A method for determining the allocation strategy of on-shore power supply from a green container terminal perspective

Peng, Yun; Li, Xiangda; Wang, Wenyuan; Wei, Zhijun; Xiao, Bing; Song, Xueguan

doi:10.1016/j.ocecoaman.2018.10.007

Cited by 64 publications

(23 citation statements)

References 9 publications

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“…By providing electricity to the ships from the shore-side power grid, the ships can turn off auxiliary diesel engine. Many ports have adopted shore power to reduce emissions in terminals, such as Los Angeles and Long Beach, Gothenburg, Shanghai and Zhuhai ( Peng et al, 2019 ; Xu et al, 2021b ). To date, shore power facilities have been set up at more than 30 ports and the number is expected to rise fast ( Wu and Wang, 2020 ).…”

Section: Trends In Emerging Technology and Management Researchmentioning

confidence: 99%

Emerging technology and management research in the container terminals: Trends and the COVID-19 pandemic impacts

Zhou¹,

Zhu²,

Bell³

et al. 2022

Ocean & Coastal Management

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Section: Trends In Emerging Technology and Management Researchmentioning

confidence: 99%

Emerging technology and management research in the container terminals: Trends and the COVID-19 pandemic impacts

Zhou¹,

Zhu²,

Bell³

et al. 2022

Ocean & Coastal Management

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“…Parola et al (2016) argued the ports competitiveness by conducting a systematic literature review. Penga et al (2018) and Yun et al (2018), evaluated the ports performance by Simulation method.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance evaluation of privatized ports by entropy based TOPSIS and ARAS approach

Gök-Kısa

Çeli̇k²,

Peker

2021

BIJ

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PurposePorts are the key elements of maritime transportation, which is crucial for world trade. Approximately 180 port facilities are located in Turkey. After 2007, 5 of the ports, which are formerly owned by Turkish Republic Railways Administration (TRRA), are privatized. The aim of the study is to evaluate the performance of these privatized ports by multi-criteria decision-making (MCDM) approach.Design/methodology/approachThe application process is performed by a MCDM model. This model includes both criteria (dry bulk, liquid bulk, general cargo, container, RO-RO capacity, total port area, total berth, total berths length and depth) and alternatives (Mersin, Samsun, Bandirma, Iskenderun and Derince Ports). It determines the weights of the criteria by entropy and ranks the alternatives by ARAS and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods.FindingsThe results of entropy, ARAS and TOPSIS methods are compared. According to these results, “container” is the most important criteria while Mersin port has the best performance.Originality/valueIn the literature, most of the studies about this subject were analyzed by data envelopment analysis (DEA) and there are no studies had been taken into consideration ports that are owned by TRRA, in Turkey. Moreover, few of these studies used integrated MCDM models, and this is the first study that integrates entropy, ARAS and TOPSIS methods in this field.

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“…According to the optimal decision of the proposed model, each berth in each port may be equipped with shore power equipment. The data in the literature [26,27] is applied as the basis to determine the relevant parameter settings of Section 2.2.2 listed in Table 1. The model M is written in Visual Studio 2015 C#, the operating system is Windows 10 Professional X64, the processor is Intel Core (TM) i7-6500 @ 2.50 GHz, and the memory is 8 GB.…”

Section: Experiments Preparationmentioning

confidence: 99%

Optimization of Shore Power Deployment in Green Ports Considering Government Subsidies

Huang

2021

Sustainability

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Shipping trade and port operations are two of the primary sources of greenhouse gas emissions. The emission of air pollutants brings severe problems to the marine environment and coastal residents’ lives. Shore power technology is an efficient CO2 emission reduction program, but it faces sizeable initial investment and high electricity prices. For shipping companies, energy such as low-sulfur fuels and liquefied natural gas has become an essential supplementary means to meet emission reduction requirements. This research considers the impact of government subsidies on port shore power construction and ship shore power use. It constructs a multi-period dual-objective port shore power deployment optimization model based on minimizing operating costs and minimizing CO2 emissions. Multi-combination subsidy strategies, including unit subsidy rate and subsidy demarcation line, are quantitatively described and measured. The proposed Epsilon constraint method is used to transform and model the dual-objective optimization problem. Numerical experiments verify the effectiveness of the model and the feasibility of the solution method. By carrying out a “cost-environment” Pareto trade-off analysis, a model multi-period change analysis, and a subsidy efficiency analysis, this research compares the decision-making results of port shore power construction, ship berthing shore power use, and ship berthing energy selection. Government subsidy strategy and operation management enlightenment in the optimization of port shore power deployment are discussed.

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A method for determining the allocation strategy of on-shore power supply from a green container terminal perspective

Cited by 64 publications

References 9 publications

Emerging technology and management research in the container terminals: Trends and the COVID-19 pandemic impacts

Emerging technology and management research in the container terminals: Trends and the COVID-19 pandemic impacts

Performance evaluation of privatized ports by entropy based TOPSIS and ARAS approach

Optimization of Shore Power Deployment in Green Ports Considering Government Subsidies

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