Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Architectural Science
Core Journal of RCCSE
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Volume 56 Issue 1
Jan.  2026
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Article Contents
YAN Zhe, YANG Jianrong, DAI Ke, ZHANG Yongming, ZHANG Gaijing, JIANG Yan. A Flexible Regulation Model for Shared Energy Storage of Multi-Type Building Groups Oriented to Renewable Energy Accommodation[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(1): 106-114. doi: 10.3724/j.gyjzG25121501
Citation: YAN Zhe, YANG Jianrong, DAI Ke, ZHANG Yongming, ZHANG Gaijing, JIANG Yan. A Flexible Regulation Model for Shared Energy Storage of Multi-Type Building Groups Oriented to Renewable Energy Accommodation[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(1): 106-114. doi: 10.3724/j.gyjzG25121501

A Flexible Regulation Model for Shared Energy Storage of Multi-Type Building Groups Oriented to Renewable Energy Accommodation

doi: 10.3724/j.gyjzG25121501
  • Received Date: 2025-12-15
    Available Online: 2026-02-26
  • Publish Date: 2026-01-22
  • As a core sector of energy consumption and carbon emissions, the green and low-carbon transformation of the construction industry is crucial to achieving the dual carbon goals. However, the intermittency and volatility of renewable energy sources such as photovoltaic (PV) and wind power, coupled with the drawbacks of traditional independent energy storage,including high investment costs, low utilization rates, and insufficient dispatch flexibility,have severely constrained renewable energy accommodation and energy system optimization in the construction field. This study investigated three typical building types: residential, office, and industrial. Based on their heterogeneous energy consumption characteristics, a flexible regulation model for shared energy storage was established, and differentiated dispatch strategies were designed. Case simulations were conducted to compare the operational effects of the three modes: no energy storage, independent energy storage, and shared energy storage. The results indicated that the shared energy storage mode could achieve full utilization of renewable energy, completely resolving the power curtailment issue inherent in the no-energy-storage mode. Compared to the independent energy storage mode, the shared mode significantly reduced energy storage investment costs while maintaining comparable operational costs. Moreover, as the PV installed capacity increased, the capacity reduction rate showed an upward trend, reaching a maximum of over 40%. Meanwhile, through cross-building coordinated dispatch, shared energy storage fully leveraged the advantage of load complementarity, thereby enhancing the stability of the energy system and the efficiency of resource utilization.
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  • [1]
    蔡伟光,于艳辉,刘源. 中国城乡建设领域碳排放研究报告(2024年)[J]. 建筑,2025(2):56-63.
    [2]
    MAHMOOD S,SUN H,ALI A A,et al. Active learning-based machine learning approach for enhancing environmental sustainability in green building energy consumption[J]. Scientific Reports,2024,14(1):19894.
    [3]
    董晓,刘加平. 论全面推行绿色建筑与“双碳”目标实现[J]. 建筑科学,2025,41(4):1-5.
    [4]
    张颖. 布署九大重点任务明确五项保障措施 住建部印发《“十四五”建筑节能与绿色建筑发展规划》[J]. 中国勘察设计,2022(3):8-9.
    [5]
    田广,刘培. 分布式可再生能源系统建模与优化综述[J]. 动力工程学报,2025,45(10):1738-1756.
    [6]
    张永明,于杰生,颜哲. 碳中和背景下建筑电气行业变革与对策[J]. 智能建筑电气技术,2022,16(3):9-14.
    [7]
    YU J,ZHANG Y,YAN Z,et al. A multi-objective optimized approach to photovoltaic-battery systems constrained by transformer capacity for existing buildings[J]. Energies,2025,18(13):3339.
    [8]
    YAN Z,ZHANG Y,YU J. Allocative approach to multiple energy storage capacity for integrated energy systems based on security region in buildings[J]. Journal of Energy Storage,2024,84:110951.
    [9]
    YAN Z,ZHANG Y,LIANG R,et al. An allocative method of hybrid electrical and thermal energy storage capacity for load shifting based on seasonal difference in district energy planning[J]. Energy,2020,207:118139.
    [10]
    任俊良,夏伟,王昌图. 我国储能创新研究的热点及未来发展趋势[J/OL]. 储能科学与技术,2026[ 2026-01-08]. https://doi.org/10.19799/j.cnki.2095-4239.2025.1050.
    [11]
    陈海生,李泓,徐玉杰,等. 2024年中国储能技术研究进展[J]. 储能科学与技术,2025,14(6

    ):2149-2192.
    [12]
    唐文虎,聂欣昊,钱瞳,等. 面向新型电力系统安全稳定的储能应用技术研究综述与展望[J]. 广东电力,2024,37(12):3-15.
    [13]
    梁毅,田思源,张颖. 用户侧储能经济性研究[J]. 中外能源,2024,29(10):18-28.
    [14]
    卢昭龙,朱建全,傅国斌,等. 基于非合作博弈的共享储能与多产消者交易策略[J/OL]. 分布式能源,2026[ 2026-01-08]. https://doi.org/10.16513/j.2096-2185.DE.25100317.
    [15]
    陈昌铭,章天晗,沈子康,等. 新型电力系统的发用电侧共享储能商业模式研究综述[J]. 电力系统自动化,2025,49(15):20-42.
    [16]
    孙英聪,陈来军,唐明睿,等. 集中式共享储能运行优化关键技术与研究展望[J]. 高电压技术,2025,51(9):4505-4519.
    [17]
    赵振宇,林杉,马乾鑫. 基于分布鲁棒优化的综合能源系统共享储能规划[J]. 电力建设,2025,46(11):58-70.
    [18]
    樊慧,牛玉广,陈玥,等. 计及共享储能服务质量定量评估的多虚拟电厂调度策略[J]. 太阳能学报,2025,46(10):77-87.
    [19]
    任洪波,徐佩佩,李琦芬,等. 基于多元负荷平准化的区域建筑群混合优化[J]. 暖通空调,2020,50(10):114-119.
    [20]
    张永明,颜哲,白玮,等. 综合能源规划中配网/用户侧锂电池储能系统的技术经济研究[J]. 智能建筑电气技术,2020,14(5):93-100.
    [21]
    郑晓东,石天卓,张盼盼,等. 耦合交通预测多智能体强化学习的虚拟聚合储能多充电站协同调度[J/OL]. 电网技术,2026[ 2026-01-08]. https://doi.org/10.13335/j.1000-3673.pst.2025.0918.
    [22]
    王晗雯,马智刚,钱欣,等. 面向资源集群调控的园区共享储能分布鲁棒优化配置方法[J]. 太阳能学报,2025,46(11):69-78.
    [23]
    胡水彬,李大华,孔祥玉,等. 电碳市场下考虑共享储能的多主体综合能源系统主从博弈优化运行[J]. 太阳能学报,2025,46(11):481-491.
    [24]
    罗西,李停停. 居住建筑柔性用能负荷关联特性及优化调控研究[J]. 太阳能学报,2025,46(6):385-392.
    [25]
    王天一,侯佳煜,杨悦. 苏州市居住建筑能耗与居民用能行为调查[J]. 上海节能,2025(6):892-896.
    [26]
    吴蔚沁,蒋友娣. 基于上海市能耗监测平台数据的办公建筑用能评价指标研究[J]. 建设科技,2023(4):34-38.
    [27]
    孙可欣,范蕊,步婷,等. 夏热冬冷地区办公建筑用能源总线系统夏季运行特性研究[J]. 建筑科学,2022,38(4):25-36.
    [28]
    张驰,郭海鞍,孟杰,等. 工业建筑绿色低碳化改造再利用设计方法研究:以夏热冬冷地区为例[J]. 南方建筑,2024(7):22-35.
    [29]
    廖剑辉. 高性能UPS电源在公共建筑电气的应用[J]. 智能建筑与智慧城市,2025(增刊1):195-197.
    [30]
    孙丙香,任鹏博,陈育哲,等. 锂离子电池在不同区间下的衰退影响因素分析及任意区间的老化趋势预测[J]. 电工技术学报,2021,36(3):666-674.
    [31]
    范智伟,乔丹,崔海港. 锂离子电池充放电倍率对容量衰减影响研究[J]. 电源技术,2020,44(3):325-329.
    [32]
    刘健辰,刘山林. 基于二阶锥松弛和Big-M法的配电网分布式电源优化配置[J]. 电网技术,2018,42(8):2604-2611.
    [33]
    于维珂,汪涛,杨尘. 储能用锂离子电池充放电能量效率的影响因素[J]. 电池,2020,50(6):552-555.
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