Abstract:
A water-based closed-loop cooling system employed to cool waterborne data center facility generally comprise a plurality of filtered water intake pipes, a plurality of filtered water exhaust pipes, a plurality of heat exchangers, a plurality of closed-loop cooling systems or closed-loop coolant distribution units that may use freshwater as a coolant, and a plurality of piping systems. The energy-efficient water based closed-loop cooling system and method described may use naturally occurring cold water as a heat sink in a plurality of heat exchange systems. The systems and methods described in this document may be employed to provide an energy-efficient water-based closed-loop cooling system to maintain interior ambient conditions suitable for proper operation of the plurality of computer systems therein.
Abstract:
A waterborne data center facility that utilizes a closed-looped heat management system that is both energy-efficient and cost-effective is disclosed. Embodiments employ a closed-looped, energy efficient, cost effective thermal management system that leverages natural resources to control thermal conditions and reduce the overall requirement for cooling power.
Abstract:
A modular data center build method and system including pre fabricated data center modules comprised of a plurality of racks, a plurality of rack mounted computer systems, a door, electrical systems, cooling systems, power connections, water connections, video systems, biometric access system and a fire safety system. A steel beam structure may be employed to secure multiple vertical levels of a plurality of data center modules. The described modular data center build method and system with pre fabricated data center modules may be employed to quickly deploy a data center in a repeatable sustainable manner, drastically reducing the build deployment time of a data center from design to fully operational.
Abstract:
A modular data center build method and system including prefabricated data center modules comprised of a plurality of racks, a plurality of rack-mounted computer systems, a door, electrical systems, cooling systems, power connections, water connections, video systems, biometric access system and a fire safety system. A steel beam structure may be employed to secure multiple vertical levels of a plurality of data center modules. The described modular data center build method and system with prefabricated data center modules may be employed to quickly deploy a data center in a repeatable sustainable manner, drastically reducing the build deployment time of a data center from design to fully operational.
Abstract:
Waterborne data center facility systems and methods comprising a purpose-built marine vessel, a pre-fabricated data center facility structure, a plurality of computer systems, a plurality of energy-efficient water-based heat exchange systems, a plurality of energy efficient closed loop cooling systems, a plurality of data center modules and a plurality of electrical power generators. Described systems and methods may be employed to quickly deploy an energy-efficient waterborne data center facility. Described waterborne data center facility is transportable and may be moved to areas where data center facility and data center type services are needed. Water-based heat exchange and closed-loop cooling system enable energy-efficient cooling to data center facility and the plurality of computing systems therein. Power generators may be used to provide power to data center facility. Waterborne data center facility may prove helpful in areas following natural disasters or for military purposes where data center services are needed but not readily available.
Abstract:
The thermal containment system generally includes an enclosure, a vertical enclosure, a cable management system, integrated cooling unit, a plurality of quick connect couples for the cooling unit, a plurality of VFD fans, a plurality of recessed wheels, a plurality of wireless sensors and a quick lock system for securing the thermal containment system. The thermal containment system may be employed to control air flow in the data center, isolating hot air expelled by a plurality of computer systems therein and conditioning the hot air with integrated cooling units that may be connected to a closed-loop cooling system. The wireless sensors may be employed to collect data for a data center infrastructure management (DCIM) system that may monitor and manage elements of the thermal containment system.
Abstract:
Systems and methods for intelligent data center power management and energy market disaster recovery comprised of data collection layer, infrastructure elements, application elements, power elements, virtual machine elements, analytics/automation/actions layer, analytics or predictive analytics engine, automation software, actions software, energy markets analysis layer and software and intelligent energy market analysis elements or software. Plurality of data centers employ the systems and methods comprised of a plurality of Tier 2 data centers that may be running applications, virtual machines and physical computer systems to enable data center and application disaster recovery from utility energy market outages. Systems and methods may be employed to enable application load balancing and data center power load balancing across a plurality of data centers may lead to financial benefits when moving application and power loads from one data center location using power during peak energy hours to another data center location using power during off-peak hours.
Abstract:
A Data Center Infrastructure Management (DCIM) system comprising predictive analytics and methods for collecting data, analyzing data, optimizing infrastructure efficiency and automating management of data center infrastructure systems and components is disclosed. The DCIM system comprising predictive analytics may generally comprise a DCIM appliance or server, data collection hardware, database hardware, software for collecting data from a plurality of infrastructure systems, infrastructure components and wireless sensors, presentation client software, reporting software and an intelligent predictive analytics engine. The intelligent predictive analytics engine may be employed to identify infrastructure optimization actions enabling the DCIM system software or DCIM element controller to enact changes to the operational state of data center infrastructure systems or components to sustain optimal data center infrastructure efficiency. The DCIM system comprising predictive analytics may continuously collect and analyze infrastructure system, infrastructure components and environmental data.