Multi-objective optimization of water treatment operations for disinfection byproduct control

2020 ◽  
Vol 6 (3) ◽  
pp. 702-714
Author(s):  
William J. Raseman ◽  
Joseph R. Kasprzyk ◽  
R. Scott Summers ◽  
Amanda K. Hohner ◽  
Fernando L. Rosario-Ortiz
Keyword(s):  
Decision Making ◽  
Water Treatment ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Multi Objective Optimization ◽  
Disinfection Byproduct ◽  
Multi Objective ◽  
Plant Operations ◽  
Decision Making Framework

This paper introduces a novel decision-making framework for the optimization of water treatment plant operations.

Performance management of small water treatment plant operations: a decision support system

2017 ◽  
Vol 31 (3) ◽  
pp. 330-344 ◽  
Author(s):  
Dan Stein ◽  
Gopal Achari ◽  
Cooper H. Langford ◽  
Mohammed H. I. Dore ◽  
Husnain Haider ◽  
...  
Keyword(s):  
Decision Support ◽  
Water Treatment ◽  
Decision Support System ◽  
Performance Management ◽  
Support System ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Small Water ◽  
Plant Operations

Effect of Pre-Ozonation on Removal of Organic Matter during Water Treatment Plant Operations

1993 ◽  
Vol 27 (11) ◽  
pp. 37-45 ◽  
Author(s):  
Marc Edwards ◽  
Markus Boller ◽  
Mark M. Benjamin
Keyword(s):  
Organic Matter ◽  
Water Treatment ◽  
Organic Molecules ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Turbidity Removal ◽  
Volatile Organic ◽  
Plant Operations ◽  
High Concentrations ◽  
Main Effects

Pre-ozonation altered removal of organic matter during bench or full-scale water treatment through two main effects. First, pre-ozonation directly removed organic matter by mineralization, volatilization and/or stripping reactions, improving removal in comparison to unozonated systems. On the other hand, pre-ozonation decreased the surface charge of floc formed after coagulation with hydrolyzable metal salts, hindering adsorptive removal of the anionic organic molecules by floc surfaces and/or inducing stabilized floc formation; changes that decrease removal in comparison to unozonated systems. The relative importance of the two effects determined whether pre-ozonation enhanced or hindered removal of organic matter. In most water treatment plants pre-ozonation is predicted to have an adverse effect on physical removal of organic matter at ozone doses above about 0.7 mg O3/mg TOC, while enhanced removal may occur if relatively high concentrations of volatile organic matter are present. In ancillary results, pre-ozonation hindered turbidity removal and increased the concentration of coagulant metal residuals in finished drinking water at low coagulant doses.

scholarly journals Hydraulic modelling of drinking water treatment plant operations

2009 ◽  
Vol 2 (1) ◽  
pp. 15-20 ◽  
Author(s):  
G. I. M. Worm ◽  
G. A. M. Mesman ◽  
K. M. van Schagen ◽  
K. J. Borger ◽  
L. C. Rietveld
Keyword(s):  
Drinking Water ◽  
Water Treatment ◽  
Treatment Plant ◽  
Drinking Water Treatment ◽  
Water Treatment Plant ◽  
Current Frequency ◽  
Frequency Converters ◽  
Drinking Water Treatment Plant ◽  
Plant Operations ◽  
Set Up

Abstract. The flow through a unit of a drinking water treatment plant is one of the most important parameters in terms of a unit's effectiveness. In the present paper, a new EPAnet library is presented with the typical hydraulic elements for drinking water treatment processes well abstraction, rapid sand filtration and cascade and tower aeration. Using this treatment step library, a hydraulic model was set up, calibrated and validated for the drinking water treatment plant Harderbroek. With the actual valve position and pump speeds, the flows were calculated through the several treatment steps. A case shows the use of the model to calculate the new setpoints for the current frequency converters of the effluent pumps during a filter backwash.

Location selection for Installation of Surface Water Treatment Plant by Applying a New Sinusoidal Analytical Hierarchy Process

2019 ◽  
Vol 8 (3) ◽  
pp. 20-42
Author(s):  
Sudipa Choudhury ◽  
Apu Kumar Saha
Keyword(s):  
Decision Making ◽  
Water Treatment ◽  
Surface Water ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Location Selection ◽  
Simulation And Optimization ◽  
Surface Water Treatment ◽  
Selection For ◽  
Selection Of

Water treatment plants (WTPs) are responsible for ensuring supply of healthy water to urban and rural consumers for drinking and other related purposes. But the arbitrary selection of a location for installation or relocation of WTPs often fails the purpose of the plant. Presently studies in location selection for water treatment plant are rare. Multi-criteria decision making (MCDM) methods and bagged polynomial neural networks (PNN) were found to be exemplary and easy to use tools for prediction, simulation and optimization of decision-making objectives. The present study tries to apply the advantages of MCDM and bagged PNNs in the identification of an ideal location for a surface water treatment plant. The most significant parameter is found to be WQI which represents the overall quality of water suitable for domestic use. The PNN models were developed with all the selected eight alternatives as input and output. The algorithms like GMDH, SFS, SMS, and QC were used to estimate the weight of connections in between the input and hidden; and hidden and output layers separately for each segment. The application of these two soft computation tools provides an opportunity to the decision maker in the selection of optimal location with the help of an objective and cognitive method.

Value analysis system development for water treatment plant maintenance method selection

2010 ◽  
Vol 37 (9) ◽  
pp. 1213-1223
Author(s):  
Jong-Won Seo ◽  
Pyung-Ki Jung ◽  
Min-Jae Lee
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Water Treatment ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Automated System ◽  
Value Analysis ◽  
A Value ◽  
Method Selection ◽  
Analysis System

Even though the life span of a water treatment facility is relatively long, the decision-making process related to method selection for repair and reinforcement is generally influenced by an engineer's experience. These decisions should be made systematically after considering facility use, damage features, technical features, reconstruction costs, maintenance costs, and others. The purpose of this study is to provide a value analysis system for the effective selection of repairing and (or) reinforcing methods for water treatment plant concrete structures. Analysis of the concrete structure's damage type and maintenance records allowed the development of a value analysis system for more effective and systematic decision making. Performance evaluation criteria were established using a survey of field professionals as the decision basis. Weight for each performance criterion was determined by using the field personnel survey and the analytic hierarchy process (AHP) methodology. The rank rating standard for each performance evaluation criterion was established for each maintenance method type. Finally, an automated system was developed that can give guidance on repair and reinforcement method selection by applying proposed performance indices that are related to the maintenance method selection and the value analysis of the different methods.

scholarly journals A Multi-Objective Decision-Making Framework for Transportation Investments

2010 ◽  
Author(s):  
Mashrur Chowdhury ◽  
Pulin Tan
Keyword(s):  
Decision Making ◽  
Decision Problem ◽  
Discrete Problem ◽  
Multi Objective Optimization ◽  
Trade Off ◽  
Multi Objective ◽  
Transportation Investment ◽  
Continuous Problems ◽  
Decision Making Framework

This paper presents a framework based on multi-objective optimization that can be used to generate and analyze the most desirable transportation investment options based on their objectives and constraints. The framework, which is based on the surrogate worth trade-off analysis, could be applied to both discrete or continuous decision-problem scenarios. In a discrete problem, a pre-defined set of alternatives is available, whereas continuous problems are not characterized by a pre-defined set of alternatives. This framework was applied with the data generated for a Capital Beltway Corridor investment study. The multi-objective decision-making framework was found to be adaptable to this typical investment case study.

Effect of multiple GAC reactivations on disinfection byproduct precursor removal

2004 ◽  
Vol 4 (4) ◽  
pp. 71-78 ◽  
Author(s):  
D.H. Metz ◽  
J. DeMarco ◽  
R. Pohlman ◽  
F.S. Cannon ◽  
B.C. Moore
Keyword(s):  
Activated Carbon ◽  
Water Treatment ◽  
Organic Carbon ◽  
Total Organic Carbon ◽  
Treatment Plant ◽  
Granular Activated Carbon ◽  
Water Treatment Plant ◽  
The Other ◽  
Disinfection Byproduct ◽  
Better Than

The objective of this study was to compare the adsorption capabilities of the virgin carbon to the twelve and five times reactivated granular activated carbon (GAC). From a water treatment plant operator's perspective, there were very few practical differences in adsorption among the carbons tested for total organic carbon (TOC) and disinfection byproduct (DBP) precursors. However, some overall trends were observed. The GAC that was regenerated 5 times (R5) generally showed greater DBP precursor adsorption than the other GACs especially at the beginning of the runs. In some cases the carbon that was reactivated 12/13 times (R12 and R13) adsorbed slightly less DBP precursors than the other GACs especially in the latter part of the runs. The virgin (V) carbon performed better than the other GACs relative to DBP precursor removal in the latter part of the runs.

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