Generation of diurnal variation for influent data for dynamic simulation.

Area of Science:

• Environmental Engineering
• Wastewater Treatment
• Process Simulation

Background:

• Dynamic simulation of activated sludge (AS) plants requires diurnal influent data.
• Measured influent data is often unavailable during the design phase.

Purpose of the Study:

• To present a simple method for generating realistic diurnal variations in wastewater flow and concentrations.
• To provide essential influent data for AS plant design and fine-tuning.

Main Methods:

• Development of a method to simulate diurnal variations in wastewater flow.
• Generation of diurnal variations for key wastewater concentrations (e.g., TKN, COD).
• Focus on realistic TKN/COD ratios in generated data.

Main Results:

• A straightforward method for creating synthetic diurnal influent data was established.
• The generated data realistically reflects variations in flow and concentrations.
• The method ensures appropriate TKN/COD ratios for simulation purposes.

Conclusions:

• The proposed method offers a practical solution for obtaining necessary influent data for AS plant dynamic simulations.
• This approach aids in the effective fine-tuning and design of activated sludge systems.
• The work contributes to the HSG-Sim framework for wastewater treatment simulation.