System and method for KWH harvesting and carbon footprint management

1 . A method comprising:

receiving sensor data from sensors of a plurality of load asset equipment connected to a building management system of a building;

wherein each load asset equipment of the plurality of load asset equipment is identified for kilowatt hour (kWh) harvesting in a load study due to:

an energy consumption amount of the load asset equipment connected to the building management system; and

the load asset equipment is a variable frequency drive (VFD)-controlled equipment, a resistive load asset equipment, or a load asset equipment designated based on a type of operation that the load asset equipment performs in the building;

registering, by the computing device in communication with the building management system, each of the load asset equipment with the computing device;

collecting energy consumption data from the load asset equipment and using the collected energy consumption data, by the computing device, to predict for a pre-determined time energy consumption for the building based on an analysis of energy usage data collected by monitoring energy sources connected to the building management system;

determining, by the computing device, CO2 tonnage emissions for the building by converting the energy usage data of all the energy sources to kBTU and then into metric tons of CO2e using respective conversion factors for each energy source;

calculating, by the computing device, a carbon surplus or a carbon penalty by comparing the CO2 tonnage emissions against a CO2e emissions limit;

determining, by the computing device, a carbon footprint for the building by calculating a greenhouse gas (GHG) emissions using respective GHG coefficients for each energy source based on the energy usage data collected by monitoring the energy sources;

reducing, by the computing device, the carbon footprint for the building by performing kWh harvesting to reduce the energy consumption amount of the plurality of load asset equipment identified in the load study;

wherein a reduction of the carbon footprint reduces the carbon penalty;

prioritizing and organizing the plurality of load asset equipment into groups, wherein the organizing is based on a comparative kWh harvesting yield of each of the groups; and

performing kWh-harvesting to generate a cost-saving amount corresponding to the reduction of the carbon footprint for the building, via the computing device, by sending a kWh harvesting command to the building management system to implement load curtailment of the plurality of load asset equipment, to:

rotate activation of each group of the plurality of load asset equipment to implement load shedding to reduce the energy consumption amount of the plurality of load asset equipment identified in the load study; and

control, by activation of an overlap timer, overlapping of the kWh harvesting for multiple groups having different predetermined kWh harvesting operating times.

2 . A system comprising:

a memory operable to store sensor data;

a processor of a computing device operably coupled to the memory, configured to:

receive, at the computing device, the sensor data from sensors of a plurality of load asset equipment connected to a building management system of a building;

wherein each load asset equipment of the plurality of load asset equipment is identified for kilowatt hour (kWh) harvesting in a load study due to: an energy consumption amount of the load asset equipment connected to the building management system; and

the load asset equipment is a variable frequency drive (VFD)-controlled equipment, a resistive load asset equipment, or a load asset equipment designated based on a type of operation that the load asset equipment performs in the building;

register, by the computing device in communication with the building management system, each of the load asset equipment with the computing device;

collect energy consumption data from the load asset equipment and use the collected energy consumption data, by the computing device, to predict for a pre-determined time energy consumption for the building based on an analysis of energy usage data collected by monitoring energy sources connected to the building management system;

determine, by the computing device, CO2 tonnage emissions for the building by converting the energy usage of all data of the energy sources to kBTU and then into metric tons of CO2e using respective conversion factors for each energy source;

calculate, by the computing device, a carbon surplus or a carbon penalty by comparing the CO2 tonnage emissions against a CO2e emissions limit; determine, by the computing device, a carbon footprint for the building by calculating a greenhouse gas (GHG) emissions using respective GHG coefficients for each energy source based on the energy usage data collected by monitoring the energy sources;

reduce, by the computing device, the carbon footprint for the building by performing kWh harvesting to reduce the energy consumption amount of the plurality of load asset equipment identified in the load study;

wherein a reduction of the carbon footprint reduces the carbon penalty;

prioritize and organize, by the computing device, the plurality of load asset equipment into groups, wherein organizing the plurality of load asset equipment into groups is based on a comparative kWh harvesting yield of each of the groups; and

perform kWh-harvesting to generate a cost-saving amount corresponding to the reduction of the carbon footprint for the building, via the computing device, by sending a kWh harvesting command to the building management system to implement load curtailment of the plurality of load asset equipment, to:

rotate, by the computing device, activation of each group of the plurality of load asset equipment to implement load shedding to reduce the energy consumption amount of the plurality of load asset equipment identified in the load study; and

control, by activation of an overlap timer, overlapping of the kWh harvesting for multiple groups having different predetermined kWh harvesting operating times.

3 . A non-transitory computer readable medium configured to store instructions for implementing to cause a processor to perform operations comprising:

receiving sensor data from sensors of a plurality of load asset equipment connected to a building management system of a building;

wherein each load asset equipment of the plurality of load asset equipment is identified for kilowatt hour (kWh) harvesting in a load study due to:

an energy consumption amount of the load asset equipment connected to the building management system; and

the load asset equipment is a variable frequency drive (VFD)-controlled equipment, a resistive load asset equipment, or a load asset equipment designated based on a type of operation that the load asset equipment performs in the building;

registering, by the processor in communication with the building management system, each of the load asset equipment with the processor;

collecting energy consumption data from the load asset equipment and using the collected energy consumption data to predict for a pre-determined time energy consumption for the building based on an analysis of energy usage data collected by monitoring energy sources connected to the building management system; determining CO2 tonnage emissions for the building by converting the energy usage data of all the energy sources to kBTU and then into metric tons of CO2e using respective conversion factors for each energy source;

calculating a carbon surplus or a carbon penalty by comparing the CO2 tonnage emissions against a CO2e emissions limit;

determining a carbon footprint for the building by calculating a greenhouse gas (GHG) emissions using respective GHG coefficients for each energy source based on the energy usage data collected by monitoring the energy sources;

reducing the carbon footprint for the building by performing kWh harvesting to reduce the energy consumption amount of the plurality of load asset equipment identified in the load study;

wherein a reduction of the carbon footprint reduces the carbon penalty;

prioritizing and organizing the plurality of load asset equipment into groups, wherein the organizing is based on a comparative kWh harvesting yield of each of the groups; and

performing kWh-harvesting to generate a cost-saving amount corresponding to the reduction of the carbon footprint for the building by sending a kWh harvesting command to the building management system to implement load curtailment of the plurality of load asset equipment, to:

rotate activation of each group of the plurality of load asset equipment to implement load shedding to reduce the energy consumption amount of the plurality of load asset equipment identified in the load study; and

control, by activation of an overlap timer, overlapping of the kWh harvesting for multiple groups having different predetermined kWh harvesting operating times.