Activated sludge models at the crossroad of artificial intelligence—A perspective on advancing process modeling

Abstract The introduction of Activated Sludge Models No. 1 (ASM1) in the early 1980s has led to a decade-long experience in applying these models and demonstrating their maturity for the wastewater treatment plants’ design and operation. However, these models have reached their limits concerning com...

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Autores principales:	Gürkan Sin, Resul Al
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Water supply for domestic and industrial purposes TD201-500
Acceso en línea:	https://doaj.org/article/b6de7f4671ef4f79bf1de4381557a7be
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spelling	oai:doaj.org-article:b6de7f4671ef4f79bf1de4381557a7be2021-12-02T15:52:52ZActivated sludge models at the crossroad of artificial intelligence—A perspective on advancing process modeling10.1038/s41545-021-00106-52059-7037https://doaj.org/article/b6de7f4671ef4f79bf1de4381557a7be2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41545-021-00106-5https://doaj.org/toc/2059-7037Abstract The introduction of Activated Sludge Models No. 1 (ASM1) in the early 1980s has led to a decade-long experience in applying these models and demonstrating their maturity for the wastewater treatment plants’ design and operation. However, these models have reached their limits concerning complexity and application accuracy. A case in point is that despite many extensions of the ASMs proposed to describe N2O production dynamics in the activated sludge plants, these models remain too complicated and yet to be validated. This perspective paper presents a new vision to advance process modeling by explicitly integrating the information about the microbial community as measured by molecular data in activated sludge models. In this new research area, we propose to harness the synergy between the rich molecular data from advanced gene sequencing technology with its integration through artificial intelligence with process engineering models. This is an interdisciplinary research area enabling the two separate disciplines, namely environmental biotechnology, to join forces and work together with the modeling and engineering community to perform new understanding and model-based engineering for sustainable WWTPs of the future.Gürkan SinResul AlNature PortfolioarticleWater supply for domestic and industrial purposesTD201-500ENnpj Clean Water, Vol 4, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Water supply for domestic and industrial purposes TD201-500
spellingShingle	Water supply for domestic and industrial purposes TD201-500 Gürkan Sin Resul Al Activated sludge models at the crossroad of artificial intelligence—A perspective on advancing process modeling
description	Abstract The introduction of Activated Sludge Models No. 1 (ASM1) in the early 1980s has led to a decade-long experience in applying these models and demonstrating their maturity for the wastewater treatment plants’ design and operation. However, these models have reached their limits concerning complexity and application accuracy. A case in point is that despite many extensions of the ASMs proposed to describe N2O production dynamics in the activated sludge plants, these models remain too complicated and yet to be validated. This perspective paper presents a new vision to advance process modeling by explicitly integrating the information about the microbial community as measured by molecular data in activated sludge models. In this new research area, we propose to harness the synergy between the rich molecular data from advanced gene sequencing technology with its integration through artificial intelligence with process engineering models. This is an interdisciplinary research area enabling the two separate disciplines, namely environmental biotechnology, to join forces and work together with the modeling and engineering community to perform new understanding and model-based engineering for sustainable WWTPs of the future.
format	article
author	Gürkan Sin Resul Al
author_facet	Gürkan Sin Resul Al
author_sort	Gürkan Sin
title	Activated sludge models at the crossroad of artificial intelligence—A perspective on advancing process modeling
title_short	Activated sludge models at the crossroad of artificial intelligence—A perspective on advancing process modeling
title_full	Activated sludge models at the crossroad of artificial intelligence—A perspective on advancing process modeling
title_fullStr	Activated sludge models at the crossroad of artificial intelligence—A perspective on advancing process modeling
title_full_unstemmed	Activated sludge models at the crossroad of artificial intelligence—A perspective on advancing process modeling
title_sort	activated sludge models at the crossroad of artificial intelligence—a perspective on advancing process modeling
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/b6de7f4671ef4f79bf1de4381557a7be
work_keys_str_mv	AT gurkansin activatedsludgemodelsatthecrossroadofartificialintelligenceaperspectiveonadvancingprocessmodeling AT resulal activatedsludgemodelsatthecrossroadofartificialintelligenceaperspectiveonadvancingprocessmodeling
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Activated sludge models at the crossroad of artificial intelligence—A perspective on advancing process modeling

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