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About Smart Maritime
What is a SFi?
WP 1 - Feasability studies
WP 2 - Hull and propeller optimization
WP 3 - Power systems and fuel
WP 4 - Ship system integration and validation
WP 5 - Environmental and economic due diligence
Sub Project 1 - Fuels
Sub Project 2 - Hybrid propulsion
Sub Project 3 - Simulation of long-term ship performance - Virtual testing phase 1
Sub Project 4 - Performance in a Seaway
Sub Project 5 - Smart Ship Vision
Sub Project 6 - Establishing Measurability of Ship Resistance
Sub Project 7 - Simulation-based concept design
Resources by Topics
WP1 Feasibility studies
WP2 Hull and propeller optimization
WP3 Power systems and fuel
WP4 Ship system integration and validation
WP5 Environmental and economic due diligence
SP2 Hybrid propulsion
SP3 Simulation of long-term ship performance - Virtual testing phase 1
SP4 Performance in a Seaway
SP5 Smart ship vision
SP6 Establishing Measurability of Ship Resistance
SP7 - Simulation-based concept design
Webinar 21 June 2017 - Presentations
Presentations from Webinar on LNG-fuelled vessels - 21 June 2017
Sulphur abatement options - Cost Factors
Article by Dr Elizabeth Lindstad in Bunkerspot June/July 2017
GHG and NOx emissions from gas fuelled engines - Dag Stenersen and Ole Thonstad
Mapping, verification, reduction Technologies.
Machine Learning based Data Handling Framework for Ship Energy Efficiency
Study by L.P. Perera and B. Mo published in IEEE Transactions on Vehicular Technology.
Multidisciplinary Process Integration and Design Optimization of a Hybrid Marine Power System Applied to a VLCC
Conference paper by Sabah Alwan, Kevin Koosup Yum, Sverre Steen and Eilif Pedersen for the Conference on Computer and IT Applications in the Maritime Industries
Smart Maritime Annual Report 2016
Smart Maritime Annual Report available for download.
State-of-the-art technologies, measures, and potential for reducing GHG emissions from shipping – A review
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 - Prasad Perera
This study proposes marine engine centered data analytics as a part of the ship energy efficiency management plan (SEEMP). The SEEMP enforces various emission control measures to improve ship energy efficiency by considering vessel performance and navigation data.
Development of Data Analytics in Shipping - Prasad Perera
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.
Networkmeeting 15 - 16 March 2017 - Presentations and information
Venue: Ålesund, NMK – Norsk Maritimt Kompetansesenter . This first Network meeting of 2017 aims at giving our industry partners an update on long-term research activity, time for networking and brainstorming on opportunities and challenges for the industry, and workshops on ongoing project activity.