Green Port Strategies in Developed Coastal Countries as Useful Lessons for the Path of Sustainable Development: A case study in Vietnam

Nguyen, Hoang Phuong; Nguyen, Phuoc Quy Phong; Nguyễn, Thanh Phương

doi:10.14710/ijred.2022.46539

Cited by 18 publications

(11 citation statements)

References 88 publications

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“…[4] that the management of public transportation policies leads to a pattern of collaboration that is built and integrated. The concept of the application is in accordance with the research conducted [8] that the national green port strategy in Vietnam is to build legal corridors and infrastructure in building a sustainable economy in 2045. So the concept of infrastructure and legal force is the basis for national development in Vietnam.…”

Section: Theoretical Framework 21 Public Policy and Management Policymentioning

confidence: 99%

Implementation and Challenges : "Digital Payment System Port Transportation in Developed Countries in Southeast Asia''

Izharsyah

Saleh

Adhani

et al. 2023

KSS

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ASEAN makes development priorities and policies for structuring and integrating world ports in ASEAN STOM with three focuses such as Single Shipping Market (ASSM), ASSM Coordination Board, and Electronic Data Interchange (EDI). The study aims to look at the implementation and challenges of developing the Payment System Port Transportation in Southeast Asian countries with the development system of Single Shipping Market (ASSM), ASSM Coordination Board and Electronic Data Interchange (EDI) in Mainland Asia Country and Insular Asia Country. The method used is a literature study with meta-analysis and information from previous research. The results obtained by Laem Chabang Port, Thailand occupy category I Focus on Single Shipping Market (ASSM) Development, ASSM Coordination Board and Electronic Data Interchange (EDI). Meanwhile, in the Insular Asia Country at the ports of Singapore and Tanjung Priok, Jakarta the challenges faced were 33% policy and regulatory issues, 25% infrastructure problems, 22% institutional and human resources and 20% of planning and budgeting. Recommendations were given for the formation of integration and cooperation of ASEAN countries in formulating a transportation development strategy by creating a digital payment system environment so as to help entrepreneurs and industry as well as transportation users. Keywords: Dygital payment system, port transportasi development

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Section: Theoretical Framework 21 Public Policy and Management Policymentioning

confidence: 99%

Implementation and Challenges : "Digital Payment System Port Transportation in Developed Countries in Southeast Asia''

Izharsyah

Saleh

Adhani

et al. 2023

KSS

View full text Add to dashboard Cite

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“…The market places a considerable emphasis on alternative fuels, energy derived from renewable sources, and artificial intelligence (AI), among other essential components. By enhancing sustainability, efficiency, and environmental responsibility, these three pillars have the potential to provide the maritime industry with more significant opportunities for improvement [26], [27]. Traditional fossil fuels, such as oil and diesel, have been depended on by the marine industry for a very long time [28], [29].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence and Machine Learning for Green Shipping: Navigating towards Sustainable Maritime Practices

Nguyen,

Tran

et al. 2024

JOIV : Int. J. Inform. Visualization

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This paper aims to investigate the role that artificial intelligence (AI) plays in promoting sustainability in the marine industry. The report demonstrates the potential of AI-driven technology to improve vessel operations, decrease emissions, and promote environmental stewardship. This potential is shown by detailed examination of existing trends, problems, and possibilities. Several vital studies highlight the significance of policy interventions that encourage the use of artificial intelligence. These interventions include financial incentives, legal frameworks, and programs to increase capability. Throughout this work, the importance of the role that artificial intelligence plays in driving efficiency, safety, and sustainability is emphasized. This work also highlights the urgent need for action to address climate change and environmental degradation in the marine sector. The marine industry can lessen its carbon footprint, decrease pollution, and improve ecosystem health if it shifts to various alternative fuels, renewable energy sources, and technologies powered by artificial intelligence. At the end of this work, an appeal is made to policymakers, industry stakeholders, and technology providers, urging them to prioritize investments in artificial intelligence research and development and to create collaboration to speed up the transition to a marine sector that is more sustainable and resilient.

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“…The findings also help us comprehend the field of research on green ports, which can then help us determine the best course of action for the green ports' sustainable development (Elnajjar et al, 2021). In order to highlight the unique characteristics of green ports, this work (Nguyen et al, 2022) focuses on evaluating effective green port policies and concepts in industrialized nations.…”

Section: Introductionmentioning

confidence: 99%

Introducing Optimal Energy Hub Approach in Smart Green Ports based on Machine Learning Methodology

Tawfik,

Shehata,

Hassan

et al. 2024

Preprint

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The integration of renewable energy systems in port facilities is essential for achieving sustainable and environmentally friendly operations. This paper presents the implementation of an Optimal Energy Hub approach in smart green ports, with a focus on the case study of Egypt and the Middle East Oil Transmission & Pipelines Company (MIDTAP) company. The study explores the integration of photovoltaic (PV) and wind energy systems within the port's operations. Machine learning methodologies are utilized to optimize energy management and decision-making processes in the port. The proposed approach leverages historical data, weather forecasts, and real-time energy demand to predict and optimize the utilization of PV and wind energy resources. By utilizing machine learning techniques, the energy hub can efficiently balance energy supply and demand, ensuring optimal utilization of renewable sources while minimizing reliance on conventional energy sources. Furthermore, this paper discusses a scenario of increasing load and renewable energy generation in the port facility. A comprehensive energy flow-based mixed integer linear programming (MILP)-based optimization framework implemented in MATLAB is presented. This framework aims to minimize electricity consumption costs while providing considerable flexibility and adaptability to accommodate the changing energy landscape. The results of the study provide valuable insights into the implementation of sustainable energy solutions in smart green ports, specifically in the context of Egypt and the MIDTAP company. The integration of PV and wind energy systems, along with the proposed MILP-based optimization framework, offers a practical and efficient approach to minimize electricity consumption costs and reduce the carbon footprint of port operations. The findings demonstrate the flexibility and adaptability of the Optimal Energy Hub approach in accommodating increasing loads and renewable energy generation. The research findings encourage the adoption of similar energy hub approaches in other port facilities, contributing to the global transition towards greener and more sustainable practices. The utilization of machine learning methodologies and MILP-based optimization frameworks in smart green ports can facilitate cost-effective and environmentally friendly energy management, promoting a more sustainable future for port operations. Several scenarios were used to show how the proposed notion was perceived. The primary objective is to maximize the use of renewable energy sources while reducing expenses and emissions. The MIDTAP Company evaluated the effects of adding more renewable energy systems in smart green ports through a study involving six scenarios. Additionally, MIDTAP Company conducted research with six scenarios to assess the impact of increasing the number of renewable energy systems in smart green ports. In these scenarios, the renewable energy systems (PV + Wind) are increased by 10%, 20%, 30%, and 40%, while the load is increased by 25% and 50%. The primary objective of these scenarios is to maximize the use of renewable energy sources while reducing expenses and emissions, and the results provide valuable insights into the potential benefits and challenges of scaling up renewable energy systems in smart green ports. The significance of grid connectivity and sustainable energy solutions for smart green ports was also emphasized by the study. The findings show how economical and sustainable energy solutions may be achieved in smart green ports through the application of machine learning and optimization based on MILP. The selection of a 40% increase in renewable energy systems (PV + Wind) in the sixth scenario, which aims to explore the potential for further scaling up renewable energy infrastructure within the MIDTAP port, is based on the available area in MIDTAP. Considering the spatial limitations and resource availability of the port, careful assessment and planning are crucial to determine the optimal capacity for renewable energy systems. By selecting a 40% increase, the study takes into account the available area within MIDTAP and the potential for accommodating additional renewable energy installations. This approach ensures that the scenario aligns with the port's physical constraints while still pushing the boundaries of renewable energy integration. Evaluating this scenario provides insights into the feasibility and benefits of leveraging a larger share of renewable energy sources within the port, ultimately contributing to its sustainable and environmentally friendly operations.

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Green Port Strategies in Developed Coastal Countries as Useful Lessons for the Path of Sustainable Development: A case study in Vietnam

Cited by 18 publications

References 88 publications

Implementation and Challenges : "Digital Payment System Port Transportation in Developed Countries in Southeast Asia''

Implementation and Challenges : "Digital Payment System Port Transportation in Developed Countries in Southeast Asia''

Artificial Intelligence and Machine Learning for Green Shipping: Navigating towards Sustainable Maritime Practices

Introducing Optimal Energy Hub Approach in Smart Green Ports based on Machine Learning Methodology

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