Development of an ASM2d-N2O model to describe nitrous oxide emissions in municipal WWTPs under dynamic conditions

Massara, Theoni Maria; Solís, Borja; Guisasola, Albert; Katsou, Evina; Baeza, Juán Antonio

doi:10.1016/j.cej.2017.10.119

Cited by 66 publications

(23 citation statements)

References 59 publications

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“…The authors have provided guidelines for the selection of the most appropriate modelling approach under different DO and NO 2 − concentrations based on the structural assumptions of the models. The debate on the model that best describes and decouples the major N 2 O formation pathways is still ongoing with several extensions and variations of the original approaches developed recently (Ding et al, 2017;Domingo-Félez and Smets, 2016;Massara et al, 2018).…”

Section: Mechanistic Modelsmentioning

confidence: 99%

A decade of nitrous oxide (N2O) monitoring in full-scale wastewater treatment processes: A critical review

et al. 2019

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Direct nitrous oxide (N 2 O) emissions during the biological nitrogen removal (BNR) processes can significantly increase the carbon footprint of wastewater treatment plant (WWTP) operations. Recent onsite measurement of N 2 O emissions at WWTPs have been used as an alternative to the controversial theoretical methods for the N 2 O calculation. The full-scale N 2 O monitoring campaigns help to expand our knowledge on the N 2 O production pathways and the triggering operational conditions of processes. The accurate N 2 O monitoring could help to find better process control solutions to mitigate N 2 O emissions of wastewater treatment systems. However, quantifying the emissions and understanding the long-term behaviour of N 2 O fluxes in WWTPs remains challenging and costly. A review of the recent full-scale N 2 O monitoring campaigns is conducted. The analysis covers the quantification and mitigation of emissions for different process groups, focusing on techniques that have been applied for the identification of dominant N 2 O pathways and triggering operational conditions, techniques using operational data and N 2 O data to identify mitigation measures and mechanistic modelling. The analysis of various studies showed that there are still difficulties in the comparison of N 2 O emissions and the development of emission factor (EF) databases; the N 2 O fluxes reported in literature vary significantly even among groups of similar processes. The results indicated that the duration of the monitoring campaigns can impact the EF range. Most N 2 O monitoring campaigns lasting less than one month, have reported N 2 O EFs less than 0.3% of the N-load, whereas studies lasting over a year have a median EF equal to 1.7% of the N-load. The findings of the current study indicate that complex feature extraction and multivariate data mining methods can efficiently convert wastewater operational and N 2 O data into information, determine complex relationships within the available datasets and boost the long-term understanding of the N 2 O fluxes behaviour. The acquisition of reliable full-scale N 2 O monitoring data is significant for the calibration and validation of the mechanistic models of-describing the N 2 O emission generation in WWTPs. They can be combined with the multivariate tools to further enhance the interpretation of the complicated full-scale N 2 O emission patterns. Finally, a gap between the identification of effective N 2 O mitigation strategies and their actual implementation within the monitoring and control of WWTPs has been identified. This study concludes that there is a further need for i) long-term N 2 O monitoring studies, ii) development of data-driven methodological approaches for the analysis of WWTP operational and N 2 O data, and iii) better understanding of the trade-offs among N 2 O emissions, energy consumption and system performance to support the optimization of the WWTPs operation.

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Section: Mechanistic Modelsmentioning

confidence: 99%

A decade of nitrous oxide (N2O) monitoring in full-scale wastewater treatment processes: A critical review

et al. 2019

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“…Such a study, although developed on a theoretical case study, demonstrated the effectiveness of advanced mathematical modelling methods for reducing the emissions and pin down criteria for plant operational strategies. Recent studies on GHG modelling include both conventional (Massara et al, 2018) and advanced treatment systems such as membrane bioreactors (Mannina et al, 2018b). Such models are modifications of the ASM in an attempt to come up with a modelling tools for GHG emissions from WWTPs.…”

Section: Greenhouse Gases From Wastewater Treatment Plantsmentioning

confidence: 99%

Greenhouse gas emissions from integrated urban drainage systems: Where do we stand?

Mannina

Butler

Benedetti

et al. 2018

Journal of Hydrology

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As sources of greenhouse gas (GHG) emissions, integrated urban drainage systems (IUDSs) (i.e., sewer systems, wastewater treatment plants and receiving water bodies) contribute to climate change. This paper, produced by the International Working Group on Data and Models, which works under the IWA/IAHR Joint Committee on Urban Drainage, reviews the state-of-the-art and modelling tools developed recently to understand and manage GHG emissions from IUDS. Further, open problems and research gaps are discussed and a framework for handling GHG emissions from IUDSs is presented. The literature review reveals that there is a need to strengthen already available mathematical models for IUDS to take GHG into account.

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“…The aerated reactors are the major contributors of OffgasN2O within the MBR plant (Ribera-Guardia et al, 2019), followed by the MBR reactor (Figure 3d). The emissions from the MBR reactor are mostly due to the stripping of N2O in gas form from its related dissolved component (Massara et al, 2018).…”

Section: <Here Figure 3>mentioning

confidence: 99%

Minimizing membrane bioreactor environmental footprint by multiple objective optimization

Mannina

Rebouças

et al. 2020

Bioresource Technology

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An integrated model for membrane bioreactors (MBR) was employed in view of the management optimization of an MBR biological nutrient removal (BNR) pilot plant in terms of operational costs and direct greenhouse gases emissions. The influence of the operational parameters (OPs) on performance indicators (PIs) was investigated by adopting the Extended-FAST sensitivity analysis method. Further, a multi-objective analysis was performed by applying the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The results show-up that the sludge retention time is the OP mostly affecting all the investigated PIs. By applying the set of optimal OPs, there was a reduction of 48% and 10% of the operational costs and direct emissions, respectively.

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Development of an ASM2d-N2O model to describe nitrous oxide emissions in municipal WWTPs under dynamic conditions

Cited by 66 publications

References 59 publications

A decade of nitrous oxide (N2O) monitoring in full-scale wastewater treatment processes: A critical review

A decade of nitrous oxide (N2O) monitoring in full-scale wastewater treatment processes: A critical review

Greenhouse gas emissions from integrated urban drainage systems: Where do we stand?

Minimizing membrane bioreactor environmental footprint by multiple objective optimization

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