On-board Energy systems in vessels have to use fuel efficiently to maintain ship speed at lowest possible costs. This paper describes how to use ship operational data to improve and maintain efficiency of the vessel’s power production with respect to the condition and performance of equipment. The paper describes an overview of an automated Technical Operations Performance (TOP) Monitoring service. TOP monitors the performance of marine main and auxiliary diesel engines by use of the information collected onboard vessels at regular intervals. Performance data are stored in xml-reports sent as email attachments from ship to shore. This communication is reliable and cost efficient for merchant ships that are on-line only for shorter periods. Load, ISO and environmental corrections make results valid for benchmarking and trending. The service aggregates the hierarchical information obtained from different sources by transferring measurement readings into unified indicators, the Technical Condition Index (TCI) [1]. Experts manually check the automatically generated performance reports and add additional guidance on options to improve power production and machinery conditions analyzing the available data with respect to different targets, such as low engine degradation and high fuel efficiency. The performance reports then influence business processes indicating possible causes for loss of performance in equipment and possible erroneous instrumentation, and the need for maintenance actions. The obtained TCI values show the performance of individual units, or for a fleet/class of equipment and vessels.
Skip Nav Destination
ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering
June 25–30, 2017
Trondheim, Norway
Conference Sponsors:
- Ocean, Offshore and Arctic Engineering Division
ISBN:
978-0-7918-5773-1
PROCEEDINGS PAPER
Automated System for Fleet Benchmarking and Assessment of Technical Condition
Petter Dehli,
Petter Dehli
Veritas Petroleum Services, Oslo, Norway
Search for other works by this author on:
Christian Steinebach,
Christian Steinebach
SINTEF Ocean, Trondheim, Norway
Search for other works by this author on:
Tow Foong Lim,
Tow Foong Lim
Veritas Petroleum Services, Singapore, Singapore
Search for other works by this author on:
Lokukaluge P. Perera
Lokukaluge P. Perera
SINTEF Ocean, Trondheim, Norway
Search for other works by this author on:
Brage Mo
SINTEF Ocean, Trondheim, Norway
Petter Dehli
Veritas Petroleum Services, Oslo, Norway
Christian Steinebach
SINTEF Ocean, Trondheim, Norway
Tow Foong Lim
Veritas Petroleum Services, Singapore, Singapore
Lokukaluge P. Perera
SINTEF Ocean, Trondheim, Norway
Paper No:
OMAE2017-61219, V07AT06A007; 10 pages
Published Online:
September 25, 2017
Citation
Mo, B, Dehli, P, Steinebach, C, Lim, TF, & Perera, LP. "Automated System for Fleet Benchmarking and Assessment of Technical Condition." Proceedings of the ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. Volume 7A: Ocean Engineering. Trondheim, Norway. June 25–30, 2017. V07AT06A007. ASME. https://doi.org/10.1115/OMAE2017-61219
Download citation file:
19
Views
Related Proceedings Papers
Related Articles
Fuel-Saving Warship Drives
Mechanical Engineering (August,1998)
Fuel Cells as an Alternative to Cold Ironing
J. Fuel Cell Sci. Technol (August,2009)
Design Concept and Development of a Heavy-Duty Truck Diesel Engine for Better Fuel Economy
J. Eng. Power (July,1983)
Related Chapters
Outlook
Closed-Cycle Gas Turbines: Operating Experience and Future Potential
Expert Systems in Condition Monitoring
Tribology of Mechanical Systems: A Guide to Present and Future Technologies
ASME Section III Division 4 Fusion Energy Devices Code Rules
Companion Guide to the ASME Boiler & Pressure Vessel Codes, Volume 2, Sixth Edition