发电技术 ›› 2019, Vol. 40 ›› Issue (4): 339-346.DOI: 10.12096/j.2096-4528.pgt.19062

• 燃煤发电系统能源高效清洁利用 • 上一篇    下一篇

填充床潜热储热数值模型研究进展

高龙(),格根塔娜,孙佰仲*(),车德勇,李少华   

  • 收稿日期:2019-04-23 出版日期:2019-08-31 发布日期:2019-09-04
  • 通讯作者: 孙佰仲
  • 作者简介:高龙(1988),男,博士,讲师,研究方向为太阳能热利用与储热技术,复合相变材料储热技术, gaolong0607@163.com
  • 基金资助:
    吉林省科技发展计划项目(172387GG010138026);吉林市科技发展计划项目(201750235)

Advances in Numerical Simulation of Latent Heat Storage in Packed Beds

Long GAO(), Ge-gen-ta-na,Baizhong SUN*(),Deyong CHE,Shaohua LI   

  • Received:2019-04-23 Published:2019-08-31 Online:2019-09-04
  • Contact: Baizhong SUN
  • Supported by:
    Science and Technology Development Plan of Jilin Province(172387GG010138026);Science and Technology Development Plan of Jilin City(201750235)

摘要:

填充床潜热储热技术广泛应用于太阳能热利用和供热通风与空气调节等领域。由于不同应用环境下的填充床潜热储热系统具有复杂的瞬态特性和较高的实验成本,在研究不同因素对储热系统性能的影响时,研究人员开发了相关数学模型,并采用不同数值计算方法进行分析。对常见的填充床储热过程数值模型进行分类,详细分析不同模型的特点与适用性;对比了模型的计算效率和误差;最后,总结了不同数值模型在潜热型填充床储热技术中的应用特点,可为同类模型的开发与应用提供依据。

关键词: 储能, 潜热储热, 填充床, 数值模型, 中低温

Abstract:

The technology of latent heat storage in packed bed is widely used in solar energy utilization and heating ventilation air conditioning. Due to the complex transient characteristics and high experimental cost of the latent heat storage system of packed bed under different application environments, researchers developed relevant mathematical models and adopted different numerical calculation methods to analyze the effects of different factors on the system performance. In this paper, the common numerical models of heat storage process in packed bed were classified, and the characteristics and applicability of different models were analyzed in detail. Secondly, the computational efficiency and error of the model were compared. Finally, the application characteristics of different numerical models in latent heat packed bed heat storage technology were summarized, which provides a basis for the development and application of similar models.

Key words: energy storage, latent heat storage, packed bed, numerical model, medium and low temperature