Utility-scale lithium-ion storage cost projections for use in capacity expansion models

W. Cole, Cara Marcy, V. Krishnan, R. Margolis
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引用次数: 68

Abstract

This work presents U.S. utility-scale battery storage cost projections for use in capacity expansion models. We create battery cost projections based on a survey of literature cost projections of battery packs and balance of system costs, with a focus on lithium-ion batteries. Low, mid, and high cost trajectories are created for the overnight capital costs and the operating and maintenance costs. We then demonstrate the impact of these cost projections in the Regional Energy Deployment System (ReEDS) capacity expansion model. We find that under reference scenario conditions, lower battery costs can lead to increased penetration of variable renewable energy, with solar photovoltaics (PV) seeing the largest increase. We also find that additional storage can reduce renewable energy curtailment, although that comes at the expense of additional storage losses.
用于产能扩张模型的公用事业规模锂离子存储成本预测
这项工作提出了美国公用事业规模的电池存储成本预测,用于容量扩张模型。我们基于对电池组成本预测和系统成本平衡的文献调查,以锂离子电池为重点,创建了电池成本预测。低成本、中成本和高成本轨迹是为隔夜资本成本以及运营和维护成本创建的。然后,我们在区域能源部署系统(ReEDS)容量扩展模型中展示了这些成本预测的影响。我们发现,在参考情景条件下,较低的电池成本可以导致可变可再生能源的渗透率增加,其中太阳能光伏(PV)的增幅最大。我们还发现,额外的存储可以减少可再生能源的弃电,尽管这是以额外的存储损失为代价的。
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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