Power consumption control method, apparatus, and system for electric device
US-2024179632-A1 · May 30, 2024 · US
US9871408B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9871408-B2 |
| Application number | US-201514619394-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 11, 2015 |
| Priority date | Mar 26, 2014 |
| Publication date | Jan 16, 2018 |
| Grant date | Jan 16, 2018 |
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A data center operable using only electric power based on renewable energy. The data center includes at least one device driven by the electric power, a storage battery for storing the electric power, and a controller for switching the operating mode of the device over the course of time on the basis of predicted values for the amount of electric power generated using renewable energy, the amount of electric power stored in the storage battery, and the amount of electric power consumed by the device.
Opening claim text (preview).
What is claimed is: 1. A method for distributing a load between data centers, each data center being communicably connected, operable using electric power based only on renewable energy, and including at least one server driven by the electric power, and a storage battery for storing the electric power, wherein at least one of the at least one server of driven by the electric power is a server for executing the method, the method comprising steps of: receiving a predicted value for an amount of the electric power stored in the storage battery at the each data center; and assigning servers to execute jobs to be processed by the at least one server driven by the electric power in response to the predicted value for the amount of stored electric power. 2. The method according to claim 1 , wherein the step of assigning servers further comprises a step of assigning servers to execute jobs in descending order beginning with a server having a highest predicted value for the amount of the stored electric power. 3. The method according to claim 1 or claim 2 , wherein the step of assigning servers further comprises a step of assigning a job to at least one server having a predicted value for the amount of the stored electric power exceeding a predetermined threshold value, wherein the at least one server having the predicted value for the amount of the stored electric power exceeding the predetermined threshold value is a server from the at least one server driven by the electric power. 4. The method according to claim 3 , wherein the step of assigning servers further comprises a step of switching a server and/or other device operating mode to power saving mode at the data centers, if the predicted value for the amount of the stored electric power is lower than the predetermined threshold value. 5. The method according to claim 1 , wherein a predicted value B(T) for the amount of the electric power stored in the storage battery at time T is determined based on a formula: B(T)=B(0)+∫(g(t)−c(t))dt where g(t) is an amount of the electric power generated by the renewable energy, and c(t) is an amount of electric power consumed by the at least one server driven by the electric power. 6. The method according to claim 5 , wherein the step of assigning servers further comprises a step of assigning a job from a server in a first data center from the data centers, the server in the first data center enter having at time T 1 the predicted value B(T) for the amount of the electric power stored in the storage battery that is lower than predetermined threshold value Bth, to a server in a second data center from the data centers. 7. The method according to claim 5 , wherein a predicted value for the amount of the electric power generated using renewable energy is determined based on weather forecast data at time t when the amount of the electric power generated using the renewable energy g(t) changes in response to weather conditions in a region including a location of power generation. 8. The method according to claim 7 , wherein the amount of the electric power generated using the renewable energy is supplied by solar power and/or wind power. 9. The method according to claim 1 , wherein the step of assigning servers further comprises a step of selecting a data center from the data centers for a job assignment on the basis of a regional time difference between the data centers when the electric power generated using the renewable energy is supplied by the solar power.
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