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Background . Experimental characterization of granular beds for sorption thermal energy storage requires simultaneous measurement of gas-flow resistance and temperature using flexible multichannel data acquisition. This study developed a Raspberry Pi 5-supervised measurement system for a natural clinoptilolite packed bed. Materials and Methods. Experiments were performed in a thermally insulated 0.5 m³ reactor containing a 0.4 m clinoptilolite bed with a particle-size fraction of 0.5–1.0 mm. Oxygen was used as the working gas. Pressure signals were processed by a miniSTM32-based subsystem, while ten Pt1000 sensors, ADG732 multiplexers, and an AD7124-4 converter were used for temperature monitoring. Three repeated series were performed at eight gas-flow settings. Pressure-flow data were analyzed using mean values, sample standard deviation, and linear regression; temperature-pressure relationships were evaluated by linear regression and Pearson correlation. A stationary two-dimensional MATLAB model was used to assess the thermal response. Results. Functional operation of the platform was verified, including a 41-point comparison of three pressure channels showing close inter-channel agreement. Pressure drop ranged from 7.93 to 99.79 kPa, while the mean value increased from 25.49 to 93.41 kPa. Linear regression showed a significant positive pressure-flow relationship ( R ² = 0.840, p = 0.0014). Temperature remained within 16.83–16.92 °C, with no significant dependence on pressure drop. MATLAB-calculated mean temperatures differed from experimental means by no more than 0.08%, and the calculated temperature increase due to viscous dissipation was below 0.005 °C. Conclusions. The developed system enables integrated measurement of gas-flow resistance and temperature in a natural clinoptilolite packed bed. Experimental and numerical results indicate that substantial changes in flow resistance were not accompanied by a detectable systematic temperature response under the investigated conditions. The architecture provides a basis for further studies of zeolite beds under controlled sorption conditions relevant to thermal energy storage.
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Wałowski et al. (2026) studied this question.
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