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

Experimental data Optimizing alkaline solvent is a M.Tech project topic for Chemical Engineering. Explore the IEEE-style abstract, reference paper, PDF…

Experimental data Optimizing alkaline solvent is a M.Tech project topic for Chemical Engineering. It gives students a clear starting point for research, implementation planning, and documentation.

Experimental data Optimizing alkaline solvent Project Details

Abstract

This project looks at how to evaluate and improve alkaline‑solvent regeneration using bipolar‑membrane electrodialysis (BMED) for carbon capture. Conventional thermal regeneration of alkaline solvents needs a lot of energy, which makes large‑scale use difficult. BMED provides an electro‑chemical alternative that can cut energy use. It works by splitting water at the bipolar‑membrane interface, producing separate acid and base streams. The project gives step‑by‑step guidance for working with experimental data to tune key operating variables such as: – current density – feed concentration – membrane layout – overall energy consumption Using mathematical models, statistical tools, or process simulations based on the data, students can assess the BMED system’s mass‑transfer rates, current

efficiency, and specific energy consumption. The goal is to help develop scalable, low‑carbon solvent‑regeneration methods that move green chemical engineering and sustainable carbon‑capture technologies forward. This work also serves as a detailed reference for writing academic reviews and performing parametric studies of electrochemical regeneration systems.

Reference Paper Experimental data: Optimizing alkaline solvent regeneration through bipolar membrane electrodialysis for carbon capture
Domain Chemical Engineering
Sub-Domain Environmental & Energy / Green Chemical Engineering / Carbon Capture
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