Green Hydrogen Value Chain in the Sustainability for Port Operations: Case Study in the Region of Valparaiso, Chile

Macía, Yunesky Masip; Machuca, Pablo Rodríguez; Soto, A. A. Rodríguez; Campos, Roberto Carmona

doi:10.3390/su132413681

Cited by 17 publications

(5 citation statements)

References 75 publications

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“…In the article (Masip Macía et al, 2021), a whole value chain for using green hydrogen in port facilities is shown. The major goal was to suggest the sizing of the primary green hydrogen components in order to guarantee a supply of 1 MWe in order to replace the diesel generator.…”

Section: Problem Statementmentioning

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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Section: Problem Statementmentioning

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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show abstract

“…The complexity of a hydrogen production, storage, and delivery system in a port depends on the production method used (for example, green hydrogen from renewable energy sources), the type of application (whether the hydrogen is used for fuel cell vehicles), and the specific characteristics of the port [31,32]. A techno-economic analysis of hydrogen production in the port of Trieste has been carried out, considering on the one hand the demand for hydrogen fuel in the steel works of the port and on the other hand the case of fuelling a steel works and a hydrogen fuelling station in the port.…”

Section: Alternative Fuelsmentioning

confidence: 99%

Classification of Green Practices Implemented in Ports: The Application of Green Technologies, Tools, and Strategies

Karagkouni,

Boile

2024

JMSE

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This study reviews and categorises ports’ green initiatives to reduce their polluting emissions and improve their overall environmental performance. These categories facilitate comparisons between different practices and allow the identification of common trends and challenges. Through a systematic review that combines both academic and industry sources, green port practices including strategies, tools, infrastructures, and initiatives were identified. This methodology enhances the credibility and reliability of the findings by thoroughly reviewing the available literature and data. Overall, 380 records of green practices explored by ports and port-related stakeholders worldwide have been reviewed. The practices’ main elements, characteristics, implementation challenges, and indicative environmental outcomes are highlighted. The results show that the most commonly discussed green solutions are driven mainly by the regulation requirements and ports’ own interest to develop environmentally friendly operations, while at the same time remaining competitive in terms of sustainability in the port industry. Consequently, the most widely explored solutions include (i) Shore Side Electricity–Onshore Power Supply, (ii) alternative fuels, (iii) circular economy, and (iv) waste management.

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“…Operational values fall within existing limits for power plants, including those utilizing fossil fuels. When considering the ratio between investment capital and operational costs relative to the electric power produced by installations using renewable sources and stored in green hydrogen, specific values can be identified [22,23]. If you add the investment related to compression and storage (which can be of various technologies), along with that related to buildings, power lines, etc., you reach very high values, around 7000-8500 USD/(kW), with much over the investment in other electricity production systems or even its storage by using other technologies.…”

Section: The Concept and Process Of Storing Electric Energy From Rene...mentioning

confidence: 99%

The Storage Process of Electric Energy Produced from Renewable Sources from Hydrogen to Domestic Hot Water Heating

Stoica,

Mihăescu,

Lăzăroiu

et al. 2024

Processes

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The expansion of renewable electricity storage technologies, including green hydrogen storage, is spurred by the need to address the high costs associated with hydrogen storage and the imperative to increase storage capacity. The initial section of the paper examines the intricacies of storing electricity generated from renewable sources, particularly during peak periods, through green hydrogen. Two primary challenges arise: firstly, the complexity inherent in the storage technology and its adaptation for electricity reproduction; and secondly, the cost implications throughout the technological chain, resulting in a significant increase in the price of the reproduced energy. Electric energy storage emerges as a pivotal solution to accommodate the growing proportion of renewable energy within contemporary energy systems, which were previously characterized by high stability. During the transition to renewable-based energy systems, optimizing energy storage technology to manage power fluctuations is crucial, considering both initial capital investment and ongoing operational expenses. The economic analysis primarily focuses on scenarios where electricity generated from renewable sources is integrated into existing power grids. The subsequent part of this paper explores the possibility of localizing excess electricity storage within a specific system, illustrated by domestic hot water.

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Green Hydrogen Value Chain in the Sustainability for Port Operations: Case Study in the Region of Valparaiso, Chile

Cited by 17 publications

References 75 publications

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

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

Classification of Green Practices Implemented in Ports: The Application of Green Technologies, Tools, and Strategies

The Storage Process of Electric Energy Produced from Renewable Sources from Hydrogen to Domestic Hot Water Heating

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