Towards development of a decision support tool for conceptual design of wastewater treatment plants using stochastic simulation optimization

Resul Al, Chitta Ranjan Behera, Krist V. Gernaey, Gürkan Sin*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Available treatment technologies for wastewater are diversifying as the industry is undergoing a paradigm shift from considering wastewater as a waste to treat to an increasingly valuable source for energy production and resource recovery. With the purpose of addressing the problem of determining optimal plant network for wastewater treatment plants, we develop a new decision support tool (SPDLab) relying on a novel simulation optimization based process synthesis framework and a library of rigorous process models. The capabilities of SPDLab are demonstrated with a case study for designing an energy surplus WWTP. The Benchmark Simulation Model No. 2 (BSM2) (Gernaey et al., 2014) plant layout is populated with additional options for primary treatment technologies, such as a rotating belt filter with or without polymer addition, and mainline treatment options including also fixed film activated sludge (IFAS) technology. A side stream treatment with partial nitrification-Anammox process is also included in the superstructure. Results obtained show that the combination of efficient carbon recovery with main stream Anammox and anaerobic digester produces the most net energy among the investigated alternatives.
Original languageEnglish
Title of host publicationProceedings of the 29th European Symposium on Computer Aided Process Engineering
EditorsKiss Anton, Edwin Zondervan, Richard Lakerveld, Leyla Özkan
PublisherElsevier
Publication date2019
Pages325-330
ISBN (Print)9780128186343
DOIs
Publication statusPublished - 2019
Event29th European Symposium on Computer Aided Process Engineering - Eindhoven, Netherlands
Duration: 16 Jun 201919 Jun 2019

Conference

Conference29th European Symposium on Computer Aided Process Engineering
CountryNetherlands
CityEindhoven
Period16/06/201919/06/2019
SeriesComputer Aided Chemical Engineering
Volume46
ISSN1570-7946

Keywords

  • Process synthesis and design
  • Wastewater treatment plant design
  • Simulation-based optimization
  • Monte Carlo simulation

Cite this

Al, R., Behera, C. R., Gernaey, K. V., & Sin, G. (2019). Towards development of a decision support tool for conceptual design of wastewater treatment plants using stochastic simulation optimization. In K. Anton, E. Zondervan, R. Lakerveld, & L. Özkan (Eds.), Proceedings of the 29th European Symposium on Computer Aided Process Engineering (pp. 325-330). Elsevier. Computer Aided Chemical Engineering, Vol.. 46 https://doi.org/10.1016/B978-0-12-818634-3.50055-2
Al, Resul ; Behera, Chitta Ranjan ; Gernaey, Krist V. ; Sin, Gürkan. / Towards development of a decision support tool for conceptual design of wastewater treatment plants using stochastic simulation optimization. Proceedings of the 29th European Symposium on Computer Aided Process Engineering. editor / Kiss Anton ; Edwin Zondervan ; Richard Lakerveld ; Leyla Özkan. Elsevier, 2019. pp. 325-330 (Computer Aided Chemical Engineering, Vol. 46).
@inproceedings{07f5262ea5da48908c513b7892580265,
title = "Towards development of a decision support tool for conceptual design of wastewater treatment plants using stochastic simulation optimization",
abstract = "Available treatment technologies for wastewater are diversifying as the industry is undergoing a paradigm shift from considering wastewater as a waste to treat to an increasingly valuable source for energy production and resource recovery. With the purpose of addressing the problem of determining optimal plant network for wastewater treatment plants, we develop a new decision support tool (SPDLab) relying on a novel simulation optimization based process synthesis framework and a library of rigorous process models. The capabilities of SPDLab are demonstrated with a case study for designing an energy surplus WWTP. The Benchmark Simulation Model No. 2 (BSM2) (Gernaey et al., 2014) plant layout is populated with additional options for primary treatment technologies, such as a rotating belt filter with or without polymer addition, and mainline treatment options including also fixed film activated sludge (IFAS) technology. A side stream treatment with partial nitrification-Anammox process is also included in the superstructure. Results obtained show that the combination of efficient carbon recovery with main stream Anammox and anaerobic digester produces the most net energy among the investigated alternatives.",
keywords = "Process synthesis and design, Wastewater treatment plant design, Simulation-based optimization, Monte Carlo simulation",
author = "Resul Al and Behera, {Chitta Ranjan} and Gernaey, {Krist V.} and G{\"u}rkan Sin",
year = "2019",
doi = "10.1016/B978-0-12-818634-3.50055-2",
language = "English",
isbn = "9780128186343",
pages = "325--330",
editor = "Kiss Anton and Zondervan, {Edwin } and Lakerveld, {Richard } and {\"O}zkan, {Leyla }",
booktitle = "Proceedings of the 29th European Symposium on Computer Aided Process Engineering",
publisher = "Elsevier",
address = "United Kingdom",

}

Al, R, Behera, CR, Gernaey, KV & Sin, G 2019, Towards development of a decision support tool for conceptual design of wastewater treatment plants using stochastic simulation optimization. in K Anton, E Zondervan, R Lakerveld & L Özkan (eds), Proceedings of the 29th European Symposium on Computer Aided Process Engineering. Elsevier, Computer Aided Chemical Engineering, vol. 46, pp. 325-330, 29th European Symposium on Computer Aided Process Engineering , Eindhoven, Netherlands, 16/06/2019. https://doi.org/10.1016/B978-0-12-818634-3.50055-2

Towards development of a decision support tool for conceptual design of wastewater treatment plants using stochastic simulation optimization. / Al, Resul; Behera, Chitta Ranjan; Gernaey, Krist V.; Sin, Gürkan.

Proceedings of the 29th European Symposium on Computer Aided Process Engineering. ed. / Kiss Anton; Edwin Zondervan; Richard Lakerveld; Leyla Özkan. Elsevier, 2019. p. 325-330 (Computer Aided Chemical Engineering, Vol. 46).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - Towards development of a decision support tool for conceptual design of wastewater treatment plants using stochastic simulation optimization

AU - Al, Resul

AU - Behera, Chitta Ranjan

AU - Gernaey, Krist V.

AU - Sin, Gürkan

PY - 2019

Y1 - 2019

N2 - Available treatment technologies for wastewater are diversifying as the industry is undergoing a paradigm shift from considering wastewater as a waste to treat to an increasingly valuable source for energy production and resource recovery. With the purpose of addressing the problem of determining optimal plant network for wastewater treatment plants, we develop a new decision support tool (SPDLab) relying on a novel simulation optimization based process synthesis framework and a library of rigorous process models. The capabilities of SPDLab are demonstrated with a case study for designing an energy surplus WWTP. The Benchmark Simulation Model No. 2 (BSM2) (Gernaey et al., 2014) plant layout is populated with additional options for primary treatment technologies, such as a rotating belt filter with or without polymer addition, and mainline treatment options including also fixed film activated sludge (IFAS) technology. A side stream treatment with partial nitrification-Anammox process is also included in the superstructure. Results obtained show that the combination of efficient carbon recovery with main stream Anammox and anaerobic digester produces the most net energy among the investigated alternatives.

AB - Available treatment technologies for wastewater are diversifying as the industry is undergoing a paradigm shift from considering wastewater as a waste to treat to an increasingly valuable source for energy production and resource recovery. With the purpose of addressing the problem of determining optimal plant network for wastewater treatment plants, we develop a new decision support tool (SPDLab) relying on a novel simulation optimization based process synthesis framework and a library of rigorous process models. The capabilities of SPDLab are demonstrated with a case study for designing an energy surplus WWTP. The Benchmark Simulation Model No. 2 (BSM2) (Gernaey et al., 2014) plant layout is populated with additional options for primary treatment technologies, such as a rotating belt filter with or without polymer addition, and mainline treatment options including also fixed film activated sludge (IFAS) technology. A side stream treatment with partial nitrification-Anammox process is also included in the superstructure. Results obtained show that the combination of efficient carbon recovery with main stream Anammox and anaerobic digester produces the most net energy among the investigated alternatives.

KW - Process synthesis and design

KW - Wastewater treatment plant design

KW - Simulation-based optimization

KW - Monte Carlo simulation

U2 - 10.1016/B978-0-12-818634-3.50055-2

DO - 10.1016/B978-0-12-818634-3.50055-2

M3 - Article in proceedings

SN - 9780128186343

SP - 325

EP - 330

BT - Proceedings of the 29th European Symposium on Computer Aided Process Engineering

A2 - Anton, Kiss

A2 - Zondervan, Edwin

A2 - Lakerveld, Richard

A2 - Özkan, Leyla

PB - Elsevier

ER -

Al R, Behera CR, Gernaey KV, Sin G. Towards development of a decision support tool for conceptual design of wastewater treatment plants using stochastic simulation optimization. In Anton K, Zondervan E, Lakerveld R, Özkan L, editors, Proceedings of the 29th European Symposium on Computer Aided Process Engineering. Elsevier. 2019. p. 325-330. (Computer Aided Chemical Engineering, Vol. 46). https://doi.org/10.1016/B978-0-12-818634-3.50055-2