Classifying maritime port emissions reporting

Cammin, Philip; Brüssau, Kai; Voß, Stefan

doi:10.1016/j.martra.2022.100066

Cited by 8 publications

(8 citation statements)

References 37 publications

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“…Pollution at ports can cause pollution. In research Cammin et al, (2022), it was explained that ports need to make reports related to the number of emissions to be able to control the environment.…”

Section: Positive and Negative Impacts Of Eco Port Policies In Egypt ...mentioning

confidence: 99%

Comparative analysis of eco port policies in Egypt and Indonesia

Andriyanto,

Koestoer

2024

EAEBJOL

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Activities at the port can cause damage to the environment. The impact can occur on air quality, water, and noise, to produce waste. Environmental damage at the port needs to be handled by managing the port in an environmentally sound manner that prioritizes environmentally, economically, and socially sustainable principles. The concept of ecologically friendly ports has been implemented in Egypt at Damietta Port and in Indonesia at the Nizam Zachman Ocean Fishing Port. This study analyzes the comparison of two ports in the two countries based on the implementation of eco-port policies and determines the positive and negative sides of the policy. Literature and comparative studies on the performance of eco ports were carried out for this research by analyzing the relevant theoretical basis from scientific journals, websites, and reports from related institutions. Based on the literature review analysis, Damietta Port in Egypt and the Ocean Fishery Port of Nizam Zachman Indonesia have implemented the eco port concept in managing their seaports. However, several positive and negative impacts must be addressed from implementing this policy based on environmental policy regulations, technical benefits, economic benefits, and humans.

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Section: Positive and Negative Impacts Of Eco Port Policies In Egypt ...mentioning

confidence: 99%

Comparative analysis of eco port policies in Egypt and Indonesia

Andriyanto,

Koestoer

2024

EAEBJOL

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“…Also, there are other hybrid methodologies that consist of combining the different approaches of the aforementioned models [16]. More general settings of emission inventories are described in [25,33,34].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…Further efforts should be made to obtain more accurate shipping emission estimations or inventories, so it is desirable to obtain more accurate input data (technical information on vessels, engines, load, and emission factors) to arrive at a global and universally accepted methodology [16,25,33,34]. Methodological approaches to learning inventory policies using machine learning could also be seen in [35] for a different application setting.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Towards Cleaner Ports: Predictive Modeling of Sulfur Dioxide Shipping Emissions in Maritime Facilities Using Machine Learning

et al. 2023

Self Cite

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Maritime ports play a pivotal role in fostering the growth of domestic and international trade and economies. As ports continue to expand in size and capacity, the impact of their operations on air quality and climate change becomes increasingly significant. While nearby regions may experience economic benefits, there are significant concerns regarding the emission of atmospheric pollutants, which have adverse effects on both human health and climate change. Predictive modeling of port emissions can serve as a valuable tool in identifying areas of concern, evaluating the effectiveness of emission reduction strategies, and promoting sustainable development within ports. The primary objective of this research is to utilize machine learning frameworks to estimate the emissions of SO2 from ships during various port activities, including hoteling, maneuvering, and cruising. By employing these models, we aim to gain insights into the emission patterns and explore strategies to mitigate their impact. Through our analysis, we have identified the most effective models for estimating SO2 emissions. The AutoML TPOT framework emerges as the top-performing model, followed by Non-Linear Regression with interaction effects. On the other hand, Linear Regression exhibited the lowest performance among the models evaluated. By employing these advanced machine learning techniques, we aim to contribute to the body of knowledge surrounding port emissions and foster sustainable practices within the maritime industry.

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“…Inventory helps ports establish an emission baseline and to identify effective and appropriate measures to successfully implement decarbonisation measures and investment strategies. Inventory advocates collection of emission data while monitoring, reporting, and tracking enable improvement and benchmark emissions over the years [36,131,[145][146][147]. The world port climate initiative (WPCI) segmented port GHG emission into three scopes, which incorporated emission and energy consumption (electricity) of port authorities, including those of tenants, and the port, ship, and land transport operators [148].…”

Section: Inventory Monitoring and Reportingmentioning

confidence: 99%

Consolidating Port Decarbonisation Implementation: Concept, Pathways, Barriers, Solutions, and Opportunities

Alamoush,

Dalaklis,

Ballini

et al. 2023

Sustainability

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Industries worldwide are facing the urgent need to decarbonise in alignment with the goal of the Paris Agreement (PA), which aims to limit global warming. However, progress towards achieving this extremely important goal has been sluggish, and the wider maritime transport sector (ports included) is no exception. Despite practical barriers faced by ports, solutions have not yet been developed. Similarly, the definition or concept of decarbonisation, including opportunities arising for the port sector, remains underdeveloped and lacks support from academic research. Specifically, there are a lack of conceptual studies that yield clear and usable results and evidence. To address this gap and shed light on port decarbonisation as a contemporary issue (the study aim), this study has conducted a literature review consulting different academic and grey studies. The results of this study define the concept of port decarbonisation, highlight the barriers that hinder progress in this area, and establish solutions to guide ports in implementing decarbonisation measures and mitigating barriers. Building upon these findings, this study not only contributes to scholarly discussions surrounding port decarbonisation but also offers valuable implications for port managers, policy makers, practitioners, and other pertinent authorities. By properly understanding the concept of decarbonisation and its barriers and expanding knowledge in relation to it and its practical implementation, including the eye-opening opportunities, port stakeholders can actively contribute to the objective of the Paris Agreement and the broader pursuit of sustainability.

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Classifying maritime port emissions reporting

Cited by 8 publications

References 37 publications

Comparative analysis of eco port policies in Egypt and Indonesia

Comparative analysis of eco port policies in Egypt and Indonesia

Towards Cleaner Ports: Predictive Modeling of Sulfur Dioxide Shipping Emissions in Maritime Facilities Using Machine Learning

Consolidating Port Decarbonisation Implementation: Concept, Pathways, Barriers, Solutions, and Opportunities

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