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, displaying a model of the data center; performing real-time transient cooling performance calculations for the data center using the input data, and displaying results of the real-time transient cooling performance calculations, wherein the results include a maximum predicted temperature of the data center following a power outage of the data center.
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:
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. The method includes (A) receiving input data from a storage device, the input data including data related to the plenum (B) determining an average air pressure in the plenum, (C) determining an airflow value for each of the openings based on the average air pressure, (D) dividing the plenum into a plurality of grid cells, (E) using a first iterative method, determine a value for airflow velocity for each of the grid cells, (F) determining an air pressure value at each of the openings based on the airflow velocity, (G) using a second iterative method, determine a new airflow value for each one of the plurality of openings based on the air pressure value at the one of the openings, (H) determining whether a difference between the new airflow values and previous airflow values is greater than a threshold, and (I) repeating acts (E) through (H) until the difference is not greater than the threshold, and then 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, for each equipment rack, determining inlet and exit air temperature based on the layout, the power draw and the airflow, and displaying an indication of the inlet and exit temperature for each of the plurality of equipment racks and the at least one cooler. In the method, determining the inlet and exit temperature of each of the equipment racks and the at least one cooling provider includes establishing a set of S coupled equations, with S equal to a number of temperature values to be determined, and solving the S coupled equations.
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, for each equipment rack, determining inlet and exit air temperature based on the layout, the power draw and the airflow, and displaying an indication of the inlet and exit temperature for each of the plurality of equipment racks and the at least one cooler. In the method, determining the inlet and exit temperature of each of the equipment racks and the at least one cooling provider includes establishing a set of S coupled equations, with S equal to a number of temperature values to be determined, and solving the S coupled equations.
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:
A system and method for evaluating cooling performance of equipment in a data center is disclosed. In one aspect, a method includes receiving a plurality of measured inlet and exhaust air temperature values for at least one cooling provider and a subset of the plurality of equipment racks, implementing a cooling model. The method also includes adjusting at least one of an ambient air temperature value and each of a plurality of airflow values in the cooling model, and adjusting the cooling model to compensate for the adjusted at least one of the ambient air temperature value and each of the plurality of airflow values in the cooling model, substituting inlet and exhaust air temperature values in the cooling model with measured inlet and exhaust air temperature values, and predicting plurality of inlet and exhaust air temperature values in the cooling model.
Abstract:
A computer-implemented method for sequential placement of cooling resources in a data center comprises: defining a weighted, higher-order cooling metric, representing an overall performance of the cooling resources in the data center; enumerating all possible locations in the data center for placing an additional c cooling resources; and placing the c cooling resources in locations in the data center for which is closest to an optimum value. For a performance metric ?i, the weighted, higher-order cooling performance metric can be defined as where R represents a number of racks in the data center, C represents a total number of cooling resources placed in the data center, i represents one of the R racks in the data center, Mi (k) represents a value of metric Mi, when k cooling resources are shut down, and a(i,k) is a weighting function for rack i with the k cooling resources shut down. A system performing the method and computer-readable media having stored thereon instructions causing a processor to perform the method are also provided.
Abstract:
Aspects of the invention are directed to systems and methods for designing and analyzing data centers. One aspect is directed to a method of determining cooling characteristics of a data center. The method includes receiving data related to a configuration of equipment in the data center, identifying rack clusters in the configuration of equipment, and determining a capture index for at least one equipment rack of at least one rack cluster.
Abstract:
A computer-implemented method for sequential placement of cooling resources in a data center comprises: defining a weighted, higher- order cooling metric, representing an overall performance of the cooling resources in the data center; enumerating all possible locations in the data center for placing an additional cooling resources; and placing the cooling resources in locations in the data center for which is closest to an optimum value.