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Updated: Jan 31, 2026
06:17
Medium Preparation for the Cultivation of Microorganisms under Strictly Anaerobic/Anoxic Conditions
Published on: August 15, 2019
29.8K
Modeling and performance improvement of an anaerobic-anoxic/nitrifying-induced crystallization process via the
Hongliang Dai1,2, Wenliang Chen2, Lihong Peng2
1School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, No. 2 Mengxi Road, Zhenjiang, 212018, People's Republic of China.
Environmental Science and Pollution Research International
|January 5, 2019
Summary
Optimizing the anaerobic-anoxic/nitrifying/induced crystallization (A2N-IC) process using multi-objective optimization improved effluent quality and reduced costs. This method effectively balances energy savings and emission reductions in wastewater treatment.
Area of Science:
- Environmental Engineering
- Wastewater Treatment Technologies
- Process Optimization
Background:
- Activated sludge processes face a trade-off between energy savings and emission reductions.
- The anaerobic-anoxic/nitrifying/induced crystallization (A2N-IC) process requires optimal modification to balance conflicting objectives.
- Multi-objective optimization is a key approach for addressing complex environmental engineering challenges.
Purpose of the Study:
- To optimize the anaerobic-anoxic/nitrifying/induced crystallization (A2N-IC) process using a multi-objective optimization method.
- To investigate the trade-off relationships among effluent quality (EQ), operation cost (OC), and total volume (TV) under dynamic influent conditions.
- To evaluate the effectiveness of the non-dominated sorting genetic algorithm II (NSGA-II) for activated sludge process modification.
Main Methods:
- Developed a multi-objective optimization model incorporating EQ, OC, and TV as evaluative indices.
- Utilized 14 process parameters as decision variables within the NSGA-II framework in MATLAB.
- Simulated a 30-day dynamic influent scenario with varying constraint conditions to obtain Pareto solutions.
Main Results:
- Achieved improved effluent concentrations for chemical oxygen demand (COD), total nitrogen (TN), ammonia-nitrogen (NH4+-N), and total phosphorus (TP).
- Demonstrated a reduction in average effluent concentrations by 2.22 mg/L (COD), 0.47 mg/L (TN), 0.13 mg/L (NH4+-N), and 0.02 mg/L (TP).
- Optimized EQ decreased from 0.015 kg/day to 0.0023 kg/day, OC decreased from 0.15 ¥/m³ to 0.12 ¥/m³, while TV slightly increased from 0.31 to 0.33 m³.
Conclusions:
- The multi-objective optimization method, specifically NSGA-II, is effective for modifying activated sludge processes.
- The study successfully identified Pareto solutions, demonstrating the trade-offs between effluent quality, operational cost, and structural volume.
- The optimized A2N-IC process offers a viable strategy for enhancing wastewater treatment efficiency and sustainability.
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