A method of operating a sequencing batch reactor process includes introducing wastewater to be treated into the sequencing batch reactor and subjecting the wastewater to treatment in the sequencing batch reactor in an aerated anoxic mode in which a quantity of oxygen is supplied at a level insufficient to meet a biological oxygen demand of the wastewater, but sufficient to cause simultaneous nitrification and denitrification reactions to occur in the wastewater.

The invention relates to bio-electrochemical systems for the generation of methane from organic material and for reducing chemical oxygen demand and nitrogenous waste through denitrification. The invention further relates to an electrode for use in, and a system for, the adaptive control of bio-electrochemical systems as well as a fuel cell.

This disclosure relates to nitrogen removal with carbon addition, including for wastewater treatment. The denitrification reaction may be terminated at an intermediate nitrite product which is supplied to the anammox reaction. Nitrogen may be removed by use of an electron donor source including, but not limited to, acetate or glycerol at a specific zone. The electron donor may be used to convert nitrate to nitrite through appropriate dosing, anoxic SRT and/or maintenance of a nitrate residual in isolation or in combination. The subsequent supply of nitrite and ammonia for anammox reactions is also proposed. The slower growing anammox may be selectively retained on media or using other physical approaches. The overall intent of the present disclosure is to minimize the use of electron donor by maximizing denitratation and anammox reactions. Test results for selective retention of anammox in biofilm, granular or suspended growth system or nitrate residual control are provided.

A multi-time scale model predictive control method for wastewater treatment process is designed to control the dissolved oxygen concentration and nitrate nitrogen concentration in different time scales to ensure that the effluent quality meets the standard. In view of the difference of time scales in wastewater treatment process caused by different sampling periods of dissolved oxygen concentration and nitrate nitrogen concentration, prediction models with different time scales are firstly designed to unify the prediction outputs to the fast time scale. Then, the gradient descent algorithm is used to solve the optimal solution with fast time scale to control the wastewater treatment system. It not only conforms to the operation characteristics of wastewater treatment process, but also solves the problem of poor operation performance of multiobjective model predictive control caused by different time scales. The experimental results show that the multi-time scale model predictive control method can achieve accurate on-line control of dissolved oxygen concentration and nitrate nitrogen concentration with fast time scales.

A total nitrogen (TN) removal device for sewage and its operation method. The TN removal device includes a denitrification tank, a supplementary reaction zone filled with aerobic granular sludge and a sedimentation and separation zone. The supplementary reaction zone and the sedimentation and separation zone are arranged inside the denitrification tank, and communicated through a three-phase separator. The sedimentation and separation zone is located above the supplementary reaction zone. A top of the sedimentation and separation zone is greater than its bottom. A membrane aerated biofilm reactor (MABR) assembly is arranged in a space formed by outer walls of the sedimentation and separation zone and supplementary reaction zone and an inner chamber of the denitrification tank. A side wall of the denitrification tank is provided with a chemical oxygen demand (COD) detector and a nitrate nitrogen detector.

A method of operating a sequencing batch reactor process includes introducing wastewater to be treated into the sequencing batch reactor and subjecting the wastewater to treatment in the sequencing batch reactor in an aerated anoxic mode in in which a quantity of oxygen is supplied at a level insufficient to meet a biological oxygen demand of the wastewater, but sufficient to cause simultaneous nitrification and denitrification reactions to occur in the wastewater.

The present disclosure relates to a bacterium-alga coupled sewage treatment device based on energy recycling and a use method thereof. The device comprises a pretreatment device, a photobioreactor, an alga separation apparatus, a continuous flow bioreactor and a secondary sedimentation tank which are sequentially connected in order, the pretreatment device being connected to a municipal sewage inlet pipe, the photobioreactor being connected to a carbon dioxide gas charging device through a gas filling pipeline, one part of a sludge thickening tank being connected to the secondary sedimentation tank, the other part thereof being connected to remaining sludge of the pretreatment device, carbon dioxide generated from the sludge which flows through the thickening tank and is thermally-hydrolyzed and anaerobically-acidified being connected to the photobioreactor through a gas inlet pipeline, and the alga separation apparatus being further connected to a filter press. The present disclosure has the advantages of a rational structural design, reliable and stable operation, a low operation and maintenance cost and high automaticity and intelligence, and being suitable for the use and transformation requirements of a wide range of sewage treatment plants, etc.

A wastewater treatment system includes two or more wastewater treatment reactors selected from an anoxic wastewater treatment reactor, a flex wastewater treatment reactor, and a hydroponic wastewater treatment reactor in fluid communication with and connecting a wastewater system inlet and a treated wastewater system outlet, each of the anoxic reactor, the flex reactor, or the hydroponic reactor including a reactor inlet for receiving wastewater to be treated and a reactor outlet directing treated wastewater from the anoxic reactor, the flex reactor, or the hydroponic reactor. The system also includes: (i) either but not both of the anoxic reactor or the flex reactor, (ii) a hydroponic reactor if the anoxic reactor is included, and (iii) at least two flex reactors if the hydroponic reactor is absent, and wherein at least one of the flex reactor or the hydroponic reactor includes an intermittent or pulsed aeration device and/or a submerged membrane or submerged root zone that achieves a natural gradient of oxidative states that is similar to oxidative states achieved using the intermittent or pulsed aeration device.

A method for collaborative optimization control method for organic nitrogen and inorganic nitrogen in a denitrification process is provided. The method includes: establishing ASM-mDON-DIN models for simultaneous simulation of microbial dissolved organic nitrogen (mDON) and inorganic nitrogen (DIN) in denitrification processes; and selecting a corresponding ASM-mDON-DIN model according to a set carbon/nitrogen ratio to collaboratively optimize the concentration values of mDON and DIN in the effluent in the denitrification process, to obtain best process operation parameter values.

A cooperative fuzzy-neural control method is designed in this present invention. Due to the difficulty for cooperatively controlling the concentrations of the dissolved oxygen and nitrate nitrogen in wastewater treatment process, a cooperative fuzzy-neural control method is investigated. In this proposed method, firstly, a interval type-2 fuzzy neural network is employed to construct the cooperative fuzzy-neural controller. Secondly, a parameter cooperative strategy is proposed to cooperatively optimize the global and local parameters of the cooperative fuzzy-neural controller to meet the control requirements. This proposed cooperative fuzzy-neural control method can cooperatively control the concentrations of the dissolved oxygen and nitrate nitrogen in wastewater treatment process. The results illustrate that the proposed cooperative fuzzy-neural control method can achieve the high control accuracy and guarantee the normal operations of wastewater treatment process under the different operation conditions.