Student:	Orkun Burak ÖZTÜRK
Supervisor:	Prof. Dr. Ersan BAŞAR
Department:	Deniz Ulaştırma İşletme Mühendisliği
Institution:	Graduate School of Natural and Applied Sciences
University:	Karadeniz Technical University Turkey

Title of the Thesis:	GREEN SHIPPING PRACTICES in CONTAINER TRANSPORTATION
Level:	Ph.D.
Acceptance Date:	26/6/2020
Number of Pages:	149
Registration Number:	Di1381

Summary:

Green shipping practices are ship energy efficiency measures enable to reduce air

pollution from ships and voyage costs. These practices are evaluated within the scope of hull

and machinery sections, propulsion and maneuvering systems, voyage management and

using of alternative energy sources on ships.

The aim of this study is to reduce greenhouse gas emission from ships and voyage

costs by performing voyage management energy efficiency measures on ships. The data of

RPM, Pitch, mean draft, trim, weather and fuel consumption from the average 24-month

daily reports of 19 container ships in 5 different groups were examined in accordance with

this purpose. Decision support systems have been established to predict the ship fuel

consumption with Multiple Linear Regression Analysis (MLRA) and Artificial Neural

Network (ANN) methods.

MLRA and ANN prediction models have shown good fit between 76-86% and 80-

90% respectively. As a result of the optimization application scenarios energy efficiencywas

achieved via RPM optimization 32-37%, trim optimization 6.5-8%, ballast optimization 6-

8% and wheather routing optimization 7-12%. These results indicate that energy efficiency

applications to be carried out within voyage management will reduce the emissions of

greenhouse gases and voyage costs.

Key Words: Container transportation, Ship energy efficiency, Multiple regression analysis,

Artificial neural networks, Fuel-oil consumption prediction