PUKYONG

Energy Consumption Analysis of International Container Terminals

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Alternative Title
국제 컨테이너 터미널 에너지 소비 분석: DEA 기법을 통한 효율성 측정
Abstract
The emergence of modern container terminals in most of ports all over the world has indeed helped many ports to increase their throughputs, and reach extraordinary new records in term of cargo handling volume; however, the high mechanization and the introduction of a wide range of machinery and equipment to the port industry increased dramatically the consumption of energy in the sector, and lead to numerous undesirable side effects; (i.a. ‘sustainability issues, and depletion of natural resources’, and ‘harmful emissions’). To face the challenge of getting over the undesirable effects of containerization in the port industry, decision makers must adopt global strategies and policies that consider the public health, environmental impacts, and sustainability.
In the line of efforts to face environmental and sustainability issues, energy consumption has been emerging as an important matter. In fact decision makers are reluctant to act while planning energy use reduction policies, if there is no consistent data and accurate information to support the policy position they may take. Therefore, measuring the energy efficiency of ports becomes one of the crucial elements that may provide solid basis to develop effective energy related policies.
This work aims to propose an alternative method to measure the energy use efficiency in container Terminals. The study includes a sample of eighteen units composed from both automated and traditional terminals located in ten different countries. The Approach is based on Data Envelopment Analysis (DEA), a non-parametric efficiency measurement method introduced by Farrell in 1957. The objective is to dichotomize the data set into efficient and inefficient units, compute the potential amount of energy consumption likely to be reducible by inefficient container terminals to reach an optimal level of energy efficiency, find an improvement reference peer group, and investigate the best improvement path for each inefficient unit.
Author(s)
HERMOUCHE TOUFIK SABRI
Issued Date
2015
Awarded Date
2015. 8
Type
Dissertation
Publisher
Pukyong National University, Business Administration
URI
https://repository.pknu.ac.kr:8443/handle/2021.oak/12555
http://pknu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002067605
Alternative Author(s)
사브리
Affiliation
Pukyong National University, Business Administration
Department
대학원 국제통상물류학과
Advisor
Myung-Shin Ha
Table Of Contents
List of Figures iv
List of Tables v
Chapter I : Introduction 1
I.1. Research Background and Problem Statement 1
I.2. Research Motivation and Objectives 2
I.3. Method 3
I.3.1. Data Collection 3
I.3.2. Designation of the Model’s Variables: 3
I.3.3. Model Selection 4
I.3.4. Running the DEA Model 4
I.3.5. Analysis’ Result Discussion 4
I.4. Research Scope 5
I.5. Reasons to Use DEA 5
I.6. Organization of Chapters and Research Structure 6
Chapter II : Literature Review 8
II.1. Theoretical Framework 8
II.1.1. Efficiency Measurement 8
II.1.2. Alternative Techniques to Measure Efficiency 9
II.2. Review of Previous Researches on Energy Efficiency 11
Chapter III : The Environmental Impact of Container Terminals 13
III.1. Indirect Impact 13
III.1.1. Vessels Traffic Emissions 13
III.1.2. Inland Transport Emissions 16
III.2. Direct Impact 17
III.2.1. Air Pollution 17
III.2.2. Water pollution 19
III.2.3. Dredging 19
III.2.4. Noise Pollution 20
Chapter IV : Container Terminals and Energy Consumption 21
IV.1. an Over View of Operation Subsystems of Container Terminals 21
IV.1.1. Ship-to-Shore Subsystem 22
IV.1.2. Horizontal Transportation Subsystem 22
IV.1.3. Containers Storage Subsystem 23
IV.2. Container Terminals Machinery and Equipment 23
IV.2.1. Quay Side Equipment 23
IV.2.2. Yard Equipment 25
IV.3. Container Terminals Energy Consumption Pattern 30
IV.3.1. Determination of Types of Energy Sources 30
IV.3.2. Energy Consumption by Type of Equipment 32
Chapter V : DEA Methodology and Discussion of the Analysis Results 35
V.1. the Concept of Input Oriented Data Envelopment Analysis 35
V.1.1. Input-Oriented DEA Model with Constant Return to Scale 37
V.1.2. Input-Oriented DEA Model with Variable Return to Scale 44
V.1.3. DEA Scale Efficiency 45
V.1.4. DEA Super Efficiency 46
V.2. Measuring Energy Efficiency of Container Terminals Using DEA 47
V.2.1. DEA Model Selection 47
V.2.2. DEA Input-Oriented Analysis 51
Chapter VI : Conclusion 77
VI.1. Research Finding 77
VI.2. Conclusion 79
VI.3. Study Limitation 81
VI.4. Future Work 81
Appendix I: Terminals’ Initial Data 90
Appendix II: Terminals’ Converted Data 94
Appendix III: Data Collection Questionnaire 95
Degree
Doctor
Appears in Collections:
대학원 > 국제통상물류학과-FTA비즈니스전공
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