Dynamic influent pollutant disturbance scenario generation using a phenomenological modelling approach

Gernaey, Krist V.; Flores-Alsina, Xavier; Rosén, Christian; Benedetti, Lorenzo; Jeppsson, Ulf

doi:10.1016/j.envsoft.2011.06.001

Cited by 125 publications

(98 citation statements)

References 30 publications

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“…The amount and quality of information and data available for the dynamic influent will generally depend on the intended purpose of a plant-wide model. When the model is intended to be used as a tool for increasing understanding and/or for scenario analysis simulations, a dynamic influent generator model may be an efficient to tool to generate high frequency data and only require average daily (Gernaey et al 2011) or even weekly measurements (Section 5.3.2). The influent generator model used in this study provided longer-term influent flow and pollutant profiles (dry and wet conditions) which were comparable to real full-scale data (Section 5.3.2) and appeared to be reliable enough for plant-wide simulation (Section 5.3.3).…”

Section: Model Performance and Usementioning

confidence: 99%

“…As is seen in Figure 5.3A, the contribution of rainfall had a significant impact on the flowrate profile and peaks, which also impacted on the concentrations of other components in the influent. Rainfall patterns were expected to affect the flowrate through infiltration to sewer pipes via the soil and run-off from impervious surfaces (Gernaey et al 2011). …”

Section: Dynamic Plant Influentmentioning

confidence: 99%

“…A phenomenological dynamic influent pollutant disturbance scenario generator (DIPDSG) described by Gernaey et al (2011) was used to re-create longer-term dynamics.…”

Section: Synthetic (Longer-term) Influent Data Generationmentioning

confidence: 99%

“…To date, there has not been substantial experimentalbased work focussed on systematic development of a general precipitation modelling approach. With increasing interest in correctly predicting precipitation, such as with struvite for phosphorus resource recovery (Galbraith et al 2014, Rahaman et al 2014, and with the rise in plant-wide model descriptions (Gernaey et al 2011) to develop new control strategies that consider nutrient recovery, a generally applicable and robust model approach is required for both detailed mechanistic descriptions and broader engineering analysis.…”

Section: Introductionmentioning

confidence: 99%

“…The model analysis is extended to a set of test versions (two base cases and one scenario extension), also separately applying a dynamic influent description generated synthetically (Gernaey et al, 2011) and adjusted to the studied catchment characteristics. Consistency between model and expected results is further assessed.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic modelling of minerals precipitation in wastewater treatment

Mbamba¹

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In wastewater treatment, there is an increasing focus on nutrient and energy recovery and a reduction in energy consumption to counter climate change. Because of this, integrated mathematical modelling platforms are required to support plant-wide developments making use of emerging, resilient and environmental-friendly technologies. A reliable model description of a wastewater treatment plant should include both biology and physico-chemistry. However, existing standard models used across the wastewater sector have a biological focus with over-simplified descriptions of important physicochemistry, especially with minerals precipitation which is a very important class of physicochemical reactions.As part of development of a more widely applicable physicochemical framework, this thesis sought to identify a suitable minerals precipitation modelling approach that could give reasonable results in mainstream use with wastewater treatment. This research aim was approached in three steps. Firstly a review of available modelling approaches suggested a simple equilibrium kinetic-based modelling approach could be feasible. This approach was then validated in a simple system of calcite in synthetic solutions using pH titration experiments with the reliable Constant Composition Method (CCM).Further statistical analysis focused on clarifying key environmental factors that influence calcite precipitation to determine whether these are necessary to include in a model. Secondly, the proposed model approach was further tested on different types of wastewater and for multiple parallel precipitation reactions. Experiments included dynamic titration or aeration with synthetic wastewater and real wastewater. Thirdly, the general physicochemical modelling approach was implemented in a plant-wide platform together with standard biological models, namely activated sludge model No 2 (ASM2d) and Anaerobic Digestion Model No. 1 (ADM1). The plant-wide model evaluation compared simulations with real data from a full-scale wastewater treatment plant, and used steadystate, dynamic and scenario analyses to test the model performance.Experimental evidence for calcite precipitating in synthetic aqueous solutions, suggested that minerals precipitation kinetics could be reliably described with a 1 st order dependency on mineral Further testing for multi-species systems in real wastewater indicated that precipitation was dominated by the mineral struvite, forming together with varied and minor amounts of calcium phosphate and some calcium carbonate. Kinetic rate coefficients (kcryst), which were statistically fitted, were generally in the range 0.35-11.6 h -1 with 95% confidence intervals of 10-80% relative.The results confirmed that the baseline model approach provided a statistically good fit of measured pH, dissolved calcium, magnesium, total inorganic carbon and phosphate. With this application, the precipitation modelling approach offered the advantage of only requiring a minimal number of empirical fitted parameters (kcryst values), res...

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Section: Model Performance and Usementioning

confidence: 99%

Section: Dynamic Plant Influentmentioning

confidence: 99%

“…A phenomenological dynamic influent pollutant disturbance scenario generator (DIPDSG) described by Gernaey et al (2011) was used to re-create longer-term dynamics.…”

Section: Synthetic (Longer-term) Influent Data Generationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dynamic modelling of minerals precipitation in wastewater treatment

Mbamba¹

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Model‐based analysis and optimization of a full‐scale industrial high‐rate anaerobic bioreactor

Feldman

Flores-Alsina

Kjellberg

et al. 2018

Biotech & Bioengineering

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The objective of this paper is to present the model-based optimization results of an anaerobic granular sludge internal circulation reactor. The International Water Association Anaerobic Digestion Model No. 1 extended with phosphorus (P), sulfur (S), and ethanol is used to describe the main biological and physico-chemical processes. The high-rate conditions within the reactor are simulated using a flow + reactor model comprised of a series of continuous stirred tank reactors followed by an ideal total suspended solids separation unit. Following parameter estimation by least squares on the measured data, the model had a relative mean error of 13 and 15% for data set #1 and data set #2, respectively. Response surfaces show that the reactor performance index (a metric combining energy recovery in the form of heat and electricity, as well as chemicals needed for pH control) could be improved by 45% when reactor pH is reduced down to 6.8. Model-based results reveal that influent S does not impose sufficient negative impacts on energy recovery (+5.7%, in MWh/day,+0.20 M€/year when influent S is removed) to warrant the cost of its removal (3.58 M€/year). In fact, the process could handle even higher S loads (ensuring the same degree of conversion) as long as the pH is maintained above 6.8. Nevertheless, a higher S load substantially increases the amount of added NaOH to maintain the desired operational pH (>25%) due to the acidic behavior of HS . CO stripping decreases the buffer capacity of the system and hence use of chemicals for pH control. Finally, the paper discusses the possibilities and limitations of the proposed approach, and how the results of this study will be put into practice.

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The Benchmark Simulation Modelling Platform – Areas of Recent Development and Extension

Jeppsson

2017

Lecture Notes in Civil Engineering

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Dynamic influent pollutant disturbance scenario generation using a phenomenological modelling approach

Cited by 125 publications

References 30 publications

Dynamic modelling of minerals precipitation in wastewater treatment

Dynamic modelling of minerals precipitation in wastewater treatment

Model‐based analysis and optimization of a full‐scale industrial high‐rate anaerobic bioreactor

The Benchmark Simulation Modelling Platform – Areas of Recent Development and Extension

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