Project Description
I need a CFD-based numerical model that zooms in on how well the liquid desiccant in my solar-thermal dehumidification set-up actually works. The goal is to predict desiccant effectiveness under real operating conditions, with special attention to three tightly linked mechanisms: the adsorption rate inside the contactor, the high-temperature regeneration process driven by the solar loop, and how desiccant concentration shifts over time.
You are free to choose any reputable CFD platform—ANSYS Fluent, OpenFOAM, COMSOL, or an equivalent—as long as the final files can be opened and modified later. The geometry is relatively compact (a packed-bed absorber and a separate regenerator), yet the flow is coupled with heat and mass transfer, so please include conjugate heat transfer and species transport in your setup.
Deliverables
• Clean, well-commented CFD project files (geometry, mesh, solver settings, material properties)
• A short report summarising boundary conditions, governing equations implemented, mesh-independence check, and validation against at least one peer-reviewed data set or simple hand calculation
• Post-processing plots: temperature contours, moisture profiles, concentration curves, and numerical values for overall desiccant effectiveness under several inlet conditions
Acceptance Criteria
The model must converge consistently, show mesh independence, and predict desiccant effectiveness within ±10 % of published experimental benchmarks for at least one operating point.
If you have tackled liquid desiccant or solar thermal simulations before, tell me briefly; otherwise demonstrate solid CFD prowess. Looking forward to your insights on optimising this system.