A visualization device includes a processor for carrying out a first displaying process of displaying, on a display device, a first screen indicating power consumption of a whole of an equipment group in each of periods included in a period group, a second displaying process of displaying, on the display device, a second screen indicating a cycle time of each of pieces of equipment included in the equipment group in a particular period, and a third displaying process of displaying, on the display device, a third screen indicating a cycle time of each of processes carried out with use of a particular piece of equipment in the particular period.

A device and method are disclosed for optimizing self-power consumption. The device may sense one or more operating conditions of the device. The device may further select one or more operating parameters associated with at least one of the one or more operating conditions. The device may also estimate a power consumption associated with executing an algorithm to generate at least one updated value for at least one of the one or more operating parameters as well as estimate a power savings associated with operating using the updated value. The device may compare the estimated power consumption to the estimated power savings and determine whether to execute the algorithm based on the comparing.

A system and method are provided for determining operational parameters for improving energy efficiency of a process. The method includes obtaining energy usage data and production and operating data generated by utilizing at least one utility in the process and using the energy data and production and operating data to generate a first principles model. The method also includes obtaining sensor data from at least one sensor coupled to equipment used during operation of the process; generating an efficiency model using at least one data driven model, the sensor data, and the first principles model; and using the efficiency model to generate an energy optimization to achieve a greenhouse gas reduction in operation of the process. The method also includes generating an output comprising at least one operation parameter value to enable adjustment of the equipment to adjust operation of the process towards the greenhouse gas reduction; and providing the output to an operational controller.

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.

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 method for modelling load in a power grid is provided. The method includes obtaining measurement data from a measurement device in the power grid, identifying one or more voltage adjustment events in the power grid from the measurement data, and generating a load model based on one or more voltage factors computed using the one or more voltage adjustment events.

The present disclosure describes systems and methods for quantifying operating strategy energy usage. One embodiment describes an industrial control system that includes a tangible, non-transitory, computer readable medium storing a plurality of instructions executable by a processor of the industrial control system. The instructions include instructions to determine a plurality of operating strategies associated with an industrial automation component that is communicatively coupled to the industrial control system, in which each of the plurality of operating strategies includes a set of operational parameters associated with the industrial automation component, determine an expected energy usage cost associated with the industrial automation component for each of the plurality of operating strategies, determine an expected value added associated with the industrial automation component for each of the plurality of operating strategies, and select one of the plurality of operating strategies for operating the industrial automation component based at least in part on the expected energy usage cost and the expected value added associated with each of the plurality of operating strategies.

To determine system settings for an industrial system, digital twin data of a digital twin of the industrial system is retrieved. System simulations of the industrial system are performed based on the digital twin data to explore candidate system settings for the industrial system prior to application of one of the candidate system settings to the industrial system. At least one optimization objective or at least one constraint used in the system simulations is changed while the system simulations are being performed on an ongoing basis. The results of the system simulations are used to identify one of the candidate system settings for application to the industrial system.

A load-energy efficiency evaluation and monitoring method includes an actual part processing number and a theoretical part processing number of the numerical control machine tool within an evaluation period are obtained to calculate a loading performance of the numerical control machine tool. A waste time value and a standby power value of the numerical control machine tool are obtained to calculate a waste energy value of the numerical control machine tool. A single-part actual processing energy consumption is obtained and used, together with a single-part ideal processing energy consumption, to calculate the load-energy efficiency of the numerical control machine tool. A relationship model between the load-energy efficiency and the loading performance of the numerical control machine tool is built based on the obtained model of the load-energy efficiency of the numerical control machine tool and the obtained model of the loading performance of the numerical control machine tool.

To further optimize an operation of a power plant. The system has a storage cell which charges utilizing surplus electric power generated by a power plant 10 and a database 23 which accumulates at least information on power consumption for each power plant apparatus 11 (hereinafter, described as an in-plant apparatus). An integrated controller 225 compares power consumption of the power plant apparatus 11 in operation in the case of executing each function among a plurality of functions and an electric discharge capacity of the storage cell, and selects an executable function within a range of the electric discharge capacity of the storage cell. Then, it controls to execute the selected function utilizing electric power supplied from the storage cell.