BUILDING ENERGY MANAGEMENT OPTIMIZATION

• US 20150057820A1
• Filed: 08/21/2013
• Published: 02/26/2015
• Est. Priority Date: 08/21/2013
• Status: Abandoned Application

• Current Assignee: Fujitsu Limited
• Original Assignee: Fujitsu Limited
• Inventors: CHEN, Wei-Peng, KEFAYATI, Mahdi
• Application Number:
  US13/972,756
• Publication Number:
  US 20150057820A1
• Time in Patent Office: Days
• US Class Current: 700/291
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

A method of managing energy consumption of a building may include determining a current state associated with energy consumption of a building and determining exogenous factors that relate to energy consumption of the building. The method may also include performing an energy consumption and cost optimization based on the current state, the exogenous factors, and an energy consumption rate structure to generate a desired energy consumption projection for the building over a period of time. The method may further include controlling one or more systems of the building to direct energy consumption of the building according to the desired energy consumption projection.

Claims

1. A method of managing energy consumption of a building, the method comprising:

determining a current state associated with energy consumption of a building;

determining exogenous factors that relate to energy consumption of the building;

performing an energy consumption and cost optimization based on the current state, the exogenous factors, and an energy consumption rate structure to generate a desired energy consumption projection for the building over a period of time; and

controlling one or more systems of the building to direct energy consumption of the building according to the desired energy consumption projection.

2. The method of claim 1, wherein the current state associated with energy consumption of the building includes one or more of:

current energy consumption of the one or more systems, past energy consumption of one or more of the one or more systems, and individual states of the one or more systems.

3. The method of claim 2, wherein the individual states include one or more of temperatures controlled by the one or more systems, battery charge level, and whether the one or more systems are on or off.

4. The method of claim 1, wherein the exogenous factors include one or more of:

weather conditions, occupancy of the building, use of electrical outlets of the building, and renewable energy generation at the building.

5. The method of claim 1, wherein the exogenous factors include one or more of current exogenous factors and predicted exogenous factors.

6. The method of claim 1, wherein performing the energy consumption and cost optimization is further based on a demand response event.

7. The method of claim 1, wherein performing the optimization includes generating and solving a model predictive control problem.

8. The method of claim 1, further comprising determining whether or not to participate in a demand response event based on the energy consumption and cost optimization.

9. The method of claim 1, further comprising:

categorizing the one or more systems according to one or more of the following categories;

a system with memory, a memoryless system, a heating and air-conditioning system, a generator system, and a battery system; and

performing the optimization based on the categorization.

10. The method of claim 1, further comprising:

prioritizing the one or more systems according to importance; and

performing the optimization based on the prioritization.

11. A system of managing energy consumption of a building, the system comprising:

a processor; and

a non-transitory computer-readable medium communicatively coupled to the processor and having instructions stored thereon that are executable by the processor to perform operations comprising;

determining a current state associated with energy consumption of a building;

determining exogenous factors that relate to energy consumption of the building;

performing an energy consumption and cost optimization based on the current state, the exogenous factors, and an energy consumption rate structure to generate a desired energy consumption projection for the building over a period of time; and

controlling the one or more systems of the building to direct energy consumption of the building according to the desired energy consumption projection.

12. The system of claim 11, wherein the current state associated with energy consumption of the building includes one or more of:

current energy consumption of the one or more systems, past energy consumption of one or more of the one or more systems, and individual states of the one or more systems.

13. The system of claim 12, wherein the individual states include one or more of temperatures controlled by the one or more systems, battery charge level, and whether the one or more systems are on or off.

14. The system of claim 11, wherein the exogenous factors include one or more of:

weather conditions, occupancy of the building, use of electrical outlets of the building, and renewable energy generation at the building.

15. The system of claim 11, wherein the exogenous factors include one or more of current exogenous factors and predicted exogenous factors.

16. The system of claim 11, wherein performing the energy consumption and cost optimization is further based on a demand response event.

17. The system of claim 11, wherein performing the optimization includes generating and solving a model predictive control problem.

18. The system of claim 11, wherein the operations further comprise determining whether or not to participate in a demand response event based on the energy consumption and cost optimization.

19. The system of claim 11, wherein the operations further comprise:

categorizing the one or more systems according to one or more of the following categories;

a system with memory, a memoryless system, a heating and air-conditioning system, a generator system, and a battery system; and

performing the optimization based on the categorization.

20. The system of claim 11, wherein the operations further comprise:

prioritizing the one or more systems according to importance; and

performing the optimization based on the prioritization.