Levelized Net Present Value of Electricity Analysis of Frame Gravity Energy Storage System

XU Zhiqiang; LI Jun; ZHANG Chunlin; HONG Jianfeng

doi:10.16516/j.ceec.2024-140

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Levelized Net Present Value of Electricity Analysis of Frame Gravity Energy Storage System

更新时间：2025-10-22

- Levelized Net Present Value of Electricity Analysis of Frame Gravity Energy Storage System
- Southern Energy Construction Vol. 12, Issue 5, Pages: 48-57(2025)
- 作者机构：
  
  1. 中能建数字科技集团有限公司,北京,100022
  2. 北京交通大学电气工程学院,北京,100044
- 作者简介：
- 基金信息：
- DOI：10.16516/j.ceec.2024-140
  CLC： TK02;TM619
- Published：2025
- 稿件说明：
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徐志强, 李峻, 张春琳, 等. 框架式重力储能度电化净现值分析[J]. 南方能源建设, 2025, 12(5): 48-57.

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徐志强, 李峻, 张春琳, 等. 框架式重力储能度电化净现值分析[J]. 南方能源建设, 2025, 12(5): 48-57. DOI： 10.16516/j.ceec.2024-140.

. DOI： 10.16516/j.ceec.2024-140.

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LU J. Revenue from distributed energy storage systems will reach $16.5 billion in 2024 [J]. Electric power, 2015, 48(9): 23.

卢静. 2024年分布式储能系统收益将达到165亿美元 [J]. 中国电力, 2015, 48(9): 23.

HE W H, LI D W, YANG D J, et al. Research and development of novel gravity energy storage technologies [J]. Physical experiment of college, 2022, 35(5): 1-7. DOI: 10.14139/j.cnki.cn22-1228.2022.05.001.

赫文豪, 李懂文, 杨东杰, 等. 新型重力储能技术研究现状与发展趋势 [J]. 大学物理实验, 2022, 35(5): 1-7. DOI: 10.14139/j.cnki.cn22-1228.2022.05.001.

WANG S, XIAO L Y, TANG W B, et al. Review of new gravity energy storage [J]. Energy storage science and technology, 2022, 11(5): 1575-1582. DOI: 10.19799/j.cnki.2095-4239.2021.0590.

王粟, 肖立业, 唐文冰, 等. 新型重力储能研究综述 [J]. 储能科学与技术, 2022, 11(5): 1575-1582. DOI: 10.19799/j.cnki.2095-4239.2021.0590.

WEN J, LIU N, PEI J, et al. Life cycle cost analysis for energy storage technology [J]. Thermal power generation, 2021, 50(8): 24-29. DOI: 10.19666/j.rlfd.202105094.

文军, 刘楠, 裴杰, 等. 储能技术全生命周期度电成本分析 [J]. 热力发电, 2021, 50(8): 24-29. DOI: 10.19666/j.rlfd.202105094.

LIU X H, YUAN K, BAI Y K, et al. Economic analysis of frame gravity energy storage system [J]. Distributed energy, 2023, 8(3): 47-53. DOI: 10.16513/j.2096-2185.DE.2308307.

刘晓辉, 袁康, 白亚奎, 等. 框架式重力储能系统经济性分析 [J]. 分布式能源, 2023, 8(3): 47-53. DOI: 10.16513/j.2096-2185.DE.2308307.

MUGYEMA M, BOTHA C D, KAMPER M J, et al. Levelised cost of storage comparison of energy storage systems for use in primary response application [J]. Journal of energy storage, 2023, 59: 106573. DOI: 10.1016/j.est.2022.106573.

MOAZZAMI M, MORADI J, SHAHINZADEH H, et al. Optimal economic operation of microgrids integrating wind farms and advanced rail energy storage system [J]. International journal of renewable energy research, 2018, 8(2): 1155-1164. DOI: 10.20508/ijrer.v8i2.7056.g7401.

BERRADA A, EMRANI A, AMEUR A. Life-cycle assessment of gravity energy storage systems for large-scale application [J]. Journal of energy storage, 2021, 40: 102825. DOI: 10.1016/j.est.2021.102825.

HE Y Y, CHEN Y C, LIU Y, et al. Analysis of cost per kilowatt-hour and cost per mileage for energy storage technologies [J]. Advanced technology of electrical engineering and energy, 2019, 38(9): 1-10. DOI: 10.12067/ATEEE1907045.

何颖源, 陈永翀, 刘勇, 等. 储能的度电成本和里程成本分析 [J]. 电工电能新技术, 2019, 38(9): 1-10. DOI: 10.12067/ATEEE1907045.

ZHU Q, SHEN C S, LI M Z, et al. Research on configuration and revenue model of large centralized wind energy storage system [J]. Electric engineering, 2022(17): 4-8. DOI: 10.19768/j.cnki.dgjs.2022.17.002.

祝青, 沈晨姝, 李木子, 等. 大型集中式风电储能系统的配置及收益模式研究 [J]. 电工技术, 2022(17): 4-8. DOI: 10.19768/j.cnki.dgjs.2022.17.002.

LING W S, LIU G, HOU Y. Economic income analysis of industrial user's configuring energy storage system [J]. Distribution utilization, 2019, 36(8): 54-60. DOI: 10.19421/j.cnki.1006-6357.2019.08.009.

凌万水, 刘刚, 侯勇. 工业用户配置储能系统的经济收益分析 [J]. 供用电, 2019, 36(8): 54-60. DOI: 10.19421/j.cnki.1006-6357.2019.08.009.

YI J C, REN Z J, XIE Y J. Analysis on economic impact on PV power generation projects under different pricing mechanisms [J]. Construction science and technology, 2022(10): 86-89. DOI: 10.16116/j.cnki.jskj.2022.10.019.

易检长, 任中俊, 谢玉军. 不同结算电价对光伏发电项目经济性影响分析 [J]. 建设科技, 2022(10): 86-89. DOI: 10.16116/j.cnki.jskj.2022.10.019.

ZHANG L N, WANG J M, YANG G H, et al. Micro-grid energy optimization management based on grid electricity price [J]. Journal of Ningxia University (natural science edition), 2020, 41(4): 379-383. DOI: 10.3969/j.issn.0253-2328.2020.04.014.

张丽娜, 王金梅, 杨国华, 等. 计及电网电价的微网能量优化管理 [J]. 宁夏大学学报(自然科学版), 2020, 41(4): 379-383. DOI: 10.3969/j.issn.0253-2328.2020.04.014.

XU W, LIU Z L, WANG H Z, et al. Evaluation of socio-economic benefits of rural PV systems based on LCOE model: an example of rooftop distributed PV projects in Beijing suburbs [J]. Journal of China Agricultural University, 2023, 28(9): 208-217. DOI: 10.11841/j.issn.1007-4333.2023.09.19.

徐伟, 刘振领, 王华智, 等. 基于LCOE模型的农村光伏系统社会经济效益评价−以北京郊区屋顶分布式光伏项目为例 [J]. 中国农业大学学报, 2023, 28(9): 208-217. DOI: 10.11841/j.issn.1007-4333.2023.09.19.

BAI Y B, WANG X P, LI X D, et al. Economic and environmental benefits analysis of centralized PV power generation projects in ultra-high altitude areas [J]. Solar energy, 2023(10): 21-29. DOI: 10.19911/j.1003-0417.tyn20230223.01.

白映波, 王兴鹏, 李欣达, 等. 超高海拔地区集中式光伏发电项目的经济与环境效益分析 [J]. 太阳能, 2023(10): 21-29. DOI: 10.19911/j.1003-0417.tyn20230223.01.

CHANG D H, TIAN C, ZHANG Z Y, et al. Economic benefit analysis on photovoltaic power generation with LCOE model: the case of poverty alleviation project in rural areas of Yichang city [J]. Research of environmental sciences, 2020, 33(10): 2412-2420. DOI: 10.13198/j.issn.1001-6929.2020.08.24.

昌敦虎, 田川, 张泽阳, 等. 基于LCOE模型的光伏发电经济效益分析: 以宜昌农村地区光伏扶贫电站项目为例 [J]. 环境科学研究, 2020, 33(10): 2412-2420. DOI: 10.13198/j.issn.1001-6929.2020.08.24.

ZHANG Y X, HE H Y, HUANG J F, et al. Economic benefit analysis of rail transit photovoltaic power generation and energy storage integration project based on levelized net present value model [J]. Urban mass transit, 2023, 26(10): 103-108,115. DOI: 10.16037/j.1007-869x.2023.10.018.

张宇翔, 何海艳, 黄骏飞, 等. 基于平准化度电净现值模型的轨道交通光伏发电储能一体化项目的经济效益分析 [J]. 城市轨道交通研究, 2023, 26(10): 103-108,115. DOI: 10.16037/j.1007-869x.2023.10.018.

WANG H C, WANG X M, FU Z M. Energy management strategy for optimal charge depletion of plug-in FCHEV based on multi-constraints deep reinforcement learning [J]. IEEE transactions on transportation electrification, 2025, 11(1): 1077-1090. DOI: 10.1109/TTE.2024.3400020.

CAI S P, GE J W, CHENG Z R. Research on economical optimal operation based on improved adaptive genetic algorithm optimization with NPV [J]. Information technology, 2017(2): 150-154,160. DOI: 10.13274/j.cnki.hdzj.2017.02.036.

蔡舒平, 葛佳伟, 程之瑞. 基于增强型遗传算法和NPV的微网优化 [J]. 信息技术, 2017(2): 150-154,160. DOI: 10.13274/j.cnki.hdzj.2017.02.036.

HE Y D, HE Z W, WANG N M, et al. Resource-constrained Max-NPV multi-project scheduling optimization under sharing economy environment [J]. Chinese journal of management science, 2024, 32(9): 260-270. DOI: 10.16381/j.cnki.issn1003-207x.2021.2332.

何一丹, 何正文, 王能民, 等. 共享经济环境下的资源约束Max-NPV多项目调度优化 [J]. 中国管理科学, 2024, 32(9): 260-270. DOI: 10.16381/j.cnki.issn1003-207x.2021.2332.

WANG B G. China Tianying: promoting the construction of thefirst gravity energy storage project [J]. Stock market trendanalysis weekly, 2023, (15):35.

王柄根.中国天楹: 推进首个重力储能项目建设 [J].股市动态分析, 2023, (16):35.

WANG B G. China Tianying: successful charge-discharge test of gravity energy storage demonstration project [J]. Stock market trend analysis weekly, 2024(9): 35. DOI: 10.3969/j.issn.1671-0401.2024.09.017.

王柄根. 中国天楹: 重力储能示范项目充放电测试成功 [J]. 股市动态分析, 2024(9): 35. DOI: 10.3969/j.issn.1671-0401.2024.09.017.

WANG W J. Thoughts on extending the life of reinforced concrete structure [J]. Haihe water resources, 2008(6): 42-43. DOI: 10.3969/j.issn.1004-7328.2008.06.017.

王文军. 延长钢筋混凝土结构寿命的几点思考 [J]. 海河水利, 2008(6): 42-43. DOI: 10.3969/j.issn.1004-7328.2008.06.017.

WANG C, DU X P, XU M Z, et al. Basic performance test of durable protective coatings for concrete beams [J]. Coating and protection, 2024, 45(5): 1-8, 14. DOI: 10.3969/j.issn.2096-8639.2024.05.001.

王晨, 杜小平, 许麦扎, 等. 混凝土梁耐久性防护涂层基本性能试验 [J]. 涂层与防护, 2024, 45(5): 1-8, 14. DOI: 10.3969/j.issn.2096-8639.2024.05.001.

XIE C. Analysis on the comprehensive circulation efficiency of Shisanling pumped-storage power plant [J]. Water power, 2002, 28(9): 7-8, 13. DOI: 10.3969/j.issn.0559-9342.2002.09.004.

谢琛. 十三陵抽水蓄能电站综合循环效率分析 [J]. 水力发电, 2002, 28(9): 7-8, 13. DOI: 10.3969/j.issn.0559-9342.2002.09.004.

ZHENG Y C, SHAN C L, ZHANG J B. Current research status and development prospects of long duration energy storage system [J]. Southern energy construction, 2024, 11(2): 93-101. DOI: 10.16516/j.ceec.2024.2.09.

郑彦春, 陕超伦, 张晋宾. 长持续时间储能体系研究现状及发展展望 [J]. 南方能源建设, 2024, 11(2): 93-101. DOI: 10.16516/j.ceec.2024.2.09.

HE H J, ZHANG N, DU E S, et al. Review on modeling method for operation efficiency and lifespan decay of large-scale electrochemical energy storage on power grid side [J]. Automation of electric power systems, 2020, 44(12): 193-207. DOI: 10.7500/AEPS20190820005.

贺鸿杰, 张宁, 杜尔顺, 等. 电网侧大规模电化学储能运行效率及寿命衰减建模方法综述 [J]. 电力系统自动化, 2020, 44(12): 193-207. DOI: 10.7500/AEPS20190820005.

LI X B, ZHAO H, CHEN S L. Research on energy consumption calculation of prefabricated cabin type lithium iron phosphate battery energy storage power station [J]. Southern energy construction, 2023, 10(2): 71-77. DOI: 10.16516/j.gedi.issn2095-8676.2023.02.010.

李学斌, 赵号, 陈世龙. 预制舱式磷酸铁锂电池储能电站能耗计算研究 [J]. 南方能源建设, 2023, 10(2): 71-77. DOI: 10.16516/j.gedi.issn2095-8676.2023.02.010.

ZHANG L. Efficiency analysis of compressed air energy storage system [D]. Beijing: Beijing Jiaotong University, 2013. DOI: 10.7666/d.Y2428965.

张磊. 压缩空气储能系统效率分析 [D]. 北京: 北京交通大学, 2013. DOI: 10.7666/d.Y2428965.

WAN M Z, YANG Y F, YUAN Z W, et al. Key technologies of large-scale compressed air energy storage [J]. Southern energy construction, 2023, 10(6): 26-33. DOI: 10.16516/j.gedi.issn2095-8676.2023.06.003.

万明忠, 杨易凡, 袁照威, 等. 大容量压缩空气储能关键技术 [J]. 南方能源建设, 2023, 10(6): 26-33. DOI: 10.16516/j.gedi.issn2095-8676.2023.06.003.

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