Instrumentation, Control and Automation in Wastewater Systems

Olsson, Gustaf; Nielsen, Marinus K.; Yuan, Zheng; Lynggaard-Jensen, A.; Steyer, J.-P.

doi:10.2166/9781780402680

Cited by 64 publications

(73 citation statements)

References 101 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…From that, we can identify the flow stratification and recognize dead spots, stagnant areas, and possible sludge accumulation as it was the influent area in our case. It is noteworthy that baffled ponds, where the hydraulic regime is similar to the ideal plug flow, can offer more flexibility for DO control but also greater challenges [52]. In plug-flow systems, different DO set-points can be chosen along the reactors, providing independent zones that can be used for different purposes, such as aerobic zones for nitrification and anoxic zones for denitrification.…”

Section: Insights For Oxygen Regulation In Wspsmentioning

confidence: 99%

A Closer Look on Spatiotemporal Variations of Dissolved Oxygen in Waste Stabilization Ponds Using Mixed Models

Pham

Echelpoel

et al. 2018

Water

View full text Add to dashboard Cite

Dissolved oxygen is an essential controlling factor in the performance of facultative and maturation ponds since both take many advantages of algal photosynthetic oxygenation. The rate of this photosynthesis strongly depends on the time during the day and the location in a pond system, whose roles have been overlooked in previous guidelines of pond operation and maintenance (O&M). To elucidate these influences, a linear mixed effect model (LMM) was built on the data collected from three intensive sampling campaigns in a waste stabilization pond in Cuenca, Ecuador. Within two parallel lines of facultative and maturation ponds, nine locations were sampled at two depths in each pond. In general, the output of the mixed model indicated high spatial autocorrelations of data and wide spatiotemporal variations of the oxygen level among and within the ponds. Particularly, different ponds showed different patterns of oxygen dynamics, which were associated with many factors including flow behavior, sludge accumulation, algal distribution, influent fluctuation, and pond function. Moreover, a substantial temporal change in the oxygen level between day and night, from zero to above 20 mg O 2 ·L −1 , was observed. Algal photosynthetic activity appeared to be the main reason for these variations in the model, as it was facilitated by intensive solar radiation at high altitude. Since these diurnal and spatial patterns can supply a large amount of useful information on pond performance, insightful recommendations on dissolved oxygen (DO) monitoring and regulations were delivered. More importantly, as a mixed model showed high predictive performance, i.e., high goodness-of-fit (R 2 of 0.94), low values of mean absolute error, we recommended this advanced statistical technique as an effective tool for dealing with high autocorrelation of data in pond systems.

show abstract

Section: Insights For Oxygen Regulation In Wspsmentioning

confidence: 99%

A Closer Look on Spatiotemporal Variations of Dissolved Oxygen in Waste Stabilization Ponds Using Mixed Models

Pham

Echelpoel

et al. 2018

Water

View full text Add to dashboard Cite

show abstract

“…Para el lector interesado se encuentra disponible una descripción general de control de los sistemas de tratamiento de aguas residuales en el libro de texto de . Una descripción actualizada del estado del arte de los problemas que pueden aparecer en el control de sistemas de aguas residuales se muestra en Olsson et al (2005). Este capítulo se centra específicamente en el control de sistemas de lodos activados y deliberadamente omite la operación de sistemas de alcantarillado.…”

Section: Conclusionesunclassified

“…Entre algunos ejemplos del estado del arte en las tecnologías del control de sistemas se pueden mencionar (ver también Olsson et al, 2005):  Control del OD con un punto de ajuste constante o variable como parte de la operación del proceso unitario del aireador.  Control de la duración de la fase de aireación en fases alternantes (por ejemplo, aireadas y no aireadas), basado en sensores de nutrientes, pero aún a nivel local.…”

Section: Ejemplos De Control De Retroalimentación En Sistemas De Tratunclassified

“…Esto no sólo se debe al hecho de que el proceso anaerobio implica un complicado mecanismo de pasos de degradación, sino también es debido a la falta de dispositivos analíticos apropiados. De hecho, la tecnología de los sensores constituye la parte más débil de la cadena del proceso (Liu, 2003;Olsson et al, 2005). Un control y monitoreo constante del proceso de digestión requiere en primer lugar de la identificación de los parámetros de proceso adecuados, los cuales pueden dar indicios de desequilibrios en el ecosistema microbiano y a la vez advertir sobre la existencia de perturbaciones externas.…”

Section: Ejemplo 154: Control Del Reactor Anaerobiounclassified

See 1 more Smart Citation

Tratamiento biológico de aguas residuales: Principios, modelación y diseño

López-Vázquez¹,

Méndez²,

García³

et al. 2017

Water Intell Online

View full text Add to dashboard Cite

“…Nevertheless, some disadvantages are also to be expected. Anaerobic digestion is a complex process that involves microorganisms which are highly sensitive to overloads or disturbances of the process (Olsson et al, 2005). Due to this complex nature, the use of mathematical modeling is recommended since a well defined mathematical model can be highly effective for assessment, optimization and design of existing or suggested processes (Batstone and Keller, 2003).…”

Section: Introductionmentioning

confidence: 99%

Modeling the Two-Stage Anaerobic Digestion of Domestic Wastewater With the Development of a Monitoring Application

Lille

Forstner

Groß

et al. 2016

Braz. J. Chem. Eng.

View full text Add to dashboard Cite

-The IWA Anaerobic Digestion Model No. 1 (ADM1) was chosen to simulate a two-stage anaerobic digestion lab-scale plant treating domestic wastewater. Initially, the model was preliminary tested using synthetic wastewater. The simulation results were satisfactorily compared to NH 4 + and chemical oxygen demand (COD) data for the first and second stages, respectively. A transformation method was then applied to estimate from the domestic wastewater composition the input variables to the ADM1. After proper calibration and further validation, the model was able to successfully predict the COD degradation from a varying influent, showing its practical applicability. Finally, a standalone application based on the validated model was developed to be used for monitoring purposes at the treatment plant. The developed application is suitable for direct implementation at a full-scale plant without the need of additional software or specialized assistance.

show abstract

Instrumentation, Control and Automation in Wastewater Systems

Cited by 64 publications

References 101 publications

A Closer Look on Spatiotemporal Variations of Dissolved Oxygen in Waste Stabilization Ponds Using Mixed Models

A Closer Look on Spatiotemporal Variations of Dissolved Oxygen in Waste Stabilization Ponds Using Mixed Models

Tratamiento biológico de aguas residuales: Principios, modelación y diseño

Modeling the Two-Stage Anaerobic Digestion of Domestic Wastewater With the Development of a Monitoring Application

Contact Info

Product

Resources

About