Smart energy systems approach to zero emissions long-range sailing vessels

IF 5.4 Q2 ENERGY & FUELS Smart Energy Pub Date : 2022-08-01 DOI:10.1016/j.segy.2022.100086
Andrew Cass , Jens Ring Nielson
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引用次数: 1

Abstract

Transportation is undergoing an electric revolution and the marine sector is missing many of the advances made in other industries. The critical roadblock is the virtual actor of safety. To date, there is no viable replacement for the range, comfort, and safety provided by a tank of diesel.

The question this research asks is could fully integrating transport, storage, and eliminating critical excess energy within the closed loop of the sailing vessel increase comfort, safety, range, and speed? This paper leverages the smart energy systems approach and is based on existing technology, including the propeller. However, it applies a new approach to driveline design and operation as a basis to model energy performance.

In our model, wind is the primary energy source converted into electric energy via hydro-generation; the point of departure from existing systems is the ability to fully manage critical excess energy in an integrated smart energy system. Energy management is carried out by a new performance algorithm called Charge Made Good (CMG), that allows the vessel to predict the battery state at the journey’s end and maintain this prediction during periods of intermittent energy production from forecast variance. The model shows that fossil fuels used for safety and range in direct-drive and electric-hybrid systems can be eliminated, with an improved level of amenity aboard and an improved safety factor using the smart energy systems approach. It is the first academic research to address the safety and comfort of zero-emissions recreational craft rather than technical but unusable/uneconomic solutions.

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智能能源系统接近零排放远程帆船
交通运输正在经历一场电力革命,而海洋领域却缺少其他行业取得的许多进步。关键的路障是安全的虚拟角色。到目前为止,还没有可行的替代油箱柴油提供的范围,舒适性和安全性。这项研究提出的问题是,能否将运输、储存和消除帆船闭环中的临界多余能量完全整合在一起,从而提高舒适性、安全性、航程和速度?本文利用智能能源系统方法,并基于现有技术,包括螺旋桨。然而,它将一种新的方法应用于传动系统的设计和操作,作为建模能源性能的基础。在我们的模型中,风能是通过水力发电转化为电能的主要能源;与现有系统的不同之处在于,它能够在集成的智能能源系统中充分管理关键的过剩能源。能源管理由一种名为“充电有效”(Charge Made Good, CMG)的新型性能算法进行,该算法允许船舶在旅程结束时预测电池状态,并根据预测方差在间歇性能源生产期间保持这一预测。该模型表明,在直接驱动和电动混合动力系统中,用于安全性和续航里程的化石燃料可以被淘汰,使用智能能源系统方法可以提高舒适性水平,提高安全系数。这是第一个针对零排放休闲船的安全性和舒适性的学术研究,而不是技术上但不可用/不经济的解决方案。
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来源期刊
Smart Energy
Smart Energy Engineering-Mechanical Engineering
CiteScore
9.20
自引率
0.00%
发文量
29
审稿时长
73 days
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