设计负载案例生成器的beta版本测试和演示

Vincent Neary, Seong-Ro Ahn, C. Michelen, Ryan Coe, Graham Penrose, M. Bruggemann, Johannes Spinneken
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引用次数: 0

摘要

海洋能源系统,包括波浪和电流能量转换器的设计、类型分类和核证的国际标准对这些技术的商业化是必不可少的,但遵守这些标准需要项目开发人员作出重大努力和投入大量资源;例如,寻找适当的气象-海洋数据集,处理和分析这些数据,以估计设计负载条件,设计类型-等级和负载响应。在此,我们通过开发、beta测试和演示基于web的工具“设计负载案例(DLC)生成器”来解决这些挑战。该工具集成了大量数据搜索,处理和统计工具,以简化设计负载条件的分析,并确定国际电工委员会(IEC) 62600-2设计标准中的设计负载要求。在PacWave South试验场的参考模型3 (RM3)点吸收器的测试DLC分析案例中进行了演示。这个测试用例强调了确定设计负载需求的一些挑战,以及在单个基于web的平台中促进复杂工作流的好处,该平台利用了各种数据处理和统计工具。DLC生成器促进和简化了DLC分析,为复杂工作流程中的各种任务节省了大量时间和成本,包括现场数据搜索和检索,数据质量控制,极值统计分析以及动态负载响应模型输入和输出的存档。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Beta-version Testing and Demonstration of the Design Load Case Generator
International standards for the design, type-classification and certification of marine energy systems, including wave and current energy converters, are essential for the commercialization of these technologies, but their compliance requires significant effort and resources by project developers; e.g., finding the appropriate met-ocean datasets, processing and analysing this data to estimate the design load conditions, design type-class and load response. Herein we present efforts to address these challenges by developing, beta-testing and demonstrating a web-based tool, the “Design Load Case (DLC) Generator.” This tool integrates a host of data search, processing and statistical tools to streamline the analysis of design load conditions and to determine the design load requirements as in the International Electrotechnical Commission (IEC) 62600-2 design standard. It is demonstrated for a test DLC analysis case for the Reference Model 3 (RM3) point absorber at the PacWave South test site. This test case highlights some of the challenges determining design load requirements and the benefits of facilitating a complex workflow within a single web-based platform that leverages a diverse set of data processing and statistical tools. The DLC Generator facilitates and streamlines DLC analyses for significant time and cost savings on a variety of tasks in a complex workflow, including site data search and retrieval, data quality control, extreme value statistical analyses, and archiving of dynamic load response model inputs and outputs.
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