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VALUE-CENTRIC APPROACHES TO DESIGN, OPERATIONS, AND MAINTENANCE OF WIND TURBINES

机译:风轮机的设计,操作和维护的价值中心方法

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Wind turbine maintenance is emerging as an unexpectedly high component of turbine operating cost and there is an increasing interest in managing this cost. Here, we present an alternative view of maintenance as a value-driver, and develop an optimization algorithm to maximize the value delivered by maintenance. We model the stochastic deterioration of the turbine in two dimensions: the deterioration rate, and the extent of deterioration, and view maintenance as an operator that moves the turbine to an improved state in which it can generate more power and so earn more revenue. We then use a standard net present value (NPV) approach to calculate the value of the turbine by deducting the costs incurred in the installation, operations and maintenance from the revenue due to the power generation. The application of our model is demonstrated using several scenarios with a focus on blade deterioration. We evaluate the value delivered by implementing blade condition monitoring systems (CMS). A higher fidelity CMS allows the blade state to be determined with higher precision. With this improved state information, an optimal maintenance strategy can be derived. The difference between the value of the turbine with and without CMS can be interpreted as the value of the CMS. The results indicate that a higher fidelity (and more expensive) condition monitoring system (CMS) does not necessarily yield the highest value, and, that there is an optimal level of fidelity that results in maximum value. The contributions of this work are twofold. First, it is a practical approach to wind turbine valuation and operation that takes operating and market conditions into account. This work should therefore be useful to wind farm operators and investors. Second, it shows how the value of a CMS can be explicitly assessed. This work should therefore be useful to CMS manufacturers and wind farm operators.
机译:风力涡轮机维护正成为涡轮机运行成本中出乎意料的高成本,并且越来越有兴趣管理此成本。在这里,我们提出了维护作为价值驱动因素的另一种观点,并开发了一种优化算法来最大化维护带来的价值。我们从两个方面对涡轮机的随机退化进行建模:退化率和退化程度,并将维护工作视为将涡轮机移至可产生更多电力并因此获得更多收益的改进状态的操作员。然后,我们使用标准净现值(NPV)方法通过从发电收入中扣除安装,运行和维护中产生的成本来计算涡轮机的价值。我们的模型的应用已通过几种方案进行了演示,重点是叶片的退化。我们通过实施刀片状态监控系统(CMS)评估交付的价值。保真度更高的CMS可以更高精度地确定刀片状态。利用这种改进的状态信息,可以得出最佳的维护策略。带和不带CMS的涡轮机值之间的差异可以解释为CMS的值。结果表明,较高保真度(和更昂贵)的状态监视系统(CMS)不一定会产生最高价值,并且存在导致最高价值的最佳保真度水平。这项工作的贡献是双重的。首先,这是一种考虑到运营和市场条件的风力涡轮机评估和运营的实用方法。因此,这项工作对风电场运营商和投资者应该是有用的。其次,它显示了如何明确评估CMS的价值。因此,这项工作对CMS制造商和风电场运营商应该是有用的。

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