Design of an Efficient Carbon Capture and Storage System for Munyati Power Station

Job ID: 39779993

Budget: $30 – $250 USD

Project Description – Postgraduate Dissertation Support

I am finalising a postgraduate dissertation titled “Design of an Efficient Carbon Capture and Storage (CCS) / DeNOx System for Munyati Power Station.” The work involves developing and validating a flue gas treatment system model using ANSYS (Fluent & Mechanical) and SolidWorks Flow Simulation.

I already have the proposal, literature framework, and some baseline calculations, but I need an experienced CFD/CAE simulation specialist to help ensure the dissertation is technically rigorous, publication-ready, and defense-proof.

Where I Need Support

Simulation setup – reviewing and refining geometry, boundary conditions, mesh independence tests, turbulence/chemical reaction models, and setting up parametric scenarios.

Data analysis – extracting validated data, generating performance curves (CO₂ capture efficiency, NOx removal %, energy penalty, pressure drops), and running sensitivity studies.

Interpreting results – linking simulation outputs to environmental/engineering objectives, validating the design feasibility, and supporting dissertation discussion chapters.

Dissertation support – reviewing draft chapters for technical accuracy, figures, and consistency between simulation data and narrative.

Typical Tasks

Refining the CAD geometry (SCR reactor, flue gas ducts, catalyst layers).

Advising on turbulence models, species transport, and multiphase flow.

Setting up and validating CFD runs in Fluent and SolidWorks.

Post-processing outputs: pressure fields, velocity distributions, CO₂ absorption rates, NOx reduction efficiencies.

Documenting assumptions, convergence checks, and result interpretation.

Deliverables

Complete ANSYS project files and SolidWorks pack-and-go folder ready for dissertation submission.

Annotated results (contour plots, graphs, tables) showing pressure, velocity, temperature, pollutant concentrations, and efficiency metrics.

Technical note summarising assumptions, solver settings, validation steps, and how findings answer the dissertation objectives.

Guidance on dissertation chapters (Methods, Results, Discussion) to align simulation outputs with academic expectations.

Engagement & Milestones

Work will be structured in milestones (simulation setup → data extraction → analysis → final reporting).

Regular screen-sharing sessions and file sharing via GitHub/Google Drive/OneDrive.

Timelines aligned with supervisor deadlines.

Ideal Freelancer: Mechanical/energy/environmental engineer with advanced CFD/ANSYS/SolidWorks experience, strong academic writing background, and previous work on combustion emissions, CCS, or DeNOx systems.