scholarly journals A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant

2021 ◽  
Author(s):  
S. Saravana Kumar ◽  
K. Latha
Keyword(s):  
Fuzzy Logic ◽  
Wastewater Treatment ◽  
Fuzzy Logic Controller ◽  
Wastewater Treatment Plants ◽  
Control Strategies ◽  
Treatment Plant ◽  
Vital Role ◽  
Effluent Quality ◽  
Control Scheme ◽  
Control Schemes

Abstract The application of control strategies in wastewater treatment plants has increased to improve its performance of treating the influent. Fuzzy Logic controller plays a vital role in this work and the simulation work is being carried out in Benchmark simulation model no.1 (BSM1) framework. The attempted work proposes two control schemes with the objectives of improving the effluent quality and minimizing the number of measurements taken from the plant. The design of fuzzy control schemes is based on 5 inputs and 6 outputs in order to accomplish the objectives. Experimental results show improvement in the effluent quality and increase in the efficacy of the control system. The proposed design is implemented using MATLAB with the adaptation of 2014a.

Influence of Hydraulic Loading Rate on Horizontal Zeolite Wetland Effluent Quality

2012 ◽  
Vol 573-574 ◽  
pp. 659-662
Author(s):  
Hao Wang
Keyword(s):  
Wastewater Treatment ◽  
Loading Rate ◽  
Wastewater Treatment Plants ◽  
Treatment Plant ◽  
Secondary Effluent ◽  
Nitrogen And Phosphorus ◽  
Nitrogen And Phosphorus Removal ◽  
Hydraulic Loading Rate ◽  
Effluent Quality ◽  
Hydraulic Loading

In Tangshan area, the secondary effluent of wastewater treatment plants was used for this study. Horizontal zeolite wetland was carried out treating it. Hydraulic loading rate was the parameters for analyzing the nitrogen and phosphorus removal efficiency of pollutants from the secondary effluent of wastewater treatment plant. Zeolite constructed wetlands showed different behaviors for nitrogen and phosphorus removals.Under the optimum hydraulic loading rate, the primary pollutions were removed to a large extent.

scholarly journals Design and Performance Analysis of Grid Connected Solar Power System by Fuzzy Control Algorithm

2019 ◽  
Vol 8 (4) ◽  
pp. 10078-10082
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Solar Power ◽  
Vital Role ◽  
Voltage Source ◽  
Current Harmonics ◽  
Load Demand ◽  
Control Scheme ◽  
And Performance ◽  
Fuzzy Control Algorithm

In this paper we propose the fuzzy logic controller based solar fed grid via various loads. Normally present situation solar power play a vital role to meet the load demand. Solar power is the free from pollution and cost free fuel so in this paper I propose the solar based grid integrated framework, it consist of dc-dc boost converter, 3-phase voltage source inverter and fed to grid via various loads. MPPT based fuzzy logic controller is used to obtain the maximum power from the solar. But our proposed solar generation is intermittent in nature so before supplying this power to the load as well as grid we can control and enhance the power quality by utilizing FLC. This FLC control scheme effectively controls the harmonics developed in the grids. Current harmonics and Voltage flickers developed in the PV integrated grid due to non linear loads and critical loads present in the network. The proposed system is verified in MATLAB/SIMLINK.

Modelling of the Secondary Clarifier Combined with the Activated Sludge Model No. 1

1992 ◽  
Vol 25 (6) ◽  
pp. 285-300 ◽  
Author(s):  
René Dupont ◽  
Mogens Henze
Keyword(s):  
Wastewater Treatment ◽  
Simple Model ◽  
Activated Sludge ◽  
Wastewater Treatment Plants ◽  
Treatment Plant ◽  
Activated Sludge Model ◽  
Effluent Quality ◽  
Secondary Clarifier ◽  
Hydraulic Load ◽  
Flux Model

Modelling of activated sludge wastewater treatment plants is today generally based on the Activated Sludge Model No. 1 combined with a very simple model for the secondary settler. This paper describes the development of a model for the secondary clarifier based on the general flux theory for zone settling, which can be used in combination with the Activated Sludge Model to form a dynamic computer model/program for a wastewater treatment plant. In addition to the flux model, the developed model includes a simple model for predicting the contents of paniculate components in the effluent This latter model is a purely empirical model, which connects the effluent quality with the hydraulic load, suspended solids load and the nitrate load. The paper describes the model and gives some basic examples on computer simulations and verification of the model.

scholarly journals Evaluation of control strategies using an oxidation ditch benchmark

2002 ◽  
Vol 45 (4-5) ◽  
pp. 151-158 ◽  
Author(s):  
A. Abusam ◽  
K.J. Keesman ◽  
H. Spanjers ◽  
G. van Straten ◽  
K. Meinema
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plants ◽  
Control Strategies ◽  
Treatment Plant ◽  
Electrical Energy ◽  
Performance Criteria ◽  
Oxidation Ditch ◽  
Flow Splitting ◽  
And Performance ◽  
Specific Oxidation

This paper presents validation and implementation results of a benchmark developed for a specific full-scale oxidation ditch wastewater treatment plant. A benchmark is a standard simulation procedure that can be used as a tool in evaluating various control strategies proposed for wastewater treatment plants. It is based on model and performance criteria development. Testing of this benchmark, by comparing benchmark predictions to real measurements of the electrical energy consumptions and amounts of disposed sludge for a specific oxidation ditch WWTP, has shown that it can (reasonably) be used for evaluating the performance of this WWTP. Subsequently, the validated benchmark was then used in evaluating some basic and advanced control strategies. Some of the interesting results obtained are the following: (i) influent flow splitting ratio, between the first and the fourth aerated compartments of the ditch, has no significant effect on the TN concentrations in the effluent, and (ii) for evaluation of long-term control strategies, future benchmarks need to be able to assess settlers' performance.

Impact of the volume of rain water on the operating constraints for a treatment plant

1999 ◽  
Vol 39 (2) ◽  
pp. 145-150
Author(s):  
T. Dormoy ◽  
B. Tisserand ◽  
L. Herremans
Keyword(s):  
Wastewater Treatment ◽  
Activated Sludge ◽  
Wastewater Treatment Plant ◽  
Wastewater Treatment Plants ◽  
Treatment Plant ◽  
Simulation Software ◽  
Quality Requirements ◽  
Effluent Quality ◽  
Operating Constraints ◽  
Pollution Loads

The new regulations require an increased amount of treatment of stormwater and a reduction of pollution loads discharged into the natural surroundings to be considered. Drainage systems therefore and particularly wastewater treatment plants should be sized correctly to cope with these peaks. Using a simulation software of wastewater treatment plant with activated sludge, such as SIMBAD, enables us to check that planned structures are appropriate in relation to the effluent quality requirements laid down, and to fix the most appropriate operating procedures. Operating constraints on a plant for treating stormwater are not negligible. It is advisable to allow for increased sludge production, O2 requirements and also sludge quality (fermentability).

scholarly journals Design of Feedback Control Strategies in a Plant-Wide Wastewater Treatment Plant for Simultaneous Evaluation of Economics, Energy Usage, and Removal of Nutrients

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6386
Author(s):  
Abdul Gaffar Sheik ◽  
Eagalapati Tejaswini ◽  
Murali Mohan Seepana ◽  
Seshagiri Rao Ambati ◽  
Montse Meneses ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Removal Rate ◽  
Control Strategies ◽  
Treatment Plant ◽  
Feedback Signal ◽  
Operational Cost ◽  
Effluent Quality ◽  
Control Framework ◽  
Pi Controllers

Simultaneous removal of nitrogen and phosphorous is a recommended practice while treating wastewater. In the present study, control strategies based on proportional-integral (PI), model predictive control (MPC), and fuzzy logic are developed and implemented on a plant-wide wastewater treatment plant. Four combinations of control frameworks are developed in order to reduce the operational cost and improve the effluent quality. As a working platform, a Benchmark simulation model (BSM2-P) is used. A default control framework with PI controllers is used to control nitrate and dissolved oxygen (DO) by manipulating the internal recycle and oxygen mass transfer coefficient (KLa). Hierarchical control topology is proposed in which a lower-level control framework with PI controllers is implemented to DO in the sixth reactor by regulating the KLa of the fifth, sixth, and seventh reactors, and fuzzy and MPC are used at the supervisory level. This supervisory level considers the ammonia in the last aerobic reactor as a feedback signal to alter the DO set-points. PI-fuzzy showed improved effluent quality by 21.1%, total phosphorus removal rate by 33.3% with an increase of operational cost, and a slight increase in the production rates of greenhouse gases. In all the control design frameworks, a trade-off is observed between operational cost and effluent quality.

scholarly journals Energy saving for air supply in a real WWTP: application of a fuzzy logic controller

2020 ◽  
Vol 81 (8) ◽  
pp. 1552-1557 ◽  
Author(s):  
G. Bertanza ◽  
L. Menoni ◽  
P. Baroni
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Wastewater Treatment Plants ◽  
Control Strategies ◽  
Energy Requirement ◽  
Ammonia Concentration ◽  
Specific Power ◽  
Aeration Tank ◽  
Set Point ◽  
Air Supply

Abstract An unconventional cascade control system, for the regulation of air supply in activated sludge wastewater treatment plants (WWTPs), was tested. The dissolved oxygen (DO) set point in the aeration tank was dynamically calculated based on effluent ammonia concentration, following a fuzzy logic based approach. First, simulations were conducted, according to the BSM2 protocol, for a general comparison with more conventional control strategies. It turned out that the effluent quality could be improved by 7–8%, based on the EQI parameter. Moreover, the aeration energy requirement could be reduced up to 13%. Subsequently, the system was installed in a full-scale WWTP. While stably complying with the ammonia effluent standard (10 mg/L), excess air supply was prevented, and a reduction of the specific power consumption (kWh/kgCODremoved) of 40–50% was recorded with respect to the previously installed PID controller (fixed DO set point).

Fuzzy control of aeration in an activated sludge wastewater treatment plant: design, simulation and evaluation

1999 ◽  
Vol 39 (4) ◽  
pp. 71-78 ◽  
Author(s):  
T. J. J. Kalker ◽  
C. P. van Goor ◽  
P. J. Roeleveld ◽  
M. F. Ruland ◽  
R. Babuška
Keyword(s):  
Fuzzy Logic ◽  
Wastewater Treatment ◽  
Activated Sludge ◽  
Fuzzy Controller ◽  
Control Strategies ◽  
Treatment Plant ◽  
Rule Base ◽  
Plant Design ◽  
High Level ◽  
Simulation And Evaluation

Fuzzy logic can in several ways be applied to improve the control of the activated sludge system. In the present study, two types of fuzzy logic controllers were developed for intermittent aeration control: a low-level fuzzy controller for DO control and a high-level controller for nitrogen removal. A Simulink-SIMBAR model was used to subsequently design and optimise the controller and furthermore to compare various control strategies. The results indicate that the direct fuzzy controller allows for some improvements in comparison with a PI controller. Nevertheless, it is suggested that high-level controllers have more potentials for improving and integrating the control of wastewater treatment. The developed high-level fuzzy controller performs better than two conventional controllers in terms of energy consumption and, at the same time, results in a slightly better effluent quality. Design and tuning were quite straightforward. Since the rule base applied is comprehensive it is expected that in practice the controller will meet with the demands of the operator.

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