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Stochastic bivariate time series models of waves in the North Sea and their application in simulation-based design
Published in documentation → publications → journal-papers
Article by Sandvik et al. in Ocean Applied Research, November 2018

Stochastic bivariate time series models of waves in the North Sea and their application in simulation-based design
Published: 14.11.2018
1 document
Published in documentation → publications → journal-papers
Author(s): Endre Sandvik, Ole J.J. Lønnum, Bjørn Egil Asbjørnslett ​
Categories: SP3 Simulation of long-term ship performance - Virtual testing phase 1, SP7 - Simulation-based concept design, WP4 Ship system integration and validation
Article by Sandvik et al. in Ocean Applied Research, November 2018

A simulation-based ship design methodology for evaluating susceptibility to weather-induced delays during marine operations
Published: 18.06.2018
1 document
Published in documentation → publications → journal-papers
Author(s): Endre Sandvik, Martin Gutsch, Bjørn Egil Asbjørnslett
Categories: SP3 Simulation of long-term ship performance - Virtual testing phase 1, SP7 - Simulation-based concept design, WP4 Ship system integration and validation
Article by Sandvik et al. in Ship Technology Research, May 2018

Potential power setups, fuels and hull designs capable of satisfying future EEDI requirements
Published: 01.06.2018
1 document
Published in documentation → publications → journal-papers
Author(s): Elizabeth Lindstad, Torstein Ingebrigtsen Bø
Categories: SP2 Hybrid propulsion, Workpackages, WP1 Feasibility studies, WP3 Power systems and fuel
Publication by Elizabeth Lindstad and Torstein Ingebrigtsen Bø in Transportation Research Part D.

Control of the combustion process and emission formation in marine gas engines
Published: 19.05.2018
1 document
Published in documentation → publications → journal-papers
Author(s): Krivopolianskii, Vladimir; Valberg, Ingebrigt; Stenersen, Dag; Ushakov, Sergey; Æsøy, Vilmar
Article by Krivopolianski et al. in Journal of Marine Science and Technology

Sulphur Abatement Globally in Maritime Shipping
Published: 25.09.2017
1 document
Published in documentation → publications → journal-papers
Author(s): H-Elizabeth Lindstad, Carl Fredrik, Rehn, Gunnar S. Eskeland
Categories: Workpackages, WP1 Feasibility studies
Publication by H. Elizabeth Lindstad (SINTEFOcean AS), Carl Fredrik Rehn, NTNU, and Gunnar S. Eskeland (NHH and SNF), accepted for publication in Transportation Research Part D.

Machine Learning based Data Handling Framework for Ship Energy Efficiency
Published: 06.06.2017
1 document
Published in documentation → publications → journal-papers
Author(s): L.P. Perera, B. Mo
Categories: SP4 Performance in a Seaway, WP4 Ship system integration and validation
Study by L.P. Perera and B. Mo published in IEEE Transactions on Vehicular Technology.

State-of-the-art technologies, measures, and potential for reducing GHG emissions from shipping – A review
Published: 20.12.2016
1 document
Published in documentation → publications → journal-papers
Author(s): Evert A. Bouman, Haakon E. Lindstad, Agathe Rialland, Anders H. Strømman
Categories: WP1 Feasibility studies, WP5 Environmental and economic due diligence
Review article by Bouman et al. of GHG reduction measures and their potential in shipping published in Transportation Research Part D: Transport and Environment.

Marine Engine-Centered Data Analytics for Ship Performance Monitoring
Published: 31.01.2017
1 document
Published in documentation → publications → journal-papers
Author(s): Prasad Perera, Brage Mo
Categories: SP4 Performance in a Seaway, WP2 Hull and propeller optimization, WP4 Ship system integration and validation
Article by Lokukaluge Prasad Perera and Brage Mo

Development of Data Analytics in Shipping - Prasad Perera
Published: 31.01.2017
1 document
Published in documentation → publications → journal-papers
Author(s): Prasad Perera, Brage Mo
Categories: SP4 Performance in a Seaway, WP2 Hull and propeller optimization, WP4 Ship system integration and validation
Modern vessels are monitored by Onboard Internet of Things (IoT), sensors and data acquisition (DAQ), to observe ship performance and navigation conditions. Such IoT may create various shipping industrial challenges under large-scale data handling situations. These large-scale data handling issues are often categorized as “Big Data” challenges and this chapter discusses various solutions to overcome such challenges.