Abstract
| Language | English |
|---|---|
| Pages | 845-865 |
| Number of pages | 21 |
| Journal | Maritime Policy & Management |
| Volume | 46 |
| Issue number | 7 |
| Early online date | 27 Jun 2019 |
| DOIs | |
| Publication status | E-pub ahead of print - 27 Jun 2019 |
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Keywords
- integrated marine transport system
- shipping energy efficiency management
- Bayesian belief networks
- dry bulk shipping
- ship-port interface
Cite this
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An application of BBNs on the integrated energy efficiency of ship–port interface : a dry bulk shipping case. / Canbulat, Onder; Aymelek, Murat; Turan, Osman; Boulougouris, Evangelos.
In: Maritime Policy & Management , Vol. 46, No. 7, 27.06.2019, p. 845-865.Research output: Contribution to journal › Article
TY - JOUR
T1 - An application of BBNs on the integrated energy efficiency of ship–port interface
T2 - Maritime Policy and Management
AU - Canbulat, Onder
AU - Aymelek, Murat
AU - Turan, Osman
AU - Boulougouris, Evangelos
PY - 2019/6/27
Y1 - 2019/6/27
N2 - A considerable amount of energy is consumed with every completed ship voyage and each port operation performed. Recent regulative approaches by the IMO are to enforce the shipping industry to become more energy efficient and sustainable. There is a growing amount of literature on the energy efficiency management of ships and ports. However, there is still inadequate research effort on the ship–port interface in order to obtain an Integrated Energy Efficiency framework for marine transport operations. In this research, a theoretical concept is generated to measure holistic energy efficiency in shipping operations. The main purpose of this paper is to identify nodes of the integrated ship-port energy efficiency framework and develop a probabilistic approach, which can help to increase energy efficiency and reduce CO2 emissions for shipping companies. This research generates an application of BBNs on ship–port interface regarding the integrated operational energy efficiency interactions by aiming to optimise holistic operational energy efficiency and CO2 emissions. The outcomes suggest that it would be possible to increase the probability of a more energy efficient and sustainable marine transport operation by integrating the influences of port and ship operation performances and their elements on the related route planning and slow steaming decision-making.
AB - A considerable amount of energy is consumed with every completed ship voyage and each port operation performed. Recent regulative approaches by the IMO are to enforce the shipping industry to become more energy efficient and sustainable. There is a growing amount of literature on the energy efficiency management of ships and ports. However, there is still inadequate research effort on the ship–port interface in order to obtain an Integrated Energy Efficiency framework for marine transport operations. In this research, a theoretical concept is generated to measure holistic energy efficiency in shipping operations. The main purpose of this paper is to identify nodes of the integrated ship-port energy efficiency framework and develop a probabilistic approach, which can help to increase energy efficiency and reduce CO2 emissions for shipping companies. This research generates an application of BBNs on ship–port interface regarding the integrated operational energy efficiency interactions by aiming to optimise holistic operational energy efficiency and CO2 emissions. The outcomes suggest that it would be possible to increase the probability of a more energy efficient and sustainable marine transport operation by integrating the influences of port and ship operation performances and their elements on the related route planning and slow steaming decision-making.
KW - integrated marine transport system
KW - shipping energy efficiency management
KW - Bayesian belief networks
KW - dry bulk shipping
KW - ship-port interface
U2 - 10.1080/03088839.2019.1634844
DO - 10.1080/03088839.2019.1634844
M3 - Article
VL - 46
SP - 845
EP - 865
JO - Maritime Policy and Management
JF - Maritime Policy and Management
SN - 0308-8839
IS - 7
ER -