Predictive hydrogen grid optimization

A method for optimizing a hydrogen fuel production facility, the method comprising:

• generating sensor data from at least one hardware sensor of a hydrogen fuel production facility;
• receiving, in a computerized device, the generated sensor data and user input data, wherein the generated sensor data and the user input data are stored on a non-transitory memory of the computerized device;
• processing, with at least one processor of the computerized device, at least a portion of the generated sensor data and the user input data to model at least one microgrid hydrogen-generating plant by:
• using a three-stage convex optimization model operated on the computerized device to determine at least one implementation parameter of the microgrid hydrogen-generating plant;
• modeling at least one hardware component of the microgrid hydrogen-generating plant, wherein the at least one hardware component include at least an electrolyzer;
• and
• using a model predictive control (MPC) controller to determine an optimal power flow schedule for a selected control scenario and schedule module, thereby optimizing the generated sensor data and the user input data over a time series window.