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首页> 外文期刊>Solar Energy >An efficient tank size estimation strategy for packed-bed thermocline thermal energy storage systems for concentrated solar power
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An efficient tank size estimation strategy for packed-bed thermocline thermal energy storage systems for concentrated solar power

机译:用于集中式太阳能的填充床温床热能存储系统的有效储罐尺寸估算策略

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摘要

Thermocline storage in a packed-bed is considered as a promising thermal energy storage (TES) method that achieves cost reduction with respect to current concentrated solar power (CSP) plants. Several parametric studies investigated thermal performances of different types of packed-bed thermocline TES systems, and cost analyses and dimension design studies were conducted based on this. However, parametric studies typically involve high computing costs for a dimension design, and results obtained by correlation fitting suffer from a relative lack of accuracy. The main objective of the present study involves directly determining the tank size of a packed-bed thermocline TES system to satisfy certain design requirements of a CSP plant without requiring parametric studies. In order to achieve this goal, a one-dimensional enthalpy-based dispersion-concentric (D-C) model is developed and validated to investigate the periodic thermal behavior of the system. An efficient tank size estimation strategy is proposed based on the periodic thermal performance of the system. The strategy is used to size four different packed-bed thermocline TES types under two exemplary operating conditions. The results reveal that tank size estimation strategy is independent of initial conditions, and that it is self-convergent, involves cost saving in terms of computing costs, is generally applicable, and can provide guidelines for the design of a TES system for CSP plants. (C) 2017 Elsevier Ltd. All rights reserved.
机译:填充床中的温床存储被认为是一种有前途的热能存储(TES)方法,相对于当前的集中太阳能(CSP)装置,它可以降低成本。几项参数研究研究了不同类型填充床温床TES系统的热性能,并在此基础上进行了成本分析和尺寸设计研究。但是,参数研究通常会为尺寸设计带来较高的计算成本,并且通过相关拟合获得的结果相对缺乏准确性。本研究的主要目标涉及直接确定填充床温床TES系统的储罐尺寸,以满足CSP工厂的某些设计要求,而无需进行参数研究。为了实现此目标,开发并验证了基于一维焓的分散同心(D-C)模型以研究系统的周期性热行为。基于系统的周期性热性能,提出了一种有效的储罐尺寸估算策略。该策略用于在两个示例性操作条件下确定四种不同的填充床温床TES类型的大小。结果表明,储罐尺寸估算策略与初始条件无关,并且是自收敛的,涉及计算成本方面的成本节省,是普遍适用的,并且可以为CSP工厂的TES系统设计提供指导。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Solar Energy》 |2017年第9期|104-114|共11页
  • 作者单位

    Chinese Acad Sci, Shanghai Inst Appl Phys, Shanghai 201800, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Shanghai Inst Appl Phys, Shanghai 201800, Peoples R China;

    Chinese Acad Sci, Shanghai Inst Appl Phys, Shanghai 201800, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Shanghai Inst Appl Phys, Shanghai 201800, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Concentrated solar power; Thermal energy storage in a packed-bed; 1-D enthalpy-based model; Tank size estimation strategy;

    机译:集中式太阳能;填充床中的热能存储;基于一维焓的模型;储罐尺寸估算策略;

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