A Bayesian belief network model for integrated energy efficiency of shipping

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Climate change is one of the major problems in today’s world and shipping has a direct influence on climate change by the amount of energy consumed and volume of emission generated during shipping and port operations. Energy efficiency and port operation relationship have been widely mentioned in the existing literature under the term of energy efficiency management. However, there is still a need for detailed research on the ship-port interface development regarding holistic energy efficiency. The complex logistic processes should comprise with port performance to avoid the inevitable delays and to obtain a more energy efficient transport system. Therefore, ports and fleet can be managed together within a conceptual communication framework. The primary purpose of this research is to enhance the scientific understanding of port and ship operation inter-operability based on energy efficiency interactions. A theoretical framework is developed to investigate how ports and ships could work together to reduce energy consumption and CO2 emissions. The integrated shipping system is analysed to create a unique Bayesian Belief Network (BBN) model aiming to support the operational optimisation of the ship and port interface. In this research, the BBN theory is applied to an oil tanker case study in order to examine the energy efficiency of the voyages between two ports. The study aims to provide a guide to the holistic energy efficiency of the oil/product tanker shipping operations.
LanguageEnglish
Title of host publicationTrends and Challenges in Maritime Energy Management
EditorsAykut Olcer, Momoko Kitada, Dimitrios Dalaklis, Fabio Ballini
Place of PublicationCham, Switzerland
Pages257-273
Number of pages17
DOIs
StatePublished - 5 Jun 2018

Publication series

NameWMU Studies in Maritime Affairs
PublisherSpringer International Publishing
Volume6
ISSN (Print)2196-8772

Fingerprint

Bayesian networks
Freight transportation
Energy efficiency
Ships
Climate change
Oil tankers
Circuit theory
Interoperability
Logistics
Energy utilization
Communication

Keywords

  • integrated shipping system
  • energy efficiency
  • Bayesian networks
  • tanker shipping
  • ship-port interface

Cite this

Canbulat, O., Aymelek, M., Turan, O., & Boulougouris, E. (2018). A Bayesian belief network model for integrated energy efficiency of shipping. In A. Olcer, M. Kitada, D. Dalaklis, & F. Ballini (Eds.), Trends and Challenges in Maritime Energy Management (pp. 257-273). (WMU Studies in Maritime Affairs; Vol. 6). Cham, Switzerland. DOI: 10.1007/978-3-319-74576-3_19
Canbulat, Onder ; Aymelek, Murat ; Turan, Osman ; Boulougouris, Evangelos. / A Bayesian belief network model for integrated energy efficiency of shipping. Trends and Challenges in Maritime Energy Management. editor / Aykut Olcer ; Momoko Kitada ; Dimitrios Dalaklis ; Fabio Ballini. Cham, Switzerland, 2018. pp. 257-273 (WMU Studies in Maritime Affairs).
@inbook{d57e36b52faf45d1b9cef272a71559b4,
title = "A Bayesian belief network model for integrated energy efficiency of shipping",
abstract = "Climate change is one of the major problems in today’s world and shipping has a direct influence on climate change by the amount of energy consumed and volume of emission generated during shipping and port operations. Energy efficiency and port operation relationship have been widely mentioned in the existing literature under the term of energy efficiency management. However, there is still a need for detailed research on the ship-port interface development regarding holistic energy efficiency. The complex logistic processes should comprise with port performance to avoid the inevitable delays and to obtain a more energy efficient transport system. Therefore, ports and fleet can be managed together within a conceptual communication framework. The primary purpose of this research is to enhance the scientific understanding of port and ship operation inter-operability based on energy efficiency interactions. A theoretical framework is developed to investigate how ports and ships could work together to reduce energy consumption and CO2 emissions. The integrated shipping system is analysed to create a unique Bayesian Belief Network (BBN) model aiming to support the operational optimisation of the ship and port interface. In this research, the BBN theory is applied to an oil tanker case study in order to examine the energy efficiency of the voyages between two ports. The study aims to provide a guide to the holistic energy efficiency of the oil/product tanker shipping operations.",
keywords = "integrated shipping system , energy efficiency , Bayesian networks , tanker shipping, ship-port interface",
author = "Onder Canbulat and Murat Aymelek and Osman Turan and Evangelos Boulougouris",
year = "2018",
month = "6",
day = "5",
doi = "10.1007/978-3-319-74576-3_19",
language = "English",
isbn = "978-3-319-74575-6",
series = "WMU Studies in Maritime Affairs",
publisher = "Springer International Publishing",
pages = "257--273",
editor = "Aykut Olcer and Momoko Kitada and Dimitrios Dalaklis and Fabio Ballini",
booktitle = "Trends and Challenges in Maritime Energy Management",

}

Canbulat, O, Aymelek, M, Turan, O & Boulougouris, E 2018, A Bayesian belief network model for integrated energy efficiency of shipping. in A Olcer, M Kitada, D Dalaklis & F Ballini (eds), Trends and Challenges in Maritime Energy Management. WMU Studies in Maritime Affairs, vol. 6, Cham, Switzerland, pp. 257-273. DOI: 10.1007/978-3-319-74576-3_19

A Bayesian belief network model for integrated energy efficiency of shipping. / Canbulat, Onder; Aymelek, Murat; Turan, Osman; Boulougouris, Evangelos.

Trends and Challenges in Maritime Energy Management. ed. / Aykut Olcer; Momoko Kitada; Dimitrios Dalaklis; Fabio Ballini. Cham, Switzerland, 2018. p. 257-273 (WMU Studies in Maritime Affairs; Vol. 6).

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - A Bayesian belief network model for integrated energy efficiency of shipping

AU - Canbulat,Onder

AU - Aymelek,Murat

AU - Turan,Osman

AU - Boulougouris,Evangelos

PY - 2018/6/5

Y1 - 2018/6/5

N2 - Climate change is one of the major problems in today’s world and shipping has a direct influence on climate change by the amount of energy consumed and volume of emission generated during shipping and port operations. Energy efficiency and port operation relationship have been widely mentioned in the existing literature under the term of energy efficiency management. However, there is still a need for detailed research on the ship-port interface development regarding holistic energy efficiency. The complex logistic processes should comprise with port performance to avoid the inevitable delays and to obtain a more energy efficient transport system. Therefore, ports and fleet can be managed together within a conceptual communication framework. The primary purpose of this research is to enhance the scientific understanding of port and ship operation inter-operability based on energy efficiency interactions. A theoretical framework is developed to investigate how ports and ships could work together to reduce energy consumption and CO2 emissions. The integrated shipping system is analysed to create a unique Bayesian Belief Network (BBN) model aiming to support the operational optimisation of the ship and port interface. In this research, the BBN theory is applied to an oil tanker case study in order to examine the energy efficiency of the voyages between two ports. The study aims to provide a guide to the holistic energy efficiency of the oil/product tanker shipping operations.

AB - Climate change is one of the major problems in today’s world and shipping has a direct influence on climate change by the amount of energy consumed and volume of emission generated during shipping and port operations. Energy efficiency and port operation relationship have been widely mentioned in the existing literature under the term of energy efficiency management. However, there is still a need for detailed research on the ship-port interface development regarding holistic energy efficiency. The complex logistic processes should comprise with port performance to avoid the inevitable delays and to obtain a more energy efficient transport system. Therefore, ports and fleet can be managed together within a conceptual communication framework. The primary purpose of this research is to enhance the scientific understanding of port and ship operation inter-operability based on energy efficiency interactions. A theoretical framework is developed to investigate how ports and ships could work together to reduce energy consumption and CO2 emissions. The integrated shipping system is analysed to create a unique Bayesian Belief Network (BBN) model aiming to support the operational optimisation of the ship and port interface. In this research, the BBN theory is applied to an oil tanker case study in order to examine the energy efficiency of the voyages between two ports. The study aims to provide a guide to the holistic energy efficiency of the oil/product tanker shipping operations.

KW - integrated shipping system

KW - energy efficiency

KW - Bayesian networks

KW - tanker shipping

KW - ship-port interface

UR - https://www.springer.com/gb/book/9783319745756

U2 - 10.1007/978-3-319-74576-3_19

DO - 10.1007/978-3-319-74576-3_19

M3 - Chapter

SN - 978-3-319-74575-6

T3 - WMU Studies in Maritime Affairs

SP - 257

EP - 273

BT - Trends and Challenges in Maritime Energy Management

CY - Cham, Switzerland

ER -

Canbulat O, Aymelek M, Turan O, Boulougouris E. A Bayesian belief network model for integrated energy efficiency of shipping. In Olcer A, Kitada M, Dalaklis D, Ballini F, editors, Trends and Challenges in Maritime Energy Management. Cham, Switzerland. 2018. p. 257-273. (WMU Studies in Maritime Affairs). Available from, DOI: 10.1007/978-3-319-74576-3_19