TY - GEN
T1 - An AIS-based framework for real time monitoring of vessels efficiency
AU - Chi, H.
AU - Pedrielli, G.
AU - Kister, T.
AU - Ng, S. H.
AU - Bressan, S.
N1 - Funding Information:
ACKNOWLEDGMENT This research was funded by the Singapore Maritime Institute, the National University of Singapore Neptune Oriental Lines Fellowship and the National Research Foundation of Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme.
Publisher Copyright:
© 2015 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2016/1/18
Y1 - 2016/1/18
N2 - Maritime transport is one of the most energy efficient and one of the lowest CO2 emitting modes of transport. Nonetheless, the industry's carbon footprint is significant. Stakeholders recognize the need for continuing efforts to curb CO2 emissions. Such efforts require the ability to measure individual vessels' energy efficiency. To this end, several energy efficiency metrics/indices have been developed for tracking real time CO2 emissions by marine vessels. We propose a new methodology to calculate and monitor individual vessel's energy efficiency and carbon emissions in real time through the Real-Time Energy Efficiency Operating Index (RT-EEOI).We demonstrate the practicality of the proposed methodology by presenting a software architecture implementing it. Specifically, by combining a vessel database with live data from the Automated Identification System (AIS), we calculate the RTEEOI index. The system has been deployed to monitor traffic in the Southwest part of the port and strait of Singapore. We propose an example of implementation of the proposed framework in the Singapore waters to show how it can be deployed in the scenario of real time efficiency tracking.
AB - Maritime transport is one of the most energy efficient and one of the lowest CO2 emitting modes of transport. Nonetheless, the industry's carbon footprint is significant. Stakeholders recognize the need for continuing efforts to curb CO2 emissions. Such efforts require the ability to measure individual vessels' energy efficiency. To this end, several energy efficiency metrics/indices have been developed for tracking real time CO2 emissions by marine vessels. We propose a new methodology to calculate and monitor individual vessel's energy efficiency and carbon emissions in real time through the Real-Time Energy Efficiency Operating Index (RT-EEOI).We demonstrate the practicality of the proposed methodology by presenting a software architecture implementing it. Specifically, by combining a vessel database with live data from the Automated Identification System (AIS), we calculate the RTEEOI index. The system has been deployed to monitor traffic in the Southwest part of the port and strait of Singapore. We propose an example of implementation of the proposed framework in the Singapore waters to show how it can be deployed in the scenario of real time efficiency tracking.
KW - Singapore Strait
KW - emissions
KW - energy efficiency operating index
KW - real time monitoring
UR - http://www.scopus.com/inward/record.url?scp=84962023389&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962023389&partnerID=8YFLogxK
U2 - 10.1109/IEEM.2015.7385841
DO - 10.1109/IEEM.2015.7385841
M3 - Conference contribution
AN - SCOPUS:84962023389
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 1218
EP - 1222
BT - IEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management
PB - IEEE Computer Society
T2 - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015
Y2 - 6 December 2015 through 9 December 2015
ER -