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. In some situations, a computational operation is supported by multiple datacenters in a redundant arrangement, such as multiple flexible datacenters.

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.

Abstract: A system includes a flexible datacenter and a power generation unit that generates power on an intermittent basis. The flexible datacenter is coupled to both the power generation unit and grid power through a local station. By various methods, a control system may detect a transition of the power generation unit into a stand-down mode and selectively direct grid power delivery to always-on systems in the flexible datacenter.

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.

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.

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.

Abstract: A system includes a flexible datacenter and an energy storage unit that receives and stores power from one or more grid-scale power generation units. The energy storage unit and the flexible datacenter are connected behind-the-meter to the power generation unit(s) such that they are not typically subject to grid transmission and distribution fees. By various methods, behind-the-meter power is routed between the power generation unit(s), the energy storage unit, the flexible datacenter, and/or the grid based on a variety of conditions and operational directives.

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 flexboxes, 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 art a lower cost at a flexible datacenter, the computational operation is instead routed to the flexible datacenters for performance. The critical datacenter and flexible datacenters preferably shared a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions.

Abstract: In an example embodiment, a distributed power control system can include a datacenter and a remote master control system. The datacenter can include (i) computing systems, (ii) a behind-the-meter power input system configured to receive power from a behind-the-meter power source and deliver power to the computing systems, and (iii) a datacenter control system configured to control the computing systems and the behind-the-meter power input system. The remote master control system can be configured to issue instructions to the datacenter that affect an amount of behind-the-meter power consumed by the datacenter. The datacenter control system can receive, from a local station control system configured to at least partially control the behind-the-meter power source, a directive for the datacenter to ramp-down power consumption, and in response to receiving the directive, cause the computing systems to perform a set of predetermined operations correlated with the directive.

Abstract: Example embodiments for providing computation resource availability based on power-generation signals are presented herein. An embodiment may involve receive information indicative of power-generation economic signals at a first control system and identifying at least one of: (i) a change in a power-generation economic signal that exceeds a predefined threshold change, (ii) a power-generation economic signal that is below a predefined lower threshold limit, or (iii) a power-generation economic signal that is above a predefined upper threshold limit. Responsive to the identification, the embodiment involves performing at least one of: (i) adjusting a rate of power use by a flexible datacenter, and (ii) providing an indication of computation resource availability to a second control system.

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. In some situations, a computational operation is supported by multiple datacenters in a redundant arrangement, such as multiple flexible datacenters.

Abstract: In an example embodiment, a distributed power control system can include a datacenter and a remote master control system. The datacenter can include (i) computing systems, (ii) a behind-the-meter power input system configured to receive power from a behind-the-meter power source and deliver power to the computing systems, and (iii) a datacenter control system configured to control the computing systems and the behind-the-meter power input system. The remote master control system can be configured to issue instructions to the datacenter that affect an amount of behind-the-meter power consumed by the datacenter. The datacenter control system can receive, from a local station control system configured to at least partially control the behind-the-meter power source, a directive for the datacenter to ramp-down power consumption, and in response to receiving the directive, cause the computing systems to perform a set of predetermined operations correlated with the directive.

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.