POWER INFRASTRUCTURE SIZING AND WORKLOAD MANAGEMENT

• US 20140324535A1
• Filed: 04/30/2013
• Published: 10/30/2014
• Est. Priority Date: 04/30/2013
• Status: Abandoned Application

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: CHEN, Yuan, Bash, Cullen E., Liu, Zhenhua
• Application Number:
  US13/874,272
• Publication Number:
  US 20140324535A1
• Time in Patent Office: Days
• US Class Current: 705/7.31
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities

Abstract

According to an example, power infrastructure sizing and workload management of an entity may include receiving power supply and information technology (IT) workload demand input parameter specifications for the entity, and using the power supply and IT workload demand input parameter specifications for a power infrastructure sizing and workload management model for the entity. The power infrastructure sizing and workload management model may be used to generate power supply and IT workload demand output parameter specifications for the entity.

Claims

1. A method for power infrastructure sizing and workload management of an entity, the method comprising:

receiving power supply and information technology (IT) workload demand input parameter specifications for the entity;

using the power supply and IT workload demand input parameter specifications for a power infrastructure sizing and workload management model for the entity; and

using, by a processor, the power infrastructure sizing and workload management model to generate power supply and IT workload demand output parameter specifications for the entity.

2. The method of claim 1, wherein receiving power supply and IT workload demand input parameter specifications for the entity further comprises:

receiving the power supply and IT workload demand input parameter specifications for parameters related to onsite power generation, power from grid, energy storage, IT workload demand and service-level agreements (SLAs), and cooling.

3. The method of claim 1, wherein to generate power supply and IT workload demand output parameter specifications for the entity further comprises:

generating the power supply and IT workload demand output parameter specifications for parameters related to onsite power generation, power from grid, energy storage, and IT workload scheduling.

4. The method of claim 1, wherein:

receiving power supply and IT workload demand input parameter specifications for the entity further comprises;

receiving the power supply and IT workload demand input parameter specifications for a parameter e_c(t) that represents a carbon emission factor of onsite power generation at time t, a parameter I_C that represents an amortized capital cost of the onsite power generation, and a parameter p_c(t) that represents operational and maintenance cost of the onsite power generation at time t; and

using the power infrastructure sizing and workload management model to generate power supply and IT workload demand output parameter specifications for the entity further comprises;

using the power infrastructure sizing and workload management model to generate the power supply and IT workload demand output parameter specifications for a parameter C_c that represents installed capacity of the onsite power generation, and a parameter f_c(t) that represents a capacity factor of onsite power generation at time t, where 0≦

f_c(t)≦

1.

5. The method of claim 1, wherein:

receiving power supply and IT workload demand input parameter specifications for the entity further comprises;

receiving the power supply and IT workload demand input parameter specifications for a parameter p_g(t) that represents an electricity price of power from a grid at time t, a parameter p_b(t) that represents a sell-back price of power from the grid at time t, and a parameter e_g(t) that represents a carbon emission factor of power from the grid at time t; and

using the power infrastructure sizing and workload management model to generate power supply and IT workload demand output parameter specifications for the entity further comprises;

using the power infrastructure sizing and workload management model to generate the power supply and IT workload demand output parameter specifications for a parameter C_g that represents an installed capacity of power from the grid, and a parameter c_g(t) that represents an energy consumption of power from the grid at time t.

6. The method of claim 1, wherein:

receiving power supply and IT workload demand input parameter specifications for the entity further comprises;

receiving the power supply and IT workload demand input parameter specifications for a parameter ρ

p that represents an energy storage loss rate, a parameter u_e(t) that represents an emerge storage at time t, where 0≦

u_e(t)≦

C_e, and parameter C_e represents an installed capacity of energy storage, a parameter I_e that represents an amortized capital cost of energy storage, and a parameter p_e(t) that represents operation and maintenance cost of energy storage at time t; and

using the power infrastructure sizing and workload management model to generate power supply and IT workload demand output parameter specifications for the entity further comprises;

using the power infrastructure sizing and workload management model is to generate the power supply and IT workload demand output parameter specifications for the parameter C_e that represents the installed capacity of energy storage, a parameter di_e(t) that represents a power discharge of energy storage at time t, and a parameter ch_e(t) that represents a power charge of energy storage at time t.

7. The method of claim 1, wherein:

receiving power supply and IT workload demand input parameter specifications for the entity further comprises;

receiving the power supply and IT workload demand input parameter specifications for a parameter a_i(t) that represents a demand of primary workload i at time t, a parameter B_j that represents a total capacity demand of secondary workload j, and a parameter E_j that represents a capacity of the secondary workload j at time t, wherein a primary workload is defined based on IT demand, and a secondary workload is defined based on IT demand and completion time such that the secondary workload is executable at any time to meet the completion time; and

using the power infrastructure sizing and workload management model to generate the power supply and IT workload demand output parameter specifications for the entity further comprises;

using the power infrastructure sizing and workload management model to generate the power supply and IT workload demand output parameter specifications for a parameter b_j(t) that represents a capacity of the secondary workload j at time t.

8. The method of claim 1, wherein using the power infrastructure sizing and workload management model to generate power supply and IT workload demand output parameter specifications for the entity further comprises:

minimizing parameters C_c, f_c(t), C_g, c_g(t), C_e, di_e(t), ch_e(t), and b_j(t) for the equation;

9. The method of claim 8, further comprising:

evaluating the equation based on the constraint;

Σ

_ia_i(t)+Σ

_jb_j(t)+f(C_IT)≦

Σ

_cC_cf_c(t)+c_g(t)+di_e(t)/ρ

−

ch_e(t) ∀

_t,

wherein for the parameters a_i(t), f(C_IT(t)), and ρ

, parameter a_i(t) represents a demand of primary workload i at time t, parameter f(C_IT(t)) represents cooling power consumption at time t, and parameter ρ

represents an energy storage loss rate.

10. The method of claim 8, further comprising:

is evaluating the equation based on the constraint;

Σ

_c(Σ

_te_c(t)C_cf_c(t))+Σ

_tc_g(t)e_g(t)≦

CG ∀

_t,

wherein for the parameters e_c(t), e_g(t), and CG, parameter e_c(t) represents a carbon emission factor of onsite power generation at time t, parameter e_g(t) represents a carbon emission factor of power from the grid at time t, and parameter CG represents a carbon emission objective.

11. The method of claim 8, further comprising:

evaluating the equation based on the constraint;

−

C_g≦

c_g(t)≦

C_g ∀

_t,

wherein the parameter C_g represents an installed capacity of power from the grid.

12. The method of claim 8, further comprising:

evaluating the equation based on the constraint;

13. The method of claim 8, further comprising:

evaluating the equation based on the constraint;

Σ

_tb_j(t)≦

B_j ∀

_j,

wherein the parameter Bj represents a total capacity demand of secondary workload j.

14. A power infrastructure sizing and workload management apparatus comprising:

a memory storing machine readable instructions to;

receive power supply and information technology (IT) workload demand input parameter specifications for an entity for parameters related to onsite power generation, power from grid, energy storage, IT workload demand and service-level agreements (SLAs), and cooling;

use the power supply and IT workload demand input parameter specifications for a power infrastructure sizing and workload management model for the entity; and

use the power infrastructure sizing and workload management model to generate power supply and IT workload demand output parameter specifications for the entity to provide;

optimal power infrastructure sizing for the entity to minimize capital cost of the entity, and

IT workload management to minimize operational cost of the entity; and

a processor to implement the machine readable instructions.

15. A non-transitory computer readable medium having stored thereon machine readable instructions to provide power infrastructure sizing and workload management, the machine readable instructions, when executed, cause a computer system to:

receive power supply and information technology (IT) workload demand input parameter specifications for an entity;

use the power supply and IT workload demand input parameter specifications for a power infrastructure sizing and workload management model for the entity; and

use, by a processor, the power infrastructure sizing and workload management model to generate power supply and IT workload demand output parameter specifications for the entity for parameters related to onsite power generation, power from grid, energy storage, and IT workload scheduling, to provide;

optimal power infrastructure sizing for the entity to minimize capital cost of the entity, and

IT workload management to minimize operational cost of the entity.