Energy Savings at Phoenix 23rd Avenue Wastewater Treatment Plant Using Feed-Forward Process Control

2009 ◽  
Vol 2009 (13) ◽  
pp. 3722-3729 ◽  
Author(s):  
Thomas Walz ◽  
J.R. Coughenour ◽  
Kevin Williams ◽  
John Jacobs ◽  
Larry Shone ◽  
...  
Author(s):  
A. Bernardelli ◽  
S. Marsili-Libelli ◽  
A. Manzini ◽  
S. Stancari ◽  
G. Tardini ◽  
...  

Abstract Two separate goals should be jointly pursued in wastewater treatment: nutrient removal and energy conservation. An efficient controller performance should cope with process uncertainties, seasonal variations and process nonlinearities. This paper describes the design and testing of a model predictive controller (MPC) based on neuro-fuzzy techniques that is capable of estimating the main process variables and providing the right amount of aeration to achieve an efficient and economical operation. This algorithm has been field tested on a large-scale municipal wastewater treatment plant of about 500,000 PE, with encouraging results in terms of better effluent quality and energy savings.


2002 ◽  
Vol 45 (4-5) ◽  
pp. 453-460 ◽  
Author(s):  
P. Ingildsen ◽  
U. Jeppsson ◽  
G. Olsson

As the largest single energy-consuming component in most biological wastewater treatment systems, control of aeration is of great interest seen from an energy savings point of view. This paper suggests a simple way of using on-line ammonium measurements to control aeration in a pre-denitrification plant by controlling the dissolved oxygen setpoint. The controller works primarily by feed-forward based on an ammonium sensor located at the head of the aerobic process part. Using online in-situ sensor measurements directly from the process have the important advantage over effluent measurements that there is no or very short time delay for information. The controller has been implemented in a full-scale wastewater treatment plant for a period of 35 days. During the experiment two identical activated sludge lines were used. The controller was implemented in one line, while the other line worked as a reference for comparison. The preliminary results indicate that the described control strategy leads to energy savings for the aeration in the region of 5–15%, while maintaining approximately the same effluent quality as in the reference line. Even higher energy savings can probably be achieved by optimising the controller. An automatic procedure for updating the controller parameters based on dynamic effluent ammonium measurement has been tested.


Author(s):  
Inés Tejado ◽  
Emiliano Pérez

Laboratory experiments offer one way to introduce more realism in education and play a key role for the acquisition of practical skills, especially in engineering. This paper addresses the development of an equipment to teach fundamentals of industrial process control engineering mainly for undergraduate courses at the University of Extremadura. The laboratory consists of the DELTALAB–COSIMI wastewater treatment plant SP244, which is controlled by a CompactRIO-9014 high-performance real-time embedded controller, a kind of programmable logic controller of National Instruments. Learning objectives and a summary of students activities carried out in the laboratory lessons are given to illustrate the possibilities of use of this equipment for teaching of industrial process control.


2017 ◽  
Vol 32 (2) ◽  
pp. 164-172 ◽  
Author(s):  
Abhilash Nair ◽  
Vasile-Mircea Cristea ◽  
Paul Şerban Agachi ◽  
Marius Brehar

2018 ◽  
Vol 78 (4) ◽  
pp. 957-967 ◽  
Author(s):  
R. Cornelissen ◽  
T. Van Dyck ◽  
J. Dries ◽  
P. Ockier ◽  
I. Smets ◽  
...  

Abstract A survey regarding online instrumentation and control was conducted among 90 companies managing their own biological wastewater treatment plant in Flanders, Belgium. In this study, all types of online instrumentation have been found suitable for automatic process control. However, its integration in general process control as well as in nitrogen removal and chemical dosing control appeared to be rather limited. Only dissolved oxygen and pH sensors were widely applied, being present in 96% and 69% of the plants, respectively. Widespread process integration is mainly obstructed by the fact that companies, especially small and medium-sized, still do not regard wastewater treatment as a full-fledged part of the production process. Operators often lack technical expertise in this domain and tend to be skeptical towards automated control mechanisms. In addition, the price of online instrumentation is still perceived as too high, in particular at smaller companies. Lastly, the design of the existing wastewater treatment plant does not always allow for real-time control. Certain measures such as operator training, monitoring of energy and chemical consumption and reduction of instrumentation costs are essential for widespread application of online process control in future years. Additionally, water reuse can create an important incentive.


2011 ◽  
Vol 64 (5) ◽  
pp. 1089-1095 ◽  
Author(s):  
A. K. Sharma ◽  
T. Guildal ◽  
H. R. Thomsen ◽  
B. N. Jacobsen

The aim of this project was to investigate the potential of reducing number of mixers in the biological treatment process and thereby achieve energy and economical savings and contribute to cleaner environment. The project was carried out at Avedoere wastewater treatment plant and a full scale investigation was conducted to study the effect of reduced mixing on flow velocity, suspended solid sedimentation, concentration gradients of oxygen and SS with depth and treatment efficiency. The only negative effect observed was on flow velocity; however the velocity was above the critical velocity. The plant has been operating with 50% of its designed number of mixers since September 2007 and long term results also confirm that reduced mixing did not have any negative effect on treatment efficiency. The estimated yearly electricity saving is 0.75 GWh/year.


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