考虑电力平准化成本和大型电池储能的未来电价发展分析与建模

S. Baum, C. von Kalben, A. Maas, I. Stadler
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引用次数: 8

摘要

本文通过考虑电力平准化成本(LCOE)对电价的未来发展进行了分析。基于学习曲线,可再生能源和电池存储的未来投资成本可以建模。采用年金法,考虑预测的未来燃料和二氧化碳证书成本,计算了被调查电厂和储能系统2017年、2030年和2050年的LCOE。考虑到德国发电厂的可能发展,这些LCOE被转换为功绩订单。结果表明,在2030年和2050年,可再生能源将在LCOE分类的优点顺序中领先于传统发电厂。分析还表明,与光伏或陆上风力涡轮机发电相结合的平准化储能成本(LCOS)比燃煤电厂的生产成本更低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis and Modelling of the Future Electricity Price Development by taking the Levelized Cost of Electricity and large Battery Storages into Account
This paper deals with an analysis of the future development of electricity prices by taking the levelized costs of electricity (LCOE) into account. Based on learning curves the amount of future investment costs for renewable energy and a battery storage can be modelled. Using the annuity method by considering forecasted future fuel and CO2 certificate costs, the LCOE for the investigated power plants and storage is calculated for the years 2017, 2030 and 2050. These LCOE are converted into a merit order by taking a possible development of the German power plants into account. The results show that renewable energy will be ahead of conventional power plants in a merit order classified by the LCOE in the years 2030 and 2050. The analysis also shows that the levelized costs of storage (LCOS) in combination with electricity generated by PV or onshore wind turbines is cheaper than the production in a coal-fired power plant.
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