeområden
Transport
Styrkeområden
Energi
Styrkeområden
Innovation och entreprenörskap
Drivkrafter