A motorless mass flowmeter in accordance with one embodiment of the invention comprises a turbine subassembly, a drum, and an impeller. The drum is rigidly connected to the turbine subassembly such that the drum rotates in accompaniment to rotation of the turbine subassembly. The impeller is rotationally coupled to the drum by way of a spring that allows relative rotation against the bias of the spring. The turbine subassembly has jets and bypass valves. The turbine subassembly may be implemented in the form of a laminated bypass valve structure. The laminated bypass valve structure may include an entrance layer having entrance port(s), a closure layer having closure member(s), an exit layer defining exit passage(s), and an intermediary layer forming conduit(s) for guiding fluid from entrance port(s) to exit passage(s).
Method For Computing Cooling Redundancy At The Rack Level
AMERICAN POWER CONVERSION CORPORATION - West Kingston RI
International Classification:
G06F 17/10 G06F 1/20
US Classification:
703 2
Abstract:
A system and method for designing aspects of a cooling system for a data center is provided. A method is provided including computing cooling redundancy at each rack position in a data center, in real time. The redundancy can be reported using the traditional N+1, N+2, etc. notation, where N is the number of coolers required to meet the primary cooling load type specification. The method substantially reduces the computational complexity of computing cooling redundancy.
System And Method For Sequential Placement Of Cooling Resources Within Data Center Layouts
Christopher M. Healey - Chelmsford MA, US Xuanhang Zhang - Tewksbury MA, US
Assignee:
AMERICAN POWER CONVERSION CORPORATION - West Kingston RI
International Classification:
H05K 7/20
US Classification:
36167946
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 M, the weighted, higher-order cooling performance metric can be defined aswhere 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, Mrepresents a value of metric Mwhen 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.
System And Method For Measurement Aided Prediction Of Temperature And Airflow Values In A Data Center
Christopher Healey - Chelmsford MA, US Xuanhang Zhang - Tewksbury MA, US James W. VanGilder - Pepperell MA, US
International Classification:
G05D 23/19 G06G 7/57 G06G 7/56
US Classification:
700278, 703 9
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. In one aspect, a method includes receiving a plurality of measured inlet and exhaust air temperature values for the at least one cooling provider and a subset of the plurality of equipment racks, implementing a cooling model, the model including an ambient air temperature value, a plurality of inlet and exhaust air temperature values for the plurality of equipment racks and the at least one cooling provider, and a plurality of airflow values for the plurality of equipment racks and the at least one cooling provider, adjusting at least one of the ambient air temperature value and each of the plurality of airflow values in the cooling model, 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 a first subset of the plurality of inlet and exhaust air temperature values in the cooling model with the plurality of measured inlet and exhaust air temperature values, and predicting a second subset of the plurality of inlet and exhaust air temperature values for the plurality of equipment racks and the at least one cooling provider in the cooling model.
System And Methods For Simulation-Based Optimization Of Data Center Cooling Equipment
- West Kingston RI, US Christopher M. Healey - Tewksbury MA, US Jean-Louis Bergerand - Saint-Martin D'heres, FR Claude Le Pape-Gardeux - Grenoble, FR James William VanGilder - Pepperell MA, US
International Classification:
H05K 7/20 G05B 13/04
Abstract:
Aspects of this disclosure are directed to a simulation-based cooling optimization method that provides real-time cooling set points in a data center. The method combines airflow and temperature simulation, energy modeling, and an optimization solver to determine optimal cooling set point values for a data center. Other aspects are also directed to estimating power consumption and cost and energy savings.
Method And Apparatus For Characterizing Thermal Transient Performance
- West Kingston RI, US Christopher M. Healey - Tewksbury MA, US Xuanhang Zhang - North Reading MA, US Zachary Pardey - Waltham MA, US
International Classification:
G05D 23/19 G05B 13/04 G06F 11/30 G06F 17/50
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.
System And Method For Fluid Dynamics Prediction With An Enhanced Potential Flow Model
- West Kingston RI, US Christopher M. Healey - Chelmsford MA, US Xuanhang Zhang - Tewksbury MA, US
Assignee:
AMERICAN POWER CONVERSION CORPORATION - West Kingston RI
International Classification:
G06F 17/50
US Classification:
703 2
Abstract:
A system and method for modeling airflow and temperature are disclosed. In one example, the method includes receiving input data related to a physical layout of a facility, dividing, by a computer, a representation of the facility into a plurality of grid cells, identifying where effects of at least one of jet airflow, thermal plumes and buoyancy forces are present in the facility based on the physical layout, specifying a velocity value, using a velocity correction method, for a first set of the plurality of grid cells if the effects of at least one of jet airflow and thermal plumes are present within the first set of the plurality of grid cells, calculating, by the computer, an airflow velocity value for each of a second set of the plurality of grid cells, the second set being different from the first set, modifying the determined airflow velocity value for any of the second set of the plurality of grid cells where the effects of buoyancy forces are present, and storing, on a storage device, the modified airflow values.
Maine Medical Partners Surgical CareMaine Medical Partners Surgical Care General Surgery 887 Congress St STE 400, Portland, ME 04102 2077746368 (phone), 2077749388 (fax)
Education:
Medical School Brown University Alpert Medical School Graduated: 1999
Procedures:
Abdominal Aortic Aneurysm Aortic Aneurysm Repair Lower Leg Amputation Peripheral Vascular Bypass Endarterectomy Gallbladder Removal Hernia Repair Small Bowel Resection Thromboendarterectomy of the Peripheral Arteries Varicose Vein Procedures
Dr. Healey graduated from the Brown University Alpert Medical School in 1999. He works in Portland, ME and specializes in Vascular Surgery. Dr. Healey is affiliated with Maine General Medical Center, Maine Medical Center and New England Rehabilitation Hospital Of Portland.
Chris Healey (1984-1988), Eric Matechak (2000-2008), John Vojick (1978-1982), Diane Usher (1977-1981), Catherine Cornell (1978-1982), Tiffany Thomas (1991-1995)