Experimental data: Optimizing alkaline solvent regeneration through bipolar membrane electrodialysis for carbon capture

This dataset contains data collected during experiments on optimising alkaline solvent regeneration through bipolar membrane electrodialysis for carbon capture. The objective of the research was to investigate and optimize the regeneration of alkaline solvents through bipolar membrane electrodialysis (BMED), a process employed for carbon capture. A laboratory-scale BMED system was operated under various conditions, including changes in rich solvent carbon loading, potassium load ratio, and applied current density. Numerous liquid and gas samples were collected and analyzed during the experiments. BMED performance was evaluated based on the following parameters: CO₂ flow rate; pH of the acidic and alkaline compartments; potassium concentration in the influent and acidic compartments; total inorganic carbon concentration in the influent, acidic, and alkaline compartments; applied current density; measured total voltage; and anode and cathode potentials. This research data is being made public to serve as supplementary data for this publication and to allow other researchers to use it in their own work. This work was performed at Wetsus, European Centre of Excellence for Sustainable Water Technology, between July 2022 and January 2023. It is being made public both to act as supplementary data for publication and in order for other researchers to use this data in their own work.

本数据集收录了针对碳捕获领域中通过双极膜电渗析（Bipolar Membrane Electrodialysis, BMED）工艺优化碱性溶剂再生的实验采集数据。本研究的目标为探究并优化双极膜电渗析（BMED）工艺用于碳捕获时的碱性溶剂再生效果。实验采用实验室规模的BMED系统，在多种工况下运行，调控变量包括富溶剂碳负载量、钾负载比以及施加电流密度。实验过程中采集并分析了大量液体与气体样本。本研究通过以下参数评估BMED系统性能：二氧化碳流速、酸性与碱性腔室的pH值、进水及酸性腔室中的钾离子浓度、进水、酸性及碱性腔室中的总无机碳浓度、施加电流密度、实测总电压，以及阳极与阴极电位。本研究公开此类实验数据，旨在作为本出版物的补充资料，并供其他研究人员在其研究工作中复用。本研究于2022年7月至2023年1月期间，在欧洲可持续水技术卓越中心Wetsus开展。本次公开该研究数据，既是为了作为本出版物的补充资料，也可供其他研究人员在其工作中复用该数据集。