多元储能驱动的太阳能冷热电联供系统能量-经济-环境协同优化研究

林建清; 姚春宇; 王刚; 石黄霞; 钟皓白; 姜铁骝

doi:10.19799/j.cnki.2095-4239.2026.0247

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多元储能驱动的太阳能冷热电联供系统能量-经济-环境协同优化研究

XXXX | 更新时间：2026-05-14

- 多元储能驱动的太阳能冷热电联供系统能量-经济-环境协同优化研究
- Research on the Energy-Economy-Environment Synergistic Optimization of Solar Combined Cooling, Heating and Power System Driven by Multi-Energy Storage
- 储能科学与技术 2026年页码：1-15
- 作者机构：
  
  1.东北电力大学，吉林省吉林市 132012
  2.新疆工程学院，新疆，乌鲁木齐市 830023
- 作者简介：
  
  林建清（1989—），男，博士，副教授，研究方向：纳米流体光谱分频、光伏/光热热利用技术、相变储热等。E-mail：20162674@neepu.edu.cn；
  王刚，博士，教授，研究方向：储热技术与清洁能源高效利用，聚焦相变储热技术与大规模太阳能区域供热技术。E-mail：18515831495@163.com。
- 基金信息：
  
  耦合储热的光伏/光热复合系统开发与热电联供(20250203008SF)
- DOI：10.19799/j.cnki.2095-4239.2026.0247
  中图分类号： TK 02
- 收稿：2026-03-27，
  
  修回：2026-05-06，
  
  网络首发：2026-05-14，
- 稿件说明：
移动端阅览
林建清, 姚春宇, 王刚, 等. 多元储能驱动的太阳能冷热电联供系统能量-经济-环境协同优化研究[J]. 储能科学与技术, XXXX, XX(XX): 1-15.

Lin Jianqing, Yao Chunyu, Wang Gang, et al. Research on the Energy-Economy-Environment Synergistic Optimization of Solar Combined Cooling, Heating and Power System Driven by Multi-Energy Storage[J]. Energy Storage Science and Technology, XXXX, XX(XX): 1-15.
林建清, 姚春宇, 王刚, 等. 多元储能驱动的太阳能冷热电联供系统能量-经济-环境协同优化研究[J]. 储能科学与技术, XXXX, XX(XX): 1-15. DOI： 10.19799/j.cnki.2095-4239.2026.0247.

Lin Jianqing, Yao Chunyu, Wang Gang, et al. Research on the Energy-Economy-Environment Synergistic Optimization of Solar Combined Cooling, Heating and Power System Driven by Multi-Energy Storage[J]. Energy Storage Science and Technology, XXXX, XX(XX): 1-15. DOI： 10.19799/j.cnki.2095-4239.2026.0247.

摘要

针对低碳社区太阳能冷热电联供（CCHP）系统在负荷差异、多能耦合及储能协同方面存在的优化不足，构建了一种多元储能驱动的双层协同优化方法。基于TRNSYS平台建立全年8760h动态仿真模型，面向办公、商业、住宅与医院四类差异化建筑负荷特性，建立了设备容量配置与运行调度优化的双层框架，明确蓄热水箱、相变储热罐与蓄冰槽在不同季节与能流中的功能分工及调度优先级。在此基础上，引入归一化能量-经济-环境综合目标函数，实现多目标协同优化，并通过基准方案对比及电价敏感性分析验证方法有效性。与系统优化前相比，经双层协同优化后，光伏上网率由44%提升至46%，市政购电量降低2.4%；设备容量显著减小，其中采暖相变储热罐与蓄冰槽体积分别减小16.1%和28.7%；系统初投资降低19.8%，费用年值下降14.6%，碳排放降低3.0%。在统一储能配置条件下，相较于单层优化方案，双层协同优化使市政购电量、费用年值和碳排放进一步分别降低4.8%、2.1%和6.8%，综合目标函数值下降3.7%。电价敏感性分析表明，当峰谷价差扩大20%时系统经济性进一步提升，而在价差缩小10%条件下性能仅小幅波动，表明所提方法具有良好的鲁棒性与适应性。研究证实，多元储能系统与建筑差异化负荷的精准耦合的可有效削减系统冗余容量、提升能源利用效率，双层协同优化机制能够在不显著改变外部能源输入的前提下，实现系统经济性与环境性的协同提升，为社区级太阳能CCHP系统的优化设计与工程应用提供了坚实的理论支撑与技术参考。

Abstract

To address the limitations of solar combined cooling

heating and power (CCHP) systems in low-carbon communities

particularly regarding load heterogeneity adaptation

multi-energy coupling coordination

and energy storage system scheduling optimization

a bi-level collaborative optimization method driven by multi-energy storage is proposed. An annual 8760-hour dynamic simulation model is established using the TRNSYS platform. Considering the differentiated load characteristics of four typical building types (office

commercial

residential

and hospital)

a bi-level framework integrating equipment capacity configuration and operational scheduling optimization is constructed. The functional division and scheduling priority of hot water storage tanks

phase-change thermal storage tanks

and ice storage tanks are clarified under different seasons and energy flow scenarios. On this basis

a normalized energy-economy-environment comprehensive objective function is introduced to achieve multi-objective collaborative optimization

and the effectiveness and feasibility of the proposed optimization method are verified through baseline scheme comparison and electricity price sensitivity analysis.Compared with the system before optimization

the bi-level collaborative optimization increased the photovoltaic grid feed-in rate from 44% to 46% and reduced the municipal electricity purchase by 2.4%. The equipment capacities were significantly reduced: the volumes of the heating phase-change thermal storage tank and the ice storage tank decreased by 16.1% and 28.7%

respectively. The initial system investment was reduced by 19.8%

the annualized cost decreased by 14.6%

and the carbon emission was lowered by 3.0%. Under the same energy storage configuration

compared with the single-layer optimization scheme

the bi-level collaborative optimization further reduced the municipal electricity purchase

the annualized cost

and the carbon emission by 4.8%

2.1%

and 6.8%

respectively

and the comprehensive objective function value decreased by 3.7%. Electricity price sensitivity analysis indicates that the system exhibits strong robustness under electricity price fluctuations: when the peak-valley price difference increases by 20%

the system's economic performance is further improved; when the peak-valley price difference decreases by 10%

only slight fluctuations occur in various system performance indicators

demonstrating good environmental adaptability of the proposed method. The research confirms that the precise coupling of multi-energy storage systems with the differentiated building loads can effectively reduce the redundant system capacity and improve energy utilization efficiency. The bi-level collaborative optimization mechanism can realize the coordinated improvement of economic and environmental performance without significantly changing the external energy input

providing a solid theoretical support and technical reference for the optimal design and engineering application of community-scale solar CCHP systems.

关键词

Keywords

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