Tag: HEAT TRANSFER
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S-ST-1-18 Modified Tubeside Heat Transfer Method for Supercritical Carbon Dioxide and Water
July 10, 2023
Further analysis of data summarized in STG-22 leads to a simplified modeling option that improves the prediction of tubeside heat transfer data reported in literature for supercritical water and carbon dioxide. The new approach applies a multiplier to the HTRI single-phase correlation and decreases the heat transfer overprediction near the maximum...
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Educational: Analyzing the Sensitivity of Process Heat Transfer Models
June 21, 2023
Process heat transfer models produce different results depending on the specific range(s) of input used. Ensuring that a model is robust and accurate across the range of inputs involves determining the amount or degree of that variation. This sensitivity analysis allows both physical and black-box models to be refocused or refined...
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S-ST-1-17 Using Neural Networks for Predicting Nusselt Number for Intube Laminar Flows
July 25, 2022
Neural networks can be used to predict the Nusselt number for intube laminar flow. In addition to describing the architecture of a neural network, this report discusses the application of a neural network to a manufactured data set, open literature data, HTRI data, and CFD simulation results. Our results illustrate the...
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