Managing energy demand in an infrastructure

• US 8,565,931 B2
• Filed: 10/27/2010
• Issued: 10/22/2013
• Est. Priority Date: 10/27/2010
• Status: Active Grant

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Marwah, Manish, Sharma, Ratnesh Kumar, Shah, Amip J., Christian, Thomas W., Bash, Cullen E., Patel, Chandrakant, Arlitt, Martin, Lyon, Geoff M.
• Primary Examiner(s): SHECHTMAN, SEAN P
• Application Number:
  US12/913,368
• Publication Number:
  US 20120109391A1
• Time in Patent Office: 1,091 Days
• Field of Search: None
• US Class Current: 700/295
• CPC Class Codes: G06F 1/26 Power supply means, e.g. regulation thereof for memories G11C
• CPC Class Codes: G06F 9/4893 taking into account power or heat criteria power management in computers in general G06F1/3203; thermal management in computers in general G06F1/206
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

In a method for managing energy demand in an infrastructure, a coefficient of performance (COP) of the infrastructure as a function of time is determined. The COP is a measure of efficiency of the infrastructure. In addition, an energy demand on the infrastructure as a function of time is determined and an energy demand schedule for the infrastructure that temporally reallocates the energy demand based upon the determined COP of the infrastructure is determined.

Claims

1. A method for managing energy demand in an infrastructure, the method comprising:

determining, by a processor, a coefficient of performance (COP) of the infrastructure as a function of time, wherein the COP is a measure of efficiency of the infrastructure and is determined with respect to a sustainability metric of the infrastructure that includes a metric selected from the group consisting of carbon emission, exergy, and toxicity;

determining an energy demand on the infrastructure as a function of time; and

determining an energy demand schedule for the infrastructure that temporally reallocates the energy demand based upon the determined COP of the infrastructure.

2. The method according to claim 1, wherein determining the energy demand schedule for the infrastructure further comprises determining an energy demand schedule that substantially maximizes energy demand on the infrastructure during time periods at which the COP is the highest and that substantially minimizes energy demand on the infrastructure during time periods at which the COP is the lowest.

3. The method according to claim 1, wherein determining the energy demand schedule further comprises determining the temporal reallocation of the energy demand subject to one or more additional constraints, wherein the one or more additional constraints pertain to factors other than the COP and energy costs.

4. The method according to claim 1, wherein determining the energy demand schedule for the infrastructure further comprises determining the energy demand schedule using:

F(D_t)=f(w,D_t,COP_t),

wherein F(D_t) is the energy demand schedule for the infrastructure, D_t is an individual energy demand of a component of the infrastructure to be performed as a function of time, w is a normalized weight assigned to each of the individual energy demands based on a predetermined relevance, and COP_t, is an aggregate COP of the infrastructure as a function of time.

5. The method according to claim 1, further comprising:

receiving information from each of a plurality of infrastructures, wherein the information from each of the plurality of infrastructures includes an energy demand for each of the plurality of infrastructures; and

wherein determining the COP further comprises determining an aggregate COP of the plurality of infrastructures based on the received information from each of the plurality of infrastructures.

6. The method according to claim 1, wherein determining the energy demand schedule for the infrastructure further comprises employing a search algorithm to solve for an optimization to determine the energy demand schedule, wherein the search algorithm is selected from a group consisting of simulated annealing, hill climbing algorithm, local beam search, and genetic algorithm.

7. The method according to claim 1, wherein determining the energy demand schedule for the infrastructure further comprises determining the energy demand schedule using:

F(D_t)=f(w,D_t,U_t)

wherein F(D_t) is the energy demand for the infrastructure, D_t is an individual energy demand of a component of the infrastructure to be performed as a function of time, w is a normalized weight assigned to each of the individual energy demands based on a predetermined relevance, and

U_t=f(U<sub>t—

COP</sub>, U<sub>t—

COST</sub>),

wherein U<sub>t—

COP</sub> and U<sub>t—

COST</sub> are utility functions between 0 and 1 and an aggregate COP is mapped into U<sub>t—

COP</sub> and an aggregate energy cost map is mapped into U<sub>t—

COST</sub>.

8. The method according to claim 1, wherein determining the energy demand schedule further comprises determining the energy demand schedule to reallocate the energy demand from time periods at which the COP is relatively high to time periods at which the COP is relatively low through use of one or more energy storage devices.

9. The method according to claim 1, wherein determining the COP of the infrastructure includes evaluating a function of useful work performed by the infrastructure divided by the sustainability metric corresponding to performance of the useful work.

10. An apparatus for managing energy demand in an infrastructure, the apparatus comprising:

a processor; and

a memory device comprising machine-readable instructions that when executed by the processor causes the processor to;

determine a coefficient of performance (COP) of the infrastructure as a function of time, wherein the COP is a measure of efficiency of the infrastructure determined with respect to a sustainability metric of the infrastructure that includes a metric selected from the group consisting of carbon emission, exergy, and toxicity,

determine an energy demand on the infrastructure as a function of time, and

determine an energy demand schedule for the infrastructure that temporally reallocates the energy demand based upon the determined COP of the infrastructure.

11. The apparatus according to claim 10, wherein the machine-readable instructions are further to cause the processor to determine an energy demand schedule for the infrastructure that substantially maximizes energy demand on the infrastructure during time periods at which the COP is the highest and that substantially minimizes energy demand on the infrastructure during time periods at which the COP is the lowest.

12. The apparatus according to claim 10, wherein the machine-readable instructions are further to cause the processor to determine the temporal reallocation of the energy demand subject to one or more additional constraints, wherein the one or more additional constraints pertain to factors other than the COP and energy costs.

13. The apparatus according to claim 10, wherein the machine-readable instructions are to cause the processor to determine the energy demand schedule for the infrastructure using:

F(D_t)=f(w,D_t,COP_t),

wherein F(D_t) is energy demand schedule for the infrastructure, (D_t) is an individual energy demand of a component of the infrastructure to be performed as a function of time, w is a normalized weight assigned to each of the individual energy demands based on a predetermined relevance, and COP_t, is an aggregate COP of the infrastructure as a function of time.

14. The apparatus according to claim 10, wherein the machine-readable instructions are further to cause the processor to determine the energy demand schedule to reallocate the energy demand from time periods at which the COP is relatively high to time periods at which the COP is relatively low using one or more energy storage devices.

15. The apparatus according to claim 10, wherein the one or more modules are to determine the energy demand schedule for the infrastructure, wherein the COP of the infrastructure is determined as a function of useful work performed by the infrastructure divided by the sustainability metric in performing the useful work.

16. The apparatus according to claim 10, wherein the machine-readable instructions are further to determine the energy demand schedule for the infrastructure using:

F(D_t)=f(w,D_t,U_t),

wherein F(D_t) is the energy demand schedule for the infrastructure, D_t is an individual energy demand of a component of the infrastructure to be performed as a function of time, w is a normalized weight assigned to each of the individual energy demands based on a predetermined relevance, and

U_t=f(U<sub>t—

COP</sub>,U<sub>t—

COST</sub>),

wherein U<sub>t—

COP</sub> and U<sub>t—

COST</sub> are utility functions between 0 and 1 and an aggregate COP is mapped into U<sub>t—

COP</sub> and an aggregate energy cost map is mapped into U<sub>t—

COST</sub>.

17. A non-transitory computer readable storage medium on which is embedded one or more computer programs, said one or more computer programs to be executed by a processor to implement a method for managing energy demand in an infrastructure, wherein said one or more computer programs, when executed by the processor, are to cause the processor to:

determine a coefficient of performance (COP) of the infrastructure as a function of time, wherein the COP is a measure of efficiency of the infrastructure and is determined with respect to a sustainability metric of the infrastructure that includes a metric selected from the group consisting of carbon emission, exergy, and toxicity;

determine an energy demand on the infrastructure as a function of time; and

determine an energy demand schedule for the infrastructure that temporally reallocates the energy demand based upon the determined COP of the infrastructure.

18. The non-transitory computer readable storage medium according to claim 17, wherein to determine the COP of the infrastructure, said one or more computer programs further comprises computer readable code to cause the processor to evaluate a function of useful work performed by the infrastructure divided by the sustainability metric corresponding to performance of the useful work.