储能科学与技术 ›› 2017, Vol. 6 ›› Issue (4): 748-752.doi: 10.12028/j.issn.2095-4239.2017.0068

• 相变储能专刊 • 上一篇    下一篇

基于ε-NTU方法和可用能回收率最大化的储热设备建模与优化设计

王述浩1,黄  云1,李大成1,赵彦琦2,李永亮2,丁玉龙2,葛维春3,付  予3   

  1. 1中国科学院过程工程研究所,北京100190;2伯明翰大学化学工程学院,英国 伯明翰 B15 2TT;3国网辽宁省电力公司,辽宁 沈阳 110000
  • 收稿日期:2017-05-24 修回日期:2017-06-20 出版日期:2017-07-01 发布日期:2017-07-01
  • 通讯作者: 黄云,副研究员,主要研究方向为储能过程与能源材料等,E-mail:yunhuang@ipe.ac.cn。
  • 作者简介:王述浩(1990—),博士,主要研究方向为能量管理与系统优化,E-mail:wangshuhao@ipe.ac.cn
  • 基金资助:
    国家科技支撑计划(2015BAA01B02)项目,江苏省重点研发项目(BE2015199),江苏省科技成果转化项目(BA2016120)。

Modeling and optimal design of thermal storage devices based on effectiveness-NTU approach and exergy recovery maximization

WANG Shuhao1, HUANG Yun1, LI Dacheng1, ZHAO Yanqi2, LI Yongliang2, DING Yulong2, GE Weichun3, FU Yu3   

  1. 1Institute of Process Engineering, Chinese Academy Sciences, Beijing 100190, Beijing, China; 2School of Chemical Engineering,University of Birmingham, Birmingham B15 2TT, Birmingham, UK; 3Liaoning Province Electric Power Company, Shenyang 110000, Liaoning, China
  • Received:2017-05-24 Revised:2017-06-20 Online:2017-07-01 Published:2017-07-01

摘要: 为实现可再生能源的大规模利用和工业余热的高效回收,储热技术受到广泛关注和研究。基于集中参数法和效能-传热单元数法(ε-NTU)对储热设备和过程进行了建模和结构优化,以储热设备的可用能回收率最大化为目标,采用搜索算法对设备容量和操作参数进行优化,形成了利用单级/多级的潜热/显热进行热量存储的设备优化设计方法,并通过设计案例证实了算法的可用性和鲁棒性。结果表明,针对基于显热的储热设备而言,存在设备容量和温度操作区间的最佳组合。基于相变潜热的储热设备,存在最优的相变温度。尽管单级潜热储热相比显热储热的可用能回收率稍有降低,但可以极大的减少材料总量。特别地,优化算例表明,多级潜热储热可提升可用能回收率。

关键词: 储热设备, 可用能, 建模, 优化设计

Abstract: Thermal energy storage (TES) has been regarded as a key to the effective and efficient use of renewable energy and the recovery of waste heat, and hence attracted significant attention in the past few decades. Published research on TES includes materials, devices and systems. This paper presents a study for the optimization of thermal storage devices employing either sensible heat storage or latent heat storage. The process of thermal storage was modeled by the lumped parameter method and the design of the device was investigated by the effectiveness-NTU analysis. An exergy recovery ratio was defined for the device and the optimisation of the device design was achieved by maximizing the ratio by a search algorithm. A case study was carried out, which confirmed the feasibility and robustness of the optimization method. The results showed that there was an optimal combination of the material load and operation temperature range in sensible heat storage devices, while an optimal melting point is more important in latent heat storage devices. The thermal storage material amount required in a single-stage latent heat storage device could be reduced significantly compared with that for a sensible heat storage device. We also found that an optimized multi-stage latent heat storage device was shown to have a higher exergy recovery.

Key words: thermal storage device, exergy, modeling, optimal design