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

被引:6
|
作者
Maheswari, Pothuraju [1 ]
Sheik, Abdul Gaffar [1 ]
Tejaswini, E. S. S. [1 ]
Ambati, Seshagiri Rao [1 ]
机构
[1] Natl Inst Technol, Dept Chem Engn, Warangal 506004, Telangana, India
来源
CHEMICAL PRODUCT AND PROCESS MODELING | 2021年 / 16卷 / 02期
关键词
benchmark simulation model no. 1 P (BSM1-P); biological wastewater treatment; dissolved oxygen (DO); effluent quality index (EQI); nested control loop; operational cost index (OCI); TREATMENT-PLANT; SYSTEMATIC-APPROACH; MODEL; FEEDFORWARD; AERATION; REMOVAL; PHOSPHORUS; OPERATION; DESIGN;
D O I
10.1515/cppm-2020-0035
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In 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.
引用
收藏
页码:87 / 100
页数:14
相关论文
共 50 条
  • [1] Robust Control of the Biological Wastewater Treatment Process
    Chirosca, A.
    Luca, L.
    Ifrim, G.
    Caraman, S.
    2013 17TH INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC), 2013, : 113 - 118
  • [2] The identification and robust control of a biological wastewater treatment process
    Caraman, Sergiu
    Barbu, Marian
    2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION, QUALITY AND TESTING, ROBOTICS (AQTR 2008), THETA 16TH EDITION, VOL II, PROCEEDINGS, 2008, : 37 - 42
  • [3] Three-phase biological process for treatment of monosodium glutamate wastewater and beverage wastewater
    Institute of Water Technology, Shenzhen Water group Co., Ltd., Shenzhen 518031, China
    Huagong Xiandai, 2006, 10 (59-61):
  • [4] Development of an Automatic Process Control System for Biological Wastewater Treatment
    Bebikhov, Yu, V
    Podkamenniy, Yu A.
    Semenov, A. S.
    ADVANCES IN AUTOMATION III, 2022, 857 : 3 - 13
  • [5] Optimization of Biological Wastewater Treatment Process by Hierarchical Adaptive Control
    Gaska, Krzysztof
    Generowicz, Agnieszka
    Lobur, Mykhailo
    Jaworski, Nazariy
    Ciula, Jozef
    Mzyk, Tadeusz
    2019 IEEE XVTH INTERNATIONAL CONFERENCE ON THE PERSPECTIVE TECHNOLOGIES AND METHODS IN MEMS DESIGN (MEMSTECH), 2019, : 119 - 122
  • [6] DYNAMIC MODELING AND CONTROL SIMULATION OF A BIOLOGICAL WASTEWATER TREATMENT PROCESS
    VONJESZENSZKY, T
    DUNN, IJ
    WATER RESEARCH, 1976, 10 (05) : 461 - 467
  • [7] Estimation and optimal control design of a biological wastewater treatment process
    Nejjari, F
    Roux, G
    Dahhou, B
    Benhammou, A
    MATHEMATICS AND COMPUTERS IN SIMULATION, 1999, 48 (03) : 269 - 280
  • [8] Increased energy efficiency by improved control of the biological wastewater treatment process
    Krogerus, M
    Hynninen, P
    Westergren, L
    Vatka, S
    PAPERI JA PUU-PAPER AND TIMBER, 2002, 84 (04): : 253 - 255
  • [9] Evaluation of Control Strategies in Activated Sludge Process for Biological Wastewater Treatment
    Vivekanandan, B.
    Rao, A. Seshagiri
    CHEMICAL PRODUCT AND PROCESS MODELING, 2016, 11 (04): : 279 - 289
  • [10] Design of control strategies for nutrient removal in a biological wastewater treatment process
    Abdul Gaffar Shiek
    VS Raghu Kumar Machavolu
    Murali Mohan Seepana
    Seshagiri Rao Ambati
    Environmental Science and Pollution Research, 2021, 28 : 12092 - 12106