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PILOT STORAGE SYSTEM PERFORMANCE AND VALIDATION Validation of system performance is done through direct comparison between measured sensor values and numerically simulated performance. An advanced Matlab-Simulink model with a fluid structure interaction model based on the finite element method has been developed for accurately predicting the TES system performance. By simulating and comparing the TES inlet/outlet temperature profiles after commissioning to later results proves the stability and robustness of the TES. Figure 7 shows one charge/discharge cycle after the system was commissioned during early phase, and Figure 8 shows results from cycling after more than 1000 hours of operation. The difference in simulated versus measured performance after operation for 1000 hours is nearly indistinguishable. Even more importantly, the TES as whole shows absolutely no sign of degradation. The difference between measured and simulated cold side temperatures during charge in Fig. 7 is due to differences between real and modelled initial temperature conditions of the TES. However, the match is near perfect at the end of charge period and during discharge, thus the model represents the true TES energy and temperature state when the discharge begins. FIGURE 7. Simulated and recorded HTF inlet/outlet temperatures for one 250 kWhth cycle after commissioning. FIGURE 8. Simulated and recorded HTF inlet/outlet temperatures for 250 kWhth cycles after > 1000 operating hours. PERFORMANCE OF LARGE-SCALE STORAGE SYSTEM As reported in the previous section, EnergyNest’s simulation tool calculates performance of the TES with high degree of accuracy. This tool has also, among other cases, been used to simulate performance of a specific large-scale TES in a commercial application. The case study considers a 1300 MWhth TES in a 50 MWel (net) parabolic trough CSP plant with thermal oil HTF. A reference two-tank indirect molten salt TES is used for performance comparison and benchmarking of the EnergyNest technology. The simulation model used to calculate gross power block output during TES discharge is based on an empirical model of a 30 MWel SEGS VI power block, scaled to 50 MWel as reported in [6]. The model calculates gross power output based on HTF mass flow and inlet temperature to the steam generator; hence it considers the effect of decreasing HTF temperature on steam cycle efficiency. The performance 080011-6PDF Image | EnergyNest thermal energy storage (TES) technology
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