融合多元储能的碳中和校园综合能源系统协同规划

徐宝萍; 窦研哲; 王锡; 杜小泽

doi:10.19799/j.cnki.2095-4239.2026.0076

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融合多元储能的碳中和校园综合能源系统协同规划

储热储冷多场景应用专刊 | 更新时间：2026-07-01

- 融合多元储能的碳中和校园综合能源系统协同规划
- Coordinated planning of carbon-neutral campus integrated energy system incorporating multi-energy storage
- 储能科学与技术 2026年15卷第3期页码：1012-1022
- 作者机构：
  
  华北电力大学能源动力与机械工程学院，北京 102206
- 作者简介：
  
  徐宝萍（1979—），女，博士，副教授，研究方向为区域能源规划与柔性调控，E-mail：xubp@ncepu.edu.cn。
- 基金信息：
  
  国家自然科学基金(52278106)
- DOI：10.19799/j.cnki.2095-4239.2026.0076
  中图分类号： TK 01;TU 83
- 收稿：2026-01-26，
  
  修回：2026-02-21，
  
  纸质出版：2026-03-28
- 稿件说明：
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徐宝萍, 窦研哲, 王锡, 等. 融合多元储能的碳中和校园综合能源系统协同规划[J]. 储能科学与技术, 2026, 15(3): 1012-1022.

XU Baoping, DOU Yanzhe, WANG Xi, et al. Coordinated planning of carbon-neutral campus integrated energy system incorporating multi-energy storage[J]. Energy Storage Science and Technology, 2026, 15(3): 1012-1022.
徐宝萍, 窦研哲, 王锡, 等. 融合多元储能的碳中和校园综合能源系统协同规划[J]. 储能科学与技术, 2026, 15(3): 1012-1022. DOI： 10.19799/j.cnki.2095-4239.2026.0076.

XU Baoping, DOU Yanzhe, WANG Xi, et al. Coordinated planning of carbon-neutral campus integrated energy system incorporating multi-energy storage[J]. Energy Storage Science and Technology, 2026, 15(3): 1012-1022. DOI： 10.19799/j.cnki.2095-4239.2026.0076.

摘要

本研究旨在解决高比例可再生能源与全面电气化背景下，校园综合能源系统面临的供需动态失配核心挑战，提出了融合多元储能的供需协同规划方法。首先，构建了以园区核算边界碳中和为目标的源-荷-储协同规划框架。其次，对电气化场景下的校园冷-热-电动态负荷逐时模拟，并评估以屋顶光伏及热泵为主的可再生能源潜力，量化其时序供需匹配特性。在此基础上，重点研究多元储能的协同配置：分析从日间到季节性的储热/冷与储电需求；提出融合被动式(建筑与冷热系统热惰性)与主动式(跨季节储热水池、车网互动)的储能技术策略并确定其容量。以某典型校园为案例构建系统规划方案进行评估，结果表明：本研究所提方法通过多元储能的配置与协同优化，能够有效提升系统对可再生能源的消纳能力，在实现园区运营阶段碳中和的同时，保障了能源供应的经济性与灵活性。

Abstract

High shares of renewable energy and electrification create major challenges for campus integrated energy systems (IESs)

particularly the dynamic mismatch between energy supply and demand. To address this issue

this paper proposes a supply-demand coordinated planning method based on multi-energy storage. A source-load-storage planning framework is developed with campus-level carbon neutrality as the primary objective. Under electrification scenarios

the dynamic electricity

heating

and cooling loads of a campus are simulated. The renewable energy potential of rooftop photovoltaic systems and heat pumps is evaluated. The multi-timescale matching between renewable energy supply and load demand is quantitatively analyzed. Based on these results

the coordinated configuration of multi-energy storage is studied across daily to seasonal time scales

considering both electrical and thermal storage needs. An integrated storage strategy is proposed by combining passive storage

such as the thermal inertia of buildings and heating/cooling systems

with active storage technologies

including thermal storage tanks and vehicle-to-grid (V2G) systems. System planning schemes are finally evaluated. The results show that the proposed method improves renewable energy utilization through coordinated energy storage

achieving campus operational carbon neutrality while maintaining economic performance and system flexibility.

关键词

Keywords

references

新华社. 中共中央国务院关于完整准确全面贯彻新发展理念做好碳达峰碳中和工作的意见[EB/OL]. [2021-10-24]. https://www.gov.cn/zhengce/2021-10/24/content_5644613.htm.

清华大学建筑节能研究中心. 中国建筑节能年度发展研究报告2022[M]. 北京: 中国建筑工业出版社, 2022.Building Energy Research Center, Tsinghua University. China building energy conservation annual development research report 2022[M]. Beijing: China Architecture and Building Press, 2022.

International Energy Agency (IEA). Renewables 2024: Analysis and forecast to 2030[R]. Paris: IEA, 2024.

陈洪银, 王松岑, 芋耀贤, 等. 新型电力系统下电热双向灵活转换技术研究进展及展望[J]. 新型电力系统, 2025, 3(2): 157-176.

CHEN H Y, WANG S C, YU Y X, et al. Research progress and prospects of technologies for bidirectional and flexible conversion between electricity and heat in the new type power systems[J]. New Type Power Systems, 2025, 3(2): 157-176.

刘吉臻, 王庆华, 胡阳, 等. 新型电力系统的内涵、特征及关键技术[J]. 新型电力系统, 2023, 1(1): 49-65.

LIU J Z, WANG Q H, HU Y, et al. Connotation, characteristics and key technologies of new power systems[J]. New Type Power Systems, 2023, 1(1): 49-65.

DING Y, WANG Q C, TIAN Z, et al. A graph-theory-based dynamic programming planning method for distributed energy system planning: Campus area as a case study[J]. Applied Energy, 2023, 329: 120258. DOI: 10.1016/j.apenergy.2022.12 0258.

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.

CHEN H S, LI H, XU Y J, et al. Research progress on China's energy storage technology in 2024[J]. Energy Storage Science and Technology, 2025, 14(6): 2149-2192.

赵波, 林达, 陈哲, 等. 面向新能源消纳的长短周期混合储能关键技术及展望[J]. 新型电力系统, 2024, 2(2): 162-178. DOI: 10.20121/j.2097-2784.ntps.240007.

ZHAO B, LIN D, CHEN Z, et al. Key technologies and prospects of long-short-cycle hybrid energy storage for renewable energy consumption[J]. New Type Power Systems, 2024, 2(2): 162-178. DOI: 10.20121/j.2097-2784.ntps.240007.

İSÇAN S, ARıKAN O. Optimizing battery energy storage system for campus micro grid: Economic and environmental benefits of strategic sizing[J]. Journal of Energy Storage, 2025, 124: 116905. DOI: 10.1016/j.est.2025.116905.

ZHOU H Y, BI J P, LÜ Y X, et al. Techno-economic analysis of solar photovoltaic systems integrated with battery energy storage for university campuses[J]. Journal of Energy Storage, 2025, 129: 117360. DOI: 10.1016/j.est.2025.117360.

ZHANG R Y, LI Z, LIU P. Modeling and optimization of a heating and cooling combined seasonal thermal energy storage system towards a carbon-neutral community: A university campus case study[J]. Energy, 2025, 319: 135122. DOI: 10.1016/j.energy.2025.135122.

杨倩鹏, 陈晓文, 王辉, 等. 基于氢燃料储能的离网式风-光-储混合能源系统配置规划及运行策略研究[J]. 燃烧科学与技术, 2025, 31(2): 138-149. DOI: 10.11715/rskxjs.R202404004.

YANG Q P, CHEN X W, WANG H, et al. Configuration planning and operation strategy of off-grid wind solar storage hybrid energy system based on hydrogen fuel energy storage[J]. Journal of Combustion Science and Technology, 2025, 31(2): 138-149. DOI: 10.11715/rskxjs.R202404004.

董殿伟, 江剑, 王立发, 等. 北京市平原区地源热泵系统适宜性分区评价[J]. 北京水务, 2010(2): 12-14. DOI: 10.3969/j.issn.1673-4637.2010.02.006.

DONG D W, JIANG J, WANG L F, et al. AHP applied to appraise suitability of geothermal pumping system in Beijing[J]. Beijing Water, 2010(2): 12-14. DOI: 10.3969/j.issn.1673-4637.2010.02.006.

江亿. 怎样改造中国的供热系统[EB/OL]. [2026-1-12]. https://news.qq.com/rain/a/20260112A049XE00.

FOTEINAKI K, LI R L, PÉAN T, et al. Evaluation of energy flexibility of low-energy residential buildings connected to district heating[J]. Energy and Buildings, 2020, 213: 109804. DOI: 10.1016/j.enbuild.2020.109804.

LUO N, HONG T Z, LI H, et al. Data analytics and optimization of an ice-based energy storage system for commercial buildings[J]. Applied Energy, 2017, 204: 459-475. DOI: 10.1016/j.apenergy. 2017.07.048.

YILMAZ C, ARSLAN M, TOKGOZ N, et al. Thermoeconomic performance evaluation and optimization of a geothermal heat pump system for greenhouse heating in low-temperature resources[J]. Sustainable Energy Technologies and Assessments, 2025, 82: 104574. DOI: 10.1016/j.seta.2025.104574.

黄冬, 刘洋, 王选, 等. 寒冷地区近零能耗办公建筑节能减碳技术与经济性分析[J]. 建筑科学, 2025, 41(12): 127-137. DOI: 10.13614/j.cnki.11-1962/tu.2025.12.15.

HUANG D, LIU Y, WANG X, et al. Energy saving and carbon reduction technology and economic analysis of nearly-zero energy office buildings in cold regions[J]. Building Science, 2025, 41(12): 127-137. DOI: 10.13614/j.cnki.11-1962/tu.2025.12.15.

张杨杰, 毛丁, 王芃, 等. 沧州污水源热泵供热系统经济与节能减排分析[J]. 煤气与热力, 2021, 41(9): 1-4, 9, 41. DOI: 10.13608/j.cnki.1000-4416.2021.09.001.

ZHANG Y J, MAO D, WANG P, et al. Analysis on economy, energy saving and emission reduction of Cangzhou sewage source heat pump heating system[J]. Gas & Heat, 2021, 41(9): 1-4, 9, 41. DOI: 10.13608/j.cnki.1000-4416.2021.09.001.

中国光伏行业协会. 2024—2025年中国光伏产业发展路线图[R/OL]. [2025-11-24]. https://www.chinapv.org.cn/Industry/resource_1405.html.

YANG T R, LIU W, KRAMER G J, et al. Seasonal thermal energy storage: A techno-economic literature review[J]. Renewable and Sustainable Energy Reviews, 2021, 139(C): DOI: 10.1016/j.rser.2021.110732.

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