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Wastewater treatment plants (WWTPs) require an urgent transition from a linear to a circular economy operation/design concept with a consequent resource recovery and more sustainable waste management. Natural resources have to be preserved, and wastes have to become an opportunity for recovering resources and materials (water reuse, energy, sludge reuse). However, the transition toward a circular economy is a complex and long process due to the existence of technical, economic, social and regulatory barriers. These existing barriers are critical challenges for a modern and sustainable WWTP concept. The recovery of resources must be considered a strategic target from the earliest process-design phase. In this context, the European Union’s Horizon 2020 project “Achieving wider uptake of water-smart solutions—WIDER UPTAKE” aims to overcome the existing barriers (technological, regulatory, organizational, social and economic) toward the transition from a linear to a circular economy model for WWTPs. This study is aimed at increasing the awareness of the existing barriers to a circular economy and summarizes the key contributions of the WIDER UPTAKE project in terms of water reuse, sludge reuse and nutrient recovery.
Giorgio Mannina; Luigi Badalucco; Lorenzo Barbara; Alida Cosenza; Daniele Di Trapani; Giuseppe Gallo; Vito Laudicina; Giuseppe Marino; Sofia Muscarella; Dario Presti; Herman Helness. Enhancing a Transition to a Circular Economy in the Water Sector: The EU Project WIDER UPTAKE. Water 2021, 13, 946 .
AMA StyleGiorgio Mannina, Luigi Badalucco, Lorenzo Barbara, Alida Cosenza, Daniele Di Trapani, Giuseppe Gallo, Vito Laudicina, Giuseppe Marino, Sofia Muscarella, Dario Presti, Herman Helness. Enhancing a Transition to a Circular Economy in the Water Sector: The EU Project WIDER UPTAKE. Water. 2021; 13 (7):946.
Chicago/Turabian StyleGiorgio Mannina; Luigi Badalucco; Lorenzo Barbara; Alida Cosenza; Daniele Di Trapani; Giuseppe Gallo; Vito Laudicina; Giuseppe Marino; Sofia Muscarella; Dario Presti; Herman Helness. 2021. "Enhancing a Transition to a Circular Economy in the Water Sector: The EU Project WIDER UPTAKE." Water 13, no. 7: 946.
Guangming Zhang; Huu Hao Ngo; Yongzheng Peng; Faizal Bux; Giorgio Mannina. Biological nutrients removal and recovery. Bioresource Technology 2020, 320, 124377 .
AMA StyleGuangming Zhang, Huu Hao Ngo, Yongzheng Peng, Faizal Bux, Giorgio Mannina. Biological nutrients removal and recovery. Bioresource Technology. 2020; 320 ():124377.
Chicago/Turabian StyleGuangming Zhang; Huu Hao Ngo; Yongzheng Peng; Faizal Bux; Giorgio Mannina. 2020. "Biological nutrients removal and recovery." Bioresource Technology 320, no. : 124377.
Giorgio Mannina; Peter A. Vanrolleghem; Zhiguo Yuan. Advanced Wastewater Treatment and Mathematical Modeling. Journal of Environmental Engineering 2020, 146, 02020002 .
AMA StyleGiorgio Mannina, Peter A. Vanrolleghem, Zhiguo Yuan. Advanced Wastewater Treatment and Mathematical Modeling. Journal of Environmental Engineering. 2020; 146 (7):02020002.
Chicago/Turabian StyleGiorgio Mannina; Peter A. Vanrolleghem; Zhiguo Yuan. 2020. "Advanced Wastewater Treatment and Mathematical Modeling." Journal of Environmental Engineering 146, no. 7: 02020002.
This paper presents the sensitivity and uncertainty analysis of a plant-wide mathematical model for wastewater treatment plants (WWTPs). The mathematical model assesses direct and indirect (due to the energy consumption) greenhouse gases (GHG) emissions from a WWTP employing a whole-plant approach. The model includes: i) the kinetic/mass-balance based model regarding nitrogen; ii) two-step nitrification process; iii) N2O formation both during nitrification and denitrification (as dissolved and off-gas concentration). Important model factors have been selected by using the Extended-Fourier Amplitude Sensitivity Testing (FAST) global sensitivity analysis method. A scenario analysis has been performed in order to evaluate the uncertainty related to all selected important model factors (scenario 1), important model factors related to the influent features (scenario 2) and important model factors related to the operational conditions (scenario 3). The main objective of this paper was to analyse the key factors and sources of uncertainty at a plant-wide scale influencing the most relevant model outputs: direct and indirect (DIR,CO2eq and IND,CO2eq, respectively), effluent quality index (EQI), chemical oxygen demand (COD) and total nitrogen (TN) effluent concentration (CODOUT and TNOUT, respectively). Sensitivity analysis shows that model factors related to the influent wastewater and primary effluent COD fractionation exhibit a significant impact on direct, indirect and EQI model factors. Uncertainty analysis reveals that outflow TNOUT has the highest uncertainty in terms of relative uncertainty band for scenario 1 and scenario 2. Therefore, uncertainty of influential model factors and influent fractionation factors has a relevant role on total nitrogen prediction. Results of the uncertainty analysis show that the uncertainty of model prediction decreases after fixing stoichiometric/kinetic model factors.
Giorgio Mannina; Alida Cosenza; Taise Ferreira Rebouças. Uncertainty and sensitivity analysis for reducing greenhouse gas emissions from wastewater treatment plants. Water Science and Technology 2020, 1 .
AMA StyleGiorgio Mannina, Alida Cosenza, Taise Ferreira Rebouças. Uncertainty and sensitivity analysis for reducing greenhouse gas emissions from wastewater treatment plants. Water Science and Technology. 2020; ():1.
Chicago/Turabian StyleGiorgio Mannina; Alida Cosenza; Taise Ferreira Rebouças. 2020. "Uncertainty and sensitivity analysis for reducing greenhouse gas emissions from wastewater treatment plants." Water Science and Technology , no. : 1.
The paper presents an experimental study on a lab scale hybrid moving bed biofilm reactor with intermittent aeration. Specifically, a comparison between two different operating conditions was analyzed: continuous and intermittent aeration. Both continuous and intermittent aeration were monitored and compared in order to get the best operational conditions. The intermittent aeration campaign was sub-divided in three phases with different duration of alternation of aerobic and anoxic times and organic and nitrogen loading rates. The efficiency of N-removal improved by 70% during the intermittent aeration. The best condition was observed with 40 min of aeration and 20 min of no-aeration, an organic loading rate of 2.2 kgCODm−3day−1 and a nitrogen loading rate of 0.25 kgNm−3day−1: under these operational conditions the removal efficiencies for carbon and nitrogen were 93% and 90%, respectively. The derived results provide the basis for WWTP upgrade in order to meet stricter effluent limits at low energy requirements.
Gaetano Di Bella; Giorgio Mannina. Intermittent Aeration in a Hybrid Moving Bed Biofilm Reactor for Carbon and Nutrient Biological Removal. Water 2020, 12, 492 .
AMA StyleGaetano Di Bella, Giorgio Mannina. Intermittent Aeration in a Hybrid Moving Bed Biofilm Reactor for Carbon and Nutrient Biological Removal. Water. 2020; 12 (2):492.
Chicago/Turabian StyleGaetano Di Bella; Giorgio Mannina. 2020. "Intermittent Aeration in a Hybrid Moving Bed Biofilm Reactor for Carbon and Nutrient Biological Removal." Water 12, no. 2: 492.
This paper presents a modelling study aimed at minimizing the environmental foot print of a membrane bioreactor (MBR) for wastewater treatment. Specifically, an integrated model for MBR was employed in view of the management optimization of an MBR biological nutrient removal (BNR) pilot plant in terms of operational costs and direct greenhouse gases emissions. The influence of the operational parameters (OPs) on performance indicators (PIs) was investigated by adopting the Extended-FAST sensitivity analysis method. Further, a multi-objective analysis was performed by applying the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The results show-up that the sludge retention time is the OP mostly affecting all the investigated PIs. By applying the set of optimal OPs, there was a reduction of 48% and 10% of the operational costs and direct emissions, respectively.
Giorgio Mannina; Bing-Jie Ni; Taise Ferreira Rebouças; Alida Cosenza; Gustaf Olsson. Minimizing membrane bioreactor environmental footprint by multiple objective optimization. Bioresource Technology 2020, 302, 122824 .
AMA StyleGiorgio Mannina, Bing-Jie Ni, Taise Ferreira Rebouças, Alida Cosenza, Gustaf Olsson. Minimizing membrane bioreactor environmental footprint by multiple objective optimization. Bioresource Technology. 2020; 302 ():122824.
Chicago/Turabian StyleGiorgio Mannina; Bing-Jie Ni; Taise Ferreira Rebouças; Alida Cosenza; Gustaf Olsson. 2020. "Minimizing membrane bioreactor environmental footprint by multiple objective optimization." Bioresource Technology 302, no. : 122824.
The present paper investigated an Integrated Fixed Film Activated Sludge (IFAS) Membrane BioReactor (MBR) system monitored for 340 days. In particular, the short-term effects of some operational parameters variation was evaluated. Results showed a decrease of the removal rates under low C/N values. Respirometry results highlighted that activated sludge was more active in the organic carbon removal. Conversely, biofilm has a key role during nitrification. The major fouling mechanism was represented by the cake deposition (irreversible).
Giorgio Mannina; Marco Capodici; Alida Cosenza; Daniele Di Trapani; Zhengyu Zhu; YongMei Li. Integrated Fixed Film Activated Sludge (IFAS) membrane BioReactor: The influence of the operational parameters. Bioresource Technology 2020, 301, 122752 .
AMA StyleGiorgio Mannina, Marco Capodici, Alida Cosenza, Daniele Di Trapani, Zhengyu Zhu, YongMei Li. Integrated Fixed Film Activated Sludge (IFAS) membrane BioReactor: The influence of the operational parameters. Bioresource Technology. 2020; 301 ():122752.
Chicago/Turabian StyleGiorgio Mannina; Marco Capodici; Alida Cosenza; Daniele Di Trapani; Zhengyu Zhu; YongMei Li. 2020. "Integrated Fixed Film Activated Sludge (IFAS) membrane BioReactor: The influence of the operational parameters." Bioresource Technology 301, no. : 122752.
In this study different scenarios were scrutinized to minimize the energy consumption of a membrane bioreactor system for wastewater treatment. Open-loop and closed-loop scenarios were investigated by two-step cascade control strategies based on dissolved oxygen, ammonia and nitrite concentrations. An integrated MBR model which includes also the greenhouse gas formation/emission processes was applied. A substantial energy consumption reduction was obtained for the closed-loop scenarios (32% for Scenario 1 and 82% for Scenario 2). The air flow control based on both ammonia and nitrite concentrations within the aerobic reactor (Scenario 2) provided excellent results in terms of reduction of operating cost reduction (64%), direct (10%) and indirect (81%) emissions.
Giorgio Mannina; Alida Cosenza; Taise Ferreira Rebouças. Aeration control in membrane bioreactor for sustainable environmental footprint. Bioresource Technology 2020, 301, 122734 .
AMA StyleGiorgio Mannina, Alida Cosenza, Taise Ferreira Rebouças. Aeration control in membrane bioreactor for sustainable environmental footprint. Bioresource Technology. 2020; 301 ():122734.
Chicago/Turabian StyleGiorgio Mannina; Alida Cosenza; Taise Ferreira Rebouças. 2020. "Aeration control in membrane bioreactor for sustainable environmental footprint." Bioresource Technology 301, no. : 122734.
Polyhydroxyalkanoates (PHAs) are biopolyesters accumulated as carbon and energy storage materials under unbalanced growth conditions by various microorganisms. They are one of the most promising potential substitutes for conventional non-biodegradable plastics due to their similar physicochemical properties, but most important, its biodegradability. Production cost of PHAs is still a great barrier to extend its application at industrial scale. In order to reduce that cost, research is focusing on the use of several wastes as feedstock (such as agro-industrial and municipal organic waste and wastewater) in a platform based on mixed microbial cultures. This review provides a critical illustration of the state of the art of the most likely-to-be-scale-up PHA production processes using mixed microbial cultures platform and waste streams as feedstock, with a particular focus on both, upstream and downstream processes. Current pilot scale studies, future prospects, challenges and developments in the field are also highlighted.
Giorgio Mannina; Dario Presti; Gabriela Montiel-Jarillo; Julián Carrera; María Eugenia Suárez-Ojeda. Recovery of polyhydroxyalkanoates (PHAs) from wastewater: A review. Bioresource Technology 2019, 297, 122478 .
AMA StyleGiorgio Mannina, Dario Presti, Gabriela Montiel-Jarillo, Julián Carrera, María Eugenia Suárez-Ojeda. Recovery of polyhydroxyalkanoates (PHAs) from wastewater: A review. Bioresource Technology. 2019; 297 ():122478.
Chicago/Turabian StyleGiorgio Mannina; Dario Presti; Gabriela Montiel-Jarillo; Julián Carrera; María Eugenia Suárez-Ojeda. 2019. "Recovery of polyhydroxyalkanoates (PHAs) from wastewater: A review." Bioresource Technology 297, no. : 122478.
A comprehensive plant-wide mathematical modelling comparison between conventional activated sludge (CAS) and Membrane bioreactor (MBR) systems is presented. The main aim of this study is to highlight the key features of CAS and MBR in order to provide a guide for an effective plant operation. A scenario analysis was performed to investigate the influence on direct and indirect greenhouse gas (GHG) emissions and operating costs of (i) the composition of inflow wastewater (scenario 1), (ii) operating conditions (scenario 2) and (iii) oxygen transfer efficiency (scenario 3). Scenarios show higher indirect GHG emissions for MBR than CAS, which result is related to the higher energy consumption in MBR. The simultaneous variation of the investigated factors (scenario 4) exacerbates direct and indirect GHG emissions for both CAS and MBR. Indeed, during scenario 4 a maximum direct GHG emissions of 0.94 kgCO2eq m−3 and 1.56 kgCO2eq m−3 for CAS and MBR, respectively, was obtained.
Giorgio Mannina; Alida Cosenza; Taise Ferreira Rebouças. A plant-wide modelling comparison between membrane bioreactors and conventional activated sludge. Bioresource Technology 2019, 297, 122401 .
AMA StyleGiorgio Mannina, Alida Cosenza, Taise Ferreira Rebouças. A plant-wide modelling comparison between membrane bioreactors and conventional activated sludge. Bioresource Technology. 2019; 297 ():122401.
Chicago/Turabian StyleGiorgio Mannina; Alida Cosenza; Taise Ferreira Rebouças. 2019. "A plant-wide modelling comparison between membrane bioreactors and conventional activated sludge." Bioresource Technology 297, no. : 122401.
The use of decision support systems (DSS) allows integrating all the issues related with sustainable development in view of providing a useful support to solve multi-scenario problems. In this work an extensive review on the DSSs applied to wastewater treatment plants (WWTPs) is presented. The main aim of the work is to provide an updated compendium on DSSs in view of supporting researchers and engineers on the selection of the most suitable method to address their management/operation/design problems. Results showed that DSSs were mostly used as a comprehensive tool that is capable of integrating several data and a multi-criteria perspective in order to provide more reliable results. Only one energy-focused DSS was found in literature, while DSSs based on quality and operational issues are very often applied to site-specific conditions. Finally, it would be important to encourage the development of more user-friendly DSSs to increase general interest and usability.
Giorgio Mannina; Taise Ferreira Rebouças; Alida Cosenza; Miquel Sànchez-Marrè; Karina Gibert. Decision support systems (DSS) for wastewater treatment plants – A review of the state of the art. Bioresource Technology 2019, 290, 121814 .
AMA StyleGiorgio Mannina, Taise Ferreira Rebouças, Alida Cosenza, Miquel Sànchez-Marrè, Karina Gibert. Decision support systems (DSS) for wastewater treatment plants – A review of the state of the art. Bioresource Technology. 2019; 290 ():121814.
Chicago/Turabian StyleGiorgio Mannina; Taise Ferreira Rebouças; Alida Cosenza; Miquel Sànchez-Marrè; Karina Gibert. 2019. "Decision support systems (DSS) for wastewater treatment plants – A review of the state of the art." Bioresource Technology 290, no. : 121814.
Mechanisms causing greenhouse gas (GHG) emission in wastewater treatment plants are of great interest among researchers, encouraging the development of new methods for wastewater management. Wastewater treatment plants (WWTPs) emit three major greenhouse gases during the treatment processes: CO2, CH4, and N2O. Additional amounts of CO2 and CH4 are produced during energy consumption, which can be considered an indirect source of GHGs. Recently, several efforts have been undertaken to assess GHGs from WWTPs, with particular attention paid to the N2O assessment due to its high warming potential (300 times stronger than CO2). This study proposes an integrated model platform for WWTP simulation, including the evaluation of both direct and indirect emissions as plant performance parameters. The results of extensive research demonstrate the importance of mathematical modeling for the development of a decision support system (DSS). The project involves four research units (RUs) united in effort to minimize the environmental impact of wastewater treatment plants in terms of both energy consumption and discharged pollutants (solids, liquids, and gases).
Donatella Caniani; Giovanni Esposito; Riccardo Gori; Cecilia Caretti; Giacomo Bellandi; Ignazio M. Mancini; Marianna Caivano; Raffaella Pascale; Alida Cosenza; Hafed AbouIssa; Giorgio Mannina. Toward a New Plant-Wide Experimental and Modeling Approach for Reduction of Greenhouse Gas Emission from Wastewater Treatment Plants. Journal of Environmental Engineering 2019, 145, 04019043 .
AMA StyleDonatella Caniani, Giovanni Esposito, Riccardo Gori, Cecilia Caretti, Giacomo Bellandi, Ignazio M. Mancini, Marianna Caivano, Raffaella Pascale, Alida Cosenza, Hafed AbouIssa, Giorgio Mannina. Toward a New Plant-Wide Experimental and Modeling Approach for Reduction of Greenhouse Gas Emission from Wastewater Treatment Plants. Journal of Environmental Engineering. 2019; 145 (8):04019043.
Chicago/Turabian StyleDonatella Caniani; Giovanni Esposito; Riccardo Gori; Cecilia Caretti; Giacomo Bellandi; Ignazio M. Mancini; Marianna Caivano; Raffaella Pascale; Alida Cosenza; Hafed AbouIssa; Giorgio Mannina. 2019. "Toward a New Plant-Wide Experimental and Modeling Approach for Reduction of Greenhouse Gas Emission from Wastewater Treatment Plants." Journal of Environmental Engineering 145, no. 8: 04019043.
A new protocol for polyhydroxyalkanoates (PHA) extraction from mixed microbial cultures (MMCs) is proposed. PHA-accumulating capacity of the MMC was selected in a sequencing batch reactor (SBR) fed with a synthetic effluent emulating a fermented oil mill wastewater (OMW). The highest recovery yield and purity (74±8 % and 100±5%, respectively) was obtained when using NH4-Laurate for which operating conditions of the extraction process such as temperature, concentration and contact time were optimized. Best conditions for PHA extraction from MMC turned to be: i) a pre-treatment with NaClO at 85°C with 1h of contact time, followed by ii) a treatment with lauric acid in a ratio acid lauric to biomass of 2:1 and 3h of contact time.
Giorgio Mannina; Dario Presti; Gabriela Montiel-Jarillo; María Eugenia Suárez-Ojeda. Bioplastic recovery from wastewater: A new protocol for polyhydroxyalkanoates (PHA) extraction from mixed microbial cultures. Bioresource Technology 2019, 282, 361 -369.
AMA StyleGiorgio Mannina, Dario Presti, Gabriela Montiel-Jarillo, María Eugenia Suárez-Ojeda. Bioplastic recovery from wastewater: A new protocol for polyhydroxyalkanoates (PHA) extraction from mixed microbial cultures. Bioresource Technology. 2019; 282 ():361-369.
Chicago/Turabian StyleGiorgio Mannina; Dario Presti; Gabriela Montiel-Jarillo; María Eugenia Suárez-Ojeda. 2019. "Bioplastic recovery from wastewater: A new protocol for polyhydroxyalkanoates (PHA) extraction from mixed microbial cultures." Bioresource Technology 282, no. : 361-369.
The present study is aimed to assess and characterize the structure of bacterial community in advanced activated sludge systems. In particular, activated sludge samples were collected from an Integrated Fixed-film Activated Sludge - Membrane Bioreactor pilot plant under a University of Cape Town configuration with in-series anaerobic (Noair)/anoxic (Anox)/aerobic (Oxy) reactors - and further analyzed. The achieved results - based on Next Generation Sequencing (NGS) of 16S rDNA amplicons - revealed that the bacterial biofilm (bf) communities on plastic carriers of Oxy and Anox reactors had a greater diversity compared to suspended (sp) bacterial flocs of Oxy, Anox and Noair. Indeed, the Shannon diversity indices of both biofilm communities were higher than those of suspended growth samples (Oxy-bf = 4.1 and Anox-bf = 4.2 vs. Oxy-sp = 3.4, Anox-sp = 3.5 and Noair-sp = 3.4). The most striking differences have been reported in Rhodobacteraceae being more abundant in biofilm specimens than in suspended biomass samples. The vast majority of the identified bacteria differs from those obtained by culture dependent method, thus suggesting that NGS-based method is really suitable to analyze the bacterial community composition, even in advanced systems for wastewater treatment.
Paolo Cinà; Giovanni Bacci; Walter Arancio; Giuseppe Gallo; Renato Fani; Anna Maria Puglia; Daniele Di Trapani; Giorgio Mannina. Assessment and characterization of the bacterial community structure in advanced activated sludge systems. Bioresource Technology 2019, 282, 254 -261.
AMA StylePaolo Cinà, Giovanni Bacci, Walter Arancio, Giuseppe Gallo, Renato Fani, Anna Maria Puglia, Daniele Di Trapani, Giorgio Mannina. Assessment and characterization of the bacterial community structure in advanced activated sludge systems. Bioresource Technology. 2019; 282 ():254-261.
Chicago/Turabian StylePaolo Cinà; Giovanni Bacci; Walter Arancio; Giuseppe Gallo; Renato Fani; Anna Maria Puglia; Daniele Di Trapani; Giorgio Mannina. 2019. "Assessment and characterization of the bacterial community structure in advanced activated sludge systems." Bioresource Technology 282, no. : 254-261.
A new model for accounting carbon and energy footprint of wastewater treatment plants (WWTPs) is proposed. The model quantifies direct and indirect greenhouse gas (GHG) emissions related to biological and physical processes of a WWTP. The model takes into account several innovative aspects with respect to already available literature models: i. kinetic/mass-balances; ii. nitrification as a two-step process; iii. nitrous oxide (N2O) formation during nitrification and denitrification both in dissolved and off-gas forms. A full-scale application has been performed by adopting the case study of a real WWTP. A scenario analysis was performed to quantify the influence of: composition of inflow wastewater (scenario 1), operating conditions (scenario 2), and oxygen transfer efficiency (scenario 3). Results have underlined the key role of the ratio between influent biodegradable carbon and nitrogen concentration on influencing direct and indirect GHG emissions. Direct GHG emissions increase from 0.49 to 0.63 kgCO2eq m-3 with the decrease of the influent ratio of the readily biodegradable carbon and organic and ammonia nitrogen. The increase of the influent organic and ammonia nitrogen favours the daily production of active ammonia oxidization biomass. The simultaneous variation of the investigated factors has amplified direct and indirect GHG emissions to a maximum value of 0.94 and 0.24 kgCO2eq m-3, respectively.
Giorgio Mannina; Taise Ferreira Rebouças; Alida Cosenza; Kartik Chandran. A plant-wide wastewater treatment plant model for carbon and energy footprint: Model application and scenario analysis. Journal of Cleaner Production 2019, 217, 244 -256.
AMA StyleGiorgio Mannina, Taise Ferreira Rebouças, Alida Cosenza, Kartik Chandran. A plant-wide wastewater treatment plant model for carbon and energy footprint: Model application and scenario analysis. Journal of Cleaner Production. 2019; 217 ():244-256.
Chicago/Turabian StyleGiorgio Mannina; Taise Ferreira Rebouças; Alida Cosenza; Kartik Chandran. 2019. "A plant-wide wastewater treatment plant model for carbon and energy footprint: Model application and scenario analysis." Journal of Cleaner Production 217, no. : 244-256.
G. Mannina; A. Cosenza; M. B. Neumann; P. A. Vanrolleghem. Global sensitivity analysis in wastewater treatment modelling. Advances in Wastewater Treatment 2019, 1 .
AMA StyleG. Mannina, A. Cosenza, M. B. Neumann, P. A. Vanrolleghem. Global sensitivity analysis in wastewater treatment modelling. Advances in Wastewater Treatment. 2019; ():1.
Chicago/Turabian StyleG. Mannina; A. Cosenza; M. B. Neumann; P. A. Vanrolleghem. 2019. "Global sensitivity analysis in wastewater treatment modelling." Advances in Wastewater Treatment , no. : 1.
Advances in Wastewater Treatment presents a compendium of the key topics surrounding wastewater treatment, assembled by looking at the future technologies, and provides future perspectives in wastewater treatment and modelling. It covers the fundamentals and innovative wastewater treatment processes (such as membrane bioreactors and granular process). Furthermore, it focuses attention on mathematical modelling aspects in the field of wastewater treatments by highlighting the key role of models in process design, operation and control. Other topics include: Anaerobic digestionBiological nutrient removalInstrumentation, control and automationComputational fluid dynamics in wastewaterIFAS systemsNew frontiers in wastewater treatmentGreenhouse gas emissions from wastewater treatmentEach topic is addressed by discussing past, present and future trends.Advances in Wastewater Treatment is a valid support for researchers, practitioners and also students to have a frame of the frontiers in wastewater treatment and modelling.ISBN: 9781780409702 (Paperback)ISBN: 9781780409719 (eBook)
Giorgio Mannina; George Ekama; Hallvard Ødegaard; Gustaf Olsson; B. Rusten; V. Parco; G. J. G. Du Toit; S. F. Corsino; T. R. Devlin; J. A. Oleszkiewicz; M. Torregrossa; B. Jefferson; E. McAdam; M. Pidou; Hansruedi Siegrist; Adriano Joss; Marc Boehler; Christa S. McArdell; Thomas Ternes; M. M. Yeshanew; G. Esposito; D. J. Batstone; P. N. L. Lens; M. Capodici; A. Cosenza; D. Di Trapani; M. C. M. Van Loosdrecht; I. Nopens; U. Rehman; Pernille Ingildsen; M. B. Neumann; P. A. Vanrolleghem. Advances in Wastewater Treatment. Advances in Wastewater Treatment 2019, 1 .
AMA StyleGiorgio Mannina, George Ekama, Hallvard Ødegaard, Gustaf Olsson, B. Rusten, V. Parco, G. J. G. Du Toit, S. F. Corsino, T. R. Devlin, J. A. Oleszkiewicz, M. Torregrossa, B. Jefferson, E. McAdam, M. Pidou, Hansruedi Siegrist, Adriano Joss, Marc Boehler, Christa S. McArdell, Thomas Ternes, M. M. Yeshanew, G. Esposito, D. J. Batstone, P. N. L. Lens, M. Capodici, A. Cosenza, D. Di Trapani, M. C. M. Van Loosdrecht, I. Nopens, U. Rehman, Pernille Ingildsen, M. B. Neumann, P. A. Vanrolleghem. Advances in Wastewater Treatment. Advances in Wastewater Treatment. 2019; ():1.
Chicago/Turabian StyleGiorgio Mannina; George Ekama; Hallvard Ødegaard; Gustaf Olsson; B. Rusten; V. Parco; G. J. G. Du Toit; S. F. Corsino; T. R. Devlin; J. A. Oleszkiewicz; M. Torregrossa; B. Jefferson; E. McAdam; M. Pidou; Hansruedi Siegrist; Adriano Joss; Marc Boehler; Christa S. McArdell; Thomas Ternes; M. M. Yeshanew; G. Esposito; D. J. Batstone; P. N. L. Lens; M. Capodici; A. Cosenza; D. Di Trapani; M. C. M. Van Loosdrecht; I. Nopens; U. Rehman; Pernille Ingildsen; M. B. Neumann; P. A. Vanrolleghem. 2019. "Advances in Wastewater Treatment." Advances in Wastewater Treatment , no. : 1.
An integrated membrane bioreactor (MBR) model was previously proposed and tested. The model provides a comprehensive and detailed description of the nitrogen biological removal processes with respect to up-to-date literature. This paper presents a sensitivity and uncertainty analysis aimed at identifying the key factors affecting the variability of the model predictions. The Standardized Regression Coefficients (SRC) method was adopted for the sensitivity analysis. The uncertainty analysis was employed by running Monte Carlo simulations by varying only the value of the key factors affecting the model outputs. The sensitivity analysis combined with the uncertainty analysis applied here enabled to gain useful insights about the robustness of the model. By means of the SRC method 45 model factors (of 122) were selected as important. The results obtained here allowed to investigate the advantage of a detailed description of the nitrogen transformation bioprocesses (nitrification/denitrification) in terms of model accuracy and uncertainty bandwidth. The model allows to simulate the intermediate product during nitrification/denitrification, thus providing the possibility to control the nitrogen compounds that favour the formation of nitrous oxide.
Giorgio Mannina; Alida Cosenza; Gaspare Viviani; George A. Ekama. Sensitivity and uncertainty analysis of an integrated ASM2d MBR model for wastewater treatment. Chemical Engineering Journal 2018, 351, 579 -588.
AMA StyleGiorgio Mannina, Alida Cosenza, Gaspare Viviani, George A. Ekama. Sensitivity and uncertainty analysis of an integrated ASM2d MBR model for wastewater treatment. Chemical Engineering Journal. 2018; 351 ():579-588.
Chicago/Turabian StyleGiorgio Mannina; Alida Cosenza; Gaspare Viviani; George A. Ekama. 2018. "Sensitivity and uncertainty analysis of an integrated ASM2d MBR model for wastewater treatment." Chemical Engineering Journal 351, no. : 579-588.
The objective of this paper is to evaluate the potential impact of in-sewer processes (COD components transformation and hydrogen sulphide production) on the design of sewer systems. The tool used for such analysis is a mathematical model derived from the WATS model (Wastewater Aerobic/anaerobic Transformation in Sewers) able to describe the processes occurring in the sewer system both under aerobic and anaerobic conditions. The model is applied to three catchments with, respectively, 10,000, 50,000 and 250,000 inhabitants connected to gravity sewer systems different in terms of type (separate or combined), slope, length, travel time, wastewater temperature. The simulation results enable to assess the effect of the in sewer transformations in terms of hydrogen sulphide formation and transformation of the biodegradable organic matter that is necessary for biological nutrients removal at the WWTP.
Giorgio Mannina; Paolo S. Calabrò; Gaspare Viviani. Mathematical Modelling of In-Sewer Processes as a Tool for Sewer System Design. Smart and Sustainable Planning for Cities and Regions 2018, 814 -819.
AMA StyleGiorgio Mannina, Paolo S. Calabrò, Gaspare Viviani. Mathematical Modelling of In-Sewer Processes as a Tool for Sewer System Design. Smart and Sustainable Planning for Cities and Regions. 2018; ():814-819.
Chicago/Turabian StyleGiorgio Mannina; Paolo S. Calabrò; Gaspare Viviani. 2018. "Mathematical Modelling of In-Sewer Processes as a Tool for Sewer System Design." Smart and Sustainable Planning for Cities and Regions , no. : 814-819.
Sensitivity and uncertainty assessment of integrated urban drainage water quality models are crucial steps in the evaluation of the reliability of model results. Indeed, the assessment of the reliability of the results of complex water quality models is crucial in understanding their significance. In the case of integrated urban drainage water quality models, due to the fact that integrated approaches are basically a cascade of sub-models (simulating the sewer system, wastewater treatment plant and receiving water body), uncertainty produced in one sub-model propagates to the following ones in a manner dependent on the model structure, the estimation of parameters and the availability and uncertainty of measurements in the different parts of the system. Uncertainty basically propagates throughout a chain of models in which the simulation output from upstream models is transferred to the downstream ones as input. The paper presents the uncertainty assessment of an integrated urban drainage model developed in previous studies by means of the Generalized Likelihood Uncertainty Estimation (GLUE) methodology. A straightforward approach based on the analysis of the coefficient of variation (Rxy). Rxy is defined as the ratio between the standard deviation (α) and the average (μ) value of the model output of reference taken into account. The analysis has been applied to an experimental catchment in Bologna (Italy) which consists of a part of the Bologna sewer network and a reach of the Savena river. The results showed that the method can be a useful tool for uncertainty analysis and for guiding the operator in the choice of the modelling approach.
Giorgio Mannina. Uncertainty Propagation in Integrated Urban Water Quality Modelling. Smart and Sustainable Planning for Cities and Regions 2018, 799 -806.
AMA StyleGiorgio Mannina. Uncertainty Propagation in Integrated Urban Water Quality Modelling. Smart and Sustainable Planning for Cities and Regions. 2018; ():799-806.
Chicago/Turabian StyleGiorgio Mannina. 2018. "Uncertainty Propagation in Integrated Urban Water Quality Modelling." Smart and Sustainable Planning for Cities and Regions , no. : 799-806.