Suitability assessment and zoning for the construction of compressed air energy storage plants in China

GAN Yu; JIANG Yue; ZHOU Hui; GAO Yang; HU Mingming; MEI Songhua; XIAO Feng; LI Jing

doi:10.19799/j.cnki.2095-4239.2025.1147

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Suitability assessment and zoning for the construction of compressed air energy storage plants in China

Energy Storage System and Engineering | 更新时间：2026-07-13

- Suitability assessment and zoning for the construction of compressed air energy storage plants in China
- Energy Storage Science and Technology Vol. 15, Issue 6, Pages: 2305-2315(2026)
- 作者机构：
  
  1.苏州科技大学土木工程学院，江苏苏州 215000
  2.中国科学院武汉岩土力学研究所，湖北武汉 430071
  3.中国电建集团中南勘测设计研究院有限公司，湖南长沙 410014
- 作者简介：
- 基金信息：
- DOI：10.19799/j.cnki.2095-4239.2025.1147
  CLC： TK 02
- Received：22 December 2025，
  
  Revised：2026-02-04，
  
  Published：28 June 2026
- 稿件说明：
移动端阅览
甘雨, 姜玥, 周辉, 等. 我国压缩空气储能电站适建性分区研究[J]. 储能科学与技术, 2026, 15(6): 2305-2315.

GAN Yu, JIANG Yue, ZHOU Hui, et al. Suitability assessment and zoning for the construction of compressed air energy storage plants in China[J]. Energy Storage Science and Technology, 2026, 15(6): 2305-2315.
甘雨, 姜玥, 周辉, 等. 我国压缩空气储能电站适建性分区研究[J]. 储能科学与技术, 2026, 15(6): 2305-2315. DOI： 10.19799/j.cnki.2095-4239.2025.1147.

GAN Yu, JIANG Yue, ZHOU Hui, et al. Suitability assessment and zoning for the construction of compressed air energy storage plants in China[J]. Energy Storage Science and Technology, 2026, 15(6): 2305-2315. DOI： 10.19799/j.cnki.2095-4239.2025.1147.

摘要

随着我国能源结构转型和“双碳”目标的推进，压缩空气储能技术（compressed air energy storage

CAES）在储能领域逐渐获得更多的关注和青睐。本研究针对压缩空气储能电站适建性评价方法的空白，首先，系统梳理“能源保障”“电网支撑”“能源转型”“经济效益”“地区政策”等维度的定量评价指标和计算方法，基于我国各地区公开发布的用电数据、标准规范及已建项目情况，对各指标开展量化分析和统计；其次，基于专家调研，采用层次分析法建立不同指标的权重体系，形成适建性综合评估方法，并对我国各省份的压缩空气储能电站适建性进行分区计算。结果表明：我国大规模CAES电站的强适建区主要分布在东部（如山东、江苏、广东等地），主要表现在政策支持力度强劲、用电需求旺盛且建设经济性较好；东北地区因政策支持较弱、用电负荷偏低，属弱适建区域；综合统计显示，强、较强适建性地区占比约35.5%，我国压缩空气储能发展前景广阔。

Abstract

With the transformation of China's energy structure and the advancement of its dual carbon goals

compressed air energy storage (CAES) technology has garnered increasing attention and recognition within the global energy storage sector. This study aims to address existing research gaps in the evaluation methodology for the construction suitability of CAES power plants. First

we systematically collated quantitative evaluation indicators and corresponding calculation methods across five core dimensions

namely

energy security

power grid support

energy transition

economic benefits

and regional policy. Based on publicly released electricity consumption data

prevailing standards and specifications

and operational data of completed CAES projects across various regions in China

we performed quantitative analysis and statistical processing for each indicator. Subsequently

based on expert surveys

we established a weighting system for the aforementioned indicators using an analytic hierarchy process

developed a comprehensive construction suitability evaluation methodology

and completed a zonal calculation of the construction suitability of CAES power plants for each province in China. The results demonstrate that high-suitability zones for large-scale CAES power plants in China are mainly distributed in the eastern region (including Shandong

Jiangsu

and Guangdong provinces)

which are characterized by strong policy support

robust electricity demand

and favorable economic viability for project construction. Meanwhile

the northeastern region is classified as a low-suitability zone

attributable to limited policy support and relatively low electricity load. Comprehensive statistical results indicate that regions with relatively high-suitability account for approximately 35.5% of China's total territorial area

highlighting the broad development prospects of CAES technology in the country.

关键词

Keywords

references

国家发展和改革委员会. 关于印发"十四五"可再生能源发展规划的通知: 发改能源〔2021〕1445号[EB/OL]. [2025-10-09]. https://www.ndrc.gov.cn/xxgk/zcfb/ghwb/202206/t20220601_1326719_ext.html.

刘笑驰, 梅生伟, 丁若晨, 等. 压缩空气储能工程现状、发展趋势及应用展望[J]. 电力自动化设备, 2023, 43(10): 38-47, 102. DOI:10.16081/j.epae.202309005.

LIU X C, MEI S W, DING R C, et al. Current situation, development trend and application prospect of compressed air energy storage engineering projects[J]. Electric Power Automation Equipment, 2023, 43(10): 38-47, 102. DOI:10.16081/j.epae.202309005.

辛传奇, 王文权, 陈伟, 等. 压缩空气储能技术多维度应用与发展路径分析[J]. 储能科学与技术, 2025, 14(9): 3636-3647.

XIN C Q, WANG W Q, CHEN W, et al. Multi-dimensional application and development paths of compressed air energy storage technology[J]. Energy Storage Science and Technology, 2025, 14(9): 3636-3647.

侯心宇, 苗世洪, 王廷涛, 等. 大容量先进绝热压缩空气储能系统动态建模及特性分析[J]. 电工技术学报, 2025, 40(24): 8123-8135. DOI:10.19595/j.cnki.1000-6753.tces.242058.

HOU X Y, MIAO S H, WANG T T, et al. Dynamic modelling and characterization of large capacity advanced adiabatic compressed air energy storage system[J]. Transactions of China Electrotechnical Society, 2025, 40(24): 8123-8135. DOI:10.19595/j.cnki.1000-6753.tces.242058.

何青, 王立健, 刘文毅. 深冷液化空气储能系统的热力学建模及㶲分析[J]. 华中科技大学学报(自然科学版), 2018, 46(10): 127-132. DOI:10.13245/j.hust.181022.

HE Q, WANG L J, LIU W Y. Thermodynamic model and exergy analysis of cryogenic liquefied air energy storage system[J]. Journal of Huazhong University of Science and Technology (Nature Science Edition), 2018, 46(10): 127-132. DOI:10.13245/j.hust.181022.

ZHANG L, CUI J, ZHANG Y P, et al. Performance analysis of a compressed air energy storage system integrated into a coal-fired power plant[J]. Energy Conversion and Management, 2020, 225: 113446. DOI:10.1016/j.enconman.2020.113446.

ZAKERI B, SYRI S. Electrical energy storage systems: A comparative life cycle cost analysis[J]. Renewable and Sustainable Energy Reviews, 2015, 42: 569-596. DOI:10.1016/j.rser.2014.10.011.

KAPILA S, ONI A O, KUMAR A. The development of techno-economic models for large-scale energy storage systems[J]. Energy, 2017, 140: 656-672. DOI:10.1016/j.energy.2017.08.117.

赵方亮, 刘瀚琛, 张猛, 等. 考虑先进绝热压缩空气储能的配电网韧性提升策略[J/OL]. 分布式能源, 1-8[2026-03-03]. https://link.cnki.net/urlid/10.1427.TK.20260113.2301.002.

ZHAO F L, LIU H C, ZHANG M et al. Resilience enhancement strategy of distribution grid considering advanced adiabatic compressed air energy storage[J]. Distributed Energy, 1-8[2026-03-03]. https://link.cnki.net/urlid/10.1427.TK.20260113.2301.002.

葛士宇, 史汪洋, 徐钢, 等. 压缩空气储能辅助太阳能电站调峰性能分析[J]. 热力发电, 2025, 54(9): 35-45.

GE S Y, SHI W Y, XU G, et al. Performance analysis of peak load balancing for compressed air energy storage assisted solar power station[J]. Thermal Power Generation, 2025, 54(9): 35-45.

耿晓倩, 徐玉杰, 黄景坚, 等. 先进压缩空气储能系统全生命周期能耗及二氧化碳排放[J]. 储能科学与技术, 2022, 11(9): 2971-2979. DOI:10.19799/j.cnki.2095-4239.2022.0129.

GENG X Q, XU Y J, HUANG J J, et al. Life cycle energy consumption and carbon emissions of advanced adiabatic compressed air energy storage[J]. Energy Storage Science and Technology, 2022, 11(9): 2971-2979. DOI:10.19799/j.cnki.2095-4239.2022.0129.

刘洋恺, 孙伟卿, 刘唯. 基于AHP和TOPSIS-模糊综合评价的多场景储能选型方法[J]. 储能科学与技术, 2024, 13(2): 691-701. DOI:10.19799/j.cnki.2095-4239.2023.0624.

LIU Y K, SUN W Q, LIU W. Multiscenario energy storage selection method based on AHP and TOPSIS-fuzzy comprehensive evaluation[J]. Energy Storage Science and Technology, 2024, 13(2): 691-701. DOI:10.19799/j.cnki.2095-4239.2023.0624.

赵娟, 李秉晨, 王喆, 等. 基于BMW和TOPSIS的新型储能场景适用性评价[J]. 储能科学与技术, 2025, 14(1): 443-455.

ZHAO J, LI B C, WANG Z, et al. Evaluation of scenario applicability of new energy storage based on BMW and TOPSIS methods[J]. Energy Storage Science and Technology, 2025, 14(1): 443-455.

国家能源局. 供电系统用户供电可靠性评价规程: DL/T 836—2012[S]. 北京: 中国电力出版社, 2012.National Energy Bureau of the People's Republic of China. Reliability evaluation code for customer service in power supply system: DL/T 836—2012[S]. Beijing: China Electric Power Press, 2012.

本刊编辑部. 国家发展改革委进一步完善分时电价机制[J]. 农村电工, 2021, 29(9): 1.

国家市场监督管理总局, 国家标准化管理委员会. 电力储能用压缩空气储能系统技术要求: GB/T 43687—2024[S]. 北京: 中国标准出版社, 2024.State Administration for Market Regulation, Standardization Administration of the People's Republic of China. Technical requirements for compressed air energy storage system used for electrical energy storage: GB/T 43687—2024[S]. Beijing: Standards Press of China, 2024.

国家电监会印发华东、东北、南方、华中、西北区域发电厂辅助服务管理及并网运行管理实施细则[J]. 电站信息, 2009(1): 16-19.

大唐中宁100MW/400MWh压缩空气储能项目已进入主设备安装阶段[EB/OL]. [2025-09-17]. https://www.znzf.gov.cn/xwzx/zwdt/202408/t20240809_4618409.html.

卢奇秀. 全球首座300兆瓦级压气储能电站全容量并网[N]. 中国能源报, 2025-01-13(12). DOI:10.28693/n.cnki.nshca.2025.000052.

国际首套百兆瓦先进压缩空气储能国家示范项目顺利并网[J]. 高科技与产业化, 2022, 28(1): 80. DOI:10.26927/j.cnki.hitech.2022.01.025.

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