Facilitating revenue generation from data shifting by data centers
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G06F-019/00
G06Q-010/06
G06Q-030/02
G06Q-050/06
G06Q-010/00
출원번호
US-0774994
(2013-02-22)
등록번호
US-9159042
(2015-10-13)
발명자
/ 주소
Steven, Alain P.
Zibelman, Audrey A.
출원인 / 주소
VIRIDITY ENERGY, INC.
대리인 / 주소
McCarter & English, LLP
인용정보
피인용 횟수 :
7인용 특허 :
61
초록▼
The disclosure facilitates management data center utilization for generating energy-related revenue from energy markets. Operating schedules are generated, over a time period T, for operation of an energy management system of energy assets of data center sites. Since CPU utilization (or computing lo
The disclosure facilitates management data center utilization for generating energy-related revenue from energy markets. Operating schedules are generated, over a time period T, for operation of an energy management system of energy assets of data center sites. Since CPU utilization (or computing load) can be correlated to energy consumption, the operating schedules can cause the energy management system to modulate the CPU utilization (or computing load) of energy assets within a data center, or to indicate shifting of CPU utilization (or computing load) from one data center site in a certain energy market price region to another data center site in a different energy market price region. When implemented, the generated operating schedules facilitates derivation of the energy-related revenue, over a time period T, associated with operation of the energy assets according to the generated operating schedule.
대표청구항▼
1. An apparatus for determining a suggested operating schedule over a time period T for at least one data center operated by an energy customer of an electricity supplier, so as to generate energy-related revenue, over a time period T, associated with operation of the at least one data center accord
1. An apparatus for determining a suggested operating schedule over a time period T for at least one data center operated by an energy customer of an electricity supplier, so as to generate energy-related revenue, over a time period T, associated with operation of the at least one data center according to the operating schedule, wherein the energy-related revenue available to the energy customer over the time period T is based at least in part on a wholesale electricity market, the apparatus comprising: at least one communication interface;at least one memory to store processor-executable instructions and a mathematical model for the at least one data center comprising a plurality of energy assets, wherein the mathematical model specifies at least one function that calculates an energy profile for the at least one data center and the plurality of energy assets based at least in part on an operating schedule for the at least one data center applied to the mathematical model, wherein the operating schedule relates to a CPU utilization or a computing load of at least one energy asset of the plurality of energy assets of the at least one data center; andat least one processing unit, communicatively coupled to the at least one communication interface, and the at least one memory, wherein upon execution of the processor-executable instructions, the at least one processing unit: A) determines the suggested operating schedule, over the time period T, for the at least one data center based at least in part on the mathematical model and at least one forecast wholesale electricity price associated with the at least one wholesale electricity market, wherein the operating schedule specifies a capacity of at least one energy asset of the plurality of energy assets to be committed, during the time period T, to at least one of an energy market, a regulation market, an ancillary services market, a synchronized reserve market, a capacity market, a demand response market, a day-ahead scheduling reserve market, a real-time dispatched energy market, an emissions market, and a power quality market; andB) controls the at least one communication interface to transmit to the energy customer the suggested operating schedule determined in A), and/or controls the at least one memory so as to store the suggested operating schedule. 2. The apparatus of claim 1, wherein the plurality of energy assets comprises at least one controllable energy consuming asset. 3. The apparatus of claim 2, wherein the at least one controllable energy consuming asset is at least one server, and wherein the operating schedule relates to a CPU utilization or a computing load of the at least one server. 4. The apparatus of claim 3, wherein the energy-related revenue available to the energy customer over the time period T is based at least in part on the regulation market, and wherein the suggested operating schedule modulates the CPU utilization or the computing load based on a signal from an operator of the regulation market. 5. The apparatus of claim 2, wherein: the at least one controllable energy consuming asset includes at least one variable internal temperature controlled by a heating, ventilation and air conditioning (HVAC) system;the operating schedule also relates to the at least one controllable energy consuming asset; andthe operating schedule specifies a candidate temperature set point for the HVAC system as a function of time. 6. The apparatus of claim 1, wherein the at least one forecast wholesale electricity price includes at least two forecast wholesale electricity prices respectively associated with different geographic regions of the at least one wholesale electricity market. 7. The apparatus of claim 6, wherein: the at least one data center includes at least two data centers respectively located in the different geographic regions of the at least one wholesale electricity market; andin A), the suggested operating schedule specifies at least one time period t less than T for shifting of at least a portion of the computing load from one of the at least two data centers to the other, based at least in part on the at least two forecast wholesale electricity prices respectively associated with the different geographic regions. 8. The apparatus of claim 1, wherein upon execution of the processor-executable instructions in A), the at least one processing unit: A1) generates a first simulated customer baseline (CBL) energy profile for the at least one data center, over the time period T, based on a typical operation of the at least one data center, comprising: i) controlling the at least one communication interface to provide or receive a business-as-usual (BAU) operating schedule for the at least one data center over the time period T; andii) applying the BAU operating schedule to the mathematical model so as to generate the first simulated CBL energy profile; andA2) determines the suggested operating schedule for the at least one data center based at least in part on the mathematical model, the first simulated CBL energy profile generated in A1), and the forecast wholesale electricity price associated with the wholesale electricity market. 9. The apparatus of claim 8, wherein, upon execution of the processor-executable instructions, the at least one processing unit determines the suggested operating schedule for the at least one data center using an objective function by minimizing a net energy-related cost over the time period T, wherein the objective function includes the mathematical model, wherein the net-energy related cost is based at least in part on: the forecast wholesale electricity price associated with the wholesale electricity market;an electricity consumption by the at least one data center; andthe first simulated CBL energy profile; andwherein the energy-related revenue available to the energy customer is based at least in part on the minimized net energy-related cost. 10. The apparatus of claim 9, wherein the net energy-related cost is specified as a difference between an electricity supply cost and a demand response revenue over the time period T. 11. An apparatus for determining an operating schedule for at least one data center operated by an energy customer of an electricity supplier, so as to generate energy-related revenue, over a time period T, associated with operation of the at least one data center according to the operating schedule, wherein the energy-related revenue available to the energy customer over the time period T is based at least in part on a wholesale electricity market, the apparatus comprising: at least one communication interface;at least one memory to store processor-executable instructions and an objective function for the at least one data center comprising at least one energy consuming asset, wherein the at last one energy consuming asset comprises at least one server, wherein the objective function facilitates a determination of the operating schedule for the at least one data center based at least in part on an operation characteristic of the at least one data center and a forecast wholesale electricity price associated with the wholesale electricity market, and wherein the operating schedule relates to a CPU utilization or a computing load of the at least one data center; andat least one processing unit, communicatively coupled to the at least one communication interface and the at least one memory, wherein upon execution of the processor-executable instructions, the at least one processing unit: A) determines the operating schedule, over the time period T, for the at least one data center using the objective function and a customer baseline (CBL) energy profile for at least one energy consuming asset of the energy assets and at least one forecast wholesale electricity price associated with the at least one wholesale electricity market, over the time period T; wherein the CBL energy profile is computed based on applying a business-as-usual (BAU) operating schedule for the at least one energy consuming asset to a mathematical model of the operation of the at least one energy consuming asset, andwherein the operating schedule specifies a capacity of at least one energy asset of the plurality of energy assets to be committed, during the time period T, to at least one of an energy market, a regulation market, an ancillary services market, a synchronized reserve market, a capacity market, a demand response market, a day-ahead scheduling reserve market, a real-time dispatched energy market, an emissions market, and a power quality market; andB) controls the at least one communication interface to transmit to the energy customer the operating schedule for at least one data center determined in A), and/or controls the at least one memory so as to store the determined operating schedule. 12. The apparatus of claim 11, wherein the energy-related revenue available to the energy customer over the time period T is based at least in part on the at least one forecast wholesale electricity price associated with the wholesale electricity market and at least one regulation market price associated with the regulation market, and wherein the suggested operating schedule comprises modulating the CPU utilization or the computing load during a time interval t less than T based on a signal from an operator of the regulation market. 13. The apparatus of claim 11, wherein: the at least one energy consuming asset includes at least one variable internal temperature controlled by a heating, ventilation and air conditioning (HVAC) system;the operating schedule also relates to the at least one energy consuming asset;the operating schedule specifies a candidate temperature set point for the HVAC system as a function of time; andthe BAU operating schedule for the at least one controllable energy consuming asset is specified by a business-as-usual (BAU) temperature set point for the HVAC system as a function of time. 14. The apparatus of claim 11, wherein the energy consuming asset comprises a plurality of servers, and wherein the business-as-usual (BAU) operating schedule for the at least one energy consuming asset is based on an aggregate computing load of the at least one server. 15. The apparatus of claim 11, wherein the at least one forecast wholesale electricity price includes at least two forecast wholesale electricity prices respectively associated with different geographic regions of the at least one wholesale electricity market. 16. The apparatus of claim 15, wherein: the at least one data center includes at least two data centers respectively located in the different geographic regions of the at least one wholesale electricity market; andin A), the suggested operating schedule specifies at least one time period t less than T for shifting of at least a portion of the computing load from one of the at least two data centers to the other, based at least in part on the at least two forecast wholesale electricity prices respectively associated with the different geographic regions. 17. The apparatus of claim 11, wherein, upon execution of the processor-executable instructions, the at least one processing unit determines the operating schedule for the at least one data center using the objective function in A) by minimizing a net energy-related cost over the time period T, wherein the net-energy related cost is based at least in part on: an electricity consumption by the at least one energy consuming asset; andthe CBL energy profile; andwherein the energy-related revenue available to the energy customer is based at least in part on the minimized net energy-related cost.
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