Error diagnostics and data reconciliation for activated sludge modelling using mass balances

Meijer, Sebastiaan; Spoel, H. van der; Susanti, Susan; Heijnen, Joseph J.; Loosdrecht, Mark C.M. van

doi:10.2166/wst.2002.0102

Cited by 42 publications

(39 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…(b) They occur in plug-flow-type pre-denitrification systems (Wentzel et al, 1992) with short anoxic residence times, particularly when considering the singlepass hydraulic retention time in the reactor; that is, the ratio of the volume of the reactor to the total inflow to the reactor (influent plus recycle plus internal recirculation flows). (c) Plug-flow-type selectors, usually situated in front of the main aeration tanks (plug-flow and/or carousel) to enhance biological phosphorus removal and prevent sludge bulking, have a short hydraulic retention time (e.g., in the order of 10 to 25 min as reported in Meijer et al, 2002), which implies even shorter single-pass biomass residence times on the order of minutes . (d) They occur in oxidation ditch systems with short phases, such as Orbal plants (Daigger and Littleton, 2000) and carousel plants (Meijer et al, 2002;Vanrolleghem et al, 2003), where circulation times are also on the order of minutes.…”

Section: Significance Of Modeling Transient Phenomenon For Activated mentioning

confidence: 99%

“…(c) Plug-flow-type selectors, usually situated in front of the main aeration tanks (plug-flow and/or carousel) to enhance biological phosphorus removal and prevent sludge bulking, have a short hydraulic retention time (e.g., in the order of 10 to 25 min as reported in Meijer et al, 2002), which implies even shorter single-pass biomass residence times on the order of minutes . (d) They occur in oxidation ditch systems with short phases, such as Orbal plants (Daigger and Littleton, 2000) and carousel plants (Meijer et al, 2002;Vanrolleghem et al, 2003), where circulation times are also on the order of minutes.…”

Section: Significance Of Modeling Transient Phenomenon For Activated mentioning

confidence: 99%

See 1 more Smart Citation

Transient response of aerobic and anoxic activated sludge activities to sudden substrate concentration changes

Vanrolleghem¹,

Sin²,

Gernaey³

2004

Biotech & Bioengineering

View full text Add to dashboard Cite

The state-of-the-art understanding of activated sludge processes as summarized in activated sludge models (ASMs) predicts an instantaneous increase in the biomass activity (which is measured, e.g., by the corresponding respiration rate OUR, NUR, etc.) under sudden substrate concentration changes. Experimental data (e.g., short-term batch respiration experiments under aerobic or anoxic conditions) collected for the calibration of the dynamic models (ASMs) often exhibit a transient phenomenon while attaining maximum activity, which cannot be explained by the current understanding of the activated sludge process. That transient phenomenon exhibits itself immediately upon addition of a substrate source to an endogenously respiring activated sludge sample and it usually takes a few minutes until the activated sludge reaches its maximum possible rate under given environmental conditions. This discrepancy between the state-of-the-art model and the experimental data is addressed in detail in this investigation. It is shown that the discrepancy is not caused by an error in the experimental set-up/data but it is rather due to model inadequacy. Among the hypotheses proposed, it appears that this transient response of the activated sludge most likely results from the sequence of intracellular reactions involved in substrate degradation by the activated sludge. Results from studies performed elsewhere with pure cultures (S. cerevisae and E. coli) support the hypothesis. The transient phenomenon can be described by a dynamic metabolic network model or by a simple first-order model, as adopted in this study. The transient phenomenon occurring in short-term batch respiration experiments is shown to interfere severely with parameter estimation if not modeled properly (2.8%, 11.5%, and 16.8% relative errors [average of three experiments] on Y(H), micro(maxH), and K(S), respectively). Proper modeling of this transient phenomenon whose time constant is on the order of minutes (1 to 3 min) is expected to contribute fundamentally to a better understanding and modeling of Orbal, carousel, and SBR-type treatment plants with fast-alternating process conditions, although such studies are beyond the scope of this report.

show abstract

Section: Significance Of Modeling Transient Phenomenon For Activated mentioning

confidence: 99%

Section: Significance Of Modeling Transient Phenomenon For Activated mentioning

confidence: 99%

Transient response of aerobic and anoxic activated sludge activities to sudden substrate concentration changes

Vanrolleghem¹,

Sin²,

Gernaey³

2004

Biotech & Bioengineering

View full text Add to dashboard Cite

show abstract

“…If not, there are infinite solutions. Further discussion of these techniques can be found elsewhere in relevant literature (Villadsen et al, 2011;Meijer et al, 2002;van der Heijden et al, 1994).…”

Section: ⋅ + ⋅mentioning

confidence: 99%

Experimental Methods in Wastewater Treatment

Loosdrecht¹,

Nielsen²,

López-Vázquez³

et al. 2016

Water Intelligence Online

143

View full text Add to dashboard Cite

PrefaceWastewater treatment is a core technology for water resources protection and reuse, as is clearly demonstrated by the great success of its consequent implementation in many countries worldwide. During the last decennia scientific research has made vast progress in understanding the complex and interdisciplinary aspects of the biological, biochemical, chemical and mechanical processes involved. It can be concluded that the global application of existing knowledge and experience in wastewater treatment technology will represent a cornerstone in future water management, as expressed in the Strategic Development Goals accepted by the UN in September 2015.Only about one fifth of the wastewater produced globally is currently being adequately treated. To achieve the goal for sustainable water management by 2030 would require extra wastewater treatment facilities for about 600,000 people each day. I am convinced that this book will make its own significant contribution to meeting this ambitious goal.In the near future, most of the global population will live in cities and in low and middle-income countries, where most wastewater is not adequately treated. Probably the most limiting factor in achieving the goals for sustainable water management is the lack of qualified, well-trained professionals, able to comprehend the scientific research results and transfer them into practice. It is therefore of prime importance to make currently available scientific advances and proven experiences in wastewater treatment technology applications easily accessible worldwide. This was one of the drivers for the development of this book, which represents an innovative contribution to help overcome such a capacity development challenge. The book is most definitely expected to contribute to bridging the gaps between the science and technology, and their practical applications.The great collection of authors and reviewers represents an interdisciplinary team of globally acknowledged experts. The book will therefore make a major contribution to establishing a common professional language, enhancing global communication between wastewater professionals. In addition, the authors have linked the description of the scientific basis for wastewater treatment processes with a video-based online course for the training of students, researchers, engineers, laboratory technicians and treatment plant operators, demonstrating commonly accepted experimentation procedures and their application for lab-, pilot-, and full-scale treatment plant operation.From the perspective of the IWA this book also has the great potential to enhance the development of a new generation of researchers and enable them to communicate on a global scale and beyond their specific field of expertise. Both aspects are urgently needed to develop adapted solutions for specific local conditions and to make them globally available for implementation.There has been a trend for some time that scientific research and practice have been growing apart from each other. Part of the rea...

show abstract

“…So, measurements of the state of the process are good to obtain useful process information and perform the process evaluation, WWTP design and benchmarking. [6,17] …”

Section: Case 1 (No Gross Error)mentioning

confidence: 99%

“…The evaluation of the fluxes of COD and nitrogen can be carried out before model calibration. [5] Following Nowak's work, Meijer et al [6] suggested a method based on mass balance of WWTPs. In their proposed approach, detecting errors and improving the data quality are performed by checking mass balances of WWTPs.…”

Section: Introductionmentioning

confidence: 99%

Assessment of environmental data quality and its effect on modelling error of full-scale plants with a closed-loop mass balancing

Lee

Rao

Kim

et al. 2015

Environmental Technology

View full text Add to dashboard Cite

Environmental plants are notorious for poor data quality and sensor reliability due to the hostile environment in which the measurement equipment has to function, where the measurements and flow rate equipment in plants must be mutually consistent. The aim of this study is to detect any error in the measured data in an environmental plant and reconcile the data with some gross errors by using a closed data reconciliation of mass balance and the Lagrange multiplier method. A data reconciliation method based on closed-loop mass balance is suggested in order to reduce or remove error within data and obtain reliable process data. The proposed method is applied to a full-scale plant to detect the gross error in measured data, investigate the effects of erroneous data on modelling errors and compare the modelling performances of the faulty data and reconciled data. The results show that the proposed method can efficiently detect any gross error in data, estimate the error-free data by a reconciliation method and enhance the modelling accuracy by using reconciled data. This study provides a simple way to incorporate prior knowledge of plant modelling of a closed-loop mass balancing to identify any gross error and reconcile the faulty measurements.

show abstract

Error diagnostics and data reconciliation for activated sludge modelling using mass balances

Cited by 42 publications

References 8 publications

Transient response of aerobic and anoxic activated sludge activities to sudden substrate concentration changes

Transient response of aerobic and anoxic activated sludge activities to sudden substrate concentration changes

Experimental Methods in Wastewater Treatment

Assessment of environmental data quality and its effect on modelling error of full-scale plants with a closed-loop mass balancing

Contact Info

Product

Resources

About