Title : Innovative technologies and artificial intelligence to decarbonize the shipping industry and measures to control pollution
Abstract:
Global shipping industry represents one of the biggest contributors to greenhouse gas emissions and environmental degradation. In this study, we explore innovative technologies and artificial intelligence (AI) protocols to decarbonize the maritime industry and implement effective pollution control measures. The research study will address the current challenges within the maritime sector. It will include the need to quantify diverse carbon emissions, together international and local regulations, and mitigating the adverse environmental impacts of conventional shipping practices. The technical and operational limitations that orientate the industry's transition toward sustainability will be assessed emphasizing the urgent need for a digital transformation. A data analysis about how AI solutions are transforming the operations, by reducing fuel consumption and minimizing greenhouse gas emissions will be presented. Moreover, how advanced algorithms can optimize daily operations process through predictive analytics and real-time monitoring emissions through integrated sensor networks and the benefits of an optimal use of big data and IoT technologies to achieve a lower footprint on maritime industry will be shown. Finally, different successfully case studies and pilot projects will be discussed in order to provide practical examples of how the use of AI-based innovative strategies can help to improve the sustainability and cost efficiency, monitoring maritime pollution and reducing carbon footprint in the shipping industry.
