949 resultados para Sewage Purification
Resumo:
Estudi de la viabilitat tècnica i econòmica de la implantació de la digestió anaeròbia a l’EDAR de Castell-Platja d’Aro per tal de portar a terme un sistema de cogeneració. S’ha estudiant el funcionament actual amb digestió aeròbia i s’ha valorat mitjançant balanços de matèria, energia i econòmics els avantatges i desavantatges de substituir la digestió aeròbia per anaeròbia
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L’objectiu principal és presentar un nou prototipus d’eina per al disseny de les plantes de tractament d’aigües residuals utilitzant models mecànics dinàmics quantificant la incertesa
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L’objectiu del projecte és dissenyar, descriure i calcular les obres bàsiques d’instal•lacions necessàries per poder efectuar una urbanització d’una zona residencial de 30 hectàrees situada al terme municipal de Bescanó, la qual en l’actualitat no disposa del serveis bàsics
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The control and prediction of wastewater treatment plants poses an important goal: to avoid breaking the environmental balance by always keeping the system in stable operating conditions. It is known that qualitative information — coming from microscopic examinations and subjective remarks — has a deep influence on the activated sludge process. In particular, on the total amount of effluent suspended solids, one of the measures of overall plant performance. The search for an input–output model of this variable and the prediction of sudden increases (bulking episodes) is thus a central concern to ensure the fulfillment of current discharge limitations. Unfortunately, the strong interrelationbetween variables, their heterogeneity and the very high amount of missing information makes the use of traditional techniques difficult, or even impossible. Through the combined use of several methods — rough set theory and artificial neural networks, mainly — reasonable prediction models are found, which also serve to show the different importance of variables and provide insight into the process dynamics
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This paper presents a case study that explores the advantages that can be derived from the use of a design support system during the design of wastewater treatment plants (WWTP). With this objective in mind a simplified but plausible WWTP design case study has been generated with KBDS, a computer-based support system that maintains a historical record of the design process. The study shows how, by employing such a historical record, it is possible to: (1) rank different design proposals responding to a design problem; (2) study the influence of changing the weight of the arguments used in the selection of the most adequate proposal; (3) take advantage of keywords to assist the designer in the search of specific items within the historical records; (4) evaluate automatically thecompliance of alternative design proposals with respect to the design objectives; (5) verify the validity of previous decisions after the modification of the current constraints or specifications; (6) re-use the design records when upgrading an existing WWTP or when designing similar facilities; (7) generate documentation of the decision making process; and (8) associate a variety of documents as annotations to any component in the design history. The paper also shows one possible future role of design support systems as they outgrow their current reactive role as repositories of historical information and start to proactively support the generation of new knowledge during the design process
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To remove these pollutants from groundwater, different technologies can be used. Currently, the Environmental Protection Agency (EPA) considers ion exchange, reverse osmosis and reverse electrodialysis to be effective methods for the decrease of their concentrations, below their limit in drinking water. These technologies have some drawbacks, such as low selectivity towards the target pollutant, high energy or chemicals requirements, and the generation of waste brine (pollutants are separated from water, not treated), which require an additional treatment. Bio Electro Chemical Systems (BES) could fill this niche
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L’objecte del present treball és la realització d’una aplicació que permeti portar a terme el control estadístic multivariable en línia d’una planta SBR.Aquesta eina ha de permetre realitzar un anàlisi estadístic multivariable complet del lot en procés, de l’últim lot finalitzat i de la resta de lots processats a la planta.L’aplicació s’ha de realitzar en l’entorn LabVIEW. L’elecció d’aquest programa vecondicionada per l’actualització del mòdul de monitorització de la planta que s’estàdesenvolupant en aquest mateix entorn
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En el procés productiu de la indústria alimentària l’aigua és un factor de vital importància, augmentantels volums consumits degut al desenvolupament de la producció. Conseqüentment es genera un granvolum d’aigua residual amb una important càrrega orgànica, causant greus problemes al ser abocadadirectament sobre el medi natural o generant càrregues no assumibles per les EDAR.El tractament de les aigües residuals preocupa als empresaris, pressionats per una legislació cadavegada més exigent. La seva depuració ha de passar d’una situació hostil a treure avantatgeseconòmics, d’imatge i de valor afegit. El projecte es realitza a la indústria d’especejament d’aviram ESPECIALITATS COSTA SLU, situadaa Banyoles. S’estudia la viabilitat d’implantar un sistema de depuració de les seves aigües residualsper a reduir al màxim possible els paràmetres de sortida i complir amb la legislació vigent.Com a conseqüència dels increments de producció i de la inexistència d’un sistema de depuracióeficaç per a complir amb la legislació mediambiental, precisa una nova instal•lació de depuració de lesseves aigües residuals per assolir els límits d’abocament que imposa la legislació vigent.La superfície del solar és de 4.700 m2 i l’àrea construïda de 3.310 m2. L’empresa també disposa d’unsolar a l’altra banda del carrer Barcelona, que actualment s’utilitza com a pàrquing, i és on s’ubicarienles instal•lacions del present projecte
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Disseny d’una planta de producció de microalgues com a complement de depuració d’aigües residuals actuant com a tractament terciari i basant-se en l’aprofitament dels nutrients sortints de la depuració d’aigües convencionals, donant un segon ús al CO2 per tal de fer créixer les microalgues i utilitzant la biomassa resultant com a combustible. La principal millora seria el reciclatge dels nutrients i la reutilització del CO2 en biomassa aprofitable
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The activated sludge process - the main biological technology usually applied towastewater treatment plants (WWTP) - directly depends on live beings (microorganisms), and therefore on unforeseen changes produced by them. It could be possible to get a good plant operation if the supervisory control system is able to react to the changes and deviations in the system and can take thenecessary actions to restore the system’s performance. These decisions are oftenbased both on physical, chemical, microbiological principles (suitable to bemodelled by conventional control algorithms) and on some knowledge (suitable to be modelled by knowledge-based systems). But one of the key problems in knowledge-based control systems design is the development of an architecture able to manage efficiently the different elements of the process (integrated architecture), to learn from previous cases (spec@c experimental knowledge) and to acquire the domain knowledge (general expert knowledge). These problems increase when the process belongs to an ill-structured domain and is composed of several complex operational units. Therefore, an integrated and distributed AIarchitecture seems to be a good choice. This paper proposes an integrated and distributed supervisory multi-level architecture for the supervision of WWTP, that overcomes some of the main troubles of classical control techniques and those of knowledge-based systems applied to real world systems
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Aquest projecte forma part d’un estudi sobre l’eliminació de metalls pesants utilitzant com aadsorbents residus d’indústries agroalimentàries, que des de fa uns quants anys està duent aterme el grup de Metalls i Medi Ambient (MiMA) del Departament d’Enginyeria Química,Agrària i Tecnologia Agroalimentària de la Universitat de Girona. L’objecte del treball és parametritzar un procés basat en marro de cafè que inclouetapes de reducció/adsorció i precipitació per al tractament d’aigües residuals quecontenen Cr(VI) i altres metalls. La parametrització permetrà conèixer en quinmoment s’ha assolit la reducció total del Cr(VI) en la primera etapa del tractament perpoder passar a una segona etapa d’eliminació de la resta dels metalls presents en solució
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La fuerte demanda de alimentos que ha tenido lugar a nivel mundial en los últimos años, ha provocadoun cambio en los sistemas de producción agraria y para el caso de la ganadera se ha pasado de lastípicas explotaciones extensivas ligadas al terreno a las granjas intensivas, en donde se ha incrementadola carga ganadera, bien aumentando el número de cabezas en pastoreo o mediante la construcción degranjas intensivas sin suelo
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Membrane bioreactors (MBRs) are a combination of activated sludge bioreactors and membrane filtration, enabling high quality effluent with a small footprint. However, they can be beset by fouling, which causes an increase in transmembrane pressure (TMP). Modelling and simulation of changes in TMP could be useful to describe fouling through the identification of the most relevant operating conditions. Using experimental data from a MBR pilot plant operated for 462days, two different models were developed: a deterministic model using activated sludge model n°2d (ASM2d) for the biological component and a resistance in-series model for the filtration component as well as a data-driven model based on multivariable regressions. Once validated, these models were used to describe membrane fouling (as changes in TMP over time) under different operating conditions. The deterministic model performed better at higher temperatures (>20°C), constant operating conditions (DO set-point, membrane air-flow, pH and ORP), and high mixed liquor suspended solids (>6.9gL-1) and flux changes. At low pH (<7) or periods with higher pH changes, the data-driven model was more accurate. Changes in the DO set-point of the aerobic reactor that affected the TMP were also better described by the data-driven model. By combining the use of both models, a better description of fouling can be achieved under different operating conditions
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Occurrence and removal of 81 representative Pharmaceutical Active Compounds (PhACs) were assessed in a municipal WWTP located in a highly industrialized area, with partial water reuse after UV tertiary treatment and discharge to a Mediterranean river. Water monitoring was performed in an integrated way at different points in the WWTP and river along three seasons. Consistent differences between therapeutic classes were observed in terms of influent concentration, removal efficiencies and seasonal variation. Conventional (primary and secondary) treatment was unable to completely remove numerous compounds and UV-based tertiary treatment played a complementary role for some of them. Industrial activity influence was highlighted in terms of PhACs presence and seasonal distribution. Even if global WWTP effluent impact on the studied river appeared to be minor, PhACs resulted widespread pollutants in river waters. Contamination can be particularly critical in summer in water scarcity areas, when water flow decreases considerably
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Two experimental studies evaluated the effect of aerobic and membrane aeration changes on sludge properties, biological nutrient removal and filtration processes in a pilot plant membrane bioreactor. The optimal operating conditions were found at an aerobic dissolved oxygen set-point (DO) of 0.5mgO2L-1 and a membrane specific aeration demand (SADm) of 1mh-1, where membrane aeration can be used for nitrification. Under these conditions, a total flow reduction of 42% was achieved (75% energy reduction) without compromising nutrient removal efficiencies, maintaining sludge characteristics and controlled filtration. Below these optimal operating conditions, the nutrient removal efficiency was reduced, increasing 20% for soluble microbial products, 14% for capillarity suction time and reducing a 15% for filterability. Below this DO set-point, fouling increased with a transmembrane pressure 75% higher. SADm below 1mh-1 doubled the values of transmembrane pressure, without recovery after achieving the initial conditions