Automated System for Fleet Benchmarking and Assessment of Technical Condition
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 p...
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Online Access: | http://hdl.handle.net/11250/2467033 https://doi.org/10.1115/OMAE2017-61219 |
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ftsintef:oai:sintef.brage.unit.no:11250/2467033 2023-05-15T14:24:27+02:00 Automated System for Fleet Benchmarking and Assessment of Technical Condition Mo, Brage Steinebach, Christian Perera, Lokukaluge Prasad Dehli, Petter Lim, Tow Foong 2017-06-25 application/pdf http://hdl.handle.net/11250/2467033 https://doi.org/10.1115/OMAE2017-61219 eng eng ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering - Volume 7A: Ocean Engineering ASME Proceedings %7C Ocean Engineering;OMAE2017-61219 urn:isbn:978-0-7918-5773-1 http://hdl.handle.net/11250/2467033 https://doi.org/10.1115/OMAE2017-61219 cristin:1515200 Copyright © 2017 by ASME Machinery Maintenance Fuels Engines Stress Equipment performance Energy / power systems Energy generation Instrumentation Diesel engines Chapter 2017 ftsintef https://doi.org/10.1115/OMAE2017-61219 2021-08-04T11:59:21Z 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. acceptedVersion Book Part Arctic SINTEF Open (Brage) Volume 7A: Ocean Engineering |
institution |
Open Polar |
collection |
SINTEF Open (Brage) |
op_collection_id |
ftsintef |
language |
English |
topic |
Machinery Maintenance Fuels Engines Stress Equipment performance Energy / power systems Energy generation Instrumentation Diesel engines |
spellingShingle |
Machinery Maintenance Fuels Engines Stress Equipment performance Energy / power systems Energy generation Instrumentation Diesel engines Mo, Brage Steinebach, Christian Perera, Lokukaluge Prasad Dehli, Petter Lim, Tow Foong Automated System for Fleet Benchmarking and Assessment of Technical Condition |
topic_facet |
Machinery Maintenance Fuels Engines Stress Equipment performance Energy / power systems Energy generation Instrumentation Diesel engines |
description |
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. acceptedVersion |
format |
Book Part |
author |
Mo, Brage Steinebach, Christian Perera, Lokukaluge Prasad Dehli, Petter Lim, Tow Foong |
author_facet |
Mo, Brage Steinebach, Christian Perera, Lokukaluge Prasad Dehli, Petter Lim, Tow Foong |
author_sort |
Mo, Brage |
title |
Automated System for Fleet Benchmarking and Assessment of Technical Condition |
title_short |
Automated System for Fleet Benchmarking and Assessment of Technical Condition |
title_full |
Automated System for Fleet Benchmarking and Assessment of Technical Condition |
title_fullStr |
Automated System for Fleet Benchmarking and Assessment of Technical Condition |
title_full_unstemmed |
Automated System for Fleet Benchmarking and Assessment of Technical Condition |
title_sort |
automated system for fleet benchmarking and assessment of technical condition |
publishDate |
2017 |
url |
http://hdl.handle.net/11250/2467033 https://doi.org/10.1115/OMAE2017-61219 |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering - Volume 7A: Ocean Engineering ASME Proceedings %7C Ocean Engineering;OMAE2017-61219 urn:isbn:978-0-7918-5773-1 http://hdl.handle.net/11250/2467033 https://doi.org/10.1115/OMAE2017-61219 cristin:1515200 |
op_rights |
Copyright © 2017 by ASME |
op_doi |
https://doi.org/10.1115/OMAE2017-61219 |
container_title |
Volume 7A: Ocean Engineering |
_version_ |
1766296862202003456 |