从风力条件到运行策略:风力涡轮机寿命期内损害进展的优化规划

IF 3.6 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY Wind Energy Science Pub Date : 2023-11-20 DOI:10.5194/wes-8-1727-2023
Niklas Requate, Tobias Meyer, René Hofmann
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引用次数: 0

摘要

摘要可再生能源的成本结构与化石燃料发电完全不同。这主要是由于可再生能源的运行边际成本为零,而化石燃料发电厂的燃料本身是整个能源成本的主要驱动因素。对于风力涡轮机来说,大部分材料和资源都是先期投入的。在其使用寿命期间,这些初始资本和材料投资将转化为可用能源。因此,我们希望在每台涡轮机的整个运行寿命期间,都能从所使用的材料中获得最大收益。材料的使用与各个涡轮机部件的损坏程度及其各自的失效模式密切相关。在这项工作中,我们提出了一种新方法,用于优化风能系统在整个生命周期内的长期运行规划。该方法基于一个数学优化问题的设置过程,可在整个生命周期内优化分配特定故障模式的可用损坏预算。整个过程包括从风力涡轮机实时控制的调整到长期目标和要求的评估。在这一过程中,相关的确定性外部条件和实时控制器设定点对损害的进展有着同等重要的影响。最后,根据经济评估选择最佳规划策略。该方法被应用于一个实例进行演示。它显示了该方法在不同使用情况下有效减少损坏的巨大潜力。示例的重点是在邻近涡轮机的尾流引起高负荷的情况下,有效降低涡轮机的功率。通过优化方法,可以节省损害预算或将其用于长期回报最大的情况。这样,就有可能从给定的系统中获得更多能量,从而通过更好地使用材料来降低成本和对生态的影响。
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From wind conditions to operational strategy: optimal planning of wind turbine damage progression over its lifetime
Abstract. Renewable energies have an entirely different cost structure than fossil-fuel-based electricity generation. This is mainly due to the operation at zero marginal cost, whereas for fossil fuel plants the fuel itself is a major driver of the entire cost of energy. For a wind turbine, most of the materials and resources are spent up front. Over its lifetime, this initial capital and material investment is converted into usable energy. Therefore, it is desirable to gain the maximum benefit from the utilized materials for each individual turbine over its entire operating lifetime. Material usage is closely linked to individual damage progression of various turbine components and their respective failure modes. In this work, we present a novel approach for an optimal long-term planning of the operation of wind energy systems over their entire lifetime. It is based on a process for setting up a mathematical optimization problem that optimally distributes the available damage budget of a given failure mode over the entire lifetime. The complete process ranges from an adaptation of real-time wind turbine control to the evaluation of long-term goals and requirements. During this process, relevant deterministic external conditions and real-time controller setpoints influence the damage progression with equal importance. Finally, the selection of optimal planning strategies is based on an economic evaluation. The method is applied to an example for demonstration. It shows the high potential of the approach for an effective damage reduction in different use cases. The focus of the example is to effectively reduce power of a turbine under conditions where high loads are induced from wake-induced turbulence of neighbouring turbines. Through the optimization approach, the damage budget can be saved or spent under conditions where it pays off most in the long term. This way, it is possible to gain more energy from a given system and thus to reduce cost and ecological impact by a better usage of materials.
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来源期刊
Wind Energy Science
Wind Energy Science GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
6.90
自引率
27.50%
发文量
115
审稿时长
28 weeks
期刊最新文献
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