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Calculation of levelized costs of electricity for various electrical energy storage systems

机译:计算各种电能存储系统的平均电费

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摘要

Installed capacity of renewable energy resources has increased dramatically in recent years, particularly for wind and photovoltaic solar. Concurrently, the costs of utility-scale electrical energy storage options have been decreasing, making inevitable a crossing point at which it will become economically viable to couple renewable energy generation with utility-scale storage systems. This paper proposes a methodology for calculating Levelized Cost of Electricity (LCOE) for utility-scale storage systems, with the intent of providing engineers, financiers and policy makers the means by which to evaluate disparate storage systems using a common economic metric. We discuss the variables influencing LCOE in detail, particularly those pertinent to electrical energy storage systems. We present results of LCOE calculations for various storage systems, specifically pumped hydro, compressed air, and chemical batteries, which we then compare with a more traditional arbitrage option, the simple-cycle combustion turbine. Federal and State government electrical energy storage tax incentives are considered as well. We also analyze the sensitivities of LCOE to several key variables using Monte Carlo analysis. Considering the downward-sloping cost trends of storage systems and the increased penetration levels of stochastic and non-dispatchable renewable resources, large-scale storage is becoming a significant issue for utilities, thus justifying the development of a levelized costing algorithm. (C) 2016 Elsevier Ltd. All rights reserved.
机译:近年来,可再生能源的装机容量急剧增加,尤其是风能和光伏太阳能。同时,公用事业规模的电能存储选项的成本一直在降低,这不可避免地成为一个交叉点,在该交叉点将可再生能源发电与公用事业规模的存储系统耦合起来在经济上是可行的。本文提出了一种计算公用事业规模存储系统的平均电费(LCOE)的方法,旨在为工程师,金融家和政策制定者提供一种使用通用经济指标评估不同存储系统的方法。我们将详细讨论影响LCOE的变量,尤其是与电能存储系统相关的变量。我们介绍了各种存储系统的LCOE计算结果,特别是抽水,压缩空气和化学电池,然后将其与更传统的套利选择即简单循环燃气轮机进行比较。还考虑了联邦和州政府的电能存储税收优惠政策。我们还使用蒙特卡洛分析法分析了LCOE对几个关键变量的敏感性。考虑到存储系统成本趋势的向下倾斜以及随机和不可分配的可再生资源的普及程度的提高,大规模存储已成为公用事业的重要问题,因此有必要开发一种分层成本核算算法。 (C)2016 Elsevier Ltd.保留所有权利。

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