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model and the explicit finite-NTU model at various values of NTU with sufficient numerical resolution to negate numerical error along with the time step constraint in equation [6.3.23]. Numerical error is defined here as the discrepancy between predicted system performance at a given resolution and the system performance predicted if the number of nodes goes to infinity. Figure 6.18 shows the results of this simulation, indicating the error incurred by using the infinite-NTU model as a function of system NTU. Figure 6.18: The performance of the infinite-NTU model relative to the simplified explicit model for various values of fluid NTU For values of NTU > ~100 the error incurred by using the infinite-NTU model is less than ~3%. An NTU of 100 corresponds to h~25 W/m2-K for the test conditions. By comparison, equation [6.3.12] and the Jeffreson correlation predict h~180 W/m2-K and NTU~500 for the test conditions. For an NTU of 500 the infinite-NTU model imposes error of less than 1% indicating it would be appropriate for the test conditions. The test case represents a realistic storage design indicating that for most solar-thermal powerplant storage simulation the infinite-NTU model represents a valid assumption. It is necessary to understand the relationship between mesh precision and solution accuracy. This relationship will determine the maximum speed (minimum mesh size) at which the models can be run while maintaining accuracy. Figure 6.19 shows cyclic 117PDF Image | Organic Rankine Cycle Solar-Thermal Powerplants
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