Scale-Up Validation Tool
Scale-up EngineeringPerformance OptimizationPilot-scale SystemsMulti-reactor DesignEconomic Analysis
This tool implements Sunil Patil's empirical scaling factors for predicting MFC performance at pilot and demonstration scales.
Based on real pilot-scale data from 100L to 1000L systems with systematic analysis of degradation factors and mitigation strategies.
Scale-Up Parameters
Lab Scale Performance
Target Scale
Scale-Up Predictions
288
Predicted Power Density (mW/m²)
33.9% of lab scale
144.14
Total Power Output (W)
HIGH RISK
$79.5
Payback Period (years)
Capital: $15,050,000
Performance Degradation Analysis
Mixing Efficiency
30.0% loss
medium impact
Mass Transfer Limitation
25.0% loss
medium impact
pH Gradients
20.0% loss
low impact
Surface Area Scaling
15.0% loss
low impact
Thermal Management
5.0% loss
low impact