DefinePK

DefinePK hosts the largest index of Pakistani journals, research articles, news headlines, and videos. It also offers chapter-level book search.

NITROGEN REMOVAL FROM WASTEWATER TREATMENT


Article Information

Title: NITROGEN REMOVAL FROM WASTEWATER TREATMENT

Authors: Z.A. Dasti

Journal: Pakistan Journal of Science (PJS)

HEC Recognition History
Category From To
Y 2024-10-01 2025-12-31
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2020-07-01 2021-06-30
Y 1900-01-01 2005-06-30

Publisher: Advance Educational Institute & Research Centre

Country: Pakistan

Year: 2022

Volume: 74

Issue: 2

Language: English

Keywords: side streamEnergy efficientBNR technology and recovery of water.

Categories

Abstract

The methodologies for genetic nitrogen removal and improvement through the dirtywater
have been précised in this study. Although there are some low energy options, like as denitritation
and the proficient partial Ammonium that has been displayed in a well manner for sidewatercourse
treatment and is growing towards the normal applications, and the usually usedtechnology of BNR is one of the energy exhaustive. Cell absorption with photographs may get betternitrogen, but bottleneck having solids division and space needs maximum applicability to the tertiarymanagement. Bacteriological cell, alternatively, is the power proficient at improving nitrogen by theside stream but not at obtaining low waste matter levels. And by the low usage of energy, nitrogenrecovery, to minimize waste matter nitrogen and the joint power of the growing techniques will getbetter wastewater nitrogen removal.


Research Objective

To review and precis methodologies for genetic nitrogen removal and improvement from wastewater, focusing on energy-efficient options and emerging techniques.


Methodology

Literature review and synthesis of existing research on various nitrogen removal and recovery methods in wastewater treatment.

Methodology Flowchart
                        graph TD
    A[Literature Review on Nitrogen Removal Methods] --> B[Analysis of Conventional BNR];
    B --> C[Evaluation of Nitritation/De-Nitritation];
    B --> D[Assessment of Phototrophic Systems];
    B --> E[Investigation of Microbial Electrochemical Cells];
    C --> F[Comparison of Energy Efficiency];
    D --> F;
    E --> F;
    F --> G[Synthesis of Findings];
    G --> H[Conclusion on Promising Techniques];                    

Discussion

The study discusses the limitations of traditional BNR, highlighting its high energy consumption. It explores alternative and emerging technologies like nitritation/de-nitritation, phototrophic systems, and MECs, emphasizing their potential for energy efficiency and resource recovery. The authors also touch upon the challenges associated with these newer methods, such as solids separation and the need for further research and optimization.


Key Findings

- Conventional Biological Nitrogen Removal (BNR) is energy-intensive.
- Nitritation/De-Nitritation can save energy compared to nitrification.
- Phototrophic systems and microbial electrochemical cells (MECs) show promise for energy-efficient nitrogen removal and recovery.
- Cell absorption with phototrophs can improve nitrogen removal but faces challenges with solids separation and space.
- Bacteriological cells are power-efficient for side-stream nitrogen improvement but not for low waste matter levels.


Conclusion

Various organic nitrogen removal methods have advantages and disadvantages. Emerging techniques like phototrophic systems and MECs offer promising avenues for energy-efficient nitrogen removal and recovery from wastewater, contributing to sustainable wastewater treatment.


Fact Check

- Nitrification requires energy-intensive aeration, improving energy for ventilation, solids processing, and pushing by 30 to 50 percent (Metcalf et al., 1991).
- Overpowering nitration may protect twenty-five percent of the original aeration cost compared to nitrification.
- The energy usage for ammonia reclamation in a scaled-up Microbial Electrolysis Cell was 49.1 mg N/l, which is less than the energy price of obsession using Haber Bosch (about forty-five mg N/l) (Zamora et al., 2017; Maurer, 2003).


Mind Map

Loading PDF...

Loading Statistics...