Multi-Objective Pareto Optimization
Explore Saikaly's Multi-Objective Framework
Energy Focus
Maximize net energy production
- • High organic loading (2.0-2.5 kg COD/m³/day)
- • Shorter HRT (6-10 hours)
- • Carbon brush anodes
- • May compromise treatment quality
Treatment Focus
Maximize COD removal efficiency
- • Longer HRT (18-24 hours)
- • Moderate loading (1.0-1.5 kg COD/m³/day)
- • Optimal pH and temperature
- • Lower energy production
Economic Focus
Maximize economic value
- • Balance energy and treatment
- • Cost-effective materials
- • Optimal throughput (HRT: 10-14h)
- • Consider regional energy prices
Pareto Frontier Concept
Points on the Pareto frontier represent optimal trade-offs where improving one objective requires sacrificing another. Use the tool to discover these optimal configurations for your constraints.
Real-World Application
Municipal utilities prioritize treatment efficiency, while industrial applications may favor energy production. The tool helps identify optimal configurations for your specific priorities.
Research Challenge: Try the three optimization buttons (Energy, Treatment, Economic) and compare the resulting configurations. Notice how the trade-offs align with Saikaly's published results. Which configuration would work best for YOUR application?
Multi-Objective System Parameters
Reactor Configuration
Operating Conditions
Materials
Current Performance vs Pareto Optimal
Pareto Optimal Configurations
Max Energy Production
Max COD Removal
Balanced Performance
Economic Optimum
High-Rate Treatment
Saikaly's Trade-off Insights
Energy vs Treatment Trade-off
Higher organic loading increases energy production but may reduce treatment efficiency. Optimal balance occurs at 1.8-2.2 kg COD/m³/day for most systems.
HRT Optimization
Longer HRT improves treatment but reduces throughput. Economic optimum typically occurs at 10-14 hours for municipal wastewater.
Material Selection Impact
Carbon brush anodes increase performance by 20-30% but double material costs. Platinum cathodes offer highest efficiency but may not be economically viable at scale.