Functional Approach Leads to Successful ICA across 124 Water and 389 Wastewater Treatment Works

1993 ◽  
Vol 28 (11-12) ◽  
pp. 37-43
Author(s):  
M. J. Parker ◽  
R. J. Casey ◽  
L. K. Reynolds ◽  
R. R. de Vries ◽  
T. M. Brueck ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Process Control ◽  
Customer Service ◽  
Control Strategy ◽  
Cost Effective ◽  
Functional Approach ◽  
Director General ◽  
Functional Requirements ◽  
Systems Research ◽  
And Control

Thames Water Utilities Limited operates a complex network of 124 water and 389 wastewater treatment works. Regulatory requirements are driving a massive capital programme of more than ₤2 Billion over 5 years to improve performance of these facilities. Improvements are planned, engineered, and operated by a variety of internal and external groups and individuals. Shareholders are demanding profitability and the Director General is pushing for improvements to customer service. To achieve its objectives, Thames has developed an instrumentation, control and automation (ICA) systems master plan. The plan is based on the utility s water and wastewater functional requirements. The functional approach is applied to the large number of diverse facilities by grouping facilities and processes into classifications. The approach is used throughout the plan. Each process and its associated process control strategy are clearly defined to ensure consistency and the cost-effective implementation of instrumentation and control across Thames. The functional approach was developed for each process control strategy using a series of structured workshops to achieve consensus and company-wide acceptance. Each department of the utility was involved in the workshops (including engineering, operations, maintenance, management systems, research and development, operational science). Top management sponsored the planning effort and committed to making the plan a reality.

Optimization and Control Petroleum Refinery Wastewater Treatment Systems — Status, Trends and Needs

1989 ◽  
Vol 24 (3) ◽  
pp. 463-477
Author(s):  
Stephen G. Nutt
Keyword(s):  
Wastewater Treatment ◽  
Process Control ◽  
Petroleum Refinery ◽  
Control Strategies ◽  
Refinery Wastewater ◽  
Statistical Process ◽  
Petroleum Refinery Wastewater ◽  
Optimization And Control ◽  
And Control ◽  
Wastewater Treatment Systems

Abstract Based on discussions in workshop sessions, several recurring themes became evident with respect to the optimization and control of petroleum refinery wastewater treatment systems to achieve effective removal of toxic contaminants. It was apparent that statistical process control (SPC) techniques are finding more widespread use and have been found to be effective. However, the implementation of real-time process control strategies in petroleum refinery wastewater treatment systems is in its infancy. Considerable effort will need to be expended to demonstrate the practicality of on-line sensors, and the utility of automated process control in petroleum refinery wastewater treatment systems. This paper provides a summary of the discussions held at the workshop.

scholarly journals Recent Advances in Dynamic Modeling and Process Control of PVA Degradation by Biological and Advanced Oxidation Processes: A Review on Trends and Advances

Environments ◽  
2021 ◽  
Vol 8 (11) ◽  
pp. 116
Author(s):  
Yi-Ping Lin ◽  
Ramdhane Dhib ◽  
Mehrab Mehrvar
Keyword(s):  
Wastewater Treatment ◽  
Process Control ◽  
Dynamic Modeling ◽  
Reaction Mechanisms ◽  
Industrial Wastewater ◽  
Advanced Oxidation Processes ◽  
Advanced Oxidation ◽  
Oxidation Processes ◽  
Treatment Technologies ◽  
And Control

Polyvinyl alcohol (PVA) is an emerging pollutant commonly found in industrial wastewater, owing to its extensive usage as an additive in the manufacturing industry. PVA’s popularity has made wastewater treatment technologies for PVA degradation a popular research topic in industrial wastewater treatment. Although many PVA degradation technologies are studied in bench-scale processes, recent advancements in process optimization and control of wastewater treatment technologies such as advanced oxidation processes (AOPs) show the feasibility of these processes by monitoring and controlling processes to meet desired regulatory standards. These wastewater treatment technologies exhibit complex reaction mechanisms leading to nonlinear and nonstationary behavior related to variability in operational conditions. Thus, black-box dynamic modeling is a promising tool for designing control schemes since dynamic modeling is more complicated in terms of first principles and reaction mechanisms. This study seeks to provide a survey of process control methods via a comprehensive review focusing on PVA degradation methods, including biological and advanced oxidation processes, along with their reaction mechanisms, control-oriented dynamic modeling (i.e., state-space, transfer function, and artificial neural network modeling), and control strategies (i.e., proportional-integral-derivative control and predictive control) associated with wastewater treatment technologies utilized for PVA degradation.

Speed Ratio Control Study on CVT with Electrical Control and Motor as Actuator (EM-CVT)

2013 ◽  
Vol 787 ◽  
pp. 886-890
Author(s):  
Lan Chun Zhang ◽  
You Jun Ma ◽  
Shao Yi Bel
Keyword(s):  
Control Strategy ◽  
Control Method ◽  
Speed Ratio ◽  
Electronic Control ◽  
Functional Requirements ◽  
Change Characteristics ◽  
Ratio Change ◽  
Working Principle ◽  
And Control ◽  
Control Study

In this paper,a novel CVT with electronic control and a motor as actuator (EM-CVT) is presented, whose speed ratio can be adjusted by driving the two movable discs of the primary and secondary pulley at the same time. Firstly, the EM-CVT transmission dynamics mode was established based on the analysis of EM-CVT working principle and ratio change characteristics. Secondly, the speed ratio control strategy and control method for EM-CVT was designed according to the EM-CVT features and functional requirements of the control system; Finally, the simulation was carried out to verify the validity of the control strategy and meth

Wastewater treatment plant, process control experiences using a minicomputer

1983 ◽  
Vol 10 (2) ◽  
pp. 214-222 ◽  
Author(s):  
Brian A. Monaghan
Keyword(s):  
Wastewater Treatment ◽  
Process Control ◽  
Activated Sludge ◽  
Data Acquisition ◽  
Real Time ◽  
Treatment Plant ◽  
Plant Performance ◽  
Oxygen Control ◽  
Dissolved Oxygen Control ◽  
And Control

Since 1978, the Wastewater Technology Centre has investigated the use of continuous monitoring sensors and real-time computers for automated data acquisition and control of the activated sludge process. The aim of this work is to improve plant performance and reliability through the application of effective process control strategies.This paper highlights our experiences pertaining to: (a) evaluation of online instrumentation; (b) software development for data acquisition and control; and (c) process control strategies investigated. The majority of this study was carried out using two parallel 16.4 m3∙d pilot plants interfaced to an HP 1000 minicomputer. Keywords: Activated sludge, automated process control, wastewater treatment, dissolved oxygen control, online instrumentation, real-time computer, energy saving, minicomputer, step feed aeration.

scholarly journals Capitalizing RFID Technology as Cost-Effective Real-Time Process Monitoring Tool in Wastewater Treatment: Two Case Studies

10.29007/v639 ◽  
2018 ◽  
Author(s):  
Johannus Wilhelmus Wouters ◽  
Jai Sankar Seelam ◽  
Klas Jan Agema
Keyword(s):  
Wastewater Treatment ◽  
Real Time ◽  
Cost Effective ◽  
Treated Wastewater ◽  
Circulation Rate ◽  
Wastewater Management ◽  
Monitoring And Control ◽  
Operational Conditions ◽  
Day To Day Operations ◽  
And Control

The legislative norms for treated wastewater diffuse in terms of nitrogen (N) and phosphorus (P) concentrations are becoming increasingly stringent in the EU region. Compliance with the consent values compelled the water authorities to implement moving bed biofilters (MBFs) for tertiary stage effluent polishing. However, on-site and field surveys reveal that numerous MBF units suffer from non-optimal operational conditions, logistical challenges and irregular monitoring. This makes meeting the N-P criterion quite a challenging and expensive affair. It is therefore important to optimize their day-to-day operations, facilitate access to reliable and real-time status updates, and troubleshoot the failures. In this direction, an "internet-of-things", radio frequency ID (RFID) and cloud based monitoring and control tool, Sand-Cycle, was successfully developed, tested and implemented to monitor MBFs. The current study presents full- scale application of the developed remote control and mote technology at two wastewater treatment works. Sand-Cycle illustrated real-time dashboards indicating performance grading factors viz. in-situ average sand circulation rate, active bed volume and filter homogeneity. This presented clear instructions for detected malfunctions and enabled the operators to optimize the MBF output with limited effort. Further technical and technological advancements of such IoT based setups can actively assist in tackling long-term sustainability and wastewater management issues.

Dry chip feedrate control using online chip moisture

TAPPI Journal ◽  
2018 ◽  
Vol 17 (05) ◽  
pp. 295-305
Author(s):  
Wesley Gilbert ◽  
Ivan Trush ◽  
Bruce Allison ◽  
Randy Reimer ◽  
Howard Mason
Keyword(s):  
Production Rate ◽  
Control Strategy ◽  
Rate Control ◽  
Near Infrared ◽  
Dry Mass ◽  
The Other ◽  
Process Variability ◽  
Moisture Sensor ◽  
Feedback Control Strategy ◽  
And Control

Normal practice in continuous digester operation is to set the production rate through the chip meter speed. This speed is seldom, if ever, adjusted except to change production, and most of the other digester inputs are ratioed to it. The inherent assumption is that constant chip meter speed equates to constant dry mass flow of chips. This is seldom, if ever, true. As a result, the actual production rate, effective alkali (EA)-to-wood and liquor-to-wood ratios may vary substantially from assumed values. This increases process variability and decreases profits. In this report, a new continuous digester production rate control strategy is developed that addresses this shortcoming. A new noncontacting near infrared–based chip moisture sensor is combined with the existing weightometer signal to estimate the actual dry chip mass feedrate entering the digester. The estimated feedrate is then used to implement a novel feedback control strategy that adjusts the chip meter speed to maintain the dry chip feedrate at the target value. The report details the results of applying the new measurements and control strategy to a dual vessel continuous digester.

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