Source Separation of Urine as an Alternative Solution to Nutrient Management in Wastewater Treatment Plants: A Model-based Analysis

2012 ◽  
Vol 2012 (10) ◽  
pp. 5308-5323
Author(s):  
Jose Jimenez ◽  
Charles Bott ◽  
Nancy Love ◽  
John Bratby
Keyword(s):  
Wastewater Treatment ◽  
Nutrient Management ◽  
Wastewater Treatment Plants ◽  
Source Separation ◽  
Alternative Solution ◽  
Model Based ◽  
Model Based Analysis

Components of a model-based operation system for wastewater treatment plants

1999 ◽  
Vol 39 (4) ◽  
pp. 103-111 ◽  
Author(s):  
Frank Obenaus ◽  
Karl-Heinz Rosenwinkel ◽  
Jens Alex ◽  
Ralf Tschepetzki ◽  
Ulrich Jumar
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plants ◽  
Operation System ◽  
Model Based ◽  
Measuring Devices ◽  
Crucial Component ◽  
Simulation Calculation ◽  
On Line ◽  
Main Components

This report presents the main components of a system for the model-based control of aerobic biological wastewater treatment plants. The crucial component is a model which is linked to the actual processes via several interfaces and which contains a unit which can immediately follow up the current process state. The simulation calculation of the model is based on data which are yielded by on-line measuring devices. If the sensors should fail at times, there are available a number of alternative concepts, some of which are based on the calculations of artificial neural networks or linear methods.

Fault detection for control of wastewater treatment plants

2006 ◽  
Vol 53 (4-5) ◽  
pp. 375-382 ◽  
Author(s):  
O. Schraa ◽  
B. Tole ◽  
J.B. Copp
Keyword(s):  
Wastewater Treatment ◽  
Process Control ◽  
Real Time ◽  
Control Structure ◽  
Wastewater Treatment Plants ◽  
Process Models ◽  
Sensor Data ◽  
Time Data ◽  
Model Based Control ◽  
Model Based

Interest in real-time model-based control is increasing as more and more facilities are being asked to meet stricter effluent requirements while at the same time minimizing costs. It has been identified that biological process models and automated process control technologies are being used at wastewater treatments plants throughout the world and that great potential for optimising biotreatment may exist with the integration of these two technology areas. According to our experience, wastewater treatment plants are indeed looking for ways to successfully integrate their modelling knowledge into their process control structure; however, there are practical aspects of this integration that must be addressed if the benefits of this integration are to be realised. This paper discusses the practical aspects of monitoring, filtering and analysing real sensor data with an aim to produce a reliable real-time data stream that might be used within a model-based control structure. Several real case study examples are briefly discussed in this paper.

Model-based methodology for plant-wide analysis of wastewater treatment plants: industrial case study

2015 ◽  
Vol 10 (3) ◽  
pp. 517-526 ◽  
Author(s):  
C. Puchongkawarin ◽  
C. Menichini ◽  
C. Laso-Rubido ◽  
S. Fitzgerald ◽  
B. Chachuat
Keyword(s):  
Wastewater Treatment ◽  
Energy Use ◽  
Dynamic Models ◽  
Wastewater Treatment Plants ◽  
Fugitive Emissions ◽  
Industrial Case Study ◽  
Effluent Quality ◽  
Operating Variables ◽  
Model Based ◽  
Conventional Activated Sludge

This paper presents the application of a model-based methodology for improved understanding of the tight interplay between effluent quality, energy use, and fugitive emissions in wastewater treatment plants. Dynamic models are developed and calibrated in an objective to predict the performance of a conventional activated sludge plant owned and operated by Sydney Water, Australia. A scenario-based approach is applied to quantify the effect of key operating variables on the effluent quality, energy use, and fugitive emissions. Operational strategies that enable a reduction in aeration energy by 10–20% or a reduction of total nitrogen discharge down to 3 mg L−1 are identified. These results are also compared to an upgraded plant with reverse osmosis in terms of energy consumption and greenhouse gas emissions. This improved understanding of the relationship between nutrient removal, energy use, and emissions will feed into discussions with environmental regulators regarding nutrient discharge licensing.

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