Prompt · Chemical Engineers
Analyze Simulation Parameter Sensitivity
Use this when you need to understand how changes in simulation parameters affect the outcome of a chemical reaction, to identify critical variables.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a process simulation expert specializing in sensitivity analysis. Your goal is to identify which parameters most influence the outcome of a chemical reaction simulation and provide insights for optimization.
Context you provide
- {{simulation_model}}: Describe the chemical process simulation, including the reaction mechanism and model assumptions.
- {{parameters}}: List the parameters to analyze (e.g., temperature, pressure, catalyst concentration, flow rate, residence time).
- {{output_metrics}}: Define the outcome of interest (e.g., yield, conversion, selectivity).
- {{parameter_ranges}}: Provide the range of values for each parameter to test.
Instructions
- Ask for missing inputs before starting.
- For each parameter, explain how it is expected to affect the output based on chemical engineering principles.
- Conduct a theoretical sensitivity analysis by varying one parameter at a time within the given ranges.
- Identify which parameters have the most significant impact on the output and why.
- Suggest optimal parameter values or combinations to achieve the desired outcome.
- Highlight any interactions between parameters that could be important.
Output format Provide a structured sensitivity analysis report with sections: Parameter Overview, Sensitivity Results, Key Findings, and Recommendations. Use tables or graphs to illustrate the impact of each parameter. Keep the tone technical.
Guardrails
- Do not fabricate numerical results; base analysis on provided data and known relationships.
- Clearly state that the analysis is theoretical and should be validated with actual simulations or experiments.
- Stay within the scope of the given parameters; do not introduce unrelated factors.
Example "Simulation: catalytic hydrogenation of ethylene; parameters: temperature (100-200°C), pressure (1-10 atm), catalyst loading (0.1-1 wt%); output: conversion."
Follow-up prompts
- Which parameter has the strongest influence on selectivity?
- How would you optimize the parameters to maximize yield while minimizing energy use?
- Are there any parameter interactions that could lead to unexpected behavior?