Smart-Plant Decision Support System (SP-DSS) : Defining a multi-criteria decision-making framework for the selection of WWTP configurations with resource recovery
Juznic-Zonta, Zivko (Universitat Autònoma de Barcelona. Departament d'Enginyeria Química, Biològica i Ambiental)
Guisasola, Albert (Universitat Autònoma de Barcelona. Departament d'Enginyeria Química, Biològica i Ambiental)
Baeza Labat, Juan Antonio (Universitat Autònoma de Barcelona. Departament d'Enginyeria Química, Biològica i Ambiental)

Data:	2022
Resum:	The development of the Smart-Plant Decision Support System (SP-DSS) is presented, which helps to find the optimal water resource recovery facility (WRRF) configuration for a specific case. A general plant superstructure is defined to allow the evaluation of different combinations among the available process unit options, considering technical, economic, and environmental impact criteria. The complete evaluation is based on a five-step framework: (i) design problem set-up, (ii) wastewater inflow generation, (iii) superstructure generation and plant-wide model simulation under dynamic conditions, (iv) estimation of multi-criteria objective values (greenhouse gas emissions, accumulation of effluent violations, effluent quality index, net present value, system readiness level and plant land area), and (v) design configuration multi-criteria sorting with the technique for order of preference by similarity to ideal solution (TOPSIS). SP-DSS application is shown comparing the mainstream shortcut enhanced phosphorus and polyhydroxyalkanoate (PHA) recovery (SCEPPHAR) technology with a conventional anaerobic/anoxic/aerobic (A2O) configuration for a medium size WWTP (Manresa, Spain). The comparison shows both configurations allow meeting discharge limits, and among other criteria, the SCEPPHAR novel configuration, with respect to A2O, shows higher pollutant contents in the effluent (3. 30 vs 2. 34 gPoll/m), higher capital expenditures (CAPEX 0. 191 vs 0. 130 €/m), lower operational expenditures (OPEX 0. 397 vs 0. 515 €/m), lower required tariff (0. 654 vs 0. 674 €/m) and higher greenhouse gas emissions (GHG 0. 19 vs 0. 14 kgCO/m). Overall, TOPSIS sorting indicates A2O is still the best configuration for this specific case.
Ajuts:	European Commission 690323
Nota:	Altres ajuts: acords transformatius de la UAB
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	DSS ; EBPR ; Resource recovery ; Superstructure ; Water resource recovery facility (WRRF)
Publicat a:	Journal of Cleaner Production, Vol. 367 (September 2022) , art. 132873, ISSN 0959-6526

DOI: 10.1016/j.jclepro.2022.132873

12 p, 2.4 MB

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