Improving the performance of finned latent heat thermal storage devices using a Cartesian grid solver and machine-learning optimization techniques
The high energy density and stable temperature fields of latent heat thermal storage devices (LHTSD) make them promising in a range of applications, including solar energy storage, solar cooking, home heating and cooling, and thermal buffering. The chief engineering challenge in building an effectiv...
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| Format: | Others |
| Language: | English |
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University of Iowa
2018
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| Online Access: | https://ir.uiowa.edu/etd/6048 https://ir.uiowa.edu/cgi/viewcontent.cgi?article=7698&context=etd |