Optimization of CO2 Capture Process using Zeolite 13X in gPROMS

Semester project or Master thesis
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Aim

This semester project is designed to advance the understanding and efficiency of CO2 capture processes using Temperature Swing Adsorption (TSA) technology, with a specific focus on zeolite 13X as the adsorbent. Leveraging the capabilities of the gPROMS modeling environment (the tool is similar to aspen plus) , the project aims to optimize an existing temperature swing model to enhance CO2 capture efficiency, reduce energy requirements, and evaluate the process’s economic viability.

Objectives

Model Refinement and Validation

  • To refine and validate the existing TSA model in gPROMS using zeolite 13X as the adsorbent, ensuring accurate representation of physical and chemical phenomena.

Optimization of Operational Parameters

  • To systematically investigate the effects of key operational parameters such as adsorption temperature, desorption temperature, pressure, and cycle duration on the process’s efficiency and capacity for CO2 capture.

Techno-Economic Analysis

  • To perform a detailed techno-economic analysis, assessing the optimized process in terms of capital expenditure (CAPEX), operational expenditure (OPEX), energy consumption, and potential return on investment (ROI).

Sustainability Assessment

  • To evaluate the environmental impact of the optimized CO2 capture process, considering the reduction in greenhouse gas emissions and the potential for sustainable operation.

Skills Required

  • Strong foundation in chemical engineering principles, especially in separation processes and adsorption technologies.
  • Proficiency in process flowsheeting tools such as aspen plus for modeling and simulation.
  • Ability to perform data analysis and optimization.
  • Critical thinking and problem-solving skills.
  • Effective communication and report writing in English.
  • Independent and motivated with a keen interest in sustainability and carbon capture technologies.

Supervision

Interested students are encouraged to apply by sending their CV, a cover letter, and academic transcripts to the project supervisor. Shortlisted candidates will be contacted for an interview. Early applications are preferred to ensure adequate time for project completion. email address to contact- sanjay.venkatachalam@epfl.ch

Practical Information

The project will be conducted under the supervision of Sanjay Venkatachalam, with options to work from the EPFL Sion campus or remotely.