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风电变流技术 ★ 5.0

用于海上风电与波浪能联合选址的多准则决策工具开发

Development of a multi-criteria decision-making tool for combined offshore wind and wave energy site selection

作者 Ajab Gul Majidi · Victor Ramos · Paulo Rosa Santos · Adem Akpinar · Lucianadas Neves · Francisco Taveira Pinto
期刊 Applied Energy
出版日期 2025年1月
卷/期 第 384 卷
技术分类 风电变流技术
相关度评分 ★★★★★ 5.0 / 5.0
关键词 BWM and AHP methods are used to objectively rank sites based on multiple criteria.
语言:

中文摘要

摘要 海上风能与波浪能的联合开发具有多项优势,包括提高并稳定电力输出,以及共享基础设施和运维成本,从而增强经济可行性和运行效率。然而,集成型风-浪能电站的最优选址是一项复杂的任务,涉及多种因素,如资源可获得性与互补性、极端条件下技术设备的生存能力、运维作业的物流条件(气象作业时间窗口、距电网连接点和港口的距离)以及 seabed 特征(水深、坡度和地质条件)。基于上述背景,本文提出了复合适宜性指数(Composite Suitability Index, CSI),这是一种新颖的多准则决策(MCDM)框架,专门用于集成型风-浪能电站的最优选址。CSI 引入了若干新的决策因子,包括风能与波浪能资源的变异性与互补性,以及运维作业的时间性气象窗口。以葡萄牙本土海岸为案例研究区域,验证了该工具的适用性与有效性。结果表明,CSI 能够有效识别适用于海上风能-波浪能集成开发的最优场址。这一结论通过与葡萄牙政府划定的海洋可再生能源特许开发区高度一致而得到验证。此外,方法中融入的热点分析可提供详细的空间评估结果,识别出高潜力、中等潜力和低潜力区域,同时排除存在环境或物流限制的区域。综上所述,本研究提出了一种针对集成型海上风-浪能电站的稳健选址工具,具有广泛的全球沿海地区适用性。

English Abstract

Abstract The combined exploitation of offshore wind and wave energy offers several advantages, including increased and more stable power output, as well as shared infrastructure and maintenance costs, enhancing both economic feasibility and operational efficiency. However, optimal site selection for integrated wind-wave farms is a complex task, involving various factors, such as resource availability and complementarity, technology survivability in extreme conditions, logistics for operation and maintenance tasks (temporal weather windows, proximity to grid connections and ports), and seabed characteristics (depth, slope, and geology). On these grounds, this paper introduces the Composite Suitability Index (CSI), a novel Multi-criteria Decision-making ( MCDM ) framework specifically designed for the optimal site selection of integrated wind-wave energy farms. The CSI incorporates novel decision factors, including wind and wave resource variability and complementarity as well as temporal weather windows for operation and maintenance tasks. The coast of mainland Portugal is used as a case study to demonstrate the applicability and validity of the tool. The results highlight that the CSI effectively identifies optimal sites for offshore wind - wave energy integration. These findings are validated by their alignment with the concession zones designated by the Portuguese government for the exploitation of marine renewable energy. Furthermore, the hot spot analysis incorporated into the methodology provides detailed spatial assessments, identifying high, moderate, and low potential areas while excluding those with environmental or logistical constraints. In sum, this study provides a robust site-selection tool for integrated offshore wind-wave farms, with broad applicability to coastal regions worldwide.
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SunView 深度解读

该风波联合选址决策工具对阳光电源海上新能源布局具有重要参考价值。其多维度评估框架(资源互补性、运维时间窗口、电网接入)与我司PowerTitan储能系统的海上应用场景高度契合,可优化ST系列PCS在风波互补电站的配置策略。文中提出的资源波动性分析方法可增强iSolarCloud平台的预测性运维能力,通过GFM控制技术平抑风波功率波动,提升并网稳定性。该选址工具可指导我司海上储能系统与风波电站的协同规划,降低共享基础设施成本,为拓展海洋可再生能源市场提供技术支撑。