Abstract: In one aspect, an air contactor comprising an air inlet, an air outlet, a fan assembly to produce an airflow, a heat exchanger operable to transfer heat between a process fluid and the airflow, and an air pollutant capture system configured to selectively remove an air pollutant from the airflow. A controller has a fluid cooling and air pollutant capture mode wherein the controller controls the fan assembly to facilitate the heat exchanger transferring heat between the process fluid and the airflow and the air pollutant capture system removing the air pollutant from the airflow. The controller has a fluid cooling mode wherein the controller controls the fan assembly to facilitate the heat exchanger transferring heat between the process fluid and the airflow and the air pollutant capture system removing less of the air pollutant from the air.

Abstract: In one aspect, a heat exchanger system is provided that includes a cooling system and a sensor configured to detect a variable of the cooling system. The heat exchanger system includes processor circuitry configured to provide the variable and a plurality of potential operating parameters of the cooling system to a machine learning model representative of the cooling system to estimate at least one of energy consumption, water usage, and chemical usage for the potential operating parameters. The processor circuitry is further configured to determine, based at least in part on the estimated at least one of energy consumption, water usage, and chemical consumption, for the potential operating parameters, an optimal operating parameter of the cooling system to satisfy a target optimization criterion.

Abstract: In one aspect, a heat transfer apparatus for an industrial process that requires process fluid at a process fluid set temperature. The heat transfer apparatus includes a process fluid heat exchange circuit having a heat exchanger, an airflow generator, and a thermal energy storage. The controller is configured to operate the process fluid heat exchange circuit in a second mode wherein the thermal energy storage transfers heat between the process fluid and the thermal energy storage and the heat exchanger transfers heat between the process fluid and the air based at least in part upon a parameter of the air and a determination of the process fluid heat exchange circuit in a first mode, wherein the process fluid bypasses the thermal energy storage, being unable to provide the process fluid at the process fluid set temperature.

Abstract: In one aspect, a heat exchanger system is provided that includes a cooling system and a sensor configured to detect a variable of the cooling system. The heat exchanger system includes processor circuitry configured to provide the variable and a plurality of potential operating parameters of the cooling system to a machine learning model representative of the cooling system to estimate at least one of energy consumption, water usage, and chemical usage for the potential operating parameters. The processor circuitry is further configured to determine, based at least in part on the estimated at least one of energy consumption, water usage, and chemical consumption, for the potential operating parameters, an optimal operating parameter of the cooling system to satisfy a target optimization criterion.

Abstract: In one aspect, a mass exchanger having an air inlet, air outlet, airflow generator, and a tubular membrane assembly. The tubular membrane assembly includes an inlet header, an outlet header, and a plurality of tubular membranes. The tubular membranes have side walls configured to facilitate mass transfer between air contacting the tubular membranes and working fluid in the tubular membranes. The inlet header includes an inlet header body having inlet header body openings with inlet end portions of the tubular membranes extending in the inlet header body openings and inlet header potting connecting the inlet end portions of the tubular membranes to the header body. The outlet header includes an outlet header body having outlet header body openings with outlet end portions of the tubular membranes extending in the outlet header body openings and outlet header potting connecting the outlet end portions of the tubular membranes to the header body.

Abstract: In accordance with one aspect of the present disclosure, a tubular membrane heat exchanger module is provided that includes an inlet header and outlet header. The inlet header is configured to connect to an adjacent upstream tubular membrane heat exchanger module and from an upstream wetted compartment therewith. The outlet header is configured to connect to an adjacent downstream tubular membrane heat exchanger module and form a downstream wetted compartment therewith. The tubular membrane heat exchanger module further includes tubular membranes connecting the inlet header and the outlet header. The tubular membranes facilitate flow of process fluid from the upstream wetted compartment to the downstream wetted compartment. Further, the tubular membranes permit mass transfer between the process fluid in the tubular membranes and a fluid contacting outer surfaces of the tubular membranes.

Abstract: In one aspect, a heat exchanger system is provided that includes a cooling system and a sensor configured to detect a variable of the cooling system. The heat exchanger system includes processor circuitry configured to provide the variable and a plurality of potential operating parameters of the cooling system to a machine learning model representative of the cooling system to estimate at least one of energy consumption, water usage, and chemical usage for the potential operating parameters. The processor circuitry is further configured to determine, based at least in part on the estimated at least one of energy consumption, water usage, and chemical consumption, for the potential operating parameters, an optimal operating parameter of the cooling system to satisfy a target optimization criterion.