Data driven multi-objective optimization of the scheduling for towing a floating offshore wind turbine between assembly port and installation location throughout a year

IF 4.3 2区 工程技术 Q1 ENGINEERING, OCEAN
Frédéric Le Pivert , Adam Roberts , Adán López-Santander , Matthew J. Craven , Saeid Kazemi
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引用次数: 0

Abstract

High demand for the installation of floating offshore wind turbines over the coming years is likely to place significant pressure on ports and installation vessels. Optimization of the routes between ports and farms and the towing schedule when transporting equipment is therefore critical to reducing operation timescales and carbon emissions. This paper presents two series of multi-objective optimizations for minimizing the timescale and carbon emissions for the case of an IEA 15 MW turbine on a VolturnUS-S platform being wet towed through the English Channel to the Celtic Sea. The study makes use of the Maritime Simulation Laboratory (MSL) Ship Simulator to develop an empirical model of the floating offshore wind turbine being towed under different wind conditions. This is then combined with bathymetry data and historical metocean data from the year 2021 to perform the optimizations. The optimization results are used to feed a second optimization that creates a schedule reducing both emissions and cumulated towing time during a whole year for different number of floating offshore wind turbines.
基于数据驱动的海上浮式风力机装配港至安装地点全年拖曳调度多目标优化
未来几年,对安装浮动海上风力涡轮机的高需求可能会给港口和安装船带来巨大压力。因此,优化港口和农场之间的路线以及运输设备时的拖曳时间表对于减少作业时间和碳排放至关重要。本文提出了两个系列的多目标优化,以最小化时间尺度和碳排放,以VolturnUS-S平台上的IEA 15mw涡轮机通过英吉利海峡拖到凯尔特海为例。本研究利用海上模拟实验室(MSL)船舶模拟器,建立了浮动式海上风力机在不同风况下被拖曳的经验模型。然后将其与2021年的测深数据和历史海洋数据相结合,进行优化。优化结果用于提供第二个优化,该优化创建了一个时间表,减少了不同数量的浮动海上风力涡轮机全年的排放和累积拖曳时间。
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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来源期刊
Applied Ocean Research
Applied Ocean Research 地学-工程:大洋
CiteScore
8.70
自引率
7.00%
发文量
316
审稿时长
59 days
期刊介绍: The aim of Applied Ocean Research is to encourage the submission of papers that advance the state of knowledge in a range of topics relevant to ocean engineering.
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