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Generating energy models from scratch is a costly and time consuming task. A detailed energy model can have thousands of input parameters that are necessary for a complete simulation of a building. A solution to this problem is the AutoBEMGen framework.

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Flue gas, and other industrial, gaseous waste streams are popular targets for CO2 sequestration technologies since the CO2 concentration is much higher compared to atmospheric concentrations.

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In our work, we contribute to developing the concept of passive CO2 DAC by designing and testing a hybrid sorption system. In our design, we aimed at leveraging the advantages of CO2 solubility and selectivity offered by materials with selective sorption of adsorbents.