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Hybrid modelling of water resource recovery facilities: status and opportunities

Schneider, Mariane Yvonne ; Quaghebeur, Ward ; Borzooei, Sina ; Froemelt, Andreas ; Li, Feiyi ; Saagi, Ramesh ; Wade, Matthew J ; Zhu, Jun-Jie ; Torfs, Elena

Water science and technology, 2022-05, Vol.85 (9), p.2503-2524 [Periódico revisado por pares]

England: IWA Publishing

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Título:
Hybrid modelling of water resource recovery facilities: status and opportunities
Autor: Schneider, Mariane Yvonne ; Quaghebeur, Ward ; Borzooei, Sina ; Froemelt, Andreas ; Li, Feiyi ; Saagi, Ramesh ; Wade, Matthew J ; Zhu, Jun-Jie ; Torfs, Elena
Assuntos: Annan elektroteknik och elektronik ; Artificial intelligence ; Automation ; Bacteria ; Circular economy ; data-driven model ; Digitization ; Electrical Engineering, Electronic Engineering, Information Engineering ; Elektroteknik och elektronik ; Engineering and Technology ; hybrid model ; Industrial applications ; Industry ; Industry 4.0 ; Knowledge ; Mathematical functions ; Mathematical models ; mechanistic model ; Modelling ; Neural networks ; Operators (mathematics) ; Ordinary differential equations ; Other Electrical Engineering, Electronic Engineering, Information Engineering ; Oxidation ; Partial differential equations ; Plant introductions ; Power ; process control ; Recovery ; Resource recovery ; Sludge ; Support vector machines ; Sustainability ; Teknik ; urban water management ; Waste Water ; wastewater ; Water ; Water Purification ; Water Resources ; Water treatment
É parte de: Water science and technology, 2022-05, Vol.85 (9), p.2503-2524
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Descrição: Mathematical modelling is an indispensable tool to support water resource recovery facility (WRRF) operators and engineers with the ambition of creating a truly circular economy and assuring a sustainable future. Despite the successful application of mechanistic models in the water sector, they show some important limitations and do not fully profit from the increasing digitalisation of systems and processes. Recent advances in data-driven methods have provided options for harnessing the power of Industry 4.0, but they are often limited by the lack of interpretability and extrapolation capabilities. Hybrid modelling (HM) combines these two modelling paradigms and aims to leverage both the rapidly increasing volumes of data collected, as well as the continued pursuit of greater process understanding. Despite the potential of HM in a sector that is undergoing a significant digital and cultural transformation, the application of hybrid models remains vague. This article presents an overview of HM methodologies applied to WRRFs and aims to stimulate the wider adoption and development of HM. We also highlight challenges and research needs for HM design and architecture, good modelling practice, data assurance, and software compatibility. HM is a paradigm for WRRF modelling to transition towards a more resource-efficient, resilient, and sustainable future.
Editor: England: IWA Publishing
Idioma: Inglês

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Hybrid modelling of water resource recovery facilities: status and opportunities

Schneider, Mariane Yvonne ; Quaghebeur, Ward ; Borzooei, Sina ; Froemelt, Andreas ; Li, Feiyi ; Saagi, Ramesh ; Wade, Matthew J ; Zhu, Jun-Jie ; Torfs, Elena

England: IWA Publishing

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