Building energy cost optimization system with asset sizing

Patent metadata

Field	Value
Publication number	US-10359748-B2
Application number	US-201715426962-A
Country	US
Kind code	B2
Filing date	Feb 7, 2017
Priority date	Feb 7, 2017
Publication date	Jul 23, 2019
Grant date	Jul 23, 2019

Abstract

An energy cost optimization system for a building includes HVAC equipment and a controller. The controller is configured to generate a cost function defining a cost of operating the HVAC equipment as a function of one or more energy load setpoints. The controller is configured to modify the cost function to account for both an initial purchase cost of a new asset to be added to the HVAC equipment and an effect of the new asset on the cost of operating the HVAC equipment. Both the initial purchase cost of the new asset and the effect of the new asset on the cost of operating the HVAC equipment are functions of one or more asset size variables. The controller is configured to perform an optimization using the modified cost function to determine optimal values for decision variables including the energy load setpoints and the asset size variables.

First claim

What is claimed is:

1. An energy cost optimization system for a building, the system comprising:
HVAC equipment configured to satisfy a building energy load; and
a controller configured to:
generate a cost function defining a cost of operating the HVAC equipment over an optimization period as a function of one or more energy load setpoints for the HVAC equipment, wherein the energy load setpoints are decision variables in the cost function;
modify the cost function to account for both an initial purchase cost of a new asset to be added to the HVAC equipment and an effect of the new asset on the cost of operating the HVAC equipment, wherein both the initial purchase cost of the new asset and the effect of the new asset on the cost of operating the HVAC equipment are functions of one or more asset size variables included as new decision variables in the modified cost function;
perform an optimization using the modified cost function to determine optimal values for the decision variables including the energy load setpoints and the asset size variables; and
operate the HVAC equipment using the optimal values of the energy load setpoints.

2. The energy cost optimization system of claim 1 , wherein the asset size variables comprise at least one of:
a capacity size variable indicating a maximum capacity of the new asset; and
a loading size variable indicating a maximum loading of the new asset.

3. The energy cost optimization system of claim 1 , wherein the controller is configured to perform the optimization by optimizing a financial metric comprising at least one of net present value, internal rate of return, or simple payback period.

4. The energy cost optimization system of claim 1 , wherein the controller is configured to perform the optimization using mixed integer linear programming.

5. The energy cost optimization system of claim 1 , wherein the controller is configured to:
carry over the optimal values of the asset size variables; and
use the optimal values of the asset size variables as a lower limit of the asset size variables to be determined over a next execution of the optimization.

6. The energy cost optimization system of claim 1 , wherein the controller is configured to perform the optimization by:
receiving a target value for at least one of an interest rate or an asset life-cycle;
calculating a target value for a simple payback period based on the target value for at least one of the interest rate or the asset life-cycle;
scaling one or more asset size cost terms in the modified cost function to a duration of the optimization period;
performing the optimization over the optimization period to determine current values of the asset size variables; and
repeating the optimization to determine the optimal values of the asset size variables and carrying over the optimal values of the asset size variables, wherein the optimal values of the asset size variables correspond to an optimal net present value.

7. The energy cost optimization system of claim 1 , wherein the controller is configured to perform the optimization by:
varying a target variable comprising at least one of a simple payback period or an annuity factor;
for each value of the target variable, scaling one or more asset size cost terms in the modified cost function to a duration of the optimization period;
for each value of the target variable, optimizing the modified cost function and determining whether the new asset is purchased based on the optimal values of the asset size variables; and
optimizing an internal rate of return by finding a minimum value of the target variable that results in the new asset being purchased.

8. The energy cost optimization system of claim 1 , wherein the controller is configured to generate a benefit curve defining a relationship between the initial purchase cost of the new asset and a benefit of the new asset, wherein the benefit of the new asset is based on the effect of the new asset on the cost of operating the HVAC equipment.

9. The energy cost optimization system of claim 8 , wherein the controller is configured to perform the optimization by:
defining a net present value of the system as a function of the initial purchase cost of the new asset and the benefit of the new asset, wherein both the initial purchase cost and the benefit of the new asset depend on the asset size variables;
calculating the net present value of the system for a plurality of points along the benefit curve;
optimizing the net present value by finding an optimal point along the benefit curve that maximizes the net present value; and
determining a value of the asset size variable that corresponds to the optimal point along the benefit curve.

10. The energy cost optimization system of claim 8 , wherein the controller is configured to perform the optimization by:
defining an internal rate of return as a function of the initial purchase cost of the new asset and the benefit of the new asset, wherein both the initial purchase cost and the benefit of the new asset depend on the asset size variables;
calculating the internal rate of return for a plurality of points along the benefit curve;
optimizing the internal rate of return by finding an optimal point along the benefit curve that maximizes the internal rate of return; and
determining a value of the asset size variable that corresponds to the optimal point along the benefit curve.

11. The energy cost optimization system of claim 1 , wherein the controller is configured to use the energy load setpoints to operate the HVAC equipment.

12. A method for optimizing asset sizes in a building or a central plant, the method comprising:
generating a cost function defining a cost of operating building or central plant equipment over an optimization period as a function of one or more energy load setpoints for the equipment, wherein the energy load setpoints are decision variables in the cost function;
modifying the cost function to account for both an initial purchase cost of a new asset to be added to the equipment and an effect of the new asset on the cost of operating the equipment, wherein both the initial purchase cost of the new asset and the effect of the new asset on the cost of operating the equipment are functions of one or more asset size variables included as new decision variables in the modified cost function;
performing an optimization using the modified cost function to determine optimal values for the decision variables including the energy load setpoints and the asset size variables; and
using the optimal values of the energy load setpoints to operate the equipment.

13. The method of claim 12 , wherein the asset size variables comprise at least one of:
a capacity size variable indicating a maximum capacity of the new asset; and
a loading size variable indicating a maximum loading of the new asset.

14. The method of claim 12 , wherein performing the optimization comprises optimizing a financial metric comprising at least one of net present value, internal rate of return, or simple payback period.

15. The method of claim 12 , wherein performing the optimization comprises using mixed integer linear programming.

16. The method of claim 12 , further comprising generating a benefit curve defining a relationship between the initial purchase cost of the new asset and a benefit of the new asset, wherein the benefit of the new asset is based on the effect of the new asset on the cost of operating the equipment.

17. The method of claim 16 , wherein performing the optimization comprises:
defining a net present

Assignees

• Johnson Controls Tech Co

Inventors

• Elbsat Mohammad N
• Wenzel Michael J

Classifications

• F24F11/47

  Responding to energy costs · CPC title

• F24F11/46

  Improving electric energy efficiency or saving · CPC title

• F24F2140/50

  Load · CPC title

• G06Q30/0283

  Price estimation or determination · CPC title

• G05B17/02 Primary

  electric · CPC title