可靠性对兆瓦级远海风力发电机运行性能和能源评估成本的影响

C. Dao, B. Kazemtabrizi, C. Crabtree
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引用次数: 3

摘要

风能正在世界范围内快速发展。根据“欧洲风能”发布的一份报告,2017年欧盟55%的电力装机容量来自风能。在这种情况下,海上风电发挥着决定性的作用,英国等国家在欧洲和世界范围内引领着大型海上风电项目的发展。至关重要的是,海上风能的能源成本保持与其他能源的竞争力,以鼓励对海上风能开发的进一步投资。维持和进一步降低海上风能成本的一种方法是通过提高海上风力涡轮机的兆瓦级额定值来利用规模经济。另一方面,涡轮机的运行费用也可以大大减少。在本文中,我们提出了一种新的集成运行仿真框架,用于评估适用于远海风电场的多兆瓦级直接驱动风力发电机的性能。运行模拟考虑了几个重要的风力涡轮机数据,如组件可靠性,即每次故障的故障率和停机时间,历史风速,涡轮机信息和每次故障的维修成本,以估计风力涡轮机在其整个生命周期中的运行和经济性能。在所提出的运行仿真中,将组件可靠性模型和风力发电模型耦合在一起,使用时序蒙特卡罗仿真来模拟风力涡轮机的整个生命周期运行。由于大型海上风力发电机的可靠性数据稀缺或仅限于直接利益相关者,因此本文对基于不同可靠性水平的风力发电机的一系列运行曲线进行了模拟。此外,涡轮机的经济性能是通过定义一个指标来衡量的平准化能源成本作为组件可靠性的函数。这样,在输入可靠性数据发生变化的情况下,可以估计出风力机的可靠性、输出功率、故障成本和能源平准化成本。本文的研究结果可以为基于部件可靠性的风力机性能提供依据,并为未来远海风力机的关键部件识别和经济评估提供有用的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impacts of Reliability on Operational Performance and Cost of Energy Evaluation of Multi-Megawatt, Far-Offshore Wind Turbines
Wind energy is growing at a fast pace around the world. According to a report published by WindEurope, 55% of total power capacity installations in the EU came from wind in 2017. In this context, offshore wind plays a decisive role, with countries such as the UK leading the development of large-scale offshore wind projects within Europe and around the world. It is essential that the cost of energy from offshore wind remains competitive with other sources of energy to encourage further investment in offshore wind developments. One way to maintain and further reduce the cost of offshore wind energy is to take advantage of economies of scale by increasing the megawatt ratings of offshore wind turbines. On the other hand, the operational expenditure of the turbines could also be reduced significantly. In this paper, we present a new integrated operation simulation framework for performance evaluation of multi-megawatt direct drive wind turbines suitable for use in far offshore wind farms. The operation simulation considers several essential wind turbine data such as component reliability, i.e. failure rates and downtimes per failure, historical wind speed, turbine information, and repair cost per failure to estimate the operational and economic performance of the wind turbine in its entire lifetime. In the proposed operation simulation, component reliability models and a wind power model are coupled together to simulate wind turbine operation over its entire lifetime using a time-sequential Monte Carlo simulation. Since the reliability data for large-scale offshore wind turbines are scarce and/or restricted to only direct stakeholders, a range of operational profiles for the turbines based on different level of reliability are simulated. In addition, the economic performance of the turbine is measured by defining an index for levelised cost of energy as a function of component reliability. In this way, the wind turbine reliability, power output, failure cost and levelised cost of energy are estimated under the variation of input reliability data. The results of this paper can inform wind turbine performance depending on the reliability of its components, and provide useful information for critical components identification and economic assessment of future far offshore wind turbines.
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