Seasonal thermal energy storage in smart energy systems: District-level applications and modelling approaches
Seasonal thermal energy storage in smart energy systems: District-level applications and modelling approaches
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DOI：
10.1016/j.rser.2022.112760
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发表时间：
2022-10
影响因子：
15.9
通讯作者：
A. Lyden;C. Brown;I. Kolo;G. Falcone;D. Friedrich
中科院分区：
文献类型：
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作者：
A. Lyden;C. Brown;I. Kolo;G. Falcone;D. Friedrich
季节性热能储存可以为智能能源系统提供灵活性，其特点是单位能量容量成本低，适用于不同的地理和地质位置。本文确定了应用程序和审查的建模方法，季节性热能储存技术的背景下，他们在智能能源系统的集成。一个地区规模的智能能源系统的例子进行了概述，以分析三个潜在的智能应用季节性热能存储：（i）利用多种可再生能源，（ii）整合废热和冷，（iii）电网平衡。本文的其余部分着重于能源系统分析中的井孔热能储存和含水层热能储存的建模方法。能源系统的规划和详细设计阶段的工具进行审查。在控制策略和开放代码的规划工具的差距被确定。TRNEROS被认为是主要的详细设计工具，用于模拟大规模的钻孔热能储存。还回顾了涉及详细物理和电力系统工具的联合仿真方法，包括使用详细物理工具的联合仿真来代表井眼或含水层热能存储以及能源系统工具的研究。一个差距存在于共同模拟钻孔或含水层热能储存模型与能源系统工具能够模拟电力和热量。总之，季节性热能储存可以通过不同规模的不同智能应用提供灵活性，使用联合仿真方法的建模方法为捕捉这些智能应用的潜在好处提供了一个有前途的途径。
Seasonal thermal energy storage can provide flexibility to smart energy systems and are characterised by low cost per unit energy capacity and varying applicability to different geographical and geological locations. This paper identifies applications and reviews modelling approaches for seasonal thermal energy storage technologies in the context of their integration in smart energy systems. An example district-scale smart energy system is outlined to analyse three potential smart applications for seasonal thermal energy storage: (i) utilisation of multiple renewable energy sources, (ii) integrating waste heat and cool, and (iii) electrical network balancing. The rest of the paper focuses on modelling methods for borehole thermal energy storage and aquifer thermal energy storage in energy system analysis. Energy system tools for planning and detailed design stages are reviewed. Gaps are identified for planning tools in control strategies and open code. TRNSYS is found to be the dominant detailed design tool used to model large-scale borehole thermal energy storage. Co-simulation methods involving detailed physics and power system tools are also reviewed, including studies using co-simulation of a detailed physics tool to represent borehole or aquifer thermal energy storage alongside an energy system tool. A gap exists in co-simulation of borehole or aquifer thermal energy storage models with energy system tools capable of simulating both electricity and heat. In conclusion, seasonal thermal energy storage can provide flexibility through different smart applications at different scales, and modelling approaches using co-simulation methods offer a promising avenue for capturing potential benefits of these smart applications.