Towards an optimal experimental design for N2O model calibration during biological nitrogen removal

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Abstract

Process models describing nitrous oxide (N2O) production during biological nitrogen removal allow for the development of mitigation strategies of this potent greenhouse gas. N2O is an intermediate of nitrogen removal, hence its prediction is negatively affected by the uncertainty associated to its substrates. Improving experimental designs for model calibration reduces prediction uncertainties. Moreover, the individual analysis of autotrophic and heterotrophic contribution to the total NO and N2O pool was assessed for already proposed model structures under different experimental scenarios. The results show the need for information-rich experiemental designs to assess the predicting capabilities of N2O models. This work represents a step further in understanding the N2O production and emissions associated to conventional wastewater treatment. Moreovere, it will facilitate the development of strategies to minimize the carbon footprint of wastewater treatment plants.
Original languageEnglish
Publication date2016
Number of pages3
Publication statusPublished - 2016
Event5 th IWA/WEF Wastewater Treatment Modelling Seminar 2016: Where to direct modelling efforts for a faster road towards resource recovery? - Annecy, France
Duration: 2 Apr 20166 Apr 2016
Conference number: 5
https://wwtmod2016.irstea.fr/

Conference

Conference5 th IWA/WEF Wastewater Treatment Modelling Seminar 2016
Number5
CountryFrance
CityAnnecy
Period02/04/201606/04/2016
Internet address

Keywords

  • Modelling
  • N2O
  • Uncertainty
  • Production pathway
  • Experimental design

Cite this

Domingo Felez, C., Valverde Pérez, B., Plósz, B. G., Sin, G., & Smets, B. F. (2016). Towards an optimal experimental design for N2O model calibration during biological nitrogen removal. Abstract from 5 th IWA/WEF Wastewater Treatment Modelling Seminar 2016, Annecy, France.
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title = "Towards an optimal experimental design for N2O model calibration during biological nitrogen removal",
abstract = "Process models describing nitrous oxide (N2O) production during biological nitrogen removal allow for the development of mitigation strategies of this potent greenhouse gas. N2O is an intermediate of nitrogen removal, hence its prediction is negatively affected by the uncertainty associated to its substrates. Improving experimental designs for model calibration reduces prediction uncertainties. Moreover, the individual analysis of autotrophic and heterotrophic contribution to the total NO and N2O pool was assessed for already proposed model structures under different experimental scenarios. The results show the need for information-rich experiemental designs to assess the predicting capabilities of N2O models. This work represents a step further in understanding the N2O production and emissions associated to conventional wastewater treatment. Moreovere, it will facilitate the development of strategies to minimize the carbon footprint of wastewater treatment plants.",
keywords = "Modelling, N2O, Uncertainty, Production pathway, Experimental design",
author = "{Domingo Felez}, Carlos and {Valverde P{\'e}rez}, Borja and Pl{\'o}sz, {Benedek G.} and G{\"u}rkan Sin and Smets, {Barth F.}",
year = "2016",
language = "English",
note = "5 th IWA/WEF Wastewater Treatment Modelling Seminar 2016 : Where to direct modelling efforts for a faster road towards resource recovery?, WWTmod2016 ; Conference date: 02-04-2016 Through 06-04-2016",
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}

Domingo Felez, C, Valverde Pérez, B, Plósz, BG, Sin, G & Smets, BF 2016, 'Towards an optimal experimental design for N2O model calibration during biological nitrogen removal', 5 th IWA/WEF Wastewater Treatment Modelling Seminar 2016, Annecy, France, 02/04/2016 - 06/04/2016.

Towards an optimal experimental design for N2O model calibration during biological nitrogen removal. / Domingo Felez, Carlos; Valverde Pérez, Borja; Plósz, Benedek G.; Sin, Gürkan; Smets, Barth F.

2016. Abstract from 5 th IWA/WEF Wastewater Treatment Modelling Seminar 2016, Annecy, France.

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

TY - ABST

T1 - Towards an optimal experimental design for N2O model calibration during biological nitrogen removal

AU - Domingo Felez, Carlos

AU - Valverde Pérez, Borja

AU - Plósz, Benedek G.

AU - Sin, Gürkan

AU - Smets, Barth F.

PY - 2016

Y1 - 2016

N2 - Process models describing nitrous oxide (N2O) production during biological nitrogen removal allow for the development of mitigation strategies of this potent greenhouse gas. N2O is an intermediate of nitrogen removal, hence its prediction is negatively affected by the uncertainty associated to its substrates. Improving experimental designs for model calibration reduces prediction uncertainties. Moreover, the individual analysis of autotrophic and heterotrophic contribution to the total NO and N2O pool was assessed for already proposed model structures under different experimental scenarios. The results show the need for information-rich experiemental designs to assess the predicting capabilities of N2O models. This work represents a step further in understanding the N2O production and emissions associated to conventional wastewater treatment. Moreovere, it will facilitate the development of strategies to minimize the carbon footprint of wastewater treatment plants.

AB - Process models describing nitrous oxide (N2O) production during biological nitrogen removal allow for the development of mitigation strategies of this potent greenhouse gas. N2O is an intermediate of nitrogen removal, hence its prediction is negatively affected by the uncertainty associated to its substrates. Improving experimental designs for model calibration reduces prediction uncertainties. Moreover, the individual analysis of autotrophic and heterotrophic contribution to the total NO and N2O pool was assessed for already proposed model structures under different experimental scenarios. The results show the need for information-rich experiemental designs to assess the predicting capabilities of N2O models. This work represents a step further in understanding the N2O production and emissions associated to conventional wastewater treatment. Moreovere, it will facilitate the development of strategies to minimize the carbon footprint of wastewater treatment plants.

KW - Modelling

KW - N2O

KW - Uncertainty

KW - Production pathway

KW - Experimental design

M3 - Conference abstract for conference

ER -

Domingo Felez C, Valverde Pérez B, Plósz BG, Sin G, Smets BF. Towards an optimal experimental design for N2O model calibration during biological nitrogen removal. 2016. Abstract from 5 th IWA/WEF Wastewater Treatment Modelling Seminar 2016, Annecy, France.