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    Feasibility assessment of a spray tower for gas-liquid reactive precipitation in CO2 capture

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    The industrial deployment of capture technologies for purifying gases with low partial pressure (e.g., flue gas) has been limited due to substantial economic hurdles. Process intensification offers a pathway to enhance the cost efficiency of sequestration. One approach that has garnered significant attention is the process integration of phase-change absorbents. Among these, bis(iminoguanidines) have shown considerable promise in recent literature. Particularly, glyoxal-bis(iminoguanidine) (GBIG) has demonstrated the ability to precipitate with low regeneration energy demand. However, GBIG and comparable phase-change absorbents require the integration of alkaline scrubbing with reactive precipitation in a single unit operation (gas-liquid reactive precipitation), introducing operational challenges such as scaling and clogging in conventionally applied packed-bed columns. To mitigate these issues, this study investigates the use of a spray tower as a gas-liquid reactive precipitator for capture from a flue gas surrogate. A pilot-scale spray tower is designed, constructed, and operated. Contrary to expectations, Rayleigh breakup of liquid jets induces a bimodal droplet size distribution in the lower sections of the tower, indicating limited scalability and highlighting the need for liquid recycling. For comparative purposes, the investigation includes a -precipitating system () and a non-precipitating system (), alongside GBIG. All systems demonstrate stable operability in single-pass and batch modes. During liquid recycling, small amounts of solids are entrained to the tower top. Nevertheless, no evidence of scaling or clogging is detected at the orifice plate, suggesting that the precipitated solids are significantly smaller than the orifice diameter. In the final performance comparison, the system demonstrates superior capture efficiency relative to the system. However, achieving this efficiency comes at the expense of process kinetics

    Beyond Phase Equilibria: Selecting Suitable Solvent Systems for Reactive Extraction of Carboxylic Acids

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    Reactive extraction is an attractive separation technology that can replace energy-intensive water evaporation steps in the industrial production of carboxylic acids. We systematically review the current literature on the extraction of low-value bioproducts and thereby identify the reduced availability of predictive models, limited selectivity, and challenging phase separation as possible bottlenecks in the industrial implementation of reactive extraction. Furthermore, we discuss requirements and strategies for closing the material cycles for batch and continuous processes. With these challenges in mind, we analyze the most widely used extractants (trioctylamine, trioctylphosphine oxide, and tributyl phosphate) in combination with common diluents (e.g., long-chain alcohols and alkanes) in terms of their ability to meet process needs. We illustrate the subordinate role of equilibrium constants in overall process design while emphasizing the potential for flexible reactive extraction systems tailored to process requirements

    Quantum resources in resource management systems

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    Quantum computing resources are increasingly being incorporated into high-performance computing (HPC) environments as co-processors for hybrid workloads. To support this paradigm, quantum devices must be treated as schedulable first-class resources within existing HPC infrastructure. This enables consistent workload management, unified resource visibility, and support for hybrid quantum-classical job execution models. This paper presents a reference architecture and implementation for the integration of quantum computing resources, both on-premises and cloud-hosted into HPC centers via standard workload managers. We introduce a Slurm plugin designed to abstract and control quantum backends, enabling seamless resource scheduling, minimizing queue duplication, and supporting job co-scheduling with classical compute nodes. The architecture supports heterogeneous quantum resources and can be extended to any workload (and container) management systems

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