A generalized modeling method is introduced and used to evaluate thermal energy storage (TES) performance. The method describes TES performance metrics in terms of three efficiencies: first-law efficiency, second-law efficiency, and storage effectiveness. By capturing all efficiencies in a systematic way, various TES technologies can be compared on an equal footing before more detailed simulations of the components and concentrating solar power (CSP) system are performed. The generalized performance metrics are applied to the particle-TES concept in a novel CSP thermal system design. The CSP thermal system has an integrated particle receiver and fluidized-bed heat exchanger, which uses gas/solid two-phase flow as the heat-transfer fluid, and solid particles as the heat carrier and storage medium. The TES method can potentially achieve high temperatures (>800 °C) and high thermal efficiency economically.

Significant increases in the heat capacity of heat transfer fluids are needed not only to reduce the costs of liquid heating and cooling processes, but also to bring clean energy producing technologies like concentrating solar power (CSP) to price parity with conventional energy generation. It has been postulated that nanofluids could have higher heat capacities than conventional fluids. In this work, nano- and micron-sized particles were added to five base fluids (poly-α olefin, mineral oil, ethylene glycol, a mixture of water and ethylene glycol, and calcium nitrate tetrahydrate), and the resulting heat capacities were measured and compared with those of the neat base fluids and the weighted average of the heat capacities of the components. The particles used were inert metals and metal oxides that did not undergo any phase transitions over the temperature range studied. In the nanofluids studied here, we found no increase in heat capacity upon the addition of the particles larger than the experimental error.

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