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Structural and functional design of WWTP operation decision support system with a case study
1State Key Joint Laboratory of Environment Simulation and Pollution Control, Department of Environmental Science and Engineering, Tsinghua University, Beijing 100084, China. xulijie@tsinghua.org.cn
Summary
A new Wastewater Treatment Plant Operation Decision Support System (ODSS) uses activated sludge models and expert knowledge to improve plant performance. This system aids operators in decision-making, leading to reduced treatment costs.
Area of Science:
- Environmental Engineering
- Water Treatment Technologies
Background:
- Wastewater treatment plants (WWTPs) require efficient operational strategies.
- Activated sludge models (ASMs) are crucial for simulating WWTP processes.
- Experiential knowledge plays a vital role in optimizing WWTP operations.
Purpose of the Study:
- To develop a novel Wastewater Treatment Plant Operation Decision Support System (ODSS).
- To integrate dynamic simulation based on ASMs and WWTP experiential knowledge.
- To enhance WWTP operational flexibility and provide general instructions.
Main Methods:
- Development of a multi-system ODSS comprising expert, simulation, and training sub-systems.
- Utilizing activated sludge models (ASMs) for dynamic process simulation.
- Incorporating WWTP experiential knowledge into an expert system.
Main Results:
- The ODSS demonstrated feasibility and effectiveness through implementation at Fang Zhuang WWTP.
- The expert system, powered by dynamic simulation, proved effective for operational support.
- The integrated system offers functions like operation alerts and fault diagnosis.
Conclusions:
- The WWTP ODSS has significant potential to improve plant performance.
- The system can assist operators in decision-making, leading to reduced treatment costs.
- ODSS offers a flexible and general approach to WWTP operations.