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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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