Developing a simple activity test to estimate nitrous oxide production from sewage treatment

Journal of Bioscience and Bioengineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

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Nitrogen and nitrous oxides emission characteristics of anoxic/oxic wastewater treatment process under different oxygen regulation strategies

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 919, P. 170802 - 170802

Published: Feb. 9, 2024

Language: Английский

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Deep Learning-Based Multiobjective Optimization for Balancing Effluent Quality, Operational Cost, and Greenhouse Gas Emissions in Wastewater Treatment Plant Control

ACS ES&T Water, Journal Year: 2024, Volume and Issue: 4(6), P. 2564 - 2577

Published: June 1, 2024

The low-carbon and sustainable operation challenges the wastewater treatment plant (WWTP), notably as influent temperatures vary seasonally. Optimizing operational parameters is a feasible approach, but current methods generally face large computational cost imprecise optimization. In response, this study developed novel seasonal multiobjective optimization method based on deep learning to trade-off effluent quality index (EQI), (OCI), greenhouse gas (GHG) emissions. crucial control variables were identified for both winter summer using Sobol's sensitivity analysis, serving candidates inputs data-driven models. Then, neural network models constructed basis approximate EQI, OCI, GHG emissions, limitations. Furthermore, was performed preference-inspired coevolutionary algorithm. results show that optimized scenarios reduce level of OCI by 23.92% 40.94% emissions up 7.72% 13.91% in summer, compared base cases. approach simplifies improves performance WWTPs. It also facilitates online fine-tuning WWTP operating different seasons, particularly regions with significant temperature changes.

Language: Английский

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Effects of aeration control strategies on nitrous oxide emissions in alternating anoxic–oxic sequencing batch reactor systems

Environmental Research, Journal Year: 2024, Volume and Issue: 260, P. 119591 - 119591

Published: July 11, 2024

Language: Английский

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Development and application of an intelligent nitrogen removal diagnosis and optimization framework for WWTPs: Low-carbon and stable operation

Water Research, Journal Year: 2024, Volume and Issue: 266, P. 122337 - 122337

Published: Aug. 30, 2024

Language: Английский

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Energy-Saving Mechanism of Wastewater Treatment Process Adaptation on Natural Temperature Variation: The Case from Coking Wastewater

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: 58(37), P. 16399 - 16409

Published: Sept. 5, 2024

The cyclical variations in environmental temperature generated by natural rhythms constantly impact the wastewater treatment process through aeration system. Engineering data show that fluctuations cause reactor to drop at night, resulting increased dissolved oxygen concentration and improved effluent quality. However, of variation on systems energy-saving potential has yet be fully recognized. Here, we conducted a comprehensive study, using full-scale oxic-hydrolytic denitrification-oxic (OHO) coking as case developed dynamic model integrating thermodynamics kinetics elucidate mechanisms response diurnal variations. Our study results indicate can cut energy consumption 660,980 kWh annually (up 30%) for unit OHO Wastewater facilities located regions with significant stand benefit more from this mechanism. Methods such flow control, load shifting, editing fitted into new or retrofitted engineering.

Language: Английский

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Differences in greenhouse gas emissions and microbial communities between underground and conventionally constructed wastewater treatment plants

Bioresource Technology, Journal Year: 2024, Volume and Issue: 396, P. 130421 - 130421

Published: Feb. 5, 2024

Language: Английский

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Assessment and Optimization of Wastewater Treatment Plant in Terms of Effluent Quality, Energy Footprint, and Greenhouse Gas Emissions: An Integrated Modeling Approach

Published: Jan. 1, 2024

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Language: Английский

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Analyzing greenhouse gas emissions and influencing factors of 247 actual wastewater treatment plants in China using emission factor and operational data integrated methods (ODIM)

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(25), P. 37387 - 37403

Published: May 20, 2024

Language: Английский

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Assessment and optimization of wastewater treatment plant in terms of effluent quality, energy footprint, and greenhouse gas emissions: An integrated modeling approach

Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 283, P. 116820 - 116820

Published: Aug. 1, 2024

Wastewater treatment plants (WWTPs) can benefit from utilizing digital technologies to reduce greenhouse gas (GHG) emissions and comply with effluent quality standards. In this study, the GHG electricity consumption of a WWTP were evaluated via computer simulation by varying dissolved oxygen (DO), mixed liquor recirculation (MLR), return activated sludge (RAS) parameters. Three different measures, namely, water quality, emissions, energy consumption, combined as water-energy-carbon coupling index (WECCI) compare effects parameters on WWTPs, optimal operating condition was determined. The initial conditions A2O process set 4.0 mg/L DO, 100 % MLR, 90.7 RAS. Eighty scenarios various RAS simulated under steady-state optimize biological process. found be 1.5 190 90.9 RAS, which had highest WECCI 2.40 when compared (1.07). This simultaneously reduced 1348 kg CO

Language: Английский

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