Modifying Computing System Operations Based on Cost and Power Conditions

    公开(公告)号:US20210035242A1

    公开(公告)日:2021-02-04

    申请号:US16529402

    申请日:2019-08-01

    Applicant: Lancium LLC

    Abstract: Examples relate to flexible datacenters or other power loads tolerant of intermittent operation and configured to use power received behind-the-meter. A system may include a set of computing systems powered by behind-the-meter power and a datacenter control system. The datacenter control system may be configured to monitor a set of conditions that includes behind-the-meter power availability at the set of computing systems and perform a weighted analysis using the set of monitored conditions. Based on the weighted analysis, the datacenter control system may be configured to modulate operating attributes of one or more computing systems of the set of computing systems. In some examples, the datacenter control system is a remote master control system in communication with a datacenter control system of a flexible datacenter housing the set of computing systems.

    GRANULAR POWER RAMPING
    23.
    发明公开

    公开(公告)号:US20240134333A1

    公开(公告)日:2024-04-25

    申请号:US18535065

    申请日:2023-12-11

    Applicant: Lancium LLC

    Abstract: Examples relate to flexible datacenters or other power loads tolerant of intermittent operation and configured to use power received behind-the-meter. A system may include a plurality of computing systems that receive behind-the-meter (“BTM”) power from a BTM power source. The system may include a first controller configured to control a first set of computing systems and a second controller configured to control a second set of computing systems of the plurality of computing systems. The system may also include a third controller communicatively coupled to the first controller and the second controller. The third controller is configured to provide instructions to the first controller and the second controller based on BTM power availability at the plurality of computing systems.

    Methods and systems for adjusting power consumption based on a dynamic power option agreement

    公开(公告)号:US11581734B2

    公开(公告)日:2023-02-14

    申请号:US17328337

    申请日:2021-05-24

    Applicant: LANCIUM LLC

    Abstract: Examples relate to adjusting load power consumption based on a power option agreement. A computing system may receive power option data that is based on a power option agreement and specify minimum power thresholds associated with time intervals. The computing system may determine a performance strategy for a load (e.g., set of computing systems) based on a combination of the power option data and one or more monitored conditions. The performance strategy may specify a power consumption target for the load for each time interval such that each power consumption target is equal to or greater than the minimum power threshold associated with each time interval. The computing system may provide instructions the set of computing systems to perform one or more computational operations based on the performance strategy.

    Managing queue distribution between critical datacenter and flexible datacenter

    公开(公告)号:US11342746B2

    公开(公告)日:2022-05-24

    申请号:US16573577

    申请日:2019-09-17

    Applicant: Lancium LLC

    Abstract: Systems include one or more critical datacenter connected to behind-the-meter flexible datacenters. The critical datacenter is powered by grid power and not necessarily collocated with the flexible datacenters, which are powered “behind the meter.” When a computational operation to be performed at the critical datacenter is identified and determined that it can be performed more efficiently or advantageously at a flexible datacenter, the computational operation is instead obtained by the flexible datacenters for performance. The critical datacenter and flexible datacenters preferably share a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions. A queue system may be used to organize computational operations waiting for distribution to either the critical datacenter or the flexible datacenter.

    Managing queue distribution between critical datacenter and flexible datacenter

    公开(公告)号:US11283261B2

    公开(公告)日:2022-03-22

    申请号:US16525142

    申请日:2019-07-29

    Applicant: Lancium LLC

    Abstract: Systems include one or more critical datacenter connected to behind-the-meter flexible datacenters. The critical datacenter is powered by grid power and not necessarily collocated with the flexible datacenters, which are powered “behind the meter.” When a computational operation to be performed at the critical datacenter is identified and determined that it can be performed more efficiently or advantageously at a flexible datacenter, the computational operation is instead obtained by the flexible datacenters for performance. The critical datacenter and flexible datacenters preferably share a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions. A queue system may be used to organize computational operations waiting for distribution to either the critical datacenter or the flexible datacenter.

    COMPUTING COMPONENT ARRANGEMENT BASED ON RAMPING CAPABILITIES

    公开(公告)号:US20210312574A1

    公开(公告)日:2021-10-07

    申请号:US17353285

    申请日:2021-06-21

    Applicant: LANCIUM LLC

    Abstract: Examples relate to a method includes monitoring a set of parameters. The set of parameters are associated with a first set of computing components and a second set of computing components. The first set of computing components is located in a first region and the second set of computing components is located in a second region. The first region is positioned proximate a generation station control system associated with a generation station and the second region is positioned remotely from the generation station control system. Each computing system of the second set of computing systems is configured to adjust power consumption during operation. The method also includes adjusting power consumption at one or more computing components of the second set of computing components based on the set of parameters.

    Methods and Systems for Adjusting Power Consumption based on a Fixed-Duration Power Option Agreement

    公开(公告)号:US20210126456A1

    公开(公告)日:2021-04-29

    申请号:US16834987

    申请日:2020-03-30

    Applicant: Lancium LLC

    Abstract: Examples relate to adjusting load power consumption based on a power option agreement. A computing system may receive power option data that is based on a power option agreement and specify minimum power thresholds associated with time intervals. The computing system may determine a performance strategy for a load (e.g., set of computing systems) based on a combination of the power option data and one or more monitored conditions. The performance strategy may specify a power consumption target for the load for each time interval such that each power consumption target is equal to or greater than the minimum power threshold associated with each time interval. The computing system may provide instructions the set of computing systems to perform one or more computational operations based on the performance strategy.

    Behind-the-meter branch loads for electrical vehicle charging

    公开(公告)号:US10857899B1

    公开(公告)日:2020-12-08

    申请号:US16809111

    申请日:2020-03-04

    Applicant: Lancium LLC

    Abstract: Examples relate to flexible datacenters or other power loads tolerant of intermittent operation and configured to use power received behind-the-meter. A system may include a transportation hub electrically coupled to a BTM power source via a branch line. The transportation hub may receive behind-the-meter (“BTM”) power from the BTM power source. The system may also include a datacenter control system configured to modulate power delivery to the transportation hub based on a set of monitored conditions. The set of monitored conditions may include BTM power availability at the transportation hub. In some examples, the datacenter control system is a remote master control system positioned remotely from the transportation hub.

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