Adaptive Control of a Heating Apparatus Based on a Load's Thermal Properties
US-2024168504-A1 · May 23, 2024 · US
US9851726B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9851726-B2 |
| Application number | US-201414474496-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 2, 2014 |
| Priority date | Sep 4, 2013 |
| Publication date | Dec 26, 2017 |
| Grant date | Dec 26, 2017 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
Embodiment of the present invention generally relate to the field of thermal capacity management within data centers, and more specifically, to methods and systems which provide feedback based on thermal information associated with parts of a data center. In an embodiment, the present invention is a method comprising the steps of using temperature measurements and power meter readings to provide real-time capacity usage information in a given data center and to use that information to perform moves/adds/changes with a particular level of confidence.
Opening claim text (preview).
We claim: 1. A non-transitory computer readable storage medium including a sequence of instructions stored thereon for causing a computer to execute a method for managing cooling capacity within a data center, said method comprising the steps of: collecting cabinet information from each of a plurality of cabinets, said cabinet information including an inlet temperature, a maximum allowable cabinet temperature, and a supply air temperature; collecting a total power consumption for said plurality of cabinets; collecting a total cooling capacity for said plurality of cabinets; deriving a remaining cooling capacity for said plurality of cabinets; for each of said plurality of cabinets calculating a θ value, each of said calculated θ values being calculated at least in part from said respective collected cabinet information; and for each of said calculated θ values determining whether any one of said plurality of cabinets' said inlet temperatures is at least one of below, at, and above said respective maximum allowable cabinet temperatures, where: if any one of said inlet temperatures is at least one of at and above said respective maximum allowable cabinet temperatures, providing a first alarm, and where if all of said inlet temperatures are below said respective maximum allowable cabinet temperatures, determining whether each of said calculated θ values is at least one of below, at, and above a user-defined θ value, where: if any one of said calculated θ values is at least one of at and above said user-defined θ value, providing a second alarm, and where if all of said calculated θ values are below said user-defined θ value, distributing said remaining cooling capacity over said plurality of cabinets. 2. The non-transitory computer-readable medium of claim 1 , wherein said distributing said remaining cooling capacity over said plurality of cabinets includes evenly distributing said remaining cooling capacity over said plurality of cabinets. 3. The non-transitory computer-readable medium of claim 1 , wherein said user-defined θ value corresponds to a confidence percentage. 4. The non-transitory computer-readable medium of claim 3 , wherein said confidence percentage corresponds to a level of confidence that said distribution of said remaining cooling capacity over said plurality of cabinets will satisfy a projected state for said data center. 5. The non-transitory computer-readable medium of claim 3 , wherein said confidence percentage is less than 100% for user-defined θ values greater than 0.3. 6. The non-transitory computer-readable medium of claim 1 , wherein said step of collecting said total power consumption for said plurality of cabinets includes monitoring a power outlet unit for each of said plurality of cabinets. 7. The non-transitory computer-readable medium of claim 1 , wherein said step of collecting said inlet temperature for each of said plurality of cabinets includes monitoring at least one temperature sensor for each of said plurality of cabinets. 8. The non-transitory computer-readable medium of claim 1 , wherein each of said θ values is calculated via θ = T max , i - T SAT T Allowable - T SAT where: T max,i is said respective inlet temperature, T SAT is said respective supply air temperature, and T Allowable is said respective maximum allowable cabinet temperature. 9. A system for managing cooling capacity within a data center, said system comprising: at least one processor; and a non-transitory computer readable medium connected to said at least one processor, said non-transitory computer readable medium includes instructions for: collecting cabinet information from each of a plurality of cabinets, said cabinet information including an inlet temperature, a maximum allowable cabinet temperature, and a supply air temperature; collecting a total power consumption for said plurality of cabinets; collecting a total cooling capacity for said plurality of cabinets; deriving a remaining cooling capacity for said plurality of cabinets; for each of said plurality of cabinets calculating a θ value, each of said calculated θ values being calculated at least in part from said respective collected cabinet information; and for each of said calculated θ values determining whether any one of said plurality of cabinets' said inlet temperatures is at least one of below, at, and above said respective maximum allowable cabinet temperatures, where: if any one of said inlet temperatures is at least one of at and above said respective maximum allowable cabinet temperatures, providing a first alarm, and where if all of said inlet temperatures are below said respective maximum allowable cabinet temperatures, determining whether each of said calculated θ values is at least one of below, at, and above a user-defined θ value, where: if any one of said calculated θ values is at least one of at and above said user-defined θ value, providing a second alarm, and where if all of said calculated θ values are below said user-defined θ value, distributing said remaining cooling capacity over said plurality of cabinets. 10. The system of claim 9 , wherein said distributing said remaining cooling capacity over said plurality of cabinets includes evenly distributing said remaining cooling capacity over said plurality of cabinets. 11. The system of claim 9 , wherein said user-defined θ value corresponds to a confidence percentage. 12. The system of claim 11 , wherein said confidence percentage corresponds to a level of confidence that said distribution of said remaining cooling capacity over said plurality of cabinets will satisfy a projected state for said data center. 13. The system of claim 11 , wherein said confidence percentage is less than 100% for user-defined θ values greater than 0.3. 14. The system of claim 9 , wherein said collecting said total power consumption for said plurality of cabinets includes monitoring a power outlet unit for each of said plurality of cabinets. 15. The system of claim 9 , wherein said collecting said inlet temperature for each of said plurality of cabinets includes monitoring at least one temperature sensor for each of said plurality of cabinets. 16. The system of claim 9 , wherein each of said θ values is calculated via θ = T max , i - T SAT T Allowable - T SAT
Thermal management, e.g. server temperature control · CPC title
Modifications to facilitate cooling, ventilating, or heating · CPC title
using digital means · CPC title
within rooms for removing heat from cabinets · CPC title
comprising thermal management · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.