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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 1,495 records · Page 83
All sourcesNASA NTRSDOE OSTI
DOE OSTI2019

Purification of Gas and Liquid Streams Using Composite Sorbents Embedded in a Polyacrylonitrile Matrix

As new sorbents are developed for purifying gases or fluids via physisorption and/or chemisorption processes, the push is typically to increase the available specific surface area (SSA) to maximize the available binding sites for capturing various species of interest. One downfall to making a sorbent more porous is that it often leads to a product that is fragile or friable and can be damaged (resulting in unwanted powders), thus imposing process limitations. Techniques can be used to enhance the mechanical integrity of a sorbent including heat treatments or pelletization with extrusion or granulation processes but these can result in collapsed, unavailable pore structures within the sorbent, which leads to decreased diffusivity and eventual reduction of desired capacities of target species. An alternative approach for improving the mechanical integrity of the sorbent is to bind it (or encapsulate it) within a porous matrix that passively holds the sorbent in place. Typically, this approach leads to a decrease in sorption efficiency on the basis of starting sorbent mass, because the active sorbent is diluted by the binding matrix material and the active surfaces of the sorbent are somewhat obscured by the binding matrix, but it comes with the advantage that the active sorbent is held in place and better protected from powderization during operation. One approach to accomplish this is to embed the active sorbent in a macroporous passive polyacrylonitrile (PAN) matrix to create a composite sorbent. When optimized, the PAN matrix is highly porous and allows for gaseous or aqueous media transport through the product providing adequate binding site access between the active sorbent and the species of interest. Including a polymer in the composite sorbent limits the maximum operating temperature above which the composite sorbent incurs loss of structural integrity (e.g., decomposes) and/or reduction in SSA. Composite sorbents have been demonstrated with sulfide aerogels (SnS-PAN) for capturing I2(g), hydrogen mordenite (HZ-PAN) and silver-exchanged mordenite (AgZ-PAN) for capturing Kr and Xe, nano-particle metal oxides (N-CAS) for removing arsenic from water, ammonium molybdophosphate (AMP-PAN) for removing 137Cs from aqueous nuclear waste streams, and the phosphate sponge (TPS) composite, which is being used to remove inorganic and orthophosphates from water treatment processes to mitigate introduction to the environment impeding toxic algae bloom formations. This chapter provides details on production of these materials along with options to optimize of the synthesis process. It also includes experimental techniques to characterize products and assess their performances.

polyacrylonitrile, aerogel, gaseous capture, aqueo↗
DOE OSTI2021

Automated Parameterized CFD Simulations of Phase-Change Material Embedded Heat Exchangers

Thermal storage can be implemented using Phase-Change Materials (PCM), which absorb significant latent heat with a relatively small temperature change. PCM phase-change processes are transient and are driven by thermal diffusion and natural convection – the latter, especially for melting process. Modeling and simulation of PCM heat exchangers is typically computationally intensive due to the relative complex time-dependent underlying physics. This paper presents a study investigating a single straight tube with circular transverse fins in the vertical orientation, using PCM’s with 37oC nominal melting temperature, leveraging automated parametric CFD simulations. The computational domain is reduced to 2D axisymmetric for a segment of the HX comprising a region in between two fins with constant wall temperature as boundary condition. This approach allows for faster evaluations of the transient thermal characteristics for a given design space of interest. Correlations and reduced order models (ROM’s) are developed. Results indicate that the ROM’s reproduce the CFD simulations with high accuracy for designs from the training data set, however, designs from cross-validation and test sets do not always have good agreement. The limited number of designs in the training set is a possible cause for the lack of robustness of the ROM’s and thus additional training designs will be added in future work. The ROM’s solve the simulations on average 500,000 times faster than CFD.

25 ENERGY STORAGE↗