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基于对象层级的储能研究文献分析
引用本文:林旗力, 梅程烨, 陈珍, 戚宏勋, 肖振坤. 基于对象层级的储能研究文献分析[J]. 南方能源建设, 2023, 10(6): 170-176. doi: 10.16516/j.gedi.issn2095-8676.2023.06.020
作者姓名:林旗力  梅程烨  陈珍  戚宏勋  肖振坤
作者单位:1.中国电力工程顾问集团有限公司 中电储能工程技术研究院, 上海 200333;;2.浙江大学 工程师学院, 浙江 杭州 310058
基金项目:中国能源建设股份有限公司重点研发项目“新型物理储能技术研究”(CEEC2022-ZDYF-06)
摘    要: 目的  随着储能技术的发展,技术方案和应用场景愈加复杂。针对储能研究,基于技术路线的常规分类方法在某些情况下存在一定局限性。 方法  提出了一种基于对象层级的储能研究分类方法:按照研究对象从微观到宏观的层级顺序,将储能研究依次分为材料级、器件设备级、系统电站级、电力系统级。应用该方法对由CNKI检索得到的储能研究类期刊文献(共5 397篇)进行了定量分析。 结果  结果表明,2022年文献中电力系统级研究文献数量明显多于其他类型研究,2001~2022年被引次数前200位文献中电力系统级研究文献的数量和累计被引次数占绝对优势。2010年以前材料级和器件设备级研究文献占比较高,从2010年开始系统电站级和电力系统级研究文献比例逐渐增加,其中电力系统级研究文献增速较明显。2011~2022年新型储能年新增装机容量与文献数量之间呈正相关。由于系统电站级研究通常是直接面向实际工程的,该类文献数量与新增装机规模的相关程度最高。 结论  文章为总结储能研究成果提供了一种新思路,可为行业政策制定、产业链布局等工作提供支撑。

关 键 词:储能研究   分类方法   对象层级   定量分析   CNKI(中国知网)
收稿时间:2023-05-17
修稿时间:2023-06-19

Literature Analysis of Energy Storage Research Based on Object Hierarchy
LIN Qili, MEI Chengye, CHEN Zhen, QI Hongxun, XIAO Zhenkun. Literature Analysis of Energy Storage Research Based on Object Hierarchy[J]. SOUTHERN ENERGY CONSTRUCTION, 2023, 10(6): 170-176. doi: 10.16516/j.gedi.issn2095-8676.2023.06.020
Authors:LIN Qili  MEI Chengye  CHEN Zhen  QI Hongxun  XIAO Zhenkun
Affiliation:1. China Power Engineering Consulting Group Corporation CEC Energy Storage Engineering Technology Research Institute, Shanghai 200333, China;;2. Polytechnic Institute of Zhejiang University, Hangzhou 310058, Zhejiang, China
Abstract:Introduction With the development of energy storage technology, technical schemes and application scenarios become more and more complex. For energy storage research, the conventional classification method based on technical route has certain limitations in some cases. Method A classification method of energy storage research based on object hierarchy was proposed: according to the hierarchy order of objects from micro to macro, energy storage researches were divided into material-level, device-level, system & power plant-level and power system-level. This method was applied to the quantitative analysis of 5 397 articles published in journals of energy storage research retrieved by CNKI. Result The results show that the number of power system-level research literatures in 2022 is obviously more than other types of literatures, and the number and cumulative citation times of power system-level research literatures in the top 200 literatures cited from 2001 to 2022 are absolutely superior. Before 2010, material-level and device-level research literatures account for a relatively high proportion. Since 2010, the proportion of system & power plant-level and power system-level research literatures has gradually increased, and the growth rate of power system-level research literatures is more obvious. The newly installed capacity of new energy storage from 2011 to 2022 is positively correlated with the number of literatures. Since the system & power plant-level research often directly focuses on actual projects, the number of such literatures is most closely related to the newly installed capacity. Conclusion A new way to summarize the research results of energy storage is provided, which could provide support for industrial policy formulation, industrial chain layout and other work.
Keywords:energy storage research  classification method  object hierarchy  quantitative analysis  CNKI
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