Levelized Cost of Energy Assessment for Offshore Wind Farms–An Examination of Different Methodologies, Input Variables, and Uncertainty

IF 1.8 Q2 ENGINEERING, MULTIDISCIPLINARY
F. D. McAuliffe, Miriam Noonan, Jimmy Murphy
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引用次数: 3

Abstract

Levelised Cost of Energy (LCoE) is the most common metric used in renewable energy assessments. However, this can be a very complex calculation with numerous methodologies depending on the perspective taken. Inputs including costs, energy production are generally forecasts and predictions based on publicly available information; therefore they are key areas of uncertainty. Elements of the calculation are site or region specific such as the tax rate or inclusion of grid connection costs. The business case and financial assumptions applied will be very project specific e.g. the discount rate applied. These numerous variables and uncertainties must be fully understood in order to effectively apply the metric or review and compare LCoEs. Therefore, this paper provides a comprehensive set of LCoE methodologies that provide a reference basis for researchers. A case study demonstrates the application of these methods and the variation in results illustrates the importance of correctly selecting the discount rate and cash flow based on the perspective and motivation of the user. Sensitivity studies further investigates the potential impact of key variables and areas of uncertainty on results. Analysis indicates that the energy production and discount rate applied will have the most significant impact on LCoE, followed by CAPEX costs. While the key areas of uncertainties cannot necessarily be solved, this paper promotes consistency in the application and understanding of the metric, which can help overcome its limitations.
海上风电场的平准化能源成本评估——不同方法、输入变量和不确定性的检验
平准化能源成本(LCoE)是可再生能源评估中最常用的指标。然而,这可能是一个非常复杂的计算,根据所采取的视角,有许多方法。包括成本、能源生产在内的投入通常是基于公开信息的预测和预测;因此,它们是不确定的关键领域。计算的要素是具体的地点或地区,如税率或包括电网连接成本。所应用的商业案例和财务假设将是非常具体的项目,例如所应用的贴现率。为了有效地应用度量或审查和比较lcoe,必须充分理解这些众多的变量和不确定性。因此,本文提供了一套全面的LCoE方法,为研究者提供参考依据。一个案例研究展示了这些方法的应用,结果的变化说明了根据用户的观点和动机正确选择贴现率和现金流量的重要性。敏感性研究进一步调查关键变量和不确定区域对结果的潜在影响。分析表明,能源生产和贴现率对LCoE的影响最大,其次是资本支出成本。虽然不确定性的关键领域不一定能得到解决,但本文促进了对度量的应用和理解的一致性,这有助于克服其局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.20
自引率
13.60%
发文量
34
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