Using Artificial Intelligence (AI) methods for effectively responding to climate change at marine ports

P. Kovalishin, N. Nikitakos, B. Sviličić, Jinnan Zhang, A. Nikishin, D. Dalaklis, Maksim Kharitonov, A. Stefanakou
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引用次数: 0

Abstract

ABSTRACT Marine ports operations are often associated with a variety of externalities, including issues like air pollution and noise, among others; there is clearly a negative impact on the working environment and the quality of life of the citizens living next to a port. An effective way to improve the overall situation can be provided by deploying the shore-to-ship electrification method, also known as Cold Ironing. Unfortunately, there is still a disadvantage: there is no holistic approach involved, as the external electrical grid is usually powered by fossil fuels. In a different approach, the zero-emissions port concept uses a smart grid technology framework connected to renewable energy sources and the electrical grid is used only as a backup source in a situation where there is a deficit in power balance. However, an important challenge remains, the conversion to electricity and the efficiency of the converting systems. The use of such sources for commercial electrical supply is only possible with the new “Smart Grid” concept and the use of artificial intelligence (AI). In this paper, an overview of AI methods for smart grid energy management optimization for ports is presented, discussing the potential application of each algorithm to zero-emission port concepts.
利用人工智能(AI)方法有效应对海洋港口的气候变化
海洋港口运营通常与各种外部性有关,包括空气污染和噪音等问题;这显然会对港口附近居民的工作环境和生活质量产生负面影响。通过部署岸对船电气化方法(也称为冷熨烫),可以提供改善整体情况的有效方法。不幸的是,它仍然有一个缺点:由于外部电网通常由化石燃料供电,因此没有涉及整体方法。在另一种不同的方法中,零排放港口概念使用与可再生能源相连的智能电网技术框架,电网仅在电力平衡出现赤字的情况下用作备用电源。然而,一个重要的挑战仍然存在,即转换为电能和转换系统的效率。只有通过新的“智能电网”概念和人工智能(AI)的使用,才能将这种能源用于商业电力供应。本文概述了港口智能电网能源管理优化的人工智能方法,讨论了每种算法在零排放港口概念中的潜在应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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