The present invention provides a method of treating wastewater in a wastewater system. The wastewater system comprises a treatment plant comprising a treatment space and a sewer system comprising a sewer space. The treatment plant further comprises a treatment inlet for supplying wastewater to the treatment system from the sewer system. The method comprises the step of: providing a treatment parameter being significant for purification of wastewater in the treatment plant, determining an actual spare plant capacity indicating an amount of wastewater which can be supplied to the treatment space, and determining an actual spare wastewater storage volume indicating an amount of wastewater which can be retained in the sewer space. The amount of wastewater supplied through the treatment inlet to the treatment plant is varied based on the treatment parameter, the actual spare plant capacity, and the actual spare wastewater storage volume.

A method of operating an electrochemical cell including introducing an aqueous solution into the electrochemical cell, applying a current across an anode and a cathode to produce a product, monitoring the voltage, dissolved hydrogen, or a condition of the aqueous solution, and reversing polarity of the anode and the cathode responsive to one of the measured parameters is disclosed. An electrochemical system including an electrochemical cell including an anode and a cathode, a source of an aqueous solution having an outlet fluidly connectable to the electrochemical cell, a sensor for measuring a parameter, and a controller configured to cause the anode and the cathode to reverse polarity responsive to the parameter measurement is disclosed. Methods of suppressing accumulation of hydrogen gas within the electrochemical cell are also disclosed. Methods of facilitating operation of an electrochemical cell are also disclosed.

A data-knowledge driven multi-objective optimal control method for municipal wastewater treatment process belongs to the field of wastewater treatment. To balance the energy consumption and effluent quality, a data driven multi-objective optimization model, including energy consumption model and effluent quality model are established to obtain the nonlinear relationship along energy consumption, effluent quality and manipulated variables. Meanwhile, a multi-objective particle swarm optimization algorithm, based on evolutionary knowledge, is proposed to optimize the set-points of nitrate nitrogen and dissolved oxygen. Moreover, the proportional integral differential (PID) controller is designed to track the set-points. Then the effluent quality can be improved and the energy consumption can be reduced.

This disclosure includes systems and methods for optimizing aeration in wastewater treatment. The techniques described herein include receiving data for a wastewater treatment plant, the data being descriptive of water quality over a period of time. The techniques further include developing a predictive model for future water quality based on the received data. The techniques also include determining, based on the predictive model, a plurality of DO setpoints and airflow rates for the wastewater treatment plant. The techniques further include controlling an aeration system for the wastewater treatment plant using the plurality of DO setpoints and the airflow rates.

An advanced nitrogen removal method using partial nitrification-denitrification coupled two-stage autotrophic denitrification. Sewage is introduced into a first pool for partial nitrification-denitrification treatment, and then introduced into a first regulating reservoir. Dissolved oxygen content in the first pool is kept at 0.4-0.6 mg/L. Water is discharged when a molar ratio of nitrite nitrogen to ammonia nitrogen in the first regulating reservoir is 1.0-1.3:1. Effluent in the regulating reservoir is introduced into a second pool for anaerobic ammonia oxidation treatment, and then introduced into a second regulating reservoir. In the second pool, pH is 7.0-7.4, a temperature is 22-28° C. Effluent in the second regulating reservoir and sulfides are introduced into a third pool for denitrification treatment. Water is discharged. In the third pool, pH is 7.5-8.0, a temperature is 28-32° C., a mass ratio of sulfur to nitrogen is 1.9-2.0:1.

The present technology relates to control systems for use with fluid treatment systems. In one embodiment, for example, a fluid treatment system includes a vessel configured to receive a fluid having one or more constituents and to separate one or more constituents from the fluid. The system can also include a tube extending along at least a portion of the vessel and a sensor. The tube can be in fluid communication with a pressurized air source, and the sensor can be configured to obtain a measurement of an operating parameter. The system can also include a controller in communication with the sensor and pressurized air source. The controller can execute one or more algorithms to determine a filter parameter based on the measurement of the operating parameter, compare the filter parameter to a threshold, and, based on the comparison, activate or deactivate the pressurized air source.

Disclosed is a method for the treatment and resource utilization of acidic organic wastewater, comprising: (1) performing activated sludge treatment on acidic organic wastewater; and (2) performing microalgae treatment on the acidic organic wastewater treated in step (1). By means of the combination of activated sludge treatment and microalgae treatment, the present invention can significantly reduce the COD of the acidic organic wastewater. In some embodiments, the use of acclimated activated sludge or activated sludge having a specific microbial flora structure can not only improve the treatment efficiency while shortening the treatment time, but also omit a pH value adjustment step without causing sludge accumulation.

The present invention relates to a ballast water treatment system and a ballast water treatment method. A ballast water treatment system according to an embodiment of the present invention comprises: a first ballast water supply pipe for receiving a supply of ballast water from a first sea chest positioned in a non-explosion-proof area of a ship; an electrolytic bath for electrolyzing the ballast water supplied from the first ballast water supply pipe; a second ballast water supply pipe for receiving a supply of ballast water from a second sea chest, which is positioned in an explosion-proof area of the ship, and supplying the ballast water to a ballast tank of the ship; a filter provided to the second ballast water supply pipe so as to filter the ballast water passing through the second ballast water supply pipe; and a third ballast water supply pipe connected to the second ballast water supply pipe so as to supply the ballast water, which has been electrolyzed from the electrolytic bath, to the ballast water which has passed through the filter.

Methods to remediate a contaminated material are provided. In one embodiment, a biocatalyst that digests hydrocarbon contaminants is activated with a nutrient and the activated biocatalyst is combined with the contaminated material and water to form a mixture. The mixture is incubated for a period of time, and the level of contaminant in the mixture is determined to ascertain whether to incubate further, add additional biocatalyst mix, or provide the remediated material for further processing. In one embodiment, the remediated material is provided for reuse or recycling with a second material, such as a construction aggregate. The method is particularly suited for remediation of drill cuttings, mine tailings, hydrocarbon-contaminated soil, and the like.

In a cooperative optimal control system, firstly, two-level models are established to capture the dynamic features of different time-scale performance indices. Secondly, a data-driven assisted model based cooperative optimization algorithm is developed to optimize the two-level models, so that the optimal set-points of dissolved oxygen and nitrate nitrogen can be acquired. Thirdly, a predictive control strategy is designed to trace the obtained optimal set-points of dissolved oxygen and nitrate nitrogen. This proposed cooperative optimal control system can effectively deal with the difficulties of formulating the dynamic features and acquiring the optimal set-points.