Implementation of storage tanks on the COST 624 benchmark

2002 ◽  
Vol 45 (4-5) ◽  
pp. 159-166 ◽  
Author(s):  
M.N. Pons ◽  
J.P. Corriou
Keyword(s):  
Wastewater Treatment ◽  
Control Strategies ◽  
Treatment Plant ◽  
Weather Condition ◽  
Weather Conditions ◽  
Storage Tanks ◽  
Effluent Quality ◽  
The Cost ◽  
Operation Cost

To test the improvement that can be expected in terms of effluent quality of an wastewater treatment plant by activated sludge, an equalisation tank and a storm tank, designed to damp the influent variations under different weather conditions, have been implemented in front of a benchmark plant used to evaluate control strategies. The equalisation tank improves significantly the effluent quality in any weather condition but at a high operation cost due to extra pumping, while the storm tank without by-pass improves the effluent quality in rainy periods with a small increase in cost operation over the no tank case.

Decentralized Adaptive PI with Adaptive Interaction Algorithm of Wastewater Treatment Plant

2014 ◽  
Vol 67 (5) ◽  
Author(s):  
M. F. Rahmat ◽  
S. I. Samsudin ◽  
N. A. Wahab ◽  
Mashitah Che Razali ◽  
Muhammad Sani Gaya
Keyword(s):  
Wastewater Treatment ◽  
Activated Sludge ◽  
Wastewater Treatment Plant ◽  
Error Function ◽  
Treatment Plant ◽  
Weather Conditions ◽  
Pi Controller ◽  
Effluent Quality ◽  
Dynamic Performances ◽  
Adaptive Interaction

Wastewater treatment plant (WWTP) is highly known with the variation and uncertainty of the parameters, making them a challenge to be tuned and controlled. In this paper, an adaptive decentralized PI controller is developed for nonlinear activated sludge WWTP. The work is highlighted in auto-tuning the PI control parameters in satisfying straighten effluent quality and hence optimizing the nitrogen removal. The PI controller parameters are obtained by using simple updating algorithm developed based on adaptive interaction theory. The error function is minimized directly by approximate Frechet tuning algorithm without explicit estimation of the model. The effectiveness of the proposed controller is then validated by comparing the performance of activated sludge process to the benchmark PI under three different weather conditions with realistic variations in influent flow rate and composition. The algorithm is effectively applied in activated sludge system with improved dynamic performances in effluent quality index and energy consumed of Benchmark Simulation Model No.1.

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 Estudio de adsorción, retención y difusión de pesticidas piretroides como la permetrina en suelo agrícola y su capacidad para actuar como filtro

2019 ◽  
pp. 27-37
Author(s):  
Karina Miranda-Hernandez ◽  
Joselyn Loa-Arjona ◽  
Rodolfo Guadalupe Alcantara-Rosales ◽  
Ignacio Lagunas-Bernabe
Keyword(s):  
Qualitative Research ◽  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Research Methodology ◽  
Research Method ◽  
Treatment Plant ◽  
Effluent Quality ◽  
Aerobic Reactor ◽  
Wastewater Use

As a study of the proposal of a tertiary system for the improvement of the effluent quality of the wastewater treatment plant of the municipality of Jilotepec, the implementation of strategies has been sought, in order to achieve a qualitative research method, focusing on design and mathematical calculations, of wastewater use. To this end, the objectives are to carry out a research methodology proposed to analyze the arrangement of the aerators within the position of the Imhoff-type aerobic reactor, thereby achieving an acceptable sedimentation process, and subsequently to change the position of the aerators within of the aerobic reactor achieving a more complete cleaning to allocate the effluent for irrigation under the parameters of NOM-001-SEMARNAT-1996, looking for a better quality of effluent, with destination of urban use and as a calculation strategy it was proposed to implement a process of phytoremediation to avoid possible damage to the effluent

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.

Nested control loop configuration for a three stage biological wastewater treatment process

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Pothuraju Maheswari ◽  
Abdul Gaffar Sheik ◽  
E. S. S. Tejaswini ◽  
Seshagiri Rao Ambati
Keyword(s):  
Wastewater Treatment ◽  
Control Strategies ◽  
Treatment Plant ◽  
Ammonia Concentration ◽  
Wastewater Treatment Process ◽  
Loop Control ◽  
Effluent Quality ◽  
Nitrogen Concentrations ◽  
Control Loop Configuration ◽  
Anoxic Zones

AbstractIn every urban infrastructure, Wastewater Treatment Plant (WWTP) requires special attention because of its adverse effects on the environment and also for resource recovery. Therefore, there arises a need to treat the wastewater in order to meet the effluent norms prior to discharge. Different control strategies and various scenarios of plant layout can be tested and evaluated through modelling and simulation studies on the benchmark layouts. In this paper, a feedforward nested loop control structure based on ammonia concentration is implemented on Benchmark Simulation Model (BSM1-P) developed based on Activated Sludge Model No. 3 bioP (ASM3bioP) for controlling the dissolved oxygen in aerobic zones and nitrate level in anoxic zones and nutrient removal by adding two anaerobic zones. By using this control strategy, pumping energy, percentage violations of ammonia and nitrogen concentrations in the effluent, and effluent quality are reduced effectively.

Sign in / Sign up

Export Citation Format

Share Document