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- 01GJG4K3Y9MV4567KWF9VKZAPR classification A1.
- 01GJG4K3Y9MV4567KWF9VKZAPR date "2023".
- 01GJG4K3Y9MV4567KWF9VKZAPR language "eng".
- 01GJG4K3Y9MV4567KWF9VKZAPR type journalArticle.
- 01GJG4K3Y9MV4567KWF9VKZAPR hasPart 01GJHQ3JTMA5FBPQN962Z9DVBC.pdf.
- 01GJG4K3Y9MV4567KWF9VKZAPR hasPart 01GMR2X8M48W63CJJK7FM3EFMK.pdf.
- 01GJG4K3Y9MV4567KWF9VKZAPR subject "Technology and Engineering".
- 01GJG4K3Y9MV4567KWF9VKZAPR doi "10.1016/j.applthermaleng.2022.119526".
- 01GJG4K3Y9MV4567KWF9VKZAPR issn "1359-4311".
- 01GJG4K3Y9MV4567KWF9VKZAPR issn "1873-5606".
- 01GJG4K3Y9MV4567KWF9VKZAPR issue "Part B".
- 01GJG4K3Y9MV4567KWF9VKZAPR volume "219".
- 01GJG4K3Y9MV4567KWF9VKZAPR abstract "Correlations predicting the transient behavior of latent heat thermal energy storage systems without too many computational efforts are valuable for engineering practices. This characterization of latent heat thermal energy storage systems can be done with the recently developed charging time energy fraction method. This method allows fitting a predictive model for the outlet heat transfer fluid temperature of a latent thermal storage unit as a function of the input condition. The previous application of the method neglected heat transfer to the ambient. The present paper improves the charging time energy fraction method by proposing a heat loss model to the charging time energy fraction model. A finite volume model of a high-temperature thermal battery is used to validate the proposed heat loss model. The improved charging time energy fraction method is then used to characterize a high-temperature thermal battery by calibrating a model on 36 numerical charging experiments. The charging time prediction between energy fractions of 0 and 0.96 deviates maximally 2 % from the measured charging time over all 36 calibration experiments. The deviation increases near the end of the charging process, especially for slower charging experiments. Across the 36 calibration experiments, the worst prediction has an average absolute temperature difference of 0.50 degrees C with a maximum deviation of 2.58 degrees C at the very beginning of the charging where fast transients are occurring. The calibrated model is also compared to four numerical validation experiments and four real experiments. Overall it is shown that this low computational cost model with average calculation times of 2-3 ms can accurately predict the heat transfer fluid outlet temperature of latent thermal energy storage heat exchangers.".
- 01GJG4K3Y9MV4567KWF9VKZAPR author 0CD10294-F0EE-11E1-A9DE-61C894A0A6B4.
- 01GJG4K3Y9MV4567KWF9VKZAPR author 35E2C6E0-F0EE-11E1-A9DE-61C894A0A6B4.
- 01GJG4K3Y9MV4567KWF9VKZAPR author 36D11228-F0EE-11E1-A9DE-61C894A0A6B4.
- 01GJG4K3Y9MV4567KWF9VKZAPR author CBA21BC4-2D98-11E5-935A-5FA3B5D1D7B1.
- 01GJG4K3Y9MV4567KWF9VKZAPR author F4E40EEC-F0ED-11E1-A9DE-61C894A0A6B4.
- 01GJG4K3Y9MV4567KWF9VKZAPR dateCreated "2022-11-22T17:01:26Z".
- 01GJG4K3Y9MV4567KWF9VKZAPR dateModified "2024-12-12T10:21:14Z".
- 01GJG4K3Y9MV4567KWF9VKZAPR name "Characterization of a latent thermal energy storage heat exchanger using a charging time energy fraction method with a heat loss model".
- 01GJG4K3Y9MV4567KWF9VKZAPR pagination urn:uuid:efb9cb5e-9c2f-4356-9a4d-920e89d8b6d7.
- 01GJG4K3Y9MV4567KWF9VKZAPR sameAs LU-01GJG4K3Y9MV4567KWF9VKZAPR.
- 01GJG4K3Y9MV4567KWF9VKZAPR sourceOrganization urn:uuid:b27868a1-6468-4974-bffa-e3fda87b50d6.
- 01GJG4K3Y9MV4567KWF9VKZAPR type A1.