A simulation-aided factorial analysis approach for characterizing interactive effects of system factors on composting...

Area of Science:

• Environmental Science
• Biotechnology
• Chemical Engineering

Background:

• Composting processes are influenced by multiple factors, including temperature, moisture, oxygen, and biomass concentration.
• Understanding the interactive effects of these factors is crucial for optimizing composting efficiency.

Purpose of the Study:

• To characterize the interactive effects of key composting factors on composting processes using a simulation-aided approach.
• To identify significant factors and their interactions at different composting stages.

Main Methods:

• A 2-level factorial analysis approach was employed, aided by simulation.
• Normal probability plots were used to analyze results and screen important effect factors, especially when high-order interactions were present.

Main Results:

• Composting factors exhibited varying effects across different stages of the process.
• At 24 hours, factors showed no significant effects. At 72 hours (active stage), factors and their interactions were highly significant.
• By 144 hours, temperature and oxygen content retained some effect, though less pronounced than during the active stage.

Conclusions:

• The influence of composting factors and their interactions varies significantly with the stage of the composting process.
• Findings provide valuable insights for operational guidance, management, and the development of control strategies for composting.
• This approach aids in understanding complex interactions for optimized composting outcomes.