E3S Web Conf.
Volume 338, 20227th International Conference on Environmental Science and Material Application (ESMA 2021)
|Number of page(s)||5|
|Published online||20 January 2022|
Construction of a new levelled cost model for energy storage based on LCOE and learning curve
1 State Grid Henan Electric Power Company Economic and Technical Research Institute Zhengzhou, China
2 Henan University of Economics and Law Zhengzhou, China
New energy storage is essential to the realization of the “dual carbon” goal and the new power system with new energy as the main body, but its cost is relatively high and the economy is poor at present. This paper studies the levelized cost of new energy storage based on the whole life cycle perspective. Based on LCOE and learning curve methods, a new levelled cost estimation model and prediction model for energy storage are constructed. Based on the latest development status of electrochemical new energy storage, the levelized cost of energy of lithium-ion batteries, flow-aluminum batteries, and flow-zinc batteries were measured, the cost composition and proportion of various types of energy storage are analyzed, and on this basis, the levelized cost of lithium-ion batteries was predicted. Comparative analysis shows that the levelized cost per kilowatt-hour of lithium-ion batteries is the lowest. This article provides a certain reference for the construction and layout of energy storage on three sides of the source network and load.
Key words: New energy storage / levelized cost model / cost forecast model / LCOE / learning curve
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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