A method of controlling an industrial gas production facility comprising: receiving time-dependent power data receiving time-dependent operational characteristic data; defining one or more power constraints for the operational parameters of the power network; defining one or more process constraints for the operational parameters of each industrial gas plant; generating, based on the power data, the operational characteristic data, the one or more power constraints and the one or more process constraints, control set point values for the one or more industrial gas plants to achieve a pre-determined production parameter for the industrial gas production facility; and sending the control set point values to a control system to control the one or more industrial gas plants by adjusting one or more control set points of the industrial gas plants to achieve the pre-determined production parameter for the industrial gas production facility.

A system for flare combustion control includes a sound speed measurement device for measuring sound speed in a flare vent gas, and a flare combustion controller including a memory and a processor. The processor is configured to receive the measured sound speed and determine, based on the measured sound speed, a molecular weight of the flare vent gas. The processor is further configured to determine, based on the determined molecular weight, a net heating value of the flare vent gas, and adjust the net heating value of the flare vent gas by regulating an amount of a supplemental fuel gas in the flare vent gas.

There is provided a method of controlling an industrial gas plant complex comprising a plurality of industrial gas plants powered by one or more renewable power sources, the method being executed by at least one hardware processor, the method comprising receiving time-dependent predicted power data for a pre-determined future time period from the one or more renewable power sources; receiving time-dependent predicted operational characteristic data for each industrial gas plant; utilizing the predicted power data and predicted characteristic data in an optimization model to generate a set of state variables for the plurality of industrial gas plants; utilizing the generated state variables to generate a set of control set points for the plurality of industrial gas plants; and sending the control set points to a control system to control the industrial gas plant complex by adjusting one or more control set points of the industrial gas plants.

A system and method for remote monitoring and control of landfill and recycling operations provide an intelligent centralized platform for remote, real-time industrial data gathering and process control for management of landfill and recycling operations such as leachate, gas, water and other liquids. The system and method can directly upload machine data (such as liquid volumes, flows, level, equipment runtime, sorter data, status, etc) into a centralized platform. This data can be used for analytics and automation of processes and equipment control.

A method and mobile device are provided for managing safety aspects associated with assets of a compressed gas system. The mobile device captures a unique identifier coupled to and associated with an asset of a compressed gas system, establishes a wireless connection with a remote database storing historical data associated with the asset, and displays prompts related to the asset where the prompts include asset-inspection-criteria prompts. User-supplied responses to the prompts are received at the mobile device. The mobile device then transmits the responses via the wireless connection to the remote database for inclusion with the historical data associated with the asset.

A steam generator for a cooking appliance is provided. The steam generator includes a warm tank having a water inlet. The steam generator also includes a heating element configured to heat water in the warm tank to produce steam to be directed into an oven cavity of the cooking appliance. The steam generator further includes a first cold tank having an input connected to a supply of water and an output, and a second cold tank having an input connected to the output of the first cold tank and an output configured to provide water to the water inlet of the warm tank.

An integrated and comprehensive method and system is disclosed for measuring and real-time monitoring of gas flare and using that information to improve and/or optimize oil and gas production and/or flare operations. A first embodiment of the invention comprises a camera or any other visual recognition and recording system coupled with an image and video analytics/machine learning module to measure the flare and identify gas components or flow properties. A second embodiment of the invention is directed towards an intelligent optimization method and system that uses the flare and gas information and suggest a set of optimal production values to optimize flaring and reduce environmental impact of it.

The present disclosure provides a method and an Internet of Things system for regulating a gas in-home pressure based on smart gas. The method includes: determining a gas in-home pressure regulation scheme, and the gas in-home pressure regulation scheme including a pressure regulation parameter of a gas device; generating, based on the gas in-home pressure regulation scheme, a pressure regulation instruction; regulating, based on the pressure regulation instruction, a gas in-home pressure of at least one floor; and transmitting the gas in-home pressure regulation scheme to a smart gas user terminal.

This specification relates to reducing CO2 levels of a gas operation network using a predictive model. The systems and methods described in this specification process an input data set that includes (i) gas flowrate data and (ii) CO2 concentration data. The systems and methods generate the predictive model by processing the input dataset. The systems and methods predict, by the predictive model, a CO2 production target for the gas operation network based on a gas flowrate predicted for each of the plurality of wells by the predictive model. The systems and methods generate control signals to control a respective valve at each well based on the CO2 production target and the predicted gas flowrate for each well. The systems and methods regulate CO2 levels of the gas operation network based on the CO2 production target by controlling the respective valves at each well.

A system and method for remote monitoring and control of landfill and recycling operations provide an intelligent centralized platform for remote, real-time industrial data gathering and process control for management of landfill and recycling operations such as leachate, gas, water and other liquids. The system and method can directly upload machine data (such as liquid volumes, flows, level, equipment runtime, sorter data, status, etc) into a centralized platform. This data can be used for analytics and automation of processes and equipment control.