| Sonstiges: |
- Nachgewiesen in: USPTO Patent Grants
- Sprachen: English
- Patent Number: 11973,345
- Publication Date: April 30, 2024
- Appl. No: 18/205311
- Application Filed: June 02, 2023
- Assignees: Johnson Controls Tyco IP Holdings LLP (Milwaukee, WI, US)
- Claim: 1. A predictive controller for a building energy system the building energy system comprising HVAC equipment comprising airside equipment and waterside equipment, the predictive controller comprising one or more processing circuits configured to: obtain a constraint that defines an amount of energy consumed by both the waterside equipment and the airside equipment at each time step of a time period as a summation of multiple equipment-specific energy components comprising: a waterside energy component indicating an amount of energy consumed by the waterside equipment during the time step; and one or more airside energy components indicating one or more amounts of energy consumed by the airside equipment during the time step: perform a predictive control process subject to the constraint to determine values of the equipment-specific energy components at each time step of the time period, wherein the predictive control process comprises predicting the amount of energy consumed or a cost of the energy consumed by both the waterside equipment and the airside equipment during the time period based on the values of the equipment-specific energy components; and operate equipment of the building energy system using the values of the equipment-specific energy components.
- Claim: 2. The predictive controller of claim 1 , wherein the one or more processing circuits are further configured to determine temperature setpoints for one or more building zones based on the values of the equipment-specific energy components.
- Claim: 3. The predictive controller of claim 1 , wherein the predictive control process accounts for: an amount of grid energy or cost of the grid energy obtained from an energy grid; and an amount of energy savings or cost savings resulting from discharging stored electric energy during the time period.
- Claim: 4. The predictive controller of claim 1 , wherein the predictive control process accounts for a demand charge based on a maximum power consumption of the building energy system during a demand charge period that overlaps at least partially with the time period.
- Claim: 5. The predictive controller of claim 1 , wherein the one or more airside energy components comprise at least one of: an air handler unit (AHU) energy component indicating an amount of energy consumed by one or more AHUs of the airside equipment during the time step; or a rooftop unit (RTU) energy component indicating an amount of energy consumed by one or more RTUs of the airside equipment during the time step.
- Claim: 6. The predictive controller of claim 1 , wherein the one or more processing circuits are configured to: obtain a second constraint that defines a total electric load to be served by the building energy system at each time step as a summation of multiple source-specific energy components comprising: a first energy component indicating a first amount of energy to obtain from a first energy source during the time step; and a second energy component indicating a second amount of energy to obtain from a second energy source during the time step; and perform the predictive control process subject to the second constraint to determine values for each of the source-specific energy components at each time step of the time period.
- Claim: 7. The predictive controller of claim 6 , wherein the source-specific energy components comprise at least two of: a grid energy component indicating an amount of grid energy to obtain from an energy grid during the time step; a green energy component indicating an amount of green energy to obtain from green energy generation during the time step; and a battery energy component indicating an amount of electric energy to store in a battery or discharge from the battery during the time step.
- Claim: 8. The predictive controller of claim 6 , wherein the one or more processing circuits are configured to: obtain energy pricing data defining a cost per unit of the first amount of energy obtained from the first energy source at each time step of the time period; and use the energy pricing data as inputs to the predictive control process.
- Claim: 9. A method of operating a building energy system, the building energy system comprising HVAC equipment comprising airside equipment and waterside equipment, the method comprising: obtaining a constraint that defines an amount of energy consumed by both the waterside equipment and the airside equipment at each time step of a time period as a summation of multiple equipment-specific energy components comprising: a waterside energy component indicating an amount of energy consumed by the waterside equipment during the time step; and one or more airside energy components indicating one or more amounts of energy consumed by the airside equipment during the time step: performing a predictive control process subject to the constraint to determine values of the equipment-specific energy components for the time period, wherein the predictive control process comprises predicting the amount of energy consumed or a cost of the energy consumed by both the waterside equipment and the airside equipment during the time period based on the values of the equipment-specific energy components; and operating equipment of the building energy system using the values of the equipment-specific energy components.
- Claim: 10. The method of claim 9 , wherein the predictive control process accounts for: an amount of grid energy or cost of the grid energy obtained from an energy grid; and an amount of energy savings or cost savings resulting from using green energy.
- Claim: 11. The method of claim 9 , wherein the predictive control process accounts for a cost savings resulting from discharging stored energy from a battery during the time period.
- Claim: 12. The method of claim 9 , wherein operating the equipment of the building energy system using the values of the equipment-specific energy components comprises: determining temperature setpoints for one or more building zones based on the values of the equipment-specific energy components; and controlling the equipment using the temperature setpoints.
- Claim: 13. The method of claim 9 , further comprising: obtaining a second constraint that defines a total electric load to be served by the building energy system at each time step as a summation of multiple source-specific energy components comprising: a first energy component indicating a first amount of energy to obtain from a first energy source during the time step; and a second energy component indicating a second amount of energy to obtain from a second energy source during the time step; performing the predictive control process subject to the second constraint to determine values for each of the source-specific energy components at each time step of the time period.
- Claim: 14. The method of claim 13 , wherein the source-specific energy components comprise at least two of: a grid energy component indicating an amount of grid energy to obtain from an energy grid; a green energy component indicating an amount of green energy to obtain from green energy generation; and a battery energy component indicating an amount of electric energy to store in a battery or discharge from the battery.
- Claim: 15. The method of claim 14 , wherein the battery energy component: adds to the grid energy component or the green energy component when the amount of electric energy is discharged from the battery; and subtracts from the grid energy component or the green energy component when the amount of electric energy is stored in the battery.
- Claim: 16. A method of operating a building energy system, the building energy system comprising HVAC equipment comprising airside equipment and waterside equipment, the method comprising: performing a predictive control process subject to a constraint that defines an amount of energy consumed by both the waterside equipment and the airside equipment at each time step of the future time period as a summation of multiple equipment-specific energy components to determine values of the equipment-specific energy components for the future time period, wherein the predictive control process comprises predicting the amount of energy consumed or a cost of the energy consumed by both the waterside equipment and the airside equipment during the time period based on the values of the equipment-specific energy components, the equipment-specific energy components comprising: a waterside energy component indicating an amount of energy consumed by the waterside equipment during the time step; and one or more airside energy components indicating one or more amounts of energy consumed by the airside equipment during the time step; and operating equipment of the building energy system using the values of the equipment-specific energy components.
- Claim: 17. The method of claim 16 , further comprising: generating a visualization of a total electric load to be served by the building energy system, the visualization comprising multiple source-specific energy components comprising: a first energy component indicating a first amount of energy to obtain from a first energy source; and a second energy component indicating a second amount of energy to obtain from a second energy source; and causing the visualization to show values of the source-specific energy components for the future time period.
- Claim: 18. The method of claim 17 , wherein the source-specific energy components comprise at least two of: a grid energy component indicating an amount of grid energy to obtain from an energy grid; a green energy component indicating an amount of green energy to obtain from green energy generation; and a battery energy component indicating an amount of electric energy to store in a battery or discharge from the battery.
- Claim: 19. The method of claim 17 , wherein the visualization comprises a plot of the values of the source-specific energy components at a plurality of time steps in the future time period.
- Claim: 20. The method of claim 17 , wherein the visualization comprises at least one of: a charge level of energy storage equipment; or an indication of a heating or cooling load served by the building energy system over the future time period.
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- Assistant Examiner: Booker, Kelvin
- Primary Examiner: Ali, Mohammad
- Attorney, Agent or Firm: Foley & Lardner LLP
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