2018
DOI: 10.1002/adsu.201800074
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Optimized Salt Selection for Solar Thermal Latent Heat Energy Storage

Abstract: For solar thermal power to be cost effective as a baseload generation paradigm, the cost and efficiency of every subsystem must be improved. To reduce the cost of thermal storage and increase the working temperature of the subsystems for greater efficiency, appropriate storage materials must be identified for study. Unfortunately, there is an enormous search space of salt mixtures that are suitable candidates for thermal storage and must be analyzed for cost effectiveness to determine which candidates are the … Show more

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Cited by 22 publications
(11 citation statements)
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“…With regard to the accuracy of the predictive methods outlined in Section , in general, when comparing the error of the predicted values and the error of the published values from literature, they are on par with one another (see Tables S8 and S9 in the Supporting Information). This further validates the approach used in the optimization analysis used in the previous study to generate the list of recommended salt mixtures …”
Section: Discussionsupporting
confidence: 78%
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“…With regard to the accuracy of the predictive methods outlined in Section , in general, when comparing the error of the predicted values and the error of the published values from literature, they are on par with one another (see Tables S8 and S9 in the Supporting Information). This further validates the approach used in the optimization analysis used in the previous study to generate the list of recommended salt mixtures …”
Section: Discussionsupporting
confidence: 78%
“…This list of salts is for a single PCM application for TES. However, as mentioned in the previous study and as presented in Figure , an optimum design could utilize a cascaded storage system using five different PCMs . Potential further work could include testing more salts from the list of salts recommended in the previous optimization study for an additional four salts to create a cascaded storage system.…”
Section: Discussionmentioning
confidence: 96%
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