Mainstream short-cut N removal modelling: current status and perspectives
Gamze Kirim1, Kester McCullough2, Thiago Bressani-Ribeiro3
1modelEAU, Université Laval, 1065 avenue de la Médecine, Québec, QC G1 V 0A6, Canada E-mail: gamze.kirim.1@ulaval.ca; CentrEau, Quebec Water Research Centre, 1065 avenue de la Médecine, Québec, QC G1 V 0A6, Canada.
Summary
Mathematical models are crucial for advancing short-cut nitrogen removal in wastewater treatment. This study reviews current modeling, challenges, and future research to optimize deammonification and nitrite-shunt processes for practical application.
Area of Science:
- Environmental Engineering
- Wastewater Treatment Technologies
- Biogeochemical Cycles
Background:
- Conventional nitrogen removal processes are energy-intensive.
- Short-cut nitrogen removal (SNr) offers a more efficient alternative.
- Mathematical modeling is essential for optimizing SNr processes.
Purpose of the Study:
- To provide an overview of the state-of-the-art in modeling SNr processes.
- To identify challenges and limitations in current modeling approaches.
- To present future research perspectives for SNr process optimization.
Main Methods:
- Literature review of existing mathematical models for SNr.
- Analysis of modeling status for deammonification and nitrite-shunt processes.
- Consideration of N2O emissions in SNr process modeling.
Main Results:
- Current models for deammonification and nitrite-shunt processes have limitations.
- Mathematical models are vital for managing N2O emissions in SNr.
- There is a need for new and advanced modeling approaches.
Conclusions:
- Existing and future mathematical models can accelerate the successful implementation of mainstream SNr.
- Further research is needed to develop more robust and comprehensive models.
- Optimized SNr processes can lead to more sustainable wastewater treatment.
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