Comparison of container terminal operation models from carbon footprint perspective Yi-Chih Yang
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1 Comparison of container terminal operation models from carbon footprint perspective Yi-Chih Yang Professor, National Kaohsiung Marine University, Taiwan 1
2 1 Introduction Literature Review 2 3 Methodology Empirical examination 4 5 Outline Conclusions 2
3 1.Introduction
4 Different types of logistic acivities Transport vehicles Container Terminal Various industry Supply chain activities Lessen Cargo operating handling cost equipment is the main source of exhaust emissions in the Strengthen container terminal market service supply chain competitiveness Introduction The use of handing equipment with high efficiency and effectiveness 4
5 Automatic equipment Green container terminals Semiautomatic cargo handling equipment CO 2 mitigation performance E-TT ART RT TT the two most common container terminal operating models at the port of Kaohsiung TT type RT type Introduction 5
6 Carbon footprint analysis TT COMPARING ART Energy saving performance Carbon reduction performance Gray relational analysis Introduction The ranking order of the two operating models 6
7 THE GOALS To review the concepts of container terminal, green container terminal, and measurement of a container terminal's carbon footprint To calculate the CO 2 emissions of various container terminal operating models based on a carbon footprint approach goals of paper 7
8 THE GOALS To examine the ranking order in terms of CO2 emissions of different container terminal operating models via gray relational analysis To provide suggestions and options for shipping companies and government authorities facilitating formulation of green port strategies goals of paper 8
9 2.Literature Review
10 -Pedrick(2006) -Clarke(2006) Beneficial site planning The requirement of a green container terminal Improved environmental quality Better materials and systems The features of green terminals Lower water usage Greater energy efficiency Minimum impact on the local environment Minimum impact on the macro environment Green container terminals 10
11 -Lazic(2006) Automatic and semi-automatic equipment should be used in green container terminals -Clarke(2006) Automatic equipment to green container terminal requirements Lower greenhouse emissions Less energy consumption Reduction of container damages Control of pollutant emissions Mitigation of noise pollution Improved operating efficiency Lower climate impact Green container terminals 11
12 -Yun and Choi(1999) The container handling equipment in the systems: Subsystems in container terminal systems The gate Container yard berths Container terminal operating models 12
13
14 Container terminal can improve the productivity by increasing the efficiency and effectiveness of container handling equipment Types of the equipment RTs TTs SCs RSs Container terminal operating models 14
15 ART vs TT Automatic Rail Transtainer Tire Transtianer 15
16 Item TT ART Mobility Average Poor Safety Average Good Operating system Wireless Fiber transmission integration method transmission system system Stability of Signal Unstable Stable Breakdown rate Average Low Mechanical method Hydraulic Electronic control Repair and maintenance Average Short time Energy source Diesel Electric Maintenance cost High Low Air pollution Severe Zero Container terminal operating models 16
17 3.Methodology
18 I. T. E. T. External tractor Container Yard Area Yard crane E. T. I. T. Gate Area Tire Transtainer Berth Area E. T. I. T. External Tractor Gantry Crane Rail Transtainer E. T. I. T. Methodology Internal tractor Gantry crane 18
19 TCO= ET_CO + IT_CO + YC_CO + GC_CO ET_CO=ET_AE x ET_CC IT_CO=IT_AE x IT_CC ART YC_CO=YC_AE x YC_CC GC_CO=GC_AE x GC_CC Energy saving performance Compared based on TT TCO: Total CO 2 emissions from all equipment (kg) ET_CO: Total CO Carbon reduction 2 emissions from external tractor (kg) IT_CO: Total CO 2 emissions from performance internal tractor (kg) YC_CO: Total CO 2 emissions from yard crane (kg) GC_CO: Total CO 2 emissions from gantry crane (kg) Carbon footprint analysis 19
20 To determine the degree of correlation between influencing factors in a system with uncertain information Working time efficiency The ranking order of different models Energy consumption CO 2 emissions Gray relational analysis 20
21 A company & B company, both operating container terminals in Kaohsiung Internal data Formulas ART TT Operating model company B A company Number 22 Terminal quay length 640 meters Terminal quay width 520 meters Terminal szie hectares per crane s performance moves/hr Data Collection 21
22 container movements are limited to the movements of export containers container movement areas are composed of a gate area, container yard, and berth area the ART has a working efficiency of 29 moves/per hour faster than TT with 21 moves one export container movement is considered a continuous action sailing schedule is not taken into consideration Hypothetical conditions 22
23 4.Empirical examination
24 ET_CO=ET_AE x ET_CC (TT operating model) ET_CO=1.782 TT L x 2.67 kg/l=4.76kg Two case IT_CO=IT_AE Using the data x IT_CC from companies CPC & TPC, the study found IT_CO=0.594 L x 2.67 the kg/l=1.59kg result below: ART Carbon YC_CO=YC_AE x YC_CC dioxide Average CO2 emissions for TTs:16.68kg /per container YC_CO: 2.41L x 2.7kg/L=6.51kg reduction Average CO2 emissions for ARTs:12.85kg /per container GC_CO=GC_AE x GC_CC Data of GC_CO=6kWh x0.637kg/kwh=3.82kg Working the two capacity case corps. TCO= ET_CO + IT_CO + YC_CO + GC_CO TCO=4.76kg+ 1.59kg +6.51kg +3.82kg =16.68 Energy consumption Empirical examination 24
25 Total working time Total energy consumption Average energy consumption CO2 emissions of one piece of equipment The annual operating output The total working time of the equipment Total energy consumption Average energy consumption Average working efficiency of each type of equipment Equipment s energy consumption per hours The quantity of equipment CO2 emission coefficient Carbon footprint perspective 25
26 Working time efficiency The ART model (24.47mins) took more time than the TT model (23.86mins) Carbon footprint perspective 26
27 Working time efficiency Energy consumption cost NT$ for the TT model (diesel fuel) NT$81.68 for the ART model Carbon footprint perspective 27
28 Working time efficiency Energy consumption cost Carbon dioxide emission Working kg for the TT model TT efficiency kg for the ART model ART Energy consumption cost TT ART Carbon dioxide emission TT ART Carbon footprint perspective 28
29 Raw data Raw data WE EC CE TT model ART model Reference sequence Difference between reference sequence and inspected sequence WE EC CE MAX MIN ζ TT model ART model Gray relational grade values WE EC CE GRD Rank TT model ART model Gray relation analysis 29
30 5.Conclusions
31 1 2 A green container terminal should be designed to harmonize container terminal operation with the ecological environment If diesel TTs can be converted to E-TTs, the advantages can be obtained ART 1.No can greenhouse be considered gas green emissions cargo handling 3 equipment due to the significant contributions 2.No diesel engineering noise pollution to WE, EC and CE Container 3.Improved handling air quality equipment with high 4 operating 4.Reduced efficiency equipment will idling be better time both in working and environment aspects 5.Energy savings can be obtained Conclusions 31
32 E-TT Bus Bar System for Electric Tire Transtainer in EMC terminal
33 5 There are some issues awaiting for further discussion for: Idling vehicle time reduce Further research issues could be extended 2.Revision research issue scope of to existing other Asia operating hub ports system to remote control system To collect the terminal data is not easy. To deal 3.Laser with the remote problems, sensing we had technology adopted personal interview approach to collet data Conclusions 33
34 CARBON Thank you for Listening Yi-Chih Yang Professor, Department of Shipping and Transportation Management, National Kaohsiung Marine University, Taiwan GREEN PORT ENERGY
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