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Figure 1 summarizes the regeneration characterization for the hybrid material. It shows the energy density achieved from different regeneration temperatures. The adsorbent bed was regenerated with hot air at various temperatures to remove the moisture and then put through a 100% relative humidity adsorption cycle to measure the amount of energy stored. Regeneration was performed at various temperatures (80oC to 250oC) and superficial velocities (0.15 m/s, 0.3 m/s and 0.45m/s). The regeneration temperature has a non linear relationship (NLR) with the energy density which is also displayed in the figure. Experiments were performed on clinoptilolite as well to confirm the regeneration trend seen in the hybrid adsorbent. Clearly, although the energy densities are not as high for this natural zeolite, the trend is identical and the model still applies. Repeat experiments were performed to obtain a standard deviation of the energy density which is represented on the graph by error bars. The regeneration flow rate was not found to have a significant impact on the energy density. 250 200 150 100 50 0 0 50 100 150 200 250 300 Regeneration Temperature (°C) 0.3 m/s 0.45 m/s 0.15 m/s NLR Hybrid adsorbent Clinoptilolite NRL = ax b+x Figure 1: Regeneration characterization of the adsorbents studied. The final piece of the regeneration characterization is the efficiency of the thermal storage. The energy released during the adsorption cycle is divided by the amount of energy used during the regeneration process to determine the percentage of energy stored, or efficiency of the thermal storage, which is displayed in Figure 2 as a function of the regeneration temperature for different superficial velocities. The efficiency varies linearly with regeneration temperature between 30% and 50%. The efficiency decreases as temperature increases, likely because of the additional heat losses from operating at a higher temperature. Experiments were performed at various superficial velocities and all 3 Energy Density (kWh/m3)PDF Image | Study of Adsorbent Energy Density and Regeneration for Long Term Thermal Energy Storage
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