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Parametric CAPEX, OPEX, and LCOE expressions for offshore wind farms based on global deployment parameters

机译:基于全球部署参数的海上风电场的参数化CAPEX,OPEX和LCOE表达式

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摘要

Installed wind energy capacity has been rapidly increasing over the last decade, with deployments in deeper waters and further offshore, with higher turbine ratings within new farms. Understanding the impact of different deployment factors on the overall cost of wind farms is pertinent toward benchmarking the potential of different investment decision alternatives. In this article, a set of parametric expressions for capital expenditure, operational expenditure, and levelized cost of energy are developed as a function of wind turbine capacity. These expressions have been developed through a series of simulations based on a fully integrated, tested cost model which are then generalized through the application of appropriate nonlinear regression equations for a typical offshore wind farm investment and taking into account most current published cost figures. The effectiveness of the models are countersigned through a series of cases, estimating the predicted values with a maximum error of 3.3%. These expressions will be particularly useful for the preliminary assessment of available deployment sites, offering cost estimates based on global decision variables.
机译:在过去十年中,风能装机容量迅速增加,部署在更深的水域和更远的海上,新农场的涡轮机等级更高。了解不同部署因素对风电场总成本的影响与基准化不同投资决策备选方案的潜力有关。在本文中,开发了一组资本支出,运营支出和能源平均成本的参数表达式,作为风力发电机容量的函数。这些表达式是通过基于完全集成的,经过测试的成本模型进行的一系列模拟得出的,然后通过对典型的海上风电场投资应用适当的非线性回归方程,并考虑到最新公布的成本数据,对其进行概括。通过一系列案例对模型的有效性进行签名,以最大3.3%的误差估计预测值。这些表达式对于可用部署站点的初步评估特别有用,它可以基于全局决策变量提供成本估算。

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