The present disclosure is directed to filtering technologies that combine elements of continuous and batch NF/RO based on the constraints of the end-user facility to achieve a target balance between, for instance, recovery and power consumption, and to reduce long term operating cost of a plant. A method for extending batch operation into a second induction period with antiscalant injection is also disclosed herein, with the second induction period allowing for yet higher water recovery.

An apparatus and method for determining an amount of chemical input, and more particularly to an apparatus and method for determining the amount of a chemical to be added, which is necessary to achieve target water quality, wherein a required chemical concentration can be accurately calculated based on the temperature of the water and the target turbidity of the water includes an information-receiving unit configured to receive at least one of environmental information, chemical information, and water-quality information of the water present in a specific area and a chemical input determination unit configured to derive a multiple regression equation based on the received environmental information, chemical information, and water-quality information and to determine the future input of a chemical that is added to satisfy a target turbidity of the water present in the specific area based on the multiple regression equation.

A transportable system for creating an ORP in water includes an ozone supply unit and a manifold housed in separate enclosures on a wheeled frame. The ozone supply unit feeds into the manifold which contains a plurality of fluid paths and has one or more ozone intake ports. The ozone intake ports are fluidically coupled to one or more ozone output ports of the ozone supply unit. The manifold includes flow switches configured to transmit control signals to one or more controllers of the ozone supply unit in response to sensing a flow of water through the fluid paths in order to cause the ozone supply unit to generate ozone. The manifold also includes fluid mixers that are fluidically coupled to the ozone intake ports and configured to introduce the ozone generated by the ozone supply unit into the water flowing through the fluid paths.

A future state of a separation membrane is inferred to perform a stable membrane filtration operation. A learning model generation device (1) includes: an input data acquisition section (21) configured to acquire input data derived from operation data that is measured during a membrane filtration operation, the operation data including a membrane filtration pressure and a diffused air volume; and a learning section (13) configured to generate a learning model (31) for inferring the state of the separation membrane, by means of machine learning using the acquired input data as an input.

One embodiment provides a system, including: at least two water analyzers, wherein at least one of the at least two water analyzers is positioned upstream of a purification apparatus and wherein at least another of the at least two water analyzers is positioned downstream of the purification apparatus; at least one processor; and a memory device that stores instructions executable by the processor to: receive water analysis data from the at least two water analyzers, wherein the water analysis data comprises information related to membrane integrity; identify an algorithm for calculating membrane integrity based upon received data corresponding to system attributes; and calculate, using the identified algorithm, the membrane integrity based upon the received water analysis data. Other aspects are described and claimed.

An apparatus and method for softening water are provided. The water softening system comprises a water softener apparatus comprising a tank designed to contain a resin bed and a water softener head coupled to the tank. The water softener head comprises at least one inlet, at least one outlet, a first channel in fluid communication with the first outlet, and a second channel in fluid communication with the first inlet. The water softening system includes at least one inlet water line for hard water and one outlet water line for softened water. A controller is provided and is configured to detect a first operating state of the water softening system, monitor the performance of the water softening system, and send instructions to at least one of the first valve and the second valve to change from a first operational state to a second operational state.

A chemical dosing optimization apparatus includes a chemical dosing optimization part and a chemical dosing output control part, wherein the chemical dosing optimization part receives real-time data at least from a water treatment plant treating feed water by dosing a chemical and providing a treated water, analyzes the real-time data through a water treatment model in response to receiving the real-time data, derives a prediction value for predicting a state of the treated water of the water treatment plant, and derives a control value based on the prediction value through a controller, such that the control value is to set a minimum of a chemical dosage to be dosed in the feed water while the state of the treated water of the water treatment plant is maintained in a normal range, and wherein the chemical dosing output control part provides the control value to a water treatment control device.

An apparatus for controlling chemical dosing optimization in a water treatment plant treating feed water includes: a control value derivation part configured to receive real-time data, analyze the real-time data through a water treatment model and a controller in response to receiving the real-time data, and calculate a control value, such that the control value is to set a minimum of a chemical dosage while maintaining a state of treated water of the water treatment plant in a normal range, the water treatment model simulating the water treatment plant and the controller being an optimization algorithm; and a chemical dosing output control part configured to provide the control value to a water treatment control device.

An ocean alkalinity enhancement (OAE) system that reduces atmospheric CO.sub.2 and mitigates ocean acidification by electrochemically processing feedstock solution (e.g., seawater or brine) to generate an alkalinity product that is then supplied to the ocean. The OAE system includes a base-generating device and a control circuit disposed within a modular system housing deployed near a salt feedstock. The base-generating device (e.g., a bipolar electrodialysis (BPED) system) generates a base substance that is then used to generate the ocean alkalinity product. The control circuit controls the base-generating device such that the alkalinity product is supplied to the ocean only when (1) sufficient low/zero-carbon electricity is available, (2) it is safe to operate the base-generating device, and (3) supplying the alkalinity product will not endanger sea life. Modified BPED systems include features that facilitate autonomous system operations including enhanced maintenance cycle operations and a reduced reliance on external fresh water sources.

A water delivery control system operates to selectively deliver water from a water source to water use devices. The system includes at least one controller that wirelessly communicates messages with a portable user device. The system includes a water control valve and a motor that is operative to selectively move at least one valve element of the valve. A water meter is operative to measure water flow that corresponds to flow through the valve. The controller is operable to cause the valve to enable or prevent flow through the valve responsive at least in part to water flow data. The controller is operative to determine a water use condition responsive to a water usage pattern, and to cause at least one message to be sent to the portable user device responsive to the determined water use condition.