Static and dynamic set point optimization techniques for optimal operation of wastewater treatment plants

Author(s):  
P. Vega ◽  
S. Revollar ◽  
J.M. Martin ◽  
M. Francisco
2010 ◽  
Vol 2010 ◽  
pp. 1-10 ◽  
Author(s):  
Yong Qiu ◽  
Han-chang Shi ◽  
Miao He

Surface water environment in China was degraded rapidly in the last two decades, resulting in increasingly tighten criteria issued for municipal wastewater treatment plants (WWTPs). This paper reviewed the recent advances of process design and operational optimization for nutrients removal. Three major processes, as anaerobic-anoxic-oxic (AAO) process, oxidation ditch (OD), and sequencing batch reactor (SBR) occupied 65% of WWTPs amounts and 54% of treatment volumes of China in 2006. However conservative process designs and operational faults often impaired the process performances and energy efficiency. Therefore, typical processes were modified, combined, and innovated to meet the requirements of the diverse influent characteristics and lower energy consumptions. Furthermore, operational optimization techniques by modeling, simulation, and real-time control were also developed and applied in China to improve the process operation. Although great efforts had been contributed to improve the WWTPs performances in China, attentions should be continuously paid to the introduction, instruction, and implementation of advanced techniques. At last, the technical demands and appropriated techniques of WWTPs in China were briefly discussed.


2002 ◽  
Vol 45 (10) ◽  
pp. 195-200 ◽  
Author(s):  
A. Puñal ◽  
J. Rodríguez ◽  
E.F. Carrasco ◽  
E. Roca ◽  
J.M. Lema

A diagnosis system for anaerobic wastewater treatment processes is presented. The system is able to recognise the state and trend of the operation and suggest the appropriate control action. The on-line variables measured were gas flow rate and composition (methane and carbon monoxide), feed and recycling flow rates, temperature and pH, while the manipulable inputs are feed, recycling and buffer-addition flow rates. The diagnosis system comprises a structured rule base, incorporating expert knowledge using fuzzy logic features. The structure of the system is based on the classification of information related to the process in three categories: i) the state of the process, ii) its trend and iii) the recommended set-point values for the inputs manipulated: feeding, buffer and recycling pumps. The system was applied to diagnose the operation of a 1.1 m3 hybrid UASB-UAF treating wastewater from a fibreboard production factory under different conditions (overload and underload), corresponding to some of the typical causes of destabilisation in anaerobic wastewater treatment plants. These situations require control action in order to maintain the stability and the treatment capacity of the reactor. The application of the system developed for the purpose of managing the situation proved to be reliable for supplying the actual state and trend of the process, as well as the adequate set point values to recover stable operation and/or to avoid further destabilisation.


2014 ◽  
Vol 554 ◽  
pp. 246-250
Author(s):  
Muhammad Gaya Sani ◽  
Norhaliza Abdul Wahab ◽  
Yahya M. Sam ◽  
Sharatul Izah Samsudin ◽  
Irma Wani Jamaludin

Nonlinearity of the substrate dynamics is the main inconveniences in its control. Low substrate concentration significantly affects the growth of the microorganisms responsible for treating the wastewater and too high substrate concentration level may lead to drop in the growth rate. Therefore, the control of substrate concentration is highly essential for effective and optimal operation of wastewater treatment plants. However, the control using conventional techniques is quite cumbersome and often impossible. This paper presents adaptive neuro fuzzy inference system (ANFIS) direct inverse control of substrate in an activated sludge system. The performances of the proposed controller are illustrated by tracking the substrate set-points. The simulation results demonstrate that the proposed controller can effectively and accurately control the substrate concentration level. The proposed inverse controller may serve as a valuable control strategy for the wastewater treatment plant.


2020 ◽  
Vol 15 (2) ◽  
pp. 142-151
Author(s):  
Peter Lukac ◽  
Lubos Jurik

Abstract:Phosphorus is a major substance that is needed especially for agricultural production or for the industry. At the same time it is an important component of wastewater. At present, the waste management priority is recycling and this requirement is also transferred to wastewater treatment plants. Substances in wastewater can be recovered and utilized. In Europe (in Germany and Austria already legally binding), access to phosphorus-containing sewage treatment is changing. This paper dealt with the issue of phosphorus on the sewage treatment plant in Nitra. There are several industrial areas in Nitra where record major producers in phosphorus production in sewage. The new wastewater treatment plant is built as a mechanicalbiological wastewater treatment plant with simultaneous nitrification and denitrification, sludge regeneration, an anaerobic zone for biological phosphorus removal at the beginning of the process and chemical phosphorus precipitation. The sludge management is anaerobic sludge stabilization with heating and mechanical dewatering of stabilized sludge and gas management. The aim of the work was to document the phosphorus balance in all parts of the wastewater treatment plant - from the inflow of raw water to the outflow of purified water and the production of excess sludge. Balancing quantities in the wastewater treatment plant treatment processes provide information where efficient phosphorus recovery could be possible. The mean daily value of P tot is approximately 122.3 kg/day of these two sources. The mean daily value of P tot is approximately 122.3 kg/day of these two sources. There are also two outflows - drainage of cleaned water to the recipient - the river Nitra - 9.9 kg Ptot/day and Ptot content in sewage sludge - about 120.3 kg Ptot/day - total 130.2 kg Ptot/day.


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