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    On Simplified Models for the Rate- and Time-Dependent Performance of Stratified Thermal Storage

    Source: Journal of Energy Resources Technology:;2007:;volume( 129 ):;issue: 003::page 214
    Author:
    Ying Ji
    ,
    K. O. Homan
    DOI: 10.1115/1.2748814
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In direct sensible thermal storage systems, both the energy discharging and charging processes are inherently time-dependent as well as rate-dependent. Simplified models which depict the characteristics of this transient process are therefore crucial to the sizing and rating of the storage devices. In this paper, existing models which represent three distinct classes of models for thermal storage behavior are recast into a common formulation and used to predict the variations of discharge volume fraction, thermal mixing factor, and entropy generation. For each of the models considered, the parametric dependence of key performance measures is shown to be expressible in terms of a Peclet number and a Froude number or temperature difference ratio. The thermal mixing factor for each of the models is reasonably well described by a power law fit with Fr2Pe for the convection-dominated portion of the operating range. For the uniform and nonuniform diffusivity models examined, there is shown to be a Peclet number which maximizes the discharge volume fraction. In addition, the cumulative entropy generation from the simplified models is compared with the ideally-stratified and the fully-mixed limits. Of the models considered, only the nonuniform diffusivity model exhibits an optimal Peclet number at which the cumulative entropy generation is minimized. For each of the other models examined, the cumulative entropy generation varies monotonically with Peclet number.
    keyword(s): Temperature , Entropy , Storage , Thermal energy storage AND Thickness ,
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      On Simplified Models for the Rate- and Time-Dependent Performance of Stratified Thermal Storage

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    contributor authorYing Ji
    contributor authorK. O. Homan
    date accessioned2017-05-09T00:23:30Z
    date available2017-05-09T00:23:30Z
    date copyrightSeptember, 2007
    date issued2007
    identifier issn0195-0738
    identifier otherJERTD2-26547#214_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/135615
    description abstractIn direct sensible thermal storage systems, both the energy discharging and charging processes are inherently time-dependent as well as rate-dependent. Simplified models which depict the characteristics of this transient process are therefore crucial to the sizing and rating of the storage devices. In this paper, existing models which represent three distinct classes of models for thermal storage behavior are recast into a common formulation and used to predict the variations of discharge volume fraction, thermal mixing factor, and entropy generation. For each of the models considered, the parametric dependence of key performance measures is shown to be expressible in terms of a Peclet number and a Froude number or temperature difference ratio. The thermal mixing factor for each of the models is reasonably well described by a power law fit with Fr2Pe for the convection-dominated portion of the operating range. For the uniform and nonuniform diffusivity models examined, there is shown to be a Peclet number which maximizes the discharge volume fraction. In addition, the cumulative entropy generation from the simplified models is compared with the ideally-stratified and the fully-mixed limits. Of the models considered, only the nonuniform diffusivity model exhibits an optimal Peclet number at which the cumulative entropy generation is minimized. For each of the other models examined, the cumulative entropy generation varies monotonically with Peclet number.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleOn Simplified Models for the Rate- and Time-Dependent Performance of Stratified Thermal Storage
    typeJournal Paper
    journal volume129
    journal issue3
    journal titleJournal of Energy Resources Technology
    identifier doi10.1115/1.2748814
    journal fristpage214
    journal lastpage222
    identifier eissn1528-8994
    keywordsTemperature
    keywordsEntropy
    keywordsStorage
    keywordsThermal energy storage AND Thickness
    treeJournal of Energy Resources Technology:;2007:;volume( 129 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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