Six-Lump Hydrocracking Model
Budget: $30 – $250 USD
I want a rigorous, six-lump kinetic model of my hydrocracking reactor, which runs at 370 to 380°C and 175 bar. The lumps are gas, naphtha, kerosene, diesel, unconverted material, and the fresh VGO feed. My overriding goal is to optimise total product yield and study effect of temperature, feed composition, hydrogen ratio while specifically pushing the diesel and kerosen cut as high as possible.
To get there, the model has to let me vary temperature, feed composition, and hydrogen partial pressure and immediately see how each of those factors changes diesel yield. Rate expressions, activation energies, and selectivity terms should therefore be explicit and easy to edit so the tool can serve future optimisation work.
What I need from you
• A well-commented Python, or similar code set that solves the material- and energy-balance equations for all six lumps.
• Validation runs that demonstrate mass-balance closure and sensible conversion/selectivity values at the base case (370 °C, 170 bar).
• Sensitivity sweeps and clear plots that reveal diesel-yield trends when temperature, feed quality, and hydrogen concentration are each moved across typical operating windows.
• A brief technical note or notebook explaining assumptions, parameters, and how to adjust them.
I will sign off once the model reproduces realistic conversion levels, generates coherent diesel-yield curves across the three study variables, and the code is clean enough for me to expand later.
To get there, the model has to let me vary temperature, feed composition, and hydrogen partial pressure and immediately see how each of those factors changes diesel yield. Rate expressions, activation energies, and selectivity terms should therefore be explicit and easy to edit so the tool can serve future optimisation work.
What I need from you
• A well-commented Python, or similar code set that solves the material- and energy-balance equations for all six lumps.
• Validation runs that demonstrate mass-balance closure and sensible conversion/selectivity values at the base case (370 °C, 170 bar).
• Sensitivity sweeps and clear plots that reveal diesel-yield trends when temperature, feed quality, and hydrogen concentration are each moved across typical operating windows.
• A brief technical note or notebook explaining assumptions, parameters, and how to adjust them.
I will sign off once the model reproduces realistic conversion levels, generates coherent diesel-yield curves across the three study variables, and the code is clean enough for me to expand later.