Systems and methods for optimal energy use and carbon emissions using hierarchical model predictive control (mpc)

A system for optimizing carbon emissions and/or energy usage of a site comprising:

• a site-wide model predictive control (MPC) controller comprising:
• at least one memory configured to store a planning model for an industrial facility;
• at least one network interface configured to communicate with one or more unit MPC controllers;
• and
• at least one processing device configured to:
• obtain a planning model for optimizing carbon emissions and/or energy usage of the site;
• send at least one optimization request to one or more unit MPC controllers;
• receive at least one proxy limit value from the one or more unit MPC controllers in response to the at least one optimization request, wherein the at least one proxy limit value identifies an extent to which one or more controlled variables controlled by the one or more unit MPC controllers are adjustable without violating one or more controlled variable constraints;
• and
• perform site-wide optimization using the planning model and the at least one proxy limit value, wherein the one or more controlled variables includes at least one of temperature, humidity, and ventilation flow rate.

A non-transitory computer-readable medium containing instructions for optimizing carbon emissions and/or energy usage of a site, the non-transitory computer-readable medium storing instructions that, when executed by at least one processor, configure the at least one processor for:

• obtaining a planning model for optimizing carbon emissions and/or energy usage of the site at a site-wide model predictive control (MPC) controller;
• sending at least one optimization request from the site-wide MPC controller to one or more unit MPC controllers;
• receiving at least one proxy limit value from the one or more unit MPC controllers at the site-wide MPC controller in response to the at least one optimization request, wherein the at least one proxy limit value identifies an extent to which one or more controlled variables controlled by the one or more unit MPC controllers are adjustable without violating one or more controlled variable constraints;
• and
• performing site-wide optimization at the site-wide MPC controller using the planning model and the at least one proxy limit value, wherein the one or more controlled variables includes at least one of temperature, humidity, and ventilation flow rate.