TY - GEN
T1 - Sequential vessel speed optimization under dynamic weather conditions
AU - Basu, Debabrota
AU - Pedrielli, Giulia
AU - Chen, Weidong
AU - Hui Ng, Szu
AU - Hay Lee, Loo
AU - Bressan, Stéphane
PY - 2017
Y1 - 2017
N2 - The International Maritime Organization (IMO) identifies speed optimization as a key operational measure for achieving energy efficiency through reduced emissions. Ocean Liner services have fixed port rotations and schedules. While the speed can be optimized for emissions, the service level in terms of schedules arrival and departure need to be carefully considered not to loose market share. This already challenging problem is further complicated when dynamic weather conditions along the service route are considered. In fact, few contributions can be found that address this issue. We study the operational problem of dynamically determining a vessel's speed, departure time and arrival time at each port of call under dynamic weather conditions. We model the minimization of cost, namely bunkering costs and early and delayed departure and arrival penalties, using calculus of variations. The proposed algorithm leverages upon a discretization technique based on the Weierstrass-Erdmann condition. The numerical tests show the efficiency and effectiveness of this algorithm over standard techniques like IVP.
AB - The International Maritime Organization (IMO) identifies speed optimization as a key operational measure for achieving energy efficiency through reduced emissions. Ocean Liner services have fixed port rotations and schedules. While the speed can be optimized for emissions, the service level in terms of schedules arrival and departure need to be carefully considered not to loose market share. This already challenging problem is further complicated when dynamic weather conditions along the service route are considered. In fact, few contributions can be found that address this issue. We study the operational problem of dynamically determining a vessel's speed, departure time and arrival time at each port of call under dynamic weather conditions. We model the minimization of cost, namely bunkering costs and early and delayed departure and arrival penalties, using calculus of variations. The proposed algorithm leverages upon a discretization technique based on the Weierstrass-Erdmann condition. The numerical tests show the efficiency and effectiveness of this algorithm over standard techniques like IVP.
KW - Calculus of variations
KW - Vessel speed optimization
KW - Weierstrass-Erdmann condition
UR - http://www.scopus.com/inward/record.url?scp=85052295233&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052295233&partnerID=8YFLogxK
U2 - 10.3850/978-981-11-2722-9_MTEC020210
DO - 10.3850/978-981-11-2722-9_MTEC020210
M3 - Conference contribution
AN - SCOPUS:85052295233
T3 - Proceedings of the 5th International Maritime-Port Technology and Development Conference, MTEC 2017
SP - 431
EP - 449
BT - Proceedings of the 5th International Maritime-Port Technology and Development Conference, MTEC 2017
PB - Research Publishing Services
T2 - 5th International Maritime-Port Technology and Development Conference, MTEC 2017
Y2 - 26 April 2017 through 28 April 2017
ER -