Wastewater Treatment Plants under Transient Loading – Performance, Modelling and Control

Harremoës, Poul; Capodaglio, Andrea G.; Hellström, Bengt; Henze, Mogens; Jensen, K. N.; Lynggaard-Jensen, A.; Otterpohl, Ralf; Søeberg, H.

doi:10.2166/wst.1993.0292

Cited by 77 publications

(46 citation statements)

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“…The northern branch was monitored in the present study Indeed, wet weather loads affect activated sludge settling tanks, and could significantly affect the effluent quality (Harremoes et al 1993). In particular, the impact of stormwater can be summarised as follows (Stricker et al 2003): an increase in sludge handling from the primary and secondary treatment processes, an increase in oxygen demand, a decrease in the removal efficiencies, and sludge blanket overflows in the plant effluent.…”

Section: The Adopted Case Study and The Monitoring Campaignmentioning

confidence: 99%

Urban water quality modelling: a parsimonious holistic approach for a complex real case study

Freni

Mannina

Viviani

2010

Water Science and Technology

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In the past three decades, scientific research has focused on the preservation of water resources, and in particular, on the polluting impact of urban areas on natural water bodies. One approach to this research has involved the development of tools to describe the phenomena that take place on the urban catchment during both wet and dry periods. Research has demonstrated the importance of the integrated analysis of all the transformation phases that characterise the delivery and treatment of urban water pollutants from source to outfall. With this aim, numerous integrated urban drainage models have been developed to analyse the fate of pollution from urban catchments to the final receiving waters, simulating several physical and chemical processes. Such modelling approaches require calibration, and for this reason, researchers have tried to address two opposing needs: the need for reliable representation of complex systems, and the need to employ parsimonious approaches to cope with the usually insufficient, especially for urban sources, water quality data. The present paper discusses the application of a be-spoke model to a complex integrated catchment: the Nocella basin (Italy). This system is characterised by two main urban areas served by two wastewater treatment plants, and has a small river as the receiving water body. The paper describes the monitoring approach that was used for model calibration, presents some interesting considerations about the monitoring needs for integrated modelling applications, and provides initial results useful for identifying the most relevant polluting sources.

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Section: The Adopted Case Study and The Monitoring Campaignmentioning

confidence: 99%

Urban water quality modelling: a parsimonious holistic approach for a complex real case study

Freni

Mannina

Viviani

2010

Water Science and Technology

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“…Wiese et al 2005;Trä nckner et al 2007;Seggelke et al 2008). Generally, the sedimentation process in the secondary clarifier and nitrification are the bottlenecks for an increased loading (Harremoë s et al 1993;Seggelke & Rosenwinkel 2002). Especially at high sludge volume indices (SVI) the risk of raising sludge blankets and turbidity peaks can severely limit the potential capacity increase.…”

Section: Introductionmentioning

confidence: 99%

Model-based comparison of two ways to enhance WWTP capacity under stormwater conditions

Ahnert¹,

Tränckner²,

Günther³

et al. 2009

Water Science and Technology

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Two different approaches to increase the fraction of combined water treated in the wastewater treatment plant (WWTP) which would otherwise contribute to combined sewer overflows (CSO) are presented and compared based on modelling results with regard to their efficiencies during various rain events. The first option is to generally increase the WWTP inflow according to its actual capacity rather than pre-setting a maximum that applies to worst case loading. In the second option the WWTP inflow is also increased, however, the extra inflow of combined water is bypassing the activated sludge tank and directly discharged to the secondary clarifier. Both approaches have their advantages. For the simulated time series with various rain events, the reduction of total COD load from CSOs and WWTP effluent discharged to the receiving water was up to 20% for both approaches. The total ammonia load reduction was between 6% for the bypass and 11% for inflow increase. A combination of both approaches minimises the adverse effects and the overall emission to the receiving water.

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“…Although wastewater quality parameters can be measured by laboratory analyses, a significant time delay in the range of minutes to a few days is usually unavoidable. This lack of suitable process variable information in a timely manner limits the effective control of effluent quality [2,3].…”

Section: Introductionmentioning

confidence: 99%

Application of steady-state and dynamic modeling for the prediction of the BOD of an aerated lagoon at a pulp and paper millPart I. Linear approaches

Oliveira-Esquerre

Seborg

Bruns

et al. 2004

Chemical Engineering Journal

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Accurate well-timed measurement of quality variables is essential to the successful monitoring and controlling of wastewater treatment systems. Because the measurements of these variables are difficult and often involve large time delays, predictive models for target quality variables have been widely considered. However, many microbial reactions and their interactions with the environment result in time dependent processes, making the development of bioprocess models difficult and time-consuming. In this paper, steady-state and dynamic predictive models based on multiple linear regression (MLR) and partial least squares (PLS) regression are presented. Water quality measurements and process information are used to develop models to predict biochemical oxygen demand (BOD) at the inlet and outlet of an aerated lagoon of a pulp and paper mill operated by International Paper of Brazil (IPB). The results show that linear steady-state and dynamic models are able to predict inlet and outlet BOD even for a complex process that has operational data limitations (imprecise measurements, a large number of missing values, etc.). A companion paper [Chem. Eng. J., submitted for publication] reports static and dynamic nonlinear models that were developed from the same 4 years of data using a neural network approach. Together, the two papers provide a well-documented application of linear and nonlinear empirical modeling techniques to an industrial case study. The modeling techniques are also valid for other types of industrial applications.

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Wastewater Treatment Plants under Transient Loading – Performance, Modelling and Control

Cited by 77 publications

References 0 publications

Urban water quality modelling: a parsimonious holistic approach for a complex real case study

Urban water quality modelling: a parsimonious holistic approach for a complex real case study

Model-based comparison of two ways to enhance WWTP capacity under stormwater conditions

Application of steady-state and dynamic modeling for the prediction of the BOD of an aerated lagoon at a pulp and paper millPart I. Linear approaches

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