Abstract: Techniques for a battery management system with controlled replacement are disclosed. A plurality of battery units is configured. Each battery unit is connected in series to a power bus through a switch in each anode power connection and each cathode power connection of each battery unit. The switch in the anode power connection of each battery unit and the switch in the cathode power connection of each battery unit comprise a battery unit switch pair. Each battery unit switch pair is electronically controlled by a master controller. A power shunt switch is connected across each battery unit switch pair. Each power shunt switch is electronically controlled by the master controller and enables the power bus to bypass a selected battery unit. A signal communication path is provided between the master controller and each battery unit. An in situ battery unit reconfiguration is effected, using the master controller.

Abstract: Techniques for battery assessment based on battery performance tracking across battery cells are disclosed. A battery system comprising a plurality of battery cells is accessed. The plurality of battery cells comprises a plurality of battery columns made up of battery cells arranged in series. The plurality of battery columns is connected in parallel. Information is obtained on a battery cell within the plurality of battery cells. The information on the battery cell is tracked by a column controller for a battery column from the plurality of battery columns. The battery cell resides within the battery column. The information on the battery cell is stored for future reference. The stored information on the battery cell is analyzed. A capability metric for the battery cell is predicted based on the analyzing of the information on the battery cell. The battery cell information is obtained using near field communication.

Abstract: Techniques for a software-defined energy storage system interface are disclosed. A battery system, comprised of columns of battery cells connected in series by software-controlled switches wherein columns are connected in parallel by additional software-controlled switches, is accessed. Information about the battery system is obtained. The information is provided through a software Application Programming Interface (API) which provides an Industrial Internet of Things (IIoT) capability. The API can also receive queries and power requests for the battery system. A battery system configuration is defined to provide an energy profile based on a power request. The battery system is reconfigured based on the configuration that was defined. The battery system is subsequently reconfigured dynamically based on the power request as the battery cells within the system discharge or change status. Configurations can be predefined and can include different voltage arrangements for charging than for discharging.

Abstract: In one embodiment, there is provided a computer-implemented method for evaluating ceiling plenum airflow patterns and cooling performance of equipment in a data center. The method includes receiving data related to equipment in the data center, receiving data related to the ceiling plenum, determining first parameters related to airflow and to pressure in the ceiling plenum using a first airflow model, determining second parameters related to airflow through a plurality of equipment racks and to pressure across the plurality of equipment racks using a second airflow model distinct from the first airflow model, determining a coupling relationship between airflow through the equipment racks and airflow into the ceiling plenum, adjusting the first parameters based on at least the second parameters and the coupling relationship, determining a sufficiency of airflow through the equipment racks, and storing, on a storage device, an indication of the sufficiency of airflow through the equipment racks.

Abstract: A system and method for modeling airflow and temperature are disclosed.

Abstract: According to various aspects and embodiments, a system and method for use with a raised floor data center is provided. The method according to one aspect includes receiving input data, including data related to at least one data center design parameter, determining tile airflow uniformity using the input data and at least one empirical correlation, implementing an analytical model to determine airflow distribution, the analytical model including at least one empirical formula, and using the tile airflow uniformity and the airflow distribution to evaluate airflow in a data center design.

Abstract: A system and method for evaluating equipment in a data center is disclosed, hi one aspect, a method includes receiving parameters for equipment in the data center, the parameters including information descriptive of mass of the equipment, calculating an idealized thermal mass of the equipment based on the received parameters, calculating a temperature associated with the equipment at a first time period of a plurality of time periods based on the idealized thermal mass, and calculating a temperature for each subsequent time period of the plurality of time periods based on the idealized thermal mass and the temperature at a previous time period of the plurality of time periods.

Abstract: A computer-implemented method for evaluating cooling performance of equipment in a data center. In one aspect, the method comprises receiving data related to equipment in the data center, determining first parameters related to airflow and temperature in the data center at a first period in time, receiving a description of a transient event affecting one of airflow and temperature in the data center at a second time, breaking a second time period subsequent to the second time into a plurality of time intervals, determining second parameters related to airflow in the data center during one of the time intervals, determining the parameters related to temperature in the data center at each of the time intervals based on the second parameters related to airflow, and storing, on a storage device, a representation of the parameters related to temperature in the data center during the second time period.

Abstract: In one embodiment, there is provided a computer-implemented method for evaluating ceiling plenum airflow patterns and cooling performance of equipment in a data center. The method includes receiving data related to equipment in the data center, receiving data related to the ceiling plenum, determining first parameters related to airflow and to pressure in the ceiling plenum using a first airflow model, determining second parameters related to airflow through a plurality of equipment racks and to pressure across the plurality of equipment racks using a second airflow model distinct from the first airflow model, determining a coupling relationship between airflow through the equipment racks and airflow into the ceiling plenum, adjusting the first parameters based on at least the second parameters and the coupling relationship, determining a sufficiency of airflow through the equipment racks, and storing, on a storage device, an indication of the sufficiency of airflow through the equipment racks.

Abstract: In one embodiment, there is provided a computer-implemented method for evaluating ceiling plenum airflow patterns and cooling performance of equipment in a data center. The method includes receiving data related to equipment in the data center, receiving data related to the ceiling plenum, determining first parameters related to airflow and to pressure in the ceiling plenum using a first airflow model, determining second parameters related to airflow through a plurality of equipment racks and to pressure across the plurality of equipment racks using a second airflow model distinct from the first airflow model, determining a coupling relationship between airflow through the equipment racks and airflow into the ceiling plenum, adjusting the first parameters based on at least the second parameters and the coupling relationship, determining a sufficiency of airflow through the equipment racks, and storing, on a storage device, an indication of the sufficiency of airflow through the equipment racks.

Abstract: A system and method for providing energy assessment and optimization in a data center that includes at least one cooling provider, and at least one cooling consumer, the at least one cooling consumer having cooling requirements. The method according to one aspect includes receiving data regarding cooling availability and power consumption for the at least one cooling consumer, cooling capacity of the at least one cooling provider, and a physical relationship between the at least one cooling consumer and the at least one cooling provider in the data center, storing the received data, determining airflow distribution effectiveness between the at least one cooling consumer and the at least one cooling provider, and displaying at least one value representative of the effectiveness of the distribution of airflow in the data center between the at least one cooling consumer and the at least one cooling provider.

Abstract: A system and method is provided for evaluating the transient cooling performance of a data center. In one version, the method includes receiving input data from a storage device, the input data including data center architecture information and operating data, performing transient cooling performance calculations for the data center using the input data, and displaying results of the transient cooling performance calculations, wherein the results include at least one of a cooling runtime and a maximum predicted temperature of the data center following a power outage of the data center.

Abstract: According to various aspects and embodiments, a system and method for use with a raised floor data center is provided. The method according to one aspect includes receiving input data, including data related to at least one data center design parameter, determining tile airflow uniformity using the input data and at least one empirical correlation, implementing an analytical model to determine airflow distribution, the analytical model including at least one empirical formula, and using the tile airflow uniformity and the airflow distribution to evaluate airflow in a data center design.

Abstract: A system and method for evaluating equipment in a data center is disclosed, hi one aspect, a method includes receiving parameters for equipment in the data center, the parameters including information descriptive of mass of the equipment, calculating an idealized thermal mass of the equipment based on the received parameters, calculating a temperature associated with the equipment at a first time period of a plurality of time periods based on the idealized thermal mass, and calculating a temperature for each subsequent time period of the plurality of time periods based on the idealized thermal mass and the temperature at a previous time period of the plurality of time periods.

Abstract: Systems and methods provide determinations of airflow from a raised floor plenum. In one aspect, a computer-implemented method is provided for predicting airflow from a plurality of openings in a plenum, including determining an average air pressure in the plenum, determining an airflow value for each of the openings based on the average air pressure, dividing the plenum into a plurality of grid cells, determining a value for airflow velocity for each of the grid cells, determining an air pressure value at each of the openings based on the airflow velocity, determining a new airflow value for each one of the plurality of openings based on the air pressure value, determining whether a difference between the new airflow values and previous airflow values is greater than a threshold, and storing the new airflow value for each one of the plurality of openings as a final airflow value.

Abstract: A system and method for evaluating equipment in a data center, the equipment including a plurality of equipment racks, and at least one cooling provider. In one aspect, a method includes receiving data regarding each of the plurality of equipment racks and the at least one cooling provider, the data including a layout of the equipment racks and the at least one cooling provider, and a power draw value for each of the equipment racks, storing the received data, determining air flow between the at least one cooling provider and each of the equipment racks, determining inlet and exit air temperature for the at least one cooling provider based on the layout, the power draw and the airflow, and for each equipment rack, determining inlet and exit air temperature based on the layout, the power draw and the airflow.

Abstract: A computer-implemented method for evaluating cooling performance of equipment in a data center. In one aspect, the method comprises receiving data related to equipment in the data center, determining first parameters related to airflow and temperature in the data center at a first period in time, receiving a description of a transient event affecting one of airflow and temperature in the data center at a second time, breaking a second time period subsequent to the second time into a plurality of time intervals, determining second parameters related to airflow in the data center during one of the time intervals, determining the parameters related to temperature in the data center at each of the time intervals based on the second parameters related to airflow, and storing, on a storage device, a representation of the parameters related to temperature in the data center during the second time period.

Abstract: In one embodiment, there is provided a computer-implemented method for evaluating ceiling plenum airflow patterns and cooling performance of equipment in a data center. The method includes receiving data related to equipment in the data center, receiving data related to the ceiling plenum, determining first parameters related to airflow and to pressure in the ceiling plenum using a first airflow model, determining second parameters related to airflow through a plurality of equipment racks and to pressure across the plurality of equipment racks using a second airflow model distinct from the first airflow model, determining a coupling relationship between airflow through the equipment racks and airflow into the ceiling plenum, adjusting the first parameters based on at least the second parameters and the coupling relationship, determining a sufficiency of airflow through the equipment racks, and storing, on a storage device, an indication of the sufficiency of airflow through the equipment racks.

Abstract: According to at least one embodiment, a computer-implemented method for modeling cooling performance is provided. The method includes acts of receiving, by a computer, input data from a storage device, the input data including data related to physical structures within at least one equipment rack, selecting, based on the data related to physical structures, at least one first equation of a plurality of predetermined equations that describe pressure values in a plurality of spaces within the at least one equipment rack, determining pressure values in identified spaces of the plurality of spaces by solving the at least one first equation using the input data, determining airflow values between identified spaces by calculating a difference between the pressure values and storing, on the storage device, the airflow values as equipment rack airflow values within the at least one equipment rack.

Abstract: A system and method for evaluating cooling performance of equipment in a data center, the equipment including a plurality of equipment racks and at least one cooling provider.